MNIST Auxiliary Decoder (English).ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# MNIST Classification using Abnormality Module"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<h5>What if one uses an alphabet as an input to the model trained only with MNIST dataset?</h5>"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "To answer the question above, I've been reading some papers. Among those papers, I encountered the paper mentioned below, and the method introduced in the paper seems to be more approachable than other papers. Therefore, with some helps from true experts, I've written these codes to implement the paper. <b>Feedbacks are always welcome!</b>"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "In the paper 'A Baseline for Detecting Misclassified and Out-of-Distribution Examples in Neural Networks' (https://arxiv.org/abs/1610.02136), Hendrycks and Gimpel question about the high-confidence predictions of softmaxes due to its fast-growing exponential characteristic. Although, the paper also shows that softmax prediction probabilities are working for abnormality detection, it introduces a new method for detection: an auxiliary decoder (Zhang et al., 2016).  "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "image address(I tried directly to show the image, but haven't figured out the solution...): https://www.semanticscholar.org/paper/A-Baseline-for-Detecting-Misclassified-and-Examples-Hendrycks-Gimpel/6ff2a434578ff2746b9283e45abf296887f48a2d/figure/1",
    "\n",
    "<h4><center>Figure: Abnormality Module Example </center></h4>\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Here's a procedure of training abnormality module using auxiliary decoder:\n",
    "\n",
    "1. The decoder and scorer are trained jointly on in-distribution examples. \n",
    "2. The blue layers in the figure above are frozen\n",
    "3. Train red layers on clean and noised training examples\n",
    "4. After training we consequently have a normal classifier, an auxiliary decoder, and what we call an abnormality module. The gains from the abnormality module demonstrate there are possible research avenues for outperforming the baseline (for mode details, I'd suggest reading the paper).\n",
    "\n",
    "With these detailed descriptions of abnormality module, here's an implemented abnormality module, originally written by Sangsu Lee (https://github.com/2sang), and modified by myself."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 0. Importing Modules and Load Dataset"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "To implement the abnormality module, I use the MNIST dataset."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "C:\\Users\\dabsdamoon\\AppData\\Local\\Continuum\\anaconda3\\lib\\site-packages\\h5py\\__init__.py:36: FutureWarning: Conversion of the second argument of issubdtype from `float` to `np.floating` is deprecated. In future, it will be treated as `np.float64 == np.dtype(float).type`.\n",
      "  from ._conv import register_converters as _register_converters\n",
      "Using TensorFlow backend.\n"
     ]
    }
   ],
   "source": [
    "import os\n",
    "import numpy as np\n",
    "\n",
    "import keras.backend as K\n",
    "\n",
    "import keras\n",
    "from keras.layers import Input, Dense\n",
    "from keras.models import Model, save_model, load_model\n",
    "from noise_util import add_distortion_noise, add_distortion_blur\n",
    "from noise_util import rotate90_if_not_zero\n",
    "\n",
    "import matplotlib.pyplot as plt\n",
    "import sklearn.metrics as sk\n",
    "% matplotlib inline"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "##### Load MNIST dataset\n",
    "\n",
    "mnist = keras.datasets.mnist\n",
    "(mnist_train_x, mnist_train_y), (mnist_test_x, mnist_test_y) = mnist.load_data()\n",
    "\n",
    "mnist_train_x = np.reshape(mnist_train_x, [-1, 28*28]) / 255.\n",
    "mnist_test_x = np.reshape(mnist_test_x, [-1, 28*28]) / 255."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 1. Jointly Training Decoder and Scorer"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Below is the process of jointly training decoder and scorer at the same time (Note: The warning \"Output 'h2' missing from loss dictionary\" is something has to be done in purpose; the output h2 is just a second layer output, and there's no need to train the model in order to produce better 'h2' since we're going to input h2 just the way it is to abnormality module."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "__________________________________________________________________________________________________\n",
      "Layer (type)                    Output Shape         Param #     Connected to                     \n",
      "==================================================================================================\n",
      "image_input (InputLayer)        (None, 784)          0                                            \n",
      "__________________________________________________________________________________________________\n",
      "h1 (Dense)                      (None, 256)          200960      image_input[0][0]                \n",
      "__________________________________________________________________________________________________\n",
      "h2 (Dense)                      (None, 256)          65792       h1[0][0]                         \n",
      "__________________________________________________________________________________________________\n",
      "bottleneck (Dense)              (None, 128)          32896       h2[0][0]                         \n",
      "__________________________________________________________________________________________________\n",
      "decode1 (Dense)                 (None, 256)          33024       bottleneck[0][0]                 \n",
      "__________________________________________________________________________________________________\n",
      "h3 (Dense)                      (None, 256)          65792       h2[0][0]                         \n",
      "__________________________________________________________________________________________________\n",
      "decode2 (Dense)                 (None, 256)          65792       decode1[0][0]                    \n",
      "__________________________________________________________________________________________________\n",
      "logits_out (Dense)              (None, 10)           2570        h3[0][0]                         \n",
      "__________________________________________________________________________________________________\n",
      "rec_output (Dense)              (None, 784)          201488      decode2[0][0]                    \n",
      "==================================================================================================\n",
      "Total params: 668,314\n",
      "Trainable params: 668,314\n",
      "Non-trainable params: 0\n",
      "__________________________________________________________________________________________________\n",
      "None\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "C:\\Users\\dabsdamoon\\AppData\\Local\\Continuum\\anaconda3\\lib\\site-packages\\ipykernel_launcher.py:35: UserWarning: Output \"h2\" missing from loss dictionary. We assume this was done on purpose, and we will not be expecting any data to be passed to \"h2\" during training.\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Train on 60000 samples, validate on 10000 samples\n",
      "Epoch 1/10\n",
      "60000/60000 [==============================] - 5s 91us/step - loss: 0.2337 - logits_out_loss: 0.2558 - rec_output_loss: 0.0347 - val_loss: 0.1040 - val_logits_out_loss: 0.1129 - val_rec_output_loss: 0.0240\n",
      "Epoch 2/10\n",
      "60000/60000 [==============================] - 3s 56us/step - loss: 0.0870 - logits_out_loss: 0.0942 - rec_output_loss: 0.0226 - val_loss: 0.0863 - val_logits_out_loss: 0.0935 - val_rec_output_loss: 0.0214\n",
      "Epoch 3/10\n",
      "60000/60000 [==============================] - 3s 55us/step - loss: 0.0565 - logits_out_loss: 0.0605 - rec_output_loss: 0.0207 - val_loss: 0.0729 - val_logits_out_loss: 0.0788 - val_rec_output_loss: 0.0200\n",
      "Epoch 4/10\n",
      "60000/60000 [==============================] - 3s 53us/step - loss: 0.0441 - logits_out_loss: 0.0468 - rec_output_loss: 0.0198 - val_loss: 0.0635 - val_logits_out_loss: 0.0684 - val_rec_output_loss: 0.0194\n",
      "Epoch 5/10\n",
      "60000/60000 [==============================] - 3s 54us/step - loss: 0.0347 - logits_out_loss: 0.0364 - rec_output_loss: 0.0193 - val_loss: 0.0804 - val_logits_out_loss: 0.0872 - val_rec_output_loss: 0.0195\n",
      "Epoch 6/10\n",
      "60000/60000 [==============================] - 3s 53us/step - loss: 0.0279 - logits_out_loss: 0.0289 - rec_output_loss: 0.0190 - val_loss: 0.0771 - val_logits_out_loss: 0.0835 - val_rec_output_loss: 0.0187\n",
      "Epoch 7/10\n",
      "60000/60000 [==============================] - 3s 53us/step - loss: 0.0246 - logits_out_loss: 0.0253 - rec_output_loss: 0.0188 - val_loss: 0.0722 - val_logits_out_loss: 0.0780 - val_rec_output_loss: 0.0191\n",
      "Epoch 8/10\n",
      "60000/60000 [==============================] - 3s 53us/step - loss: 0.0213 - logits_out_loss: 0.0216 - rec_output_loss: 0.0186 - val_loss: 0.0676 - val_logits_out_loss: 0.0730 - val_rec_output_loss: 0.0184\n",
      "Epoch 9/10\n",
      "60000/60000 [==============================] - 3s 57us/step - loss: 0.0169 - logits_out_loss: 0.0167 - rec_output_loss: 0.0184 - val_loss: 0.0691 - val_logits_out_loss: 0.0748 - val_rec_output_loss: 0.0186\n",
      "Epoch 10/10\n",
      "60000/60000 [==============================] - 4s 60us/step - loss: 0.0165 - logits_out_loss: 0.0163 - rec_output_loss: 0.0182 - val_loss: 0.0894 - val_logits_out_loss: 0.0973 - val_rec_output_loss: 0.0180\n",
      "10000/10000 [==============================] - 1s 78us/step\n",
      "metric names: ['loss', 'logits_out_loss', 'rec_output_loss']\n",
      "[0.0894134308906272, 0.0973458623195238, 0.0180215676933527]\n"
     ]
    }
   ],
   "source": [
    "##### Set parameters\n",
    "training_epochs = 10\n",
    "image_size = 28\n",
    "input_dim = image_size * image_size\n",
    "n_labels = 10\n",
    "bottleneck_dim = 128\n",
    "batch_size = 128\n",
    "\n",
    "##### Base model\n",
    "inputs = Input(shape=(input_dim, ), name='image_input')\n",
    "h1 = Dense(256, activation='relu', name='h1')(inputs)\n",
    "h2 = Dense(256, activation='relu', name='h2')(h1)\n",
    "\n",
    "##### Scorer\n",
    "h3 = Dense(256, activation='relu', name='h3')(h2)\n",
    "logits_out = Dense(n_labels, activation='softmax', name='logits_out')(h3)\n",
    "\n",
    "##### Decoder\n",
    "bottleneck = Dense(bottleneck_dim,\n",
    "                   activation='relu',\n",
    "                   name='bottleneck')(h2)\n",
    "decode1 = Dense(256, activation='relu', name='decode1')(bottleneck)\n",
    "decode2 = Dense(256, activation='relu', name='decode2')(decode1)\n",
    "reconstruction = Dense(input_dim, name='rec_output')(decode2)\n",
    "\n",
    "##### Instantiate base model\n",
    "base_model = Model(inputs, [h2, logits_out, reconstruction], name='base')\n",
    "\n",
    "print(base_model.summary())\n",
    "\n",
    "base_model.compile(optimizer='adam',\n",
    "                   loss={'logits_out': 'sparse_categorical_crossentropy',\n",
    "                         'rec_output': 'mean_squared_error'},\n",
    "                   loss_weights={'logits_out': 0.9,\n",
    "                                 'rec_output': 0.1})\n",
    "\n",
    "##### Train base model\n",
    "base_model.fit(mnist_train_x,\n",
    "               {'logits_out': mnist_train_y,\n",
    "                'rec_output': mnist_train_x},\n",
    "               validation_data = (mnist_test_x, {'logits_out': mnist_test_y, 'rec_output' : mnist_test_x}),\n",
    "               epochs=training_epochs, batch_size=batch_size)\n",
    "\n",
    "# test_loss, test_acc\n",
    "test_result = base_model.evaluate(x = mnist_test_x,\n",
    "                                  y = {'logits_out': mnist_test_y,'rec_output': mnist_test_x})\n",
    "\n",
    "\n",
    "print(\"metric names:\", base_model.metrics_names)\n",
    "\n",
    "\n",
    "print(test_result)\n",
    "\n",
    "# ##### SAVE MODEL\n",
    "# save_model(base_model, \"./mnist_aux_base.hdf5\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 2. The blue layers in the figure above are frozen"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Freeze the layers colored in blue above so that it's not trained during training auxiliary decoder"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [],
   "source": [
    "##### Freeze base model layers to prevent optimization\n",
    "\n",
    "for l in base_model.layers:\n",
    "    l.trainable = False"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 3. Train red layers on clean and noised training examples"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "After deriving score, reconstructed image, and output of 2nd layer, we need to combine those tensors into a single tensor and use at the end of our abnoramlity module. Since those tensors are currently 'layer' types, we can use a custom layer to merge those layers and generate weights to be trained."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [],
   "source": [
    "##### Custom layer for merging 3 layers into.\n",
    "\n",
    "class Merge3Ways(keras.layers.Layer):\n",
    "    \n",
    "    def __init__(self, output_dim, **kwargs):\n",
    "        self.output_dim = output_dim\n",
    "        super(Merge3Ways, self).__init__(**kwargs) # this is the process of creating my own layer\n",
    "\n",
    "    def build(self, input_shape, dtype = None):\n",
    "\n",
    "        # Destructuring shapes\n",
    "        shape_x, shape_h2, shape_logits, shape_rec = list(map(lambda shape: int(shape[1]), input_shape))\n",
    "\n",
    "        print(shape_h2, self.output_dim)\n",
    "            \n",
    "        self.weight1 = self.add_weight(name='h2_to_merge',\n",
    "                                       shape=(shape_h2, self.output_dim),\n",
    "                                       initializer='uniform')\n",
    "        \n",
    "        self.weight2 = self.add_weight(name='logits_to_merge',\n",
    "                                       shape=(shape_logits, self.output_dim),\n",
    "                                       initializer='uniform')\n",
    "        \n",
    "        self.weight3 = self.add_weight(name='rec_to_merge',\n",
    "                                       shape=(shape_rec, self.output_dim),\n",
    "                                       initializer='uniform')\n",
    "        \n",
    "        self.bias = self.add_weight(name='bias',\n",
    "                                    shape=(self.output_dim,),                                        \n",
    "                                    initializer='uniform')\n",
    "        \n",
    "        super(Merge3Ways, self).build(input_shape)\n",
    "\n",
    "    def call(self, inputs, dtype = None):\n",
    "\n",
    "        ##### usage here: merged = Merge3Ways(512)([image_inputs, h2, logits_out, reconstruction])\n",
    "        ##### inputs here should have a form of list such that: [image_inputs, h2, logits_out, reconstruction]\n",
    "        \n",
    "        x, h2, logits_out, reconstruction = inputs\n",
    "        a1 = K.dot(h2, self.weight1)\n",
    "        a2 = K.dot(logits_out, self.weight2)\n",
    "        a3 = K.dot(K.square(reconstruction-x), self.weight3) # subtraction and elementwise squaring\n",
    "        return (a1 + a2 + a3) + self.bias\n",
    "    \n",
    "    def compute_output_shape(self, input_shape):\n",
    "        return (input_shape[0][0], self.output_dim)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [],
   "source": [
    "image_inputs = base_model.inputs[0]\n",
    "\n",
    "##### Deconstruct outputs from previous base model\n",
    "\n",
    "h2, logits_out, reconstruction = base_model.outputs"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "256 512\n",
      "__________________________________________________________________________________________________\n",
      "Layer (type)                    Output Shape         Param #     Connected to                     \n",
      "==================================================================================================\n",
      "image_input (InputLayer)        (None, 784)          0                                            \n",
      "__________________________________________________________________________________________________\n",
      "h1 (Dense)                      (None, 256)          200960      image_input[0][0]                \n",
      "__________________________________________________________________________________________________\n",
      "h2 (Dense)                      (None, 256)          65792       h1[0][0]                         \n",
      "__________________________________________________________________________________________________\n",
      "bottleneck (Dense)              (None, 128)          32896       h2[0][0]                         \n",
      "__________________________________________________________________________________________________\n",
      "decode1 (Dense)                 (None, 256)          33024       bottleneck[0][0]                 \n",
      "__________________________________________________________________________________________________\n",
      "h3 (Dense)                      (None, 256)          65792       h2[0][0]                         \n",
      "__________________________________________________________________________________________________\n",
      "decode2 (Dense)                 (None, 256)          65792       decode1[0][0]                    \n",
      "__________________________________________________________________________________________________\n",
      "logits_out (Dense)              (None, 10)           2570        h3[0][0]                         \n",
      "__________________________________________________________________________________________________\n",
      "rec_output (Dense)              (None, 784)          201488      decode2[0][0]                    \n",
      "__________________________________________________________________________________________________\n",
      "merge3_ways_1 (Merge3Ways)      (None, 512)          538112      image_input[0][0]                \n",
      "                                                                 h2[0][0]                         \n",
      "                                                                 logits_out[0][0]                 \n",
      "                                                                 rec_output[0][0]                 \n",
      "__________________________________________________________________________________________________\n",
      "risk_1 (Dense)                  (None, 128)          65664       merge3_ways_1[0][0]              \n",
      "__________________________________________________________________________________________________\n",
      "risk_out (Dense)                (None, 1)            129         risk_1[0][0]                     \n",
      "==================================================================================================\n",
      "Total params: 1,272,219\n",
      "Trainable params: 603,905\n",
      "Non-trainable params: 668,314\n",
      "__________________________________________________________________________________________________\n",
      "None\n"
     ]
    }
   ],
   "source": [
    "merged = Merge3Ways(512)([image_inputs, h2, logits_out, reconstruction]) # output dimension of 512\n",
    "\n",
    "risk_1 = Dense(128, activation='relu', name='risk_1')(merged)\n",
    "risk_out = Dense(1, name='risk_out', activation='sigmoid')(risk_1)\n",
    "\n",
    "# Instantiate abnormality module\n",
    "aux_model = Model(image_inputs, [logits_out, risk_out])\n",
    "\n",
    "print(aux_model.summary())"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Also, we need to create images that are out-of-distribution (OOD). Here, we first divide train and test dataset into 2:1 ratio, and then create 1/4 of training data as in-distribution and 3/4 as out-distribution."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [],
   "source": [
    "\n",
    "def mnist_fetcher(mnist_x, chunksize, mnist_y=None):\n",
    "    \n",
    "    print('Data shape:', mnist_x.shape[0], \n",
    "          'Chunk size: ', chunksize)\n",
    "    \n",
    "    num_chunks = mnist_x.shape[0] // chunksize\n",
    "    \n",
    "    print(num_chunks)\n",
    "    \n",
    "    for i in range(num_chunks):\n",
    "        if mnist_y is not None: # if true\n",
    "            yield [mnist_x[i * chunksize: (i + 1) * chunksize],\n",
    "                   mnist_y[i * chunksize: (i + 1) * chunksize]]\n",
    "        else:\n",
    "            yield mnist_x[i * chunksize: (i + 1) * chunksize]\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Batch size:  128\n",
      "Chunk size for train:  85\n",
      "Chunk size for test:  42\n",
      "TCU:  21\n"
     ]
    }
   ],
   "source": [
    "print('Batch size: ', batch_size)\n",
    "            \n",
    "chunksize_train = int(batch_size*(4/6))\n",
    "print('Chunk size for train: ', chunksize_train)\n",
    "chunksize_test = int(batch_size*(2/6))\n",
    "print('Chunk size for test: ', chunksize_test)\n",
    "\n",
    "tcu = chunksize_train // 4 # create different images by tcu unit\n",
    "print('TCU: ', tcu)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Data shape: 60000 Chunk size:  85\n",
      "705\n"
     ]
    }
   ],
   "source": [
    "##### Setup datasets for training abnormality module\n",
    "\n",
    "batches = []\n",
    "\n",
    "for train_x, train_y in mnist_fetcher(mnist_train_x, chunksize_train, mnist_train_y):\n",
    "\n",
    "    # In-distribution dataset(half of batch)\n",
    "    bx0 = train_x[:tcu]   # 25% of train dataset is in-distribution\n",
    "    \n",
    "    # Out-of-distribution dataset(rest half of batch) by adding noise(see image_augmenting.py)\n",
    "    bx1 = train_x[tcu:2*tcu]  # 25% of train dataset is OOD-ed by adding distortion noise\n",
    "    bx1 = add_distortion_noise(bx1) # distortion noise\n",
    "\n",
    "    bx2 = train_x[2*tcu:3*tcu]  # 25% of train dataset is OOD-ed by adding distorting blur\n",
    "    bx2 = add_distortion_blur(bx2) # distortion blur\n",
    "\n",
    "    bx3 = train_x[3*tcu:]  # 25% of train dataset is OOD-ed by rotating 90 degree\n",
    "    by3 = train_y[3*tcu:]\n",
    "    bx3 = rotate90_if_not_zero(bx3, by3) # rotation 90\n",
    "\n",
    "    assert(len(bx3) == len(by3))\n",
    "\n",
    "    \n",
    "    bx = np.vstack((bx0, bx1, bx2, bx3))  # Stack altogether and label whether the observation comes from in or out of distribution\n",
    "    by = np.zeros(len(bx))\n",
    "    by[:len(bx0)] = 1 # label 25% as in-distribution\n",
    "        \n",
    "    batch = [bx, by] # create as a batch\n",
    "    \n",
    "    batches.append(batch)\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Finally we train our model:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "C:\\Users\\dabsdamoon\\AppData\\Local\\Continuum\\anaconda3\\lib\\site-packages\\ipykernel_launcher.py:4: UserWarning: Output \"logits_out\" missing from loss dictionary. We assume this was done on purpose, and we will not be expecting any data to be passed to \"logits_out\" during training.\n",
      "  after removing the cwd from sys.path.\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "__________________________________________________________________________________________________\n",
      "Layer (type)                    Output Shape         Param #     Connected to                     \n",
      "==================================================================================================\n",
      "image_input (InputLayer)        (None, 784)          0                                            \n",
      "__________________________________________________________________________________________________\n",
      "h1 (Dense)                      (None, 256)          200960      image_input[0][0]                \n",
      "__________________________________________________________________________________________________\n",
      "h2 (Dense)                      (None, 256)          65792       h1[0][0]                         \n",
      "__________________________________________________________________________________________________\n",
      "bottleneck (Dense)              (None, 128)          32896       h2[0][0]                         \n",
      "__________________________________________________________________________________________________\n",
      "decode1 (Dense)                 (None, 256)          33024       bottleneck[0][0]                 \n",
      "__________________________________________________________________________________________________\n",
      "h3 (Dense)                      (None, 256)          65792       h2[0][0]                         \n",
      "__________________________________________________________________________________________________\n",
      "decode2 (Dense)                 (None, 256)          65792       decode1[0][0]                    \n",
      "__________________________________________________________________________________________________\n",
      "logits_out (Dense)              (None, 10)           2570        h3[0][0]                         \n",
      "__________________________________________________________________________________________________\n",
      "rec_output (Dense)              (None, 784)          201488      decode2[0][0]                    \n",
      "__________________________________________________________________________________________________\n",
      "merge3_ways_1 (Merge3Ways)      (None, 512)          538112      image_input[0][0]                \n",
      "                                                                 h2[0][0]                         \n",
      "                                                                 logits_out[0][0]                 \n",
      "                                                                 rec_output[0][0]                 \n",
      "__________________________________________________________________________________________________\n",
      "risk_1 (Dense)                  (None, 128)          65664       merge3_ways_1[0][0]              \n",
      "__________________________________________________________________________________________________\n",
      "risk_out (Dense)                (None, 1)            129         risk_1[0][0]                     \n",
      "==================================================================================================\n",
      "Total params: 1,272,219\n",
      "Trainable params: 603,905\n",
      "Non-trainable params: 668,314\n",
      "__________________________________________________________________________________________________\n",
      "None\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 5ms/step - loss: 0.7869 - risk_out_loss: 0.7869 - val_loss: 4.6133 - val_risk_out_loss: 4.6133\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 322us/step - loss: 0.5345 - risk_out_loss: 0.5345 - val_loss: 4.4379 - val_risk_out_loss: 4.4379\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 299us/step - loss: 0.5032 - risk_out_loss: 0.5032 - val_loss: 2.0563 - val_risk_out_loss: 2.0563\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 310us/step - loss: 0.3892 - risk_out_loss: 0.3892 - val_loss: -1.0297 - val_risk_out_loss: -1.0297\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 322us/step - loss: 0.3180 - risk_out_loss: 0.3180 - val_loss: -3.9508 - val_risk_out_loss: -3.9508\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 299us/step - loss: 0.2682 - risk_out_loss: 0.2682 - val_loss: -6.4858 - val_risk_out_loss: -6.4858\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 310us/step - loss: 0.2683 - risk_out_loss: 0.2683 - val_loss: -8.6139 - val_risk_out_loss: -8.6139\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 333us/step - loss: 0.2373 - risk_out_loss: 0.2373 - val_loss: -10.1895 - val_risk_out_loss: -10.1895\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 298us/step - loss: 0.2061 - risk_out_loss: 0.2061 - val_loss: -11.3103 - val_risk_out_loss: -11.3103\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 356us/step - loss: 0.1996 - risk_out_loss: 0.1996 - val_loss: -11.9987 - val_risk_out_loss: -11.9987\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 333us/step - loss: 0.1830 - risk_out_loss: 0.1830 - val_loss: -12.2658 - val_risk_out_loss: -12.2658\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 276us/step - loss: 0.1479 - risk_out_loss: 0.1479 - val_loss: -12.0700 - val_risk_out_loss: -12.0700\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 299us/step - loss: 0.1504 - risk_out_loss: 0.1504 - val_loss: -11.7242 - val_risk_out_loss: -11.7242\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 345us/step - loss: 0.1399 - risk_out_loss: 0.1399 - val_loss: -11.2471 - val_risk_out_loss: -11.2471\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 345us/step - loss: 0.1167 - risk_out_loss: 0.1167 - val_loss: -10.8600 - val_risk_out_loss: -10.8600\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 356us/step - loss: 0.1082 - risk_out_loss: 0.1082 - val_loss: -10.8338 - val_risk_out_loss: -10.8338\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 322us/step - loss: 0.0852 - risk_out_loss: 0.0852 - val_loss: -10.9274 - val_risk_out_loss: -10.9274\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 367us/step - loss: 0.0901 - risk_out_loss: 0.0901 - val_loss: -11.2349 - val_risk_out_loss: -11.2349\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 333us/step - loss: 0.1043 - risk_out_loss: 0.1043 - val_loss: -12.5610 - val_risk_out_loss: -12.5610\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 276us/step - loss: 0.0855 - risk_out_loss: 0.0855 - val_loss: -14.1788 - val_risk_out_loss: -14.1788\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 333us/step - loss: 0.0593 - risk_out_loss: 0.0593 - val_loss: -15.5328 - val_risk_out_loss: -15.5328\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 310us/step - loss: 0.0593 - risk_out_loss: 0.0593 - val_loss: -16.8865 - val_risk_out_loss: -16.8865\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 356us/step - loss: 0.0789 - risk_out_loss: 0.0789 - val_loss: -18.1362 - val_risk_out_loss: -18.1362\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 333us/step - loss: 0.0302 - risk_out_loss: 0.0302 - val_loss: -19.3007 - val_risk_out_loss: -19.3007\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 322us/step - loss: 0.0358 - risk_out_loss: 0.0358 - val_loss: -20.0976 - val_risk_out_loss: -20.0976\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "85/85 [==============================] - 0s 322us/step - loss: 0.0422 - risk_out_loss: 0.0422 - val_loss: -20.6567 - val_risk_out_loss: -20.6567\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 299us/step - loss: 0.0424 - risk_out_loss: 0.0424 - val_loss: -21.0780 - val_risk_out_loss: -21.0780\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 345us/step - loss: 0.0309 - risk_out_loss: 0.0309 - val_loss: -21.4559 - val_risk_out_loss: -21.4559\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 322us/step - loss: 0.0286 - risk_out_loss: 0.0286 - val_loss: -21.6341 - val_risk_out_loss: -21.6341\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 379us/step - loss: 0.0202 - risk_out_loss: 0.0202 - val_loss: -21.6155 - val_risk_out_loss: -21.6155\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 321us/step - loss: 0.0185 - risk_out_loss: 0.0185 - val_loss: -21.4302 - val_risk_out_loss: -21.4302\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 333us/step - loss: 0.0316 - risk_out_loss: 0.0316 - val_loss: -21.8115 - val_risk_out_loss: -21.8115\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 322us/step - loss: 0.0220 - risk_out_loss: 0.0220 - val_loss: -22.1533 - val_risk_out_loss: -22.1533\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 322us/step - loss: 0.0231 - risk_out_loss: 0.0231 - val_loss: -22.1465 - val_risk_out_loss: -22.1465\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 287us/step - loss: 0.0200 - risk_out_loss: 0.0200 - val_loss: -21.8632 - val_risk_out_loss: -21.8632\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 276us/step - loss: 0.0124 - risk_out_loss: 0.0124 - val_loss: -21.5841 - val_risk_out_loss: -21.5841\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 299us/step - loss: 0.0192 - risk_out_loss: 0.0192 - val_loss: -21.4222 - val_risk_out_loss: -21.4222\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 310us/step - loss: 0.0126 - risk_out_loss: 0.0126 - val_loss: -21.1639 - val_risk_out_loss: -21.1639\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 333us/step - loss: 0.0143 - risk_out_loss: 0.0143 - val_loss: -20.7809 - val_risk_out_loss: -20.7809\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 299us/step - loss: 0.0072 - risk_out_loss: 0.0072 - val_loss: -20.3467 - val_risk_out_loss: -20.3467\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 287us/step - loss: 0.0558 - risk_out_loss: 0.0558 - val_loss: -20.7108 - val_risk_out_loss: -20.7108\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 299us/step - loss: 0.0091 - risk_out_loss: 0.0091 - val_loss: -21.0070 - val_risk_out_loss: -21.0070\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 368us/step - loss: 0.1335 - risk_out_loss: 0.1335 - val_loss: -24.1287 - val_risk_out_loss: -24.1287\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 310us/step - loss: 0.0143 - risk_out_loss: 0.0143 - val_loss: -27.0725 - val_risk_out_loss: -27.0725\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 253us/step - loss: 0.0159 - risk_out_loss: 0.0159 - val_loss: -29.5782 - val_risk_out_loss: -29.5782\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 276us/step - loss: 0.0093 - risk_out_loss: 0.0093 - val_loss: -31.6142 - val_risk_out_loss: -31.6142\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 299us/step - loss: 0.0137 - risk_out_loss: 0.0137 - val_loss: -33.2221 - val_risk_out_loss: -33.2221\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 322us/step - loss: 0.0147 - risk_out_loss: 0.0147 - val_loss: -34.3820 - val_risk_out_loss: -34.3820\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 322us/step - loss: 0.0120 - risk_out_loss: 0.0120 - val_loss: -35.2052 - val_risk_out_loss: -35.2052\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 299us/step - loss: 0.0107 - risk_out_loss: 0.0107 - val_loss: -35.9669 - val_risk_out_loss: -35.9669\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 368us/step - loss: 0.0099 - risk_out_loss: 0.0099 - val_loss: -36.5374 - val_risk_out_loss: -36.5374\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 276us/step - loss: 0.0126 - risk_out_loss: 0.0126 - val_loss: -36.8715 - val_risk_out_loss: -36.8715\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 345us/step - loss: 0.0184 - risk_out_loss: 0.0184 - val_loss: -36.7703 - val_risk_out_loss: -36.7703\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 322us/step - loss: 0.0099 - risk_out_loss: 0.0099 - val_loss: -36.5101 - val_risk_out_loss: -36.5101\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 299us/step - loss: 0.0156 - risk_out_loss: 0.0156 - val_loss: -35.7239 - val_risk_out_loss: -35.7239\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 276us/step - loss: 0.0102 - risk_out_loss: 0.0102 - val_loss: -35.0376 - val_risk_out_loss: -35.0376\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 333us/step - loss: 0.0129 - risk_out_loss: 0.0129 - val_loss: -34.1147 - val_risk_out_loss: -34.1147\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 310us/step - loss: 0.0085 - risk_out_loss: 0.0085 - val_loss: -33.0867 - val_risk_out_loss: -33.0867\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 333us/step - loss: 0.0105 - risk_out_loss: 0.0105 - val_loss: -32.0496 - val_risk_out_loss: -32.0496\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 310us/step - loss: 0.0114 - risk_out_loss: 0.0114 - val_loss: -31.7027 - val_risk_out_loss: -31.7027\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 299us/step - loss: 0.0060 - risk_out_loss: 0.0060 - val_loss: -31.4269 - val_risk_out_loss: -31.4269\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 310us/step - loss: 0.0085 - risk_out_loss: 0.0085 - val_loss: -30.9776 - val_risk_out_loss: -30.9776\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 310us/step - loss: 0.0028 - risk_out_loss: 0.0028 - val_loss: -30.6094 - val_risk_out_loss: -30.6094\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 310us/step - loss: 0.0252 - risk_out_loss: 0.0252 - val_loss: -31.8518 - val_risk_out_loss: -31.8518\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 379us/step - loss: 0.0103 - risk_out_loss: 0.0103 - val_loss: -33.4418 - val_risk_out_loss: -33.4418\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 345us/step - loss: 0.0088 - risk_out_loss: 0.0088 - val_loss: -34.6806 - val_risk_out_loss: -34.6806\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "85/85 [==============================] - 0s 322us/step - loss: 0.0032 - risk_out_loss: 0.0032 - val_loss: -35.8164 - val_risk_out_loss: -35.8164\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 322us/step - loss: 0.0127 - risk_out_loss: 0.0127 - val_loss: -35.8548 - val_risk_out_loss: -35.8548\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 391us/step - loss: 0.0045 - risk_out_loss: 0.0045 - val_loss: -35.8166 - val_risk_out_loss: -35.8166\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 379us/step - loss: 0.0036 - risk_out_loss: 0.0036 - val_loss: -35.7270 - val_risk_out_loss: -35.7270\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 322us/step - loss: 0.0044 - risk_out_loss: 0.0044 - val_loss: -35.3977 - val_risk_out_loss: -35.3977\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 299us/step - loss: 0.0077 - risk_out_loss: 0.0077 - val_loss: -35.6562 - val_risk_out_loss: -35.6562\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 322us/step - loss: 0.0038 - risk_out_loss: 0.0038 - val_loss: -35.8498 - val_risk_out_loss: -35.8498\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 322us/step - loss: 0.0030 - risk_out_loss: 0.0030 - val_loss: -35.9924 - val_risk_out_loss: -35.9924\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 345us/step - loss: 0.0041 - risk_out_loss: 0.0041 - val_loss: -36.0982 - val_risk_out_loss: -36.0982\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 345us/step - loss: 0.0025 - risk_out_loss: 0.0025 - val_loss: -36.1364 - val_risk_out_loss: -36.1364\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 299us/step - loss: 0.0095 - risk_out_loss: 0.0095 - val_loss: -36.5906 - val_risk_out_loss: -36.5906\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 310us/step - loss: 0.0077 - risk_out_loss: 0.0077 - val_loss: -36.4489 - val_risk_out_loss: -36.4489\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 310us/step - loss: 0.0025 - risk_out_loss: 0.0025 - val_loss: -36.2975 - val_risk_out_loss: -36.2975\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 322us/step - loss: 0.0140 - risk_out_loss: 0.0140 - val_loss: -36.6528 - val_risk_out_loss: -36.6528\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 264us/step - loss: 0.0048 - risk_out_loss: 0.0048 - val_loss: -37.0431 - val_risk_out_loss: -37.0431\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 345us/step - loss: 0.0057 - risk_out_loss: 0.0057 - val_loss: -36.8813 - val_risk_out_loss: -36.8813\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 287us/step - loss: 0.0234 - risk_out_loss: 0.0234 - val_loss: -37.6836 - val_risk_out_loss: -37.6836\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 299us/step - loss: 0.0023 - risk_out_loss: 0.0023 - val_loss: -38.3589 - val_risk_out_loss: -38.3589\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 276us/step - loss: 0.0035 - risk_out_loss: 0.0035 - val_loss: -38.8890 - val_risk_out_loss: -38.8890\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 322us/step - loss: 0.0037 - risk_out_loss: 0.0037 - val_loss: -39.3746 - val_risk_out_loss: -39.3746\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 276us/step - loss: 0.0187 - risk_out_loss: 0.0187 - val_loss: -40.1008 - val_risk_out_loss: -40.1008\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 322us/step - loss: 0.0104 - risk_out_loss: 0.0104 - val_loss: -40.9358 - val_risk_out_loss: -40.9358\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 310us/step - loss: 0.0090 - risk_out_loss: 0.0090 - val_loss: -41.4769 - val_risk_out_loss: -41.4769\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 299us/step - loss: 0.0035 - risk_out_loss: 0.0035 - val_loss: -41.8709 - val_risk_out_loss: -41.8709\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 299us/step - loss: 0.0059 - risk_out_loss: 0.0059 - val_loss: -42.0231 - val_risk_out_loss: -42.0231\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 299us/step - loss: 0.0213 - risk_out_loss: 0.0213 - val_loss: -41.5561 - val_risk_out_loss: -41.5561\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 287us/step - loss: 0.0016 - risk_out_loss: 0.0016 - val_loss: -41.0449 - val_risk_out_loss: -41.0449\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 276us/step - loss: 0.0352 - risk_out_loss: 0.0352 - val_loss: -38.7748 - val_risk_out_loss: -38.7748\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 276us/step - loss: 0.0060 - risk_out_loss: 0.0060 - val_loss: -36.1075 - val_risk_out_loss: -36.1075\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 368us/step - loss: 0.0023 - risk_out_loss: 0.0023 - val_loss: -33.4133 - val_risk_out_loss: -33.4133\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 322us/step - loss: 0.0062 - risk_out_loss: 0.0062 - val_loss: -31.5476 - val_risk_out_loss: -31.5476\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 264us/step - loss: 0.0143 - risk_out_loss: 0.0143 - val_loss: -31.5261 - val_risk_out_loss: -31.5261\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 333us/step - loss: 0.0027 - risk_out_loss: 0.0027 - val_loss: -31.6650 - val_risk_out_loss: -31.6650\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 299us/step - loss: 0.0012 - risk_out_loss: 0.0012 - val_loss: -31.8453 - val_risk_out_loss: -31.8453\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 264us/step - loss: 0.0026 - risk_out_loss: 0.0026 - val_loss: -32.2802 - val_risk_out_loss: -32.2802\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 379us/step - loss: 0.0059 - risk_out_loss: 0.0059 - val_loss: -33.3581 - val_risk_out_loss: -33.3581\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 310us/step - loss: 0.0343 - risk_out_loss: 0.0343 - val_loss: -36.7704 - val_risk_out_loss: -36.7704\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 276us/step - loss: 0.0020 - risk_out_loss: 0.0020 - val_loss: -39.5031 - val_risk_out_loss: -39.5031\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 287us/step - loss: 0.0320 - risk_out_loss: 0.0320 - val_loss: -42.2738 - val_risk_out_loss: -42.2738\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 276us/step - loss: 0.0021 - risk_out_loss: 0.0021 - val_loss: -44.3438 - val_risk_out_loss: -44.3438\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 287us/step - loss: 0.0055 - risk_out_loss: 0.0055 - val_loss: -45.7195 - val_risk_out_loss: -45.7195\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "85/85 [==============================] - 0s 299us/step - loss: 0.0080 - risk_out_loss: 0.0080 - val_loss: -46.4526 - val_risk_out_loss: -46.4526\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 276us/step - loss: 0.0039 - risk_out_loss: 0.0039 - val_loss: -46.9872 - val_risk_out_loss: -46.9872\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 264us/step - loss: 0.0034 - risk_out_loss: 0.0034 - val_loss: -47.4631 - val_risk_out_loss: -47.4631\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 356us/step - loss: 0.0068 - risk_out_loss: 0.0068 - val_loss: -47.6743 - val_risk_out_loss: -47.6743\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 322us/step - loss: 0.0017 - risk_out_loss: 0.0017 - val_loss: -47.8267 - val_risk_out_loss: -47.8267\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 333us/step - loss: 0.0127 - risk_out_loss: 0.0127 - val_loss: -47.6567 - val_risk_out_loss: -47.6567\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 345us/step - loss: 0.0030 - risk_out_loss: 0.0030 - val_loss: -47.4402 - val_risk_out_loss: -47.4402\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 345us/step - loss: 0.0031 - risk_out_loss: 0.0031 - val_loss: -47.1745 - val_risk_out_loss: -47.1745\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 310us/step - loss: 0.0026 - risk_out_loss: 0.0026 - val_loss: -46.8993 - val_risk_out_loss: -46.8993\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 333us/step - loss: 0.0180 - risk_out_loss: 0.0180 - val_loss: -46.0339 - val_risk_out_loss: -46.0339\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 402us/step - loss: 0.0055 - risk_out_loss: 0.0055 - val_loss: -45.0617 - val_risk_out_loss: -45.0617\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 333us/step - loss: 0.0046 - risk_out_loss: 0.0046 - val_loss: -43.9291 - val_risk_out_loss: -43.9291\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 276us/step - loss: 0.0030 - risk_out_loss: 0.0030 - val_loss: -42.6830 - val_risk_out_loss: -42.6830\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 322us/step - loss: 0.0206 - risk_out_loss: 0.0206 - val_loss: -42.9706 - val_risk_out_loss: -42.9706\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 264us/step - loss: 0.0013 - risk_out_loss: 0.0013 - val_loss: -43.1489 - val_risk_out_loss: -43.1489\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 345us/step - loss: 0.0057 - risk_out_loss: 0.0057 - val_loss: -42.9451 - val_risk_out_loss: -42.9451\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 310us/step - loss: 0.0019 - risk_out_loss: 0.0019 - val_loss: -42.6313 - val_risk_out_loss: -42.6313\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 310us/step - loss: 0.0017 - risk_out_loss: 0.0017 - val_loss: -42.2608 - val_risk_out_loss: -42.2608\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 322us/step - loss: 0.0012 - risk_out_loss: 0.0012 - val_loss: -41.8632 - val_risk_out_loss: -41.8632\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 276us/step - loss: 0.0014 - risk_out_loss: 0.0014 - val_loss: -41.4683 - val_risk_out_loss: -41.4683\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 310us/step - loss: 9.8064e-04 - risk_out_loss: 9.8064e-04 - val_loss: -41.0597 - val_risk_out_loss: -41.0597\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 345us/step - loss: 0.0023 - risk_out_loss: 0.0023 - val_loss: -40.5247 - val_risk_out_loss: -40.5247\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 299us/step - loss: 7.8738e-04 - risk_out_loss: 7.8738e-04 - val_loss: -40.0597 - val_risk_out_loss: -40.0597\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 276us/step - loss: 0.0017 - risk_out_loss: 0.0017 - val_loss: -39.5988 - val_risk_out_loss: -39.5988\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 310us/step - loss: 0.0066 - risk_out_loss: 0.0066 - val_loss: -40.2364 - val_risk_out_loss: -40.2364\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 368us/step - loss: 9.5552e-04 - risk_out_loss: 9.5552e-04 - val_loss: -40.8088 - val_risk_out_loss: -40.8088\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 333us/step - loss: 0.0036 - risk_out_loss: 0.0036 - val_loss: -41.2992 - val_risk_out_loss: -41.2992\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 276us/step - loss: 0.0017 - risk_out_loss: 0.0017 - val_loss: -41.8163 - val_risk_out_loss: -41.8163\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 299us/step - loss: 0.0011 - risk_out_loss: 0.0011 - val_loss: -42.2951 - val_risk_out_loss: -42.2951\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 287us/step - loss: 8.4587e-04 - risk_out_loss: 8.4587e-04 - val_loss: -42.7023 - val_risk_out_loss: -42.7023\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 379us/step - loss: 7.2571e-04 - risk_out_loss: 7.2571e-04 - val_loss: -43.0795 - val_risk_out_loss: -43.0795\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 368us/step - loss: 7.5256e-04 - risk_out_loss: 7.5256e-04 - val_loss: -43.4039 - val_risk_out_loss: -43.4039\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 241us/step - loss: 9.7498e-04 - risk_out_loss: 9.7498e-04 - val_loss: -43.6696 - val_risk_out_loss: -43.6696\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 310us/step - loss: 0.0019 - risk_out_loss: 0.0019 - val_loss: -43.7798 - val_risk_out_loss: -43.7798\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 253us/step - loss: 0.0051 - risk_out_loss: 0.0051 - val_loss: -43.8704 - val_risk_out_loss: -43.8704\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 345us/step - loss: 0.0183 - risk_out_loss: 0.0183 - val_loss: -44.7568 - val_risk_out_loss: -44.7568\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 322us/step - loss: 0.0033 - risk_out_loss: 0.0033 - val_loss: -45.3778 - val_risk_out_loss: -45.3778\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 287us/step - loss: 0.0768 - risk_out_loss: 0.0768 - val_loss: -44.1968 - val_risk_out_loss: -44.1968\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 310us/step - loss: 9.1271e-04 - risk_out_loss: 9.1271e-04 - val_loss: -42.9068 - val_risk_out_loss: -42.9068\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 276us/step - loss: 6.4995e-04 - risk_out_loss: 6.4995e-04 - val_loss: -41.6248 - val_risk_out_loss: -41.6248\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 299us/step - loss: 6.1031e-04 - risk_out_loss: 6.1031e-04 - val_loss: -40.4135 - val_risk_out_loss: -40.4135\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 322us/step - loss: 0.0011 - risk_out_loss: 0.0011 - val_loss: -39.3421 - val_risk_out_loss: -39.3421\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 299us/step - loss: 6.8662e-04 - risk_out_loss: 6.8662e-04 - val_loss: -38.3312 - val_risk_out_loss: -38.3312\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 287us/step - loss: 0.0294 - risk_out_loss: 0.0294 - val_loss: -39.3170 - val_risk_out_loss: -39.3170\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 264us/step - loss: 0.0610 - risk_out_loss: 0.0610 - val_loss: -41.8550 - val_risk_out_loss: -41.8550\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 276us/step - loss: 6.4015e-04 - risk_out_loss: 6.4015e-04 - val_loss: -43.7500 - val_risk_out_loss: -43.7500\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 264us/step - loss: 0.0012 - risk_out_loss: 0.0012 - val_loss: -45.1116 - val_risk_out_loss: -45.1116\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 276us/step - loss: 0.0138 - risk_out_loss: 0.0138 - val_loss: -46.5647 - val_risk_out_loss: -46.5647\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 264us/step - loss: 7.4141e-04 - risk_out_loss: 7.4141e-04 - val_loss: -47.6481 - val_risk_out_loss: -47.6481\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 287us/step - loss: 0.0012 - risk_out_loss: 0.0012 - val_loss: -48.4375 - val_risk_out_loss: -48.4375\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 287us/step - loss: 0.0018 - risk_out_loss: 0.0018 - val_loss: -49.0771 - val_risk_out_loss: -49.0771\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 299us/step - loss: 0.0015 - risk_out_loss: 0.0015 - val_loss: -49.5441 - val_risk_out_loss: -49.5441\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 299us/step - loss: 0.0126 - risk_out_loss: 0.0126 - val_loss: -49.6326 - val_risk_out_loss: -49.6326\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 333us/step - loss: 0.0029 - risk_out_loss: 0.0029 - val_loss: -49.6671 - val_risk_out_loss: -49.6671\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 287us/step - loss: 0.0051 - risk_out_loss: 0.0051 - val_loss: -49.5822 - val_risk_out_loss: -49.5822\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 310us/step - loss: 0.0329 - risk_out_loss: 0.0329 - val_loss: -48.7637 - val_risk_out_loss: -48.7637\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 333us/step - loss: 0.0015 - risk_out_loss: 0.0015 - val_loss: -47.8342 - val_risk_out_loss: -47.8342\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 299us/step - loss: 0.0020 - risk_out_loss: 0.0020 - val_loss: -46.7723 - val_risk_out_loss: -46.7723\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 264us/step - loss: 0.0039 - risk_out_loss: 0.0039 - val_loss: -45.5897 - val_risk_out_loss: -45.5897\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 356us/step - loss: 0.0016 - risk_out_loss: 0.0016 - val_loss: -44.3525 - val_risk_out_loss: -44.3525\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 310us/step - loss: 0.0020 - risk_out_loss: 0.0020 - val_loss: -43.0075 - val_risk_out_loss: -43.0075\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 287us/step - loss: 5.3472e-04 - risk_out_loss: 5.3472e-04 - val_loss: -41.6678 - val_risk_out_loss: -41.6678\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 322us/step - loss: 0.0098 - risk_out_loss: 0.0098 - val_loss: -41.1505 - val_risk_out_loss: -41.1505\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 287us/step - loss: 7.5995e-04 - risk_out_loss: 7.5995e-04 - val_loss: -40.6676 - val_risk_out_loss: -40.6676\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 322us/step - loss: 0.0029 - risk_out_loss: 0.0029 - val_loss: -40.4744 - val_risk_out_loss: -40.4744\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 322us/step - loss: 0.0020 - risk_out_loss: 0.0020 - val_loss: -40.3976 - val_risk_out_loss: -40.3976\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 287us/step - loss: 0.0017 - risk_out_loss: 0.0017 - val_loss: -40.4267 - val_risk_out_loss: -40.4267\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 368us/step - loss: 0.0028 - risk_out_loss: 0.0028 - val_loss: -40.7798 - val_risk_out_loss: -40.7798\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 345us/step - loss: 0.0029 - risk_out_loss: 0.0029 - val_loss: -41.3838 - val_risk_out_loss: -41.3838\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 299us/step - loss: 6.0184e-04 - risk_out_loss: 6.0184e-04 - val_loss: -41.8795 - val_risk_out_loss: -41.8795\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 276us/step - loss: 0.0358 - risk_out_loss: 0.0358 - val_loss: -43.3279 - val_risk_out_loss: -43.3279\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 287us/step - loss: 0.0014 - risk_out_loss: 0.0014 - val_loss: -44.5356 - val_risk_out_loss: -44.5356\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 276us/step - loss: 6.9897e-04 - risk_out_loss: 6.9897e-04 - val_loss: -45.5118 - val_risk_out_loss: -45.5118\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 276us/step - loss: 9.8172e-04 - risk_out_loss: 9.8172e-04 - val_loss: -46.3027 - val_risk_out_loss: -46.3027\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 299us/step - loss: 0.0019 - risk_out_loss: 0.0019 - val_loss: -46.9230 - val_risk_out_loss: -46.9230\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 333us/step - loss: 8.5712e-04 - risk_out_loss: 8.5712e-04 - val_loss: -47.4238 - val_risk_out_loss: -47.4238\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 333us/step - loss: 9.8967e-04 - risk_out_loss: 9.8967e-04 - val_loss: -47.8560 - val_risk_out_loss: -47.8560\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 310us/step - loss: 0.0070 - risk_out_loss: 0.0070 - val_loss: -48.5308 - val_risk_out_loss: -48.5308\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 322us/step - loss: 0.0021 - risk_out_loss: 0.0021 - val_loss: -49.0647 - val_risk_out_loss: -49.0647\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 253us/step - loss: 0.0015 - risk_out_loss: 0.0015 - val_loss: -49.4993 - val_risk_out_loss: -49.4993\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 333us/step - loss: 0.0030 - risk_out_loss: 0.0030 - val_loss: -49.8148 - val_risk_out_loss: -49.8148\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 368us/step - loss: 9.7044e-04 - risk_out_loss: 9.7044e-04 - val_loss: -50.0330 - val_risk_out_loss: -50.0330\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 264us/step - loss: 0.0015 - risk_out_loss: 0.0015 - val_loss: -50.2176 - val_risk_out_loss: -50.2176\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 276us/step - loss: 0.0319 - risk_out_loss: 0.0319 - val_loss: -50.0314 - val_risk_out_loss: -50.0314\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 310us/step - loss: 0.0099 - risk_out_loss: 0.0099 - val_loss: -49.6569 - val_risk_out_loss: -49.6569\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 287us/step - loss: 0.0015 - risk_out_loss: 0.0015 - val_loss: -49.2109 - val_risk_out_loss: -49.2109\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 322us/step - loss: 7.8160e-04 - risk_out_loss: 7.8160e-04 - val_loss: -48.7816 - val_risk_out_loss: -48.7816\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 333us/step - loss: 0.0019 - risk_out_loss: 0.0019 - val_loss: -48.3149 - val_risk_out_loss: -48.3149\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 322us/step - loss: 0.0035 - risk_out_loss: 0.0035 - val_loss: -47.7450 - val_risk_out_loss: -47.7450\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 310us/step - loss: 9.0228e-04 - risk_out_loss: 9.0228e-04 - val_loss: -47.1848 - val_risk_out_loss: -47.1848\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 299us/step - loss: 0.0023 - risk_out_loss: 0.0023 - val_loss: -46.6362 - val_risk_out_loss: -46.6362\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 287us/step - loss: 0.0013 - risk_out_loss: 0.0013 - val_loss: -46.1195 - val_risk_out_loss: -46.1195\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 322us/step - loss: 7.9328e-04 - risk_out_loss: 7.9328e-04 - val_loss: -45.6393 - val_risk_out_loss: -45.6393\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 310us/step - loss: 8.2526e-04 - risk_out_loss: 8.2526e-04 - val_loss: -45.1557 - val_risk_out_loss: -45.1557\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 368us/step - loss: 8.1308e-04 - risk_out_loss: 8.1308e-04 - val_loss: -44.6887 - val_risk_out_loss: -44.6887\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 299us/step - loss: 0.0035 - risk_out_loss: 0.0035 - val_loss: -44.4687 - val_risk_out_loss: -44.4687\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 287us/step - loss: 2.9098e-04 - risk_out_loss: 2.9098e-04 - val_loss: -44.2829 - val_risk_out_loss: -44.2829\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 310us/step - loss: 6.2522e-04 - risk_out_loss: 6.2522e-04 - val_loss: -44.0753 - val_risk_out_loss: -44.0753\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 299us/step - loss: 4.1408e-04 - risk_out_loss: 4.1408e-04 - val_loss: -43.8961 - val_risk_out_loss: -43.8961\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 299us/step - loss: 0.0117 - risk_out_loss: 0.0117 - val_loss: -44.4946 - val_risk_out_loss: -44.4946\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 310us/step - loss: 0.0247 - risk_out_loss: 0.0247 - val_loss: -45.9173 - val_risk_out_loss: -45.9173\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 287us/step - loss: 4.0036e-04 - risk_out_loss: 4.0036e-04 - val_loss: -47.0607 - val_risk_out_loss: -47.0607\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 310us/step - loss: 0.0010 - risk_out_loss: 0.0010 - val_loss: -47.9423 - val_risk_out_loss: -47.9423\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 264us/step - loss: 0.0014 - risk_out_loss: 0.0014 - val_loss: -48.6064 - val_risk_out_loss: -48.6064\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 287us/step - loss: 4.5145e-04 - risk_out_loss: 4.5145e-04 - val_loss: -49.1389 - val_risk_out_loss: -49.1389\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 368us/step - loss: 0.0010 - risk_out_loss: 0.0010 - val_loss: -49.5421 - val_risk_out_loss: -49.5421\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 333us/step - loss: 7.8155e-04 - risk_out_loss: 7.8155e-04 - val_loss: -49.8861 - val_risk_out_loss: -49.8861\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 299us/step - loss: 0.0015 - risk_out_loss: 0.0015 - val_loss: -50.1451 - val_risk_out_loss: -50.1451\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 299us/step - loss: 0.0017 - risk_out_loss: 0.0017 - val_loss: -50.3402 - val_risk_out_loss: -50.3402\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 299us/step - loss: 0.0031 - risk_out_loss: 0.0031 - val_loss: -50.4585 - val_risk_out_loss: -50.4585\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 310us/step - loss: 7.5442e-04 - risk_out_loss: 7.5442e-04 - val_loss: -50.5463 - val_risk_out_loss: -50.5463\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 264us/step - loss: 0.0086 - risk_out_loss: 0.0086 - val_loss: -50.5373 - val_risk_out_loss: -50.5373\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 345us/step - loss: 0.0047 - risk_out_loss: 0.0047 - val_loss: -50.4902 - val_risk_out_loss: -50.4902\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 333us/step - loss: 0.0023 - risk_out_loss: 0.0023 - val_loss: -50.4112 - val_risk_out_loss: -50.4112\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 402us/step - loss: 0.0021 - risk_out_loss: 0.0021 - val_loss: -50.2988 - val_risk_out_loss: -50.2988\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 310us/step - loss: 8.6543e-04 - risk_out_loss: 8.6543e-04 - val_loss: -50.1903 - val_risk_out_loss: -50.1903\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 276us/step - loss: 0.0047 - risk_out_loss: 0.0047 - val_loss: -50.0403 - val_risk_out_loss: -50.0403\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 241us/step - loss: 8.7111e-04 - risk_out_loss: 8.7111e-04 - val_loss: -49.8798 - val_risk_out_loss: -49.8798\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 310us/step - loss: 8.0375e-04 - risk_out_loss: 8.0375e-04 - val_loss: -49.7281 - val_risk_out_loss: -49.7281\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 276us/step - loss: 0.0018 - risk_out_loss: 0.0018 - val_loss: -49.6008 - val_risk_out_loss: -49.6008\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 299us/step - loss: 6.2112e-04 - risk_out_loss: 6.2112e-04 - val_loss: -49.4725 - val_risk_out_loss: -49.4725\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 322us/step - loss: 3.8171e-04 - risk_out_loss: 3.8171e-04 - val_loss: -49.3375 - val_risk_out_loss: -49.3375\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 276us/step - loss: 0.0143 - risk_out_loss: 0.0143 - val_loss: -48.6425 - val_risk_out_loss: -48.6425\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 287us/step - loss: 3.3699e-04 - risk_out_loss: 3.3699e-04 - val_loss: -47.9060 - val_risk_out_loss: -47.9060\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 287us/step - loss: 2.8428e-04 - risk_out_loss: 2.8428e-04 - val_loss: -47.1436 - val_risk_out_loss: -47.1436\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 287us/step - loss: 1.5160e-04 - risk_out_loss: 1.5160e-04 - val_loss: -46.3824 - val_risk_out_loss: -46.3824\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 391us/step - loss: 7.2178e-04 - risk_out_loss: 7.2178e-04 - val_loss: -45.6429 - val_risk_out_loss: -45.6429\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 333us/step - loss: 0.0017 - risk_out_loss: 0.0017 - val_loss: -45.1674 - val_risk_out_loss: -45.1674\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 322us/step - loss: 7.8422e-04 - risk_out_loss: 7.8422e-04 - val_loss: -44.6733 - val_risk_out_loss: -44.6733\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 333us/step - loss: 2.4741e-04 - risk_out_loss: 2.4741e-04 - val_loss: -44.1839 - val_risk_out_loss: -44.1839\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 322us/step - loss: 5.7233e-04 - risk_out_loss: 5.7233e-04 - val_loss: -43.7434 - val_risk_out_loss: -43.7434\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 264us/step - loss: 0.0059 - risk_out_loss: 0.0059 - val_loss: -44.1724 - val_risk_out_loss: -44.1724\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 333us/step - loss: 1.9034e-04 - risk_out_loss: 1.9034e-04 - val_loss: -44.5696 - val_risk_out_loss: -44.5696\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 299us/step - loss: 8.7283e-04 - risk_out_loss: 8.7283e-04 - val_loss: -44.8417 - val_risk_out_loss: -44.8417\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 287us/step - loss: 2.1886e-04 - risk_out_loss: 2.1886e-04 - val_loss: -45.0640 - val_risk_out_loss: -45.0640\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 322us/step - loss: 2.0869e-04 - risk_out_loss: 2.0869e-04 - val_loss: -45.2626 - val_risk_out_loss: -45.2626\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 333us/step - loss: 1.9145e-04 - risk_out_loss: 1.9145e-04 - val_loss: -45.4335 - val_risk_out_loss: -45.4335\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 356us/step - loss: 0.0016 - risk_out_loss: 0.0016 - val_loss: -45.7386 - val_risk_out_loss: -45.7386\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 322us/step - loss: 4.6631e-04 - risk_out_loss: 4.6631e-04 - val_loss: -46.0370 - val_risk_out_loss: -46.0370\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 322us/step - loss: 0.0023 - risk_out_loss: 0.0023 - val_loss: -46.2163 - val_risk_out_loss: -46.2163\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 287us/step - loss: 5.3705e-04 - risk_out_loss: 5.3705e-04 - val_loss: -46.3306 - val_risk_out_loss: -46.3306\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 333us/step - loss: 3.0546e-04 - risk_out_loss: 3.0546e-04 - val_loss: -46.4472 - val_risk_out_loss: -46.4472\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 310us/step - loss: 1.9858e-04 - risk_out_loss: 1.9858e-04 - val_loss: -46.5465 - val_risk_out_loss: -46.5465\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 276us/step - loss: 2.6616e-04 - risk_out_loss: 2.6616e-04 - val_loss: -46.6242 - val_risk_out_loss: -46.6242\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 287us/step - loss: 6.8139e-04 - risk_out_loss: 6.8139e-04 - val_loss: -46.7115 - val_risk_out_loss: -46.7115\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 253us/step - loss: 3.4161e-04 - risk_out_loss: 3.4161e-04 - val_loss: -46.7761 - val_risk_out_loss: -46.7761\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 287us/step - loss: 3.3542e-04 - risk_out_loss: 3.3542e-04 - val_loss: -46.8328 - val_risk_out_loss: -46.8328\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 264us/step - loss: 0.0010 - risk_out_loss: 0.0010 - val_loss: -46.9573 - val_risk_out_loss: -46.9573\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 287us/step - loss: 4.7581e-04 - risk_out_loss: 4.7581e-04 - val_loss: -47.0529 - val_risk_out_loss: -47.0529\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 276us/step - loss: 0.0034 - risk_out_loss: 0.0034 - val_loss: -46.9674 - val_risk_out_loss: -46.9674\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 345us/step - loss: 1.8536e-04 - risk_out_loss: 1.8536e-04 - val_loss: -46.8818 - val_risk_out_loss: -46.8818\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 333us/step - loss: 3.8407e-04 - risk_out_loss: 3.8407e-04 - val_loss: -46.7983 - val_risk_out_loss: -46.7983\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 276us/step - loss: 3.1050e-04 - risk_out_loss: 3.1050e-04 - val_loss: -46.7104 - val_risk_out_loss: -46.7104\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 310us/step - loss: 2.4785e-04 - risk_out_loss: 2.4785e-04 - val_loss: -46.6257 - val_risk_out_loss: -46.6257\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 276us/step - loss: 0.0040 - risk_out_loss: 0.0040 - val_loss: -46.7740 - val_risk_out_loss: -46.7740\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 264us/step - loss: 5.9284e-04 - risk_out_loss: 5.9284e-04 - val_loss: -46.9262 - val_risk_out_loss: -46.9262\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 356us/step - loss: 1.9716e-04 - risk_out_loss: 1.9716e-04 - val_loss: -47.0519 - val_risk_out_loss: -47.0519\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 299us/step - loss: 4.6894e-04 - risk_out_loss: 4.6894e-04 - val_loss: -47.1536 - val_risk_out_loss: -47.1536\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 379us/step - loss: 4.3109e-04 - risk_out_loss: 4.3109e-04 - val_loss: -47.2678 - val_risk_out_loss: -47.2678\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 299us/step - loss: 2.9614e-04 - risk_out_loss: 2.9614e-04 - val_loss: -47.3392 - val_risk_out_loss: -47.3392\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 379us/step - loss: 0.0294 - risk_out_loss: 0.0294 - val_loss: -48.1077 - val_risk_out_loss: -48.1077\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 322us/step - loss: 2.8100e-04 - risk_out_loss: 2.8100e-04 - val_loss: -48.7428 - val_risk_out_loss: -48.7428\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 333us/step - loss: 2.1717e-04 - risk_out_loss: 2.1717e-04 - val_loss: -49.2535 - val_risk_out_loss: -49.2535\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 287us/step - loss: 2.5904e-04 - risk_out_loss: 2.5904e-04 - val_loss: -49.6618 - val_risk_out_loss: -49.6618\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 299us/step - loss: 3.8129e-04 - risk_out_loss: 3.8129e-04 - val_loss: -50.0041 - val_risk_out_loss: -50.0041\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 333us/step - loss: 5.3230e-04 - risk_out_loss: 5.3230e-04 - val_loss: -50.2703 - val_risk_out_loss: -50.2703\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 310us/step - loss: 0.0076 - risk_out_loss: 0.0076 - val_loss: -50.3334 - val_risk_out_loss: -50.3334\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 264us/step - loss: 7.3589e-04 - risk_out_loss: 7.3589e-04 - val_loss: -50.3822 - val_risk_out_loss: -50.3822\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 333us/step - loss: 5.4856e-04 - risk_out_loss: 5.4856e-04 - val_loss: -50.4138 - val_risk_out_loss: -50.4138\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 322us/step - loss: 3.7093e-04 - risk_out_loss: 3.7093e-04 - val_loss: -50.4419 - val_risk_out_loss: -50.4419\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 264us/step - loss: 0.0039 - risk_out_loss: 0.0039 - val_loss: -50.5588 - val_risk_out_loss: -50.5588\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 356us/step - loss: 0.0011 - risk_out_loss: 0.0011 - val_loss: -50.6564 - val_risk_out_loss: -50.6564\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 253us/step - loss: 5.6281e-04 - risk_out_loss: 5.6281e-04 - val_loss: -50.7213 - val_risk_out_loss: -50.7213\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 322us/step - loss: 0.0021 - risk_out_loss: 0.0021 - val_loss: -50.7433 - val_risk_out_loss: -50.7433\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 299us/step - loss: 0.0198 - risk_out_loss: 0.0198 - val_loss: -50.4518 - val_risk_out_loss: -50.4518\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 322us/step - loss: 3.2006e-04 - risk_out_loss: 3.2006e-04 - val_loss: -50.1299 - val_risk_out_loss: -50.1299\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 322us/step - loss: 6.1985e-04 - risk_out_loss: 6.1985e-04 - val_loss: -49.8310 - val_risk_out_loss: -49.8310\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 299us/step - loss: 3.5379e-04 - risk_out_loss: 3.5379e-04 - val_loss: -49.5430 - val_risk_out_loss: -49.5430\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 368us/step - loss: 7.8341e-04 - risk_out_loss: 7.8341e-04 - val_loss: -49.2667 - val_risk_out_loss: -49.2667\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 368us/step - loss: 8.4572e-04 - risk_out_loss: 8.4572e-04 - val_loss: -48.9904 - val_risk_out_loss: -48.9904\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 299us/step - loss: 0.0055 - risk_out_loss: 0.0055 - val_loss: -48.6084 - val_risk_out_loss: -48.6084\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 310us/step - loss: 3.8838e-04 - risk_out_loss: 3.8838e-04 - val_loss: -48.2277 - val_risk_out_loss: -48.2277\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 299us/step - loss: 0.0021 - risk_out_loss: 0.0021 - val_loss: -47.7820 - val_risk_out_loss: -47.7820\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 241us/step - loss: 1.7955e-04 - risk_out_loss: 1.7955e-04 - val_loss: -47.3815 - val_risk_out_loss: -47.3815\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 287us/step - loss: 2.0181e-04 - risk_out_loss: 2.0181e-04 - val_loss: -46.9796 - val_risk_out_loss: -46.9796\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 299us/step - loss: 2.6344e-04 - risk_out_loss: 2.6344e-04 - val_loss: -46.6027 - val_risk_out_loss: -46.6027\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 345us/step - loss: 0.0315 - risk_out_loss: 0.0315 - val_loss: -47.4310 - val_risk_out_loss: -47.4310\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 413us/step - loss: 4.0570e-04 - risk_out_loss: 4.0570e-04 - val_loss: -48.1011 - val_risk_out_loss: -48.1011\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 333us/step - loss: 2.2452e-04 - risk_out_loss: 2.2452e-04 - val_loss: -48.6321 - val_risk_out_loss: -48.6321\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 299us/step - loss: 3.1734e-04 - risk_out_loss: 3.1734e-04 - val_loss: -49.0654 - val_risk_out_loss: -49.0654\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 310us/step - loss: 8.7094e-05 - risk_out_loss: 8.7094e-05 - val_loss: -49.3925 - val_risk_out_loss: -49.3925\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 287us/step - loss: 6.8301e-04 - risk_out_loss: 6.8301e-04 - val_loss: -49.6919 - val_risk_out_loss: -49.6919\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 287us/step - loss: 4.5445e-04 - risk_out_loss: 4.5445e-04 - val_loss: -49.9547 - val_risk_out_loss: -49.9547\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 299us/step - loss: 2.8393e-04 - risk_out_loss: 2.8393e-04 - val_loss: -50.1590 - val_risk_out_loss: -50.1590\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 345us/step - loss: 0.0184 - risk_out_loss: 0.0184 - val_loss: -50.5626 - val_risk_out_loss: -50.5626\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 310us/step - loss: 5.4186e-04 - risk_out_loss: 5.4186e-04 - val_loss: -50.8673 - val_risk_out_loss: -50.8673\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 287us/step - loss: 0.0095 - risk_out_loss: 0.0095 - val_loss: -50.7873 - val_risk_out_loss: -50.7873\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 299us/step - loss: 6.4169e-04 - risk_out_loss: 6.4169e-04 - val_loss: -50.7090 - val_risk_out_loss: -50.7090\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 299us/step - loss: 0.0017 - risk_out_loss: 0.0017 - val_loss: -50.5562 - val_risk_out_loss: -50.5562\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 299us/step - loss: 4.5908e-04 - risk_out_loss: 4.5908e-04 - val_loss: -50.3957 - val_risk_out_loss: -50.3957\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 276us/step - loss: 3.9073e-04 - risk_out_loss: 3.9073e-04 - val_loss: -50.2431 - val_risk_out_loss: -50.2431\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 299us/step - loss: 6.3533e-04 - risk_out_loss: 6.3533e-04 - val_loss: -50.0785 - val_risk_out_loss: -50.0785\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 356us/step - loss: 0.0013 - risk_out_loss: 0.0013 - val_loss: -49.8910 - val_risk_out_loss: -49.8910\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 345us/step - loss: 8.1564e-04 - risk_out_loss: 8.1564e-04 - val_loss: -49.6896 - val_risk_out_loss: -49.6896\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 299us/step - loss: 4.7783e-04 - risk_out_loss: 4.7783e-04 - val_loss: -49.4944 - val_risk_out_loss: -49.4944\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 299us/step - loss: 0.0015 - risk_out_loss: 0.0015 - val_loss: -49.2804 - val_risk_out_loss: -49.2804\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 310us/step - loss: 3.0357e-04 - risk_out_loss: 3.0357e-04 - val_loss: -49.0582 - val_risk_out_loss: -49.0582\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 333us/step - loss: 2.9034e-04 - risk_out_loss: 2.9034e-04 - val_loss: -48.8330 - val_risk_out_loss: -48.8330\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 322us/step - loss: 0.0052 - risk_out_loss: 0.0052 - val_loss: -48.3372 - val_risk_out_loss: -48.3372\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 368us/step - loss: 2.3473e-04 - risk_out_loss: 2.3473e-04 - val_loss: -47.8225 - val_risk_out_loss: -47.8225\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 310us/step - loss: 0.0371 - risk_out_loss: 0.0371 - val_loss: -46.2273 - val_risk_out_loss: -46.2273\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 276us/step - loss: 2.3111e-04 - risk_out_loss: 2.3111e-04 - val_loss: -44.4977 - val_risk_out_loss: -44.4977\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 264us/step - loss: 4.0187e-04 - risk_out_loss: 4.0187e-04 - val_loss: -42.6540 - val_risk_out_loss: -42.6540\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 287us/step - loss: 0.0266 - risk_out_loss: 0.0266 - val_loss: -43.7984 - val_risk_out_loss: -43.7984\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 368us/step - loss: 1.7818e-04 - risk_out_loss: 1.7818e-04 - val_loss: -44.6488 - val_risk_out_loss: -44.6488\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 264us/step - loss: 1.4533e-04 - risk_out_loss: 1.4533e-04 - val_loss: -45.2629 - val_risk_out_loss: -45.2629\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 287us/step - loss: 8.3411e-04 - risk_out_loss: 8.3411e-04 - val_loss: -45.6728 - val_risk_out_loss: -45.6728\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 287us/step - loss: 3.8402e-04 - risk_out_loss: 3.8402e-04 - val_loss: -46.0157 - val_risk_out_loss: -46.0157\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 310us/step - loss: 5.3525e-04 - risk_out_loss: 5.3525e-04 - val_loss: -46.2172 - val_risk_out_loss: -46.2172\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 299us/step - loss: 2.6588e-04 - risk_out_loss: 2.6588e-04 - val_loss: -46.3646 - val_risk_out_loss: -46.3646\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 276us/step - loss: 0.0042 - risk_out_loss: 0.0042 - val_loss: -46.6786 - val_risk_out_loss: -46.6786\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 310us/step - loss: 2.6917e-04 - risk_out_loss: 2.6917e-04 - val_loss: -46.9417 - val_risk_out_loss: -46.9417\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 264us/step - loss: 0.0019 - risk_out_loss: 0.0019 - val_loss: -47.3208 - val_risk_out_loss: -47.3208\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 276us/step - loss: 2.6952e-04 - risk_out_loss: 2.6952e-04 - val_loss: -47.6070 - val_risk_out_loss: -47.6070\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 299us/step - loss: 1.6917e-04 - risk_out_loss: 1.6917e-04 - val_loss: -47.8695 - val_risk_out_loss: -47.8695\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 333us/step - loss: 5.5288e-04 - risk_out_loss: 5.5288e-04 - val_loss: -48.0806 - val_risk_out_loss: -48.0806\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 299us/step - loss: 0.0011 - risk_out_loss: 0.0011 - val_loss: -48.1869 - val_risk_out_loss: -48.1869\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 264us/step - loss: 2.1376e-04 - risk_out_loss: 2.1376e-04 - val_loss: -48.2888 - val_risk_out_loss: -48.2888\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 241us/step - loss: 0.0035 - risk_out_loss: 0.0035 - val_loss: -48.2207 - val_risk_out_loss: -48.2207\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 322us/step - loss: 6.4161e-04 - risk_out_loss: 6.4161e-04 - val_loss: -48.1601 - val_risk_out_loss: -48.1601\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 333us/step - loss: 6.8201e-04 - risk_out_loss: 6.8201e-04 - val_loss: -48.0878 - val_risk_out_loss: -48.0878\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 356us/step - loss: 4.0738e-04 - risk_out_loss: 4.0738e-04 - val_loss: -48.0165 - val_risk_out_loss: -48.0165\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 333us/step - loss: 6.7755e-04 - risk_out_loss: 6.7755e-04 - val_loss: -47.9549 - val_risk_out_loss: -47.9549\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 333us/step - loss: 0.0011 - risk_out_loss: 0.0011 - val_loss: -47.8708 - val_risk_out_loss: -47.8708\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 333us/step - loss: 5.9639e-04 - risk_out_loss: 5.9639e-04 - val_loss: -47.7850 - val_risk_out_loss: -47.7850\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 287us/step - loss: 9.7562e-04 - risk_out_loss: 9.7562e-04 - val_loss: -47.6641 - val_risk_out_loss: -47.6641\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 333us/step - loss: 7.8391e-04 - risk_out_loss: 7.8391e-04 - val_loss: -47.5530 - val_risk_out_loss: -47.5530\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 299us/step - loss: 4.6810e-04 - risk_out_loss: 4.6810e-04 - val_loss: -47.4422 - val_risk_out_loss: -47.4422\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 253us/step - loss: 5.6186e-04 - risk_out_loss: 5.6186e-04 - val_loss: -47.3487 - val_risk_out_loss: -47.3487\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 276us/step - loss: 3.1532e-04 - risk_out_loss: 3.1532e-04 - val_loss: -47.2358 - val_risk_out_loss: -47.2358\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 345us/step - loss: 5.4235e-04 - risk_out_loss: 5.4235e-04 - val_loss: -47.1285 - val_risk_out_loss: -47.1285\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 299us/step - loss: 3.0887e-04 - risk_out_loss: 3.0887e-04 - val_loss: -47.0306 - val_risk_out_loss: -47.0306\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 322us/step - loss: 3.6106e-04 - risk_out_loss: 3.6106e-04 - val_loss: -46.9424 - val_risk_out_loss: -46.9424\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 356us/step - loss: 4.7008e-04 - risk_out_loss: 4.7008e-04 - val_loss: -46.8575 - val_risk_out_loss: -46.8575\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 276us/step - loss: 4.4275e-04 - risk_out_loss: 4.4275e-04 - val_loss: -46.7655 - val_risk_out_loss: -46.7655\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 299us/step - loss: 7.1136e-04 - risk_out_loss: 7.1136e-04 - val_loss: -46.6576 - val_risk_out_loss: -46.6576\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 276us/step - loss: 0.0040 - risk_out_loss: 0.0040 - val_loss: -46.9908 - val_risk_out_loss: -46.9908\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 368us/step - loss: 0.0021 - risk_out_loss: 0.0021 - val_loss: -47.1818 - val_risk_out_loss: -47.1818\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 333us/step - loss: 2.8400e-04 - risk_out_loss: 2.8400e-04 - val_loss: -47.3314 - val_risk_out_loss: -47.3314\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 310us/step - loss: 5.0459e-04 - risk_out_loss: 5.0459e-04 - val_loss: -47.4906 - val_risk_out_loss: -47.4906\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 287us/step - loss: 2.2085e-04 - risk_out_loss: 2.2085e-04 - val_loss: -47.6320 - val_risk_out_loss: -47.6320\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 345us/step - loss: 2.5887e-04 - risk_out_loss: 2.5887e-04 - val_loss: -47.7559 - val_risk_out_loss: -47.7559\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 322us/step - loss: 2.0762e-04 - risk_out_loss: 2.0762e-04 - val_loss: -47.8794 - val_risk_out_loss: -47.8794\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 310us/step - loss: 5.5164e-04 - risk_out_loss: 5.5164e-04 - val_loss: -47.9682 - val_risk_out_loss: -47.9682\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 253us/step - loss: 0.0074 - risk_out_loss: 0.0074 - val_loss: -47.7554 - val_risk_out_loss: -47.7554\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 322us/step - loss: 0.0012 - risk_out_loss: 0.0012 - val_loss: -47.5552 - val_risk_out_loss: -47.5552\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 299us/step - loss: 2.1534e-04 - risk_out_loss: 2.1534e-04 - val_loss: -47.3675 - val_risk_out_loss: -47.3675\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 264us/step - loss: 0.0020 - risk_out_loss: 0.0020 - val_loss: -47.3528 - val_risk_out_loss: -47.3528\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 299us/step - loss: 1.8778e-04 - risk_out_loss: 1.8778e-04 - val_loss: -47.3472 - val_risk_out_loss: -47.3472\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 264us/step - loss: 3.4064e-04 - risk_out_loss: 3.4064e-04 - val_loss: -47.3451 - val_risk_out_loss: -47.3451\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 322us/step - loss: 2.6231e-04 - risk_out_loss: 2.6231e-04 - val_loss: -47.3350 - val_risk_out_loss: -47.3350\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 609us/step - loss: 4.1651e-04 - risk_out_loss: 4.1651e-04 - val_loss: -47.3216 - val_risk_out_loss: -47.3216\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 368us/step - loss: 3.7447e-04 - risk_out_loss: 3.7447e-04 - val_loss: -47.3134 - val_risk_out_loss: -47.3134\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 402us/step - loss: 4.5612e-04 - risk_out_loss: 4.5612e-04 - val_loss: -47.3438 - val_risk_out_loss: -47.3438\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 322us/step - loss: 0.0221 - risk_out_loss: 0.0221 - val_loss: -48.5135 - val_risk_out_loss: -48.5135\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 287us/step - loss: 0.0012 - risk_out_loss: 0.0012 - val_loss: -49.4298 - val_risk_out_loss: -49.4298\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 356us/step - loss: 0.0181 - risk_out_loss: 0.0181 - val_loss: -50.5092 - val_risk_out_loss: -50.5092\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 287us/step - loss: 3.4992e-04 - risk_out_loss: 3.4992e-04 - val_loss: -51.2052 - val_risk_out_loss: -51.2052\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 310us/step - loss: 0.0377 - risk_out_loss: 0.0377 - val_loss: -51.4840 - val_risk_out_loss: -51.4840\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 276us/step - loss: 6.6748e-04 - risk_out_loss: 6.6748e-04 - val_loss: -51.6516 - val_risk_out_loss: -51.6516\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 287us/step - loss: 2.5589e-04 - risk_out_loss: 2.5589e-04 - val_loss: -51.7910 - val_risk_out_loss: -51.7910\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 299us/step - loss: 7.1765e-04 - risk_out_loss: 7.1765e-04 - val_loss: -51.8863 - val_risk_out_loss: -51.8863\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 287us/step - loss: 8.7442e-04 - risk_out_loss: 8.7442e-04 - val_loss: -51.9698 - val_risk_out_loss: -51.9698\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 299us/step - loss: 7.0158e-04 - risk_out_loss: 7.0158e-04 - val_loss: -52.0270 - val_risk_out_loss: -52.0270\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 322us/step - loss: 3.8369e-04 - risk_out_loss: 3.8369e-04 - val_loss: -52.0736 - val_risk_out_loss: -52.0736\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 276us/step - loss: 0.0035 - risk_out_loss: 0.0035 - val_loss: -52.0887 - val_risk_out_loss: -52.0887\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 276us/step - loss: 0.0036 - risk_out_loss: 0.0036 - val_loss: -52.0563 - val_risk_out_loss: -52.0563\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 333us/step - loss: 2.7447e-04 - risk_out_loss: 2.7447e-04 - val_loss: -52.0410 - val_risk_out_loss: -52.0410\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 322us/step - loss: 7.4807e-04 - risk_out_loss: 7.4807e-04 - val_loss: -52.0195 - val_risk_out_loss: -52.0195\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 299us/step - loss: 0.0057 - risk_out_loss: 0.0057 - val_loss: -51.9447 - val_risk_out_loss: -51.9447\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 299us/step - loss: 2.4024e-04 - risk_out_loss: 2.4024e-04 - val_loss: -51.8726 - val_risk_out_loss: -51.8726\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 333us/step - loss: 0.0023 - risk_out_loss: 0.0023 - val_loss: -51.7811 - val_risk_out_loss: -51.7811\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 310us/step - loss: 7.3229e-04 - risk_out_loss: 7.3229e-04 - val_loss: -51.6973 - val_risk_out_loss: -51.6973\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 356us/step - loss: 2.4484e-04 - risk_out_loss: 2.4484e-04 - val_loss: -51.6031 - val_risk_out_loss: -51.6031\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 368us/step - loss: 1.3353e-04 - risk_out_loss: 1.3353e-04 - val_loss: -51.5262 - val_risk_out_loss: -51.5262\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 333us/step - loss: 0.0033 - risk_out_loss: 0.0033 - val_loss: -51.3891 - val_risk_out_loss: -51.3891\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 299us/step - loss: 4.5701e-04 - risk_out_loss: 4.5701e-04 - val_loss: -51.2674 - val_risk_out_loss: -51.2674\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 391us/step - loss: 2.8978e-04 - risk_out_loss: 2.8978e-04 - val_loss: -51.1565 - val_risk_out_loss: -51.1565\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 322us/step - loss: 5.2468e-04 - risk_out_loss: 5.2468e-04 - val_loss: -51.0202 - val_risk_out_loss: -51.0202\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 345us/step - loss: 0.0065 - risk_out_loss: 0.0065 - val_loss: -50.7046 - val_risk_out_loss: -50.7046\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 322us/step - loss: 0.0013 - risk_out_loss: 0.0013 - val_loss: -50.3384 - val_risk_out_loss: -50.3384\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 345us/step - loss: 1.2692e-04 - risk_out_loss: 1.2692e-04 - val_loss: -49.9774 - val_risk_out_loss: -49.9774\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 287us/step - loss: 0.0013 - risk_out_loss: 0.0013 - val_loss: -49.6739 - val_risk_out_loss: -49.6739\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 264us/step - loss: 1.4856e-04 - risk_out_loss: 1.4856e-04 - val_loss: -49.3795 - val_risk_out_loss: -49.3795\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 253us/step - loss: 2.5801e-04 - risk_out_loss: 2.5801e-04 - val_loss: -49.0739 - val_risk_out_loss: -49.0739\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 333us/step - loss: 0.0010 - risk_out_loss: 0.0010 - val_loss: -48.7332 - val_risk_out_loss: -48.7332\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 333us/step - loss: 2.2953e-04 - risk_out_loss: 2.2953e-04 - val_loss: -48.4041 - val_risk_out_loss: -48.4041\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 333us/step - loss: 6.0251e-05 - risk_out_loss: 6.0251e-05 - val_loss: -48.0805 - val_risk_out_loss: -48.0805\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 299us/step - loss: 1.1275e-04 - risk_out_loss: 1.1275e-04 - val_loss: -47.7883 - val_risk_out_loss: -47.7883\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 299us/step - loss: 5.4969e-04 - risk_out_loss: 5.4969e-04 - val_loss: -47.6140 - val_risk_out_loss: -47.6140\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 287us/step - loss: 1.3496e-04 - risk_out_loss: 1.3496e-04 - val_loss: -47.4253 - val_risk_out_loss: -47.4253\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 276us/step - loss: 9.2100e-05 - risk_out_loss: 9.2100e-05 - val_loss: -47.2465 - val_risk_out_loss: -47.2465\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 322us/step - loss: 1.2808e-04 - risk_out_loss: 1.2808e-04 - val_loss: -47.0760 - val_risk_out_loss: -47.0760\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 310us/step - loss: 4.9423e-05 - risk_out_loss: 4.9423e-05 - val_loss: -46.9306 - val_risk_out_loss: -46.9306\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 276us/step - loss: 5.3172e-05 - risk_out_loss: 5.3172e-05 - val_loss: -46.8002 - val_risk_out_loss: -46.8002\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 287us/step - loss: 0.0031 - risk_out_loss: 0.0031 - val_loss: -47.0007 - val_risk_out_loss: -47.0007\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 322us/step - loss: 0.0402 - risk_out_loss: 0.0402 - val_loss: -49.1339 - val_risk_out_loss: -49.1339\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 264us/step - loss: 1.3883e-04 - risk_out_loss: 1.3883e-04 - val_loss: -50.2934 - val_risk_out_loss: -50.2934\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 310us/step - loss: 4.1636e-04 - risk_out_loss: 4.1636e-04 - val_loss: -51.0447 - val_risk_out_loss: -51.0447\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 310us/step - loss: 2.6571e-04 - risk_out_loss: 2.6571e-04 - val_loss: -51.5331 - val_risk_out_loss: -51.5331\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 287us/step - loss: 0.0035 - risk_out_loss: 0.0035 - val_loss: -51.7899 - val_risk_out_loss: -51.7899\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 333us/step - loss: 0.0011 - risk_out_loss: 0.0011 - val_loss: -51.9777 - val_risk_out_loss: -51.9777\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 391us/step - loss: 7.7881e-04 - risk_out_loss: 7.7881e-04 - val_loss: -52.1378 - val_risk_out_loss: -52.1378\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 459us/step - loss: 2.7295e-04 - risk_out_loss: 2.7295e-04 - val_loss: -52.2539 - val_risk_out_loss: -52.2539\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 402us/step - loss: 0.0238 - risk_out_loss: 0.0238 - val_loss: -52.2171 - val_risk_out_loss: -52.2171\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 413us/step - loss: 0.0148 - risk_out_loss: 0.0148 - val_loss: -52.0522 - val_risk_out_loss: -52.0522\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 345us/step - loss: 0.0354 - risk_out_loss: 0.0354 - val_loss: -51.6518 - val_risk_out_loss: -51.6518\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 379us/step - loss: 4.6520e-04 - risk_out_loss: 4.6520e-04 - val_loss: -51.1715 - val_risk_out_loss: -51.1715\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 322us/step - loss: 9.7221e-05 - risk_out_loss: 9.7221e-05 - val_loss: -50.6139 - val_risk_out_loss: -50.6139\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 436us/step - loss: 9.3238e-05 - risk_out_loss: 9.3238e-05 - val_loss: -49.9790 - val_risk_out_loss: -49.9790\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 379us/step - loss: 9.5772e-05 - risk_out_loss: 9.5772e-05 - val_loss: -49.2225 - val_risk_out_loss: -49.2225\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 448us/step - loss: 1.6255e-04 - risk_out_loss: 1.6255e-04 - val_loss: -48.3651 - val_risk_out_loss: -48.3651\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 356us/step - loss: 0.0075 - risk_out_loss: 0.0075 - val_loss: -47.0295 - val_risk_out_loss: -47.0295\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 356us/step - loss: 3.1960e-05 - risk_out_loss: 3.1960e-05 - val_loss: -45.6042 - val_risk_out_loss: -45.6042\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 402us/step - loss: 0.0180 - risk_out_loss: 0.0180 - val_loss: -46.8125 - val_risk_out_loss: -46.8125\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 333us/step - loss: 3.6294e-05 - risk_out_loss: 3.6294e-05 - val_loss: -47.7208 - val_risk_out_loss: -47.7208\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 322us/step - loss: 2.0616e-04 - risk_out_loss: 2.0616e-04 - val_loss: -48.4042 - val_risk_out_loss: -48.4042\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 333us/step - loss: 1.5703e-04 - risk_out_loss: 1.5703e-04 - val_loss: -48.9175 - val_risk_out_loss: -48.9175\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 425us/step - loss: 1.1332e-04 - risk_out_loss: 1.1332e-04 - val_loss: -49.2991 - val_risk_out_loss: -49.2991\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 310us/step - loss: 0.0297 - risk_out_loss: 0.0297 - val_loss: -49.5571 - val_risk_out_loss: -49.5571\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 368us/step - loss: 3.1258e-04 - risk_out_loss: 3.1258e-04 - val_loss: -49.7708 - val_risk_out_loss: -49.7708\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 356us/step - loss: 2.6090e-04 - risk_out_loss: 2.6090e-04 - val_loss: -49.9378 - val_risk_out_loss: -49.9378\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 368us/step - loss: 1.6095e-04 - risk_out_loss: 1.6095e-04 - val_loss: -50.0568 - val_risk_out_loss: -50.0568\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 299us/step - loss: 2.0174e-04 - risk_out_loss: 2.0174e-04 - val_loss: -50.1491 - val_risk_out_loss: -50.1491\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 356us/step - loss: 1.5512e-04 - risk_out_loss: 1.5512e-04 - val_loss: -50.2185 - val_risk_out_loss: -50.2185\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 322us/step - loss: 0.0029 - risk_out_loss: 0.0029 - val_loss: -50.3703 - val_risk_out_loss: -50.3703\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 276us/step - loss: 1.5858e-04 - risk_out_loss: 1.5858e-04 - val_loss: -50.4870 - val_risk_out_loss: -50.4870\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 276us/step - loss: 2.8733e-04 - risk_out_loss: 2.8733e-04 - val_loss: -50.5774 - val_risk_out_loss: -50.5774\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 322us/step - loss: 0.0023 - risk_out_loss: 0.0023 - val_loss: -50.6262 - val_risk_out_loss: -50.6262\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 333us/step - loss: 9.6167e-04 - risk_out_loss: 9.6167e-04 - val_loss: -50.6977 - val_risk_out_loss: -50.6977\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 287us/step - loss: 0.0024 - risk_out_loss: 0.0024 - val_loss: -50.7120 - val_risk_out_loss: -50.7120\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 276us/step - loss: 2.1001e-04 - risk_out_loss: 2.1001e-04 - val_loss: -50.7371 - val_risk_out_loss: -50.7371\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 287us/step - loss: 4.6377e-04 - risk_out_loss: 4.6377e-04 - val_loss: -50.7521 - val_risk_out_loss: -50.7521\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 299us/step - loss: 5.1284e-04 - risk_out_loss: 5.1284e-04 - val_loss: -50.7727 - val_risk_out_loss: -50.7727\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 356us/step - loss: 4.3875e-04 - risk_out_loss: 4.3875e-04 - val_loss: -50.7821 - val_risk_out_loss: -50.7821\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 299us/step - loss: 5.7885e-04 - risk_out_loss: 5.7885e-04 - val_loss: -50.7885 - val_risk_out_loss: -50.7885\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 299us/step - loss: 0.0053 - risk_out_loss: 0.0053 - val_loss: -50.7258 - val_risk_out_loss: -50.7258\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 322us/step - loss: 1.9612e-04 - risk_out_loss: 1.9612e-04 - val_loss: -50.6807 - val_risk_out_loss: -50.6807\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 299us/step - loss: 3.8440e-04 - risk_out_loss: 3.8440e-04 - val_loss: -50.6189 - val_risk_out_loss: -50.6189\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 299us/step - loss: 0.0023 - risk_out_loss: 0.0023 - val_loss: -50.4824 - val_risk_out_loss: -50.4824\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 276us/step - loss: 0.0323 - risk_out_loss: 0.0323 - val_loss: -49.9896 - val_risk_out_loss: -49.9896\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 287us/step - loss: 2.3837e-04 - risk_out_loss: 2.3837e-04 - val_loss: -49.4644 - val_risk_out_loss: -49.4644\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 345us/step - loss: 1.0561e-04 - risk_out_loss: 1.0561e-04 - val_loss: -48.9259 - val_risk_out_loss: -48.9259\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 276us/step - loss: 0.0207 - risk_out_loss: 0.0207 - val_loss: -47.9491 - val_risk_out_loss: -47.9491\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 264us/step - loss: 6.3815e-05 - risk_out_loss: 6.3815e-05 - val_loss: -46.8212 - val_risk_out_loss: -46.8212\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 299us/step - loss: 1.1484e-04 - risk_out_loss: 1.1484e-04 - val_loss: -45.6073 - val_risk_out_loss: -45.6073\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 322us/step - loss: 0.0268 - risk_out_loss: 0.0268 - val_loss: -45.2453 - val_risk_out_loss: -45.2453\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 276us/step - loss: 7.0638e-05 - risk_out_loss: 7.0638e-05 - val_loss: -44.8138 - val_risk_out_loss: -44.8138\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 253us/step - loss: 0.0030 - risk_out_loss: 0.0030 - val_loss: -44.8806 - val_risk_out_loss: -44.8806\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 264us/step - loss: 0.0535 - risk_out_loss: 0.0535 - val_loss: -46.8166 - val_risk_out_loss: -46.8166\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 264us/step - loss: 2.5180e-04 - risk_out_loss: 2.5180e-04 - val_loss: -48.0450 - val_risk_out_loss: -48.0450\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 299us/step - loss: 9.1983e-04 - risk_out_loss: 9.1983e-04 - val_loss: -48.9261 - val_risk_out_loss: -48.9261\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 368us/step - loss: 2.2537e-04 - risk_out_loss: 2.2537e-04 - val_loss: -49.4987 - val_risk_out_loss: -49.4987\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 299us/step - loss: 0.0066 - risk_out_loss: 0.0066 - val_loss: -49.9536 - val_risk_out_loss: -49.9536\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 345us/step - loss: 9.9685e-05 - risk_out_loss: 9.9685e-05 - val_loss: -50.2732 - val_risk_out_loss: -50.2732\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 517us/step - loss: 1.5944e-04 - risk_out_loss: 1.5944e-04 - val_loss: -50.5168 - val_risk_out_loss: -50.5168\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 402us/step - loss: 6.8226e-04 - risk_out_loss: 6.8226e-04 - val_loss: -50.6945 - val_risk_out_loss: -50.6945\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 379us/step - loss: 0.0019 - risk_out_loss: 0.0019 - val_loss: -50.8151 - val_risk_out_loss: -50.8151\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 448us/step - loss: 1.2498e-04 - risk_out_loss: 1.2498e-04 - val_loss: -50.9071 - val_risk_out_loss: -50.9071\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 356us/step - loss: 0.0258 - risk_out_loss: 0.0258 - val_loss: -50.6443 - val_risk_out_loss: -50.6443\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 505us/step - loss: 0.0021 - risk_out_loss: 0.0021 - val_loss: -50.3629 - val_risk_out_loss: -50.3629\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 391us/step - loss: 0.0040 - risk_out_loss: 0.0040 - val_loss: -50.0041 - val_risk_out_loss: -50.0041\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 345us/step - loss: 3.9300e-04 - risk_out_loss: 3.9300e-04 - val_loss: -49.6670 - val_risk_out_loss: -49.6670\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 440us/step - loss: 0.0346 - risk_out_loss: 0.0346 - val_loss: -49.3186 - val_risk_out_loss: -49.3186\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 425us/step - loss: 1.6305e-04 - risk_out_loss: 1.6305e-04 - val_loss: -48.9872 - val_risk_out_loss: -48.9872\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 391us/step - loss: 1.5945e-04 - risk_out_loss: 1.5945e-04 - val_loss: -48.6417 - val_risk_out_loss: -48.6417\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 402us/step - loss: 3.0694e-04 - risk_out_loss: 3.0694e-04 - val_loss: -48.2926 - val_risk_out_loss: -48.2926\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 563us/step - loss: 0.0084 - risk_out_loss: 0.0084 - val_loss: -48.5786 - val_risk_out_loss: -48.5786\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 345us/step - loss: 1.3847e-04 - risk_out_loss: 1.3847e-04 - val_loss: -48.7875 - val_risk_out_loss: -48.7875\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 310us/step - loss: 1.6682e-04 - risk_out_loss: 1.6682e-04 - val_loss: -48.9611 - val_risk_out_loss: -48.9611\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 391us/step - loss: 7.7883e-04 - risk_out_loss: 7.7883e-04 - val_loss: -49.1049 - val_risk_out_loss: -49.1049\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 356us/step - loss: 2.5415e-04 - risk_out_loss: 2.5415e-04 - val_loss: -49.1982 - val_risk_out_loss: -49.1982\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 402us/step - loss: 1.4543e-04 - risk_out_loss: 1.4543e-04 - val_loss: -49.2778 - val_risk_out_loss: -49.2778\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 379us/step - loss: 2.4250e-04 - risk_out_loss: 2.4250e-04 - val_loss: -49.3512 - val_risk_out_loss: -49.3512\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 402us/step - loss: 5.0139e-04 - risk_out_loss: 5.0139e-04 - val_loss: -49.4118 - val_risk_out_loss: -49.4118\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 322us/step - loss: 2.8354e-04 - risk_out_loss: 2.8354e-04 - val_loss: -49.4700 - val_risk_out_loss: -49.4700\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 448us/step - loss: 5.5847e-04 - risk_out_loss: 5.5847e-04 - val_loss: -49.4738 - val_risk_out_loss: -49.4738\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 333us/step - loss: 1.5177e-04 - risk_out_loss: 1.5177e-04 - val_loss: -49.4740 - val_risk_out_loss: -49.4740\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 333us/step - loss: 1.2012e-04 - risk_out_loss: 1.2012e-04 - val_loss: -49.4755 - val_risk_out_loss: -49.4755\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 264us/step - loss: 6.6213e-04 - risk_out_loss: 6.6213e-04 - val_loss: -49.4493 - val_risk_out_loss: -49.4493\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 276us/step - loss: 2.5971e-04 - risk_out_loss: 2.5971e-04 - val_loss: -49.4199 - val_risk_out_loss: -49.4199\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 287us/step - loss: 6.0650e-05 - risk_out_loss: 6.0650e-05 - val_loss: -49.4039 - val_risk_out_loss: -49.4039\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 310us/step - loss: 3.6943e-04 - risk_out_loss: 3.6943e-04 - val_loss: -49.3669 - val_risk_out_loss: -49.3669\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 345us/step - loss: 2.0512e-04 - risk_out_loss: 2.0512e-04 - val_loss: -49.3470 - val_risk_out_loss: -49.3470\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 356us/step - loss: 5.4874e-05 - risk_out_loss: 5.4874e-05 - val_loss: -49.3135 - val_risk_out_loss: -49.3135\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 345us/step - loss: 6.0262e-04 - risk_out_loss: 6.0262e-04 - val_loss: -49.3084 - val_risk_out_loss: -49.3084\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 287us/step - loss: 5.4190e-05 - risk_out_loss: 5.4190e-05 - val_loss: -49.3064 - val_risk_out_loss: -49.3064\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 379us/step - loss: 8.9151e-05 - risk_out_loss: 8.9151e-05 - val_loss: -49.3047 - val_risk_out_loss: -49.3047\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 299us/step - loss: 0.0344 - risk_out_loss: 0.0344 - val_loss: -49.8790 - val_risk_out_loss: -49.8790\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 391us/step - loss: 0.0016 - risk_out_loss: 0.0016 - val_loss: -50.2629 - val_risk_out_loss: -50.2629\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 413us/step - loss: 0.0017 - risk_out_loss: 0.0017 - val_loss: -50.6152 - val_risk_out_loss: -50.6152\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 413us/step - loss: 1.4384e-04 - risk_out_loss: 1.4384e-04 - val_loss: -50.8846 - val_risk_out_loss: -50.8846\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 310us/step - loss: 3.7289e-04 - risk_out_loss: 3.7289e-04 - val_loss: -51.0993 - val_risk_out_loss: -51.0993\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 287us/step - loss: 2.2918e-04 - risk_out_loss: 2.2918e-04 - val_loss: -51.2876 - val_risk_out_loss: -51.2876\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 322us/step - loss: 0.0180 - risk_out_loss: 0.0180 - val_loss: -51.3264 - val_risk_out_loss: -51.3264\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 333us/step - loss: 8.3205e-04 - risk_out_loss: 8.3205e-04 - val_loss: -51.3893 - val_risk_out_loss: -51.3893\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 322us/step - loss: 1.7834e-04 - risk_out_loss: 1.7834e-04 - val_loss: -51.4309 - val_risk_out_loss: -51.4309\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 287us/step - loss: 2.0065e-04 - risk_out_loss: 2.0065e-04 - val_loss: -51.4595 - val_risk_out_loss: -51.4595\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 276us/step - loss: 0.0089 - risk_out_loss: 0.0089 - val_loss: -51.3743 - val_risk_out_loss: -51.3743\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 310us/step - loss: 4.6164e-04 - risk_out_loss: 4.6164e-04 - val_loss: -51.2606 - val_risk_out_loss: -51.2606\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 333us/step - loss: 4.0638e-04 - risk_out_loss: 4.0638e-04 - val_loss: -51.1520 - val_risk_out_loss: -51.1520\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 299us/step - loss: 2.7511e-04 - risk_out_loss: 2.7511e-04 - val_loss: -51.0475 - val_risk_out_loss: -51.0475\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 310us/step - loss: 3.8859e-04 - risk_out_loss: 3.8859e-04 - val_loss: -50.9405 - val_risk_out_loss: -50.9405\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 322us/step - loss: 1.9886e-04 - risk_out_loss: 1.9886e-04 - val_loss: -50.8514 - val_risk_out_loss: -50.8514\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 310us/step - loss: 6.1823e-04 - risk_out_loss: 6.1823e-04 - val_loss: -50.7413 - val_risk_out_loss: -50.7413\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 299us/step - loss: 2.2912e-04 - risk_out_loss: 2.2912e-04 - val_loss: -50.6222 - val_risk_out_loss: -50.6222\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 310us/step - loss: 2.4749e-04 - risk_out_loss: 2.4749e-04 - val_loss: -50.5237 - val_risk_out_loss: -50.5237\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 299us/step - loss: 1.2651e-04 - risk_out_loss: 1.2651e-04 - val_loss: -50.4250 - val_risk_out_loss: -50.4250\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 322us/step - loss: 0.0365 - risk_out_loss: 0.0365 - val_loss: -49.7772 - val_risk_out_loss: -49.7772\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 287us/step - loss: 3.8180e-04 - risk_out_loss: 3.8180e-04 - val_loss: -49.1074 - val_risk_out_loss: -49.1074\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 356us/step - loss: 1.0219e-04 - risk_out_loss: 1.0219e-04 - val_loss: -48.3970 - val_risk_out_loss: -48.3970\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 356us/step - loss: 1.0573e-04 - risk_out_loss: 1.0573e-04 - val_loss: -47.6884 - val_risk_out_loss: -47.6884\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 287us/step - loss: 2.8945e-05 - risk_out_loss: 2.8945e-05 - val_loss: -46.9688 - val_risk_out_loss: -46.9688\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 299us/step - loss: 5.2532e-05 - risk_out_loss: 5.2532e-05 - val_loss: -46.2518 - val_risk_out_loss: -46.2518\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 322us/step - loss: 4.2208e-05 - risk_out_loss: 4.2208e-05 - val_loss: -45.5607 - val_risk_out_loss: -45.5607\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 310us/step - loss: 7.3682e-04 - risk_out_loss: 7.3682e-04 - val_loss: -45.0362 - val_risk_out_loss: -45.0362\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 310us/step - loss: 3.6275e-05 - risk_out_loss: 3.6275e-05 - val_loss: -44.5475 - val_risk_out_loss: -44.5475\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 322us/step - loss: 2.3379e-04 - risk_out_loss: 2.3379e-04 - val_loss: -44.0923 - val_risk_out_loss: -44.0923\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 322us/step - loss: 0.0045 - risk_out_loss: 0.0045 - val_loss: -44.1436 - val_risk_out_loss: -44.1436\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 310us/step - loss: 0.0666 - risk_out_loss: 0.0666 - val_loss: -45.3316 - val_risk_out_loss: -45.3316\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 333us/step - loss: 0.0019 - risk_out_loss: 0.0019 - val_loss: -46.4414 - val_risk_out_loss: -46.4414\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 299us/step - loss: 7.0678e-05 - risk_out_loss: 7.0678e-05 - val_loss: -47.3054 - val_risk_out_loss: -47.3054\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 345us/step - loss: 6.9253e-04 - risk_out_loss: 6.9253e-04 - val_loss: -48.0242 - val_risk_out_loss: -48.0242\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 276us/step - loss: 1.4405e-04 - risk_out_loss: 1.4405e-04 - val_loss: -48.6000 - val_risk_out_loss: -48.6000\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 299us/step - loss: 1.4587e-04 - risk_out_loss: 1.4587e-04 - val_loss: -49.0827 - val_risk_out_loss: -49.0827\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 310us/step - loss: 2.2915e-04 - risk_out_loss: 2.2915e-04 - val_loss: -49.4427 - val_risk_out_loss: -49.4427\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 276us/step - loss: 1.4261e-04 - risk_out_loss: 1.4261e-04 - val_loss: -49.7374 - val_risk_out_loss: -49.7374\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 368us/step - loss: 3.2291e-04 - risk_out_loss: 3.2291e-04 - val_loss: -49.9889 - val_risk_out_loss: -49.9889\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 345us/step - loss: 1.6726e-04 - risk_out_loss: 1.6726e-04 - val_loss: -50.1867 - val_risk_out_loss: -50.1867\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 287us/step - loss: 2.3232e-04 - risk_out_loss: 2.3232e-04 - val_loss: -50.3584 - val_risk_out_loss: -50.3584\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 322us/step - loss: 0.0079 - risk_out_loss: 0.0079 - val_loss: -50.7576 - val_risk_out_loss: -50.7576\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 287us/step - loss: 0.0011 - risk_out_loss: 0.0011 - val_loss: -51.0723 - val_risk_out_loss: -51.0723\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 287us/step - loss: 9.9188e-05 - risk_out_loss: 9.9188e-05 - val_loss: -51.3374 - val_risk_out_loss: -51.3374\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 345us/step - loss: 2.1212e-04 - risk_out_loss: 2.1212e-04 - val_loss: -51.5366 - val_risk_out_loss: -51.5366\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 333us/step - loss: 1.7115e-04 - risk_out_loss: 1.7115e-04 - val_loss: -51.7086 - val_risk_out_loss: -51.7086\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 322us/step - loss: 0.0031 - risk_out_loss: 0.0031 - val_loss: -51.8138 - val_risk_out_loss: -51.8138\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 299us/step - loss: 8.3003e-04 - risk_out_loss: 8.3003e-04 - val_loss: -51.8951 - val_risk_out_loss: -51.8951\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 322us/step - loss: 1.7122e-04 - risk_out_loss: 1.7122e-04 - val_loss: -51.9584 - val_risk_out_loss: -51.9584\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 345us/step - loss: 4.2349e-04 - risk_out_loss: 4.2349e-04 - val_loss: -52.0142 - val_risk_out_loss: -52.0142\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 299us/step - loss: 2.6394e-04 - risk_out_loss: 2.6394e-04 - val_loss: -52.0688 - val_risk_out_loss: -52.0688\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 299us/step - loss: 0.0019 - risk_out_loss: 0.0019 - val_loss: -52.1079 - val_risk_out_loss: -52.1079\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 299us/step - loss: 0.0030 - risk_out_loss: 0.0030 - val_loss: -52.1203 - val_risk_out_loss: -52.1203\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 391us/step - loss: 0.0016 - risk_out_loss: 0.0016 - val_loss: -52.1231 - val_risk_out_loss: -52.1231\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 253us/step - loss: 1.9801e-04 - risk_out_loss: 1.9801e-04 - val_loss: -52.1217 - val_risk_out_loss: -52.1217\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 253us/step - loss: 4.4871e-04 - risk_out_loss: 4.4871e-04 - val_loss: -52.1205 - val_risk_out_loss: -52.1205\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 333us/step - loss: 0.0116 - risk_out_loss: 0.0116 - val_loss: -51.9873 - val_risk_out_loss: -51.9873\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 287us/step - loss: 3.0145e-04 - risk_out_loss: 3.0145e-04 - val_loss: -51.8423 - val_risk_out_loss: -51.8423\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 356us/step - loss: 5.6362e-04 - risk_out_loss: 5.6362e-04 - val_loss: -51.6982 - val_risk_out_loss: -51.6982\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 310us/step - loss: 9.0949e-04 - risk_out_loss: 9.0949e-04 - val_loss: -51.5350 - val_risk_out_loss: -51.5350\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 287us/step - loss: 1.3780e-04 - risk_out_loss: 1.3780e-04 - val_loss: -51.3603 - val_risk_out_loss: -51.3603\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 287us/step - loss: 1.4232e-04 - risk_out_loss: 1.4232e-04 - val_loss: -51.2108 - val_risk_out_loss: -51.2108\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 276us/step - loss: 1.2894e-04 - risk_out_loss: 1.2894e-04 - val_loss: -51.0415 - val_risk_out_loss: -51.0415\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 287us/step - loss: 9.9626e-05 - risk_out_loss: 9.9626e-05 - val_loss: -50.9101 - val_risk_out_loss: -50.9101\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 276us/step - loss: 1.2685e-04 - risk_out_loss: 1.2685e-04 - val_loss: -50.7575 - val_risk_out_loss: -50.7575\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 310us/step - loss: 0.0068 - risk_out_loss: 0.0068 - val_loss: -50.4736 - val_risk_out_loss: -50.4736\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 333us/step - loss: 5.6380e-05 - risk_out_loss: 5.6380e-05 - val_loss: -50.1929 - val_risk_out_loss: -50.1929\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 310us/step - loss: 2.3235e-04 - risk_out_loss: 2.3235e-04 - val_loss: -49.9127 - val_risk_out_loss: -49.9127\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 368us/step - loss: 7.7289e-05 - risk_out_loss: 7.7289e-05 - val_loss: -49.6450 - val_risk_out_loss: -49.6450\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 333us/step - loss: 1.2121e-04 - risk_out_loss: 1.2121e-04 - val_loss: -49.3960 - val_risk_out_loss: -49.3960\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 299us/step - loss: 0.0016 - risk_out_loss: 0.0016 - val_loss: -49.2021 - val_risk_out_loss: -49.2021\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 264us/step - loss: 1.1153e-04 - risk_out_loss: 1.1153e-04 - val_loss: -49.0310 - val_risk_out_loss: -49.0310\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 299us/step - loss: 0.0013 - risk_out_loss: 0.0013 - val_loss: -48.8142 - val_risk_out_loss: -48.8142\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 299us/step - loss: 6.5766e-05 - risk_out_loss: 6.5766e-05 - val_loss: -48.6173 - val_risk_out_loss: -48.6173\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 322us/step - loss: 6.0530e-04 - risk_out_loss: 6.0530e-04 - val_loss: -48.4786 - val_risk_out_loss: -48.4786\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 333us/step - loss: 0.0959 - risk_out_loss: 0.0959 - val_loss: -48.9612 - val_risk_out_loss: -48.9612\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 310us/step - loss: 3.0453e-04 - risk_out_loss: 3.0453e-04 - val_loss: -49.3161 - val_risk_out_loss: -49.3161\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 322us/step - loss: 1.8949e-04 - risk_out_loss: 1.8949e-04 - val_loss: -49.6046 - val_risk_out_loss: -49.6046\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 287us/step - loss: 2.6907e-04 - risk_out_loss: 2.6907e-04 - val_loss: -49.8403 - val_risk_out_loss: -49.8403\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 287us/step - loss: 7.9297e-05 - risk_out_loss: 7.9297e-05 - val_loss: -50.0714 - val_risk_out_loss: -50.0714\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 276us/step - loss: 0.0066 - risk_out_loss: 0.0066 - val_loss: -50.4501 - val_risk_out_loss: -50.4501\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 287us/step - loss: 0.0150 - risk_out_loss: 0.0150 - val_loss: -51.0517 - val_risk_out_loss: -51.0517\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 253us/step - loss: 2.1132e-04 - risk_out_loss: 2.1132e-04 - val_loss: -51.4852 - val_risk_out_loss: -51.4852\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 322us/step - loss: 1.1496e-04 - risk_out_loss: 1.1496e-04 - val_loss: -51.8035 - val_risk_out_loss: -51.8035\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 345us/step - loss: 0.0276 - risk_out_loss: 0.0276 - val_loss: -51.9176 - val_risk_out_loss: -51.9176\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 310us/step - loss: 3.9791e-04 - risk_out_loss: 3.9791e-04 - val_loss: -52.0105 - val_risk_out_loss: -52.0105\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 299us/step - loss: 0.0153 - risk_out_loss: 0.0153 - val_loss: -51.9592 - val_risk_out_loss: -51.9592\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 356us/step - loss: 2.6704e-04 - risk_out_loss: 2.6704e-04 - val_loss: -51.9110 - val_risk_out_loss: -51.9110\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 310us/step - loss: 1.4221e-04 - risk_out_loss: 1.4221e-04 - val_loss: -51.8534 - val_risk_out_loss: -51.8534\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 287us/step - loss: 0.0640 - risk_out_loss: 0.0640 - val_loss: -51.4545 - val_risk_out_loss: -51.4545\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 276us/step - loss: 2.2649e-04 - risk_out_loss: 2.2649e-04 - val_loss: -50.9991 - val_risk_out_loss: -50.9991\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 322us/step - loss: 6.1413e-05 - risk_out_loss: 6.1413e-05 - val_loss: -50.4818 - val_risk_out_loss: -50.4818\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 310us/step - loss: 0.0028 - risk_out_loss: 0.0028 - val_loss: -49.8328 - val_risk_out_loss: -49.8328\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 345us/step - loss: 6.1478e-05 - risk_out_loss: 6.1478e-05 - val_loss: -49.1329 - val_risk_out_loss: -49.1329\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 299us/step - loss: 2.2178e-04 - risk_out_loss: 2.2178e-04 - val_loss: -48.3781 - val_risk_out_loss: -48.3781\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 379us/step - loss: 2.4863e-04 - risk_out_loss: 2.4863e-04 - val_loss: -47.5895 - val_risk_out_loss: -47.5895\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 345us/step - loss: 7.2809e-04 - risk_out_loss: 7.2809e-04 - val_loss: -46.7664 - val_risk_out_loss: -46.7664\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 299us/step - loss: 0.0241 - risk_out_loss: 0.0241 - val_loss: -46.9737 - val_risk_out_loss: -46.9737\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 310us/step - loss: 9.6562e-05 - risk_out_loss: 9.6562e-05 - val_loss: -47.1335 - val_risk_out_loss: -47.1335\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 345us/step - loss: 3.8855e-05 - risk_out_loss: 3.8855e-05 - val_loss: -47.2646 - val_risk_out_loss: -47.2646\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 322us/step - loss: 7.7600e-05 - risk_out_loss: 7.7600e-05 - val_loss: -47.3723 - val_risk_out_loss: -47.3723\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 356us/step - loss: 0.0202 - risk_out_loss: 0.0202 - val_loss: -46.9536 - val_risk_out_loss: -46.9536\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 333us/step - loss: 1.3173e-04 - risk_out_loss: 1.3173e-04 - val_loss: -46.5490 - val_risk_out_loss: -46.5490\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 287us/step - loss: 5.4108e-05 - risk_out_loss: 5.4108e-05 - val_loss: -46.1525 - val_risk_out_loss: -46.1525\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 322us/step - loss: 0.0071 - risk_out_loss: 0.0071 - val_loss: -46.3370 - val_risk_out_loss: -46.3370\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 253us/step - loss: 7.4758e-05 - risk_out_loss: 7.4758e-05 - val_loss: -46.4737 - val_risk_out_loss: -46.4737\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 310us/step - loss: 1.9171e-04 - risk_out_loss: 1.9171e-04 - val_loss: -46.5928 - val_risk_out_loss: -46.5928\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 264us/step - loss: 0.0070 - risk_out_loss: 0.0070 - val_loss: -47.1419 - val_risk_out_loss: -47.1419\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 299us/step - loss: 0.0176 - risk_out_loss: 0.0176 - val_loss: -48.1947 - val_risk_out_loss: -48.1947\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 322us/step - loss: 1.9934e-04 - risk_out_loss: 1.9934e-04 - val_loss: -48.9333 - val_risk_out_loss: -48.9333\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 310us/step - loss: 8.0945e-05 - risk_out_loss: 8.0945e-05 - val_loss: -49.5187 - val_risk_out_loss: -49.5187\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 264us/step - loss: 6.3268e-04 - risk_out_loss: 6.3268e-04 - val_loss: -49.9604 - val_risk_out_loss: -49.9604\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 379us/step - loss: 1.8178e-04 - risk_out_loss: 1.8178e-04 - val_loss: -50.3208 - val_risk_out_loss: -50.3208\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 276us/step - loss: 0.0013 - risk_out_loss: 0.0013 - val_loss: -50.5953 - val_risk_out_loss: -50.5953\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 322us/step - loss: 3.0472e-04 - risk_out_loss: 3.0472e-04 - val_loss: -50.7874 - val_risk_out_loss: -50.7874\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 276us/step - loss: 2.8900e-04 - risk_out_loss: 2.8900e-04 - val_loss: -50.9657 - val_risk_out_loss: -50.9657\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 310us/step - loss: 1.6681e-04 - risk_out_loss: 1.6681e-04 - val_loss: -51.1061 - val_risk_out_loss: -51.1061\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 345us/step - loss: 0.0013 - risk_out_loss: 0.0013 - val_loss: -51.2087 - val_risk_out_loss: -51.2087\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 299us/step - loss: 0.0040 - risk_out_loss: 0.0040 - val_loss: -51.1652 - val_risk_out_loss: -51.1652\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 322us/step - loss: 3.8094e-04 - risk_out_loss: 3.8094e-04 - val_loss: -51.1418 - val_risk_out_loss: -51.1418\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 322us/step - loss: 2.7265e-04 - risk_out_loss: 2.7265e-04 - val_loss: -51.1195 - val_risk_out_loss: -51.1195\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 276us/step - loss: 2.3182e-04 - risk_out_loss: 2.3182e-04 - val_loss: -51.0898 - val_risk_out_loss: -51.0898\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 276us/step - loss: 0.0114 - risk_out_loss: 0.0114 - val_loss: -50.9100 - val_risk_out_loss: -50.9100\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 299us/step - loss: 0.0012 - risk_out_loss: 0.0012 - val_loss: -50.7340 - val_risk_out_loss: -50.7340\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 322us/step - loss: 4.4067e-04 - risk_out_loss: 4.4067e-04 - val_loss: -50.5750 - val_risk_out_loss: -50.5750\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 322us/step - loss: 7.8135e-04 - risk_out_loss: 7.8135e-04 - val_loss: -50.3908 - val_risk_out_loss: -50.3908\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 299us/step - loss: 2.1762e-04 - risk_out_loss: 2.1762e-04 - val_loss: -50.2225 - val_risk_out_loss: -50.2225\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 310us/step - loss: 1.4089e-04 - risk_out_loss: 1.4089e-04 - val_loss: -50.0535 - val_risk_out_loss: -50.0535\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 276us/step - loss: 1.7143e-04 - risk_out_loss: 1.7143e-04 - val_loss: -49.9026 - val_risk_out_loss: -49.9026\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 299us/step - loss: 2.0637e-04 - risk_out_loss: 2.0637e-04 - val_loss: -49.7542 - val_risk_out_loss: -49.7542\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 310us/step - loss: 1.3503e-04 - risk_out_loss: 1.3503e-04 - val_loss: -49.6336 - val_risk_out_loss: -49.6336\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 322us/step - loss: 1.9530e-04 - risk_out_loss: 1.9530e-04 - val_loss: -49.5167 - val_risk_out_loss: -49.5167\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 345us/step - loss: 1.4378e-04 - risk_out_loss: 1.4378e-04 - val_loss: -49.3948 - val_risk_out_loss: -49.3948\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 310us/step - loss: 3.0164e-04 - risk_out_loss: 3.0164e-04 - val_loss: -49.2806 - val_risk_out_loss: -49.2806\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 276us/step - loss: 0.0513 - risk_out_loss: 0.0513 - val_loss: -48.4893 - val_risk_out_loss: -48.4893\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 264us/step - loss: 7.0046e-05 - risk_out_loss: 7.0046e-05 - val_loss: -47.6000 - val_risk_out_loss: -47.6000\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 253us/step - loss: 0.0032 - risk_out_loss: 0.0032 - val_loss: -46.8478 - val_risk_out_loss: -46.8478\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 299us/step - loss: 3.2914e-05 - risk_out_loss: 3.2914e-05 - val_loss: -46.0503 - val_risk_out_loss: -46.0503\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 299us/step - loss: 0.0765 - risk_out_loss: 0.0765 - val_loss: -46.4737 - val_risk_out_loss: -46.4737\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 299us/step - loss: 0.0034 - risk_out_loss: 0.0034 - val_loss: -46.9512 - val_risk_out_loss: -46.9512\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 253us/step - loss: 0.0957 - risk_out_loss: 0.0957 - val_loss: -48.7335 - val_risk_out_loss: -48.7335\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 345us/step - loss: 3.4874e-04 - risk_out_loss: 3.4874e-04 - val_loss: -49.8739 - val_risk_out_loss: -49.8739\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 287us/step - loss: 2.7702e-04 - risk_out_loss: 2.7702e-04 - val_loss: -50.6162 - val_risk_out_loss: -50.6162\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 299us/step - loss: 0.0192 - risk_out_loss: 0.0192 - val_loss: -50.9476 - val_risk_out_loss: -50.9476\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 322us/step - loss: 3.9000e-04 - risk_out_loss: 3.9000e-04 - val_loss: -51.2054 - val_risk_out_loss: -51.2054\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 276us/step - loss: 4.7673e-04 - risk_out_loss: 4.7673e-04 - val_loss: -51.3901 - val_risk_out_loss: -51.3901\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 287us/step - loss: 0.0071 - risk_out_loss: 0.0071 - val_loss: -51.4073 - val_risk_out_loss: -51.4073\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 299us/step - loss: 6.1281e-04 - risk_out_loss: 6.1281e-04 - val_loss: -51.4097 - val_risk_out_loss: -51.4097\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 322us/step - loss: 7.7303e-04 - risk_out_loss: 7.7303e-04 - val_loss: -51.4035 - val_risk_out_loss: -51.4035\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 287us/step - loss: 4.3663e-04 - risk_out_loss: 4.3663e-04 - val_loss: -51.4018 - val_risk_out_loss: -51.4018\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 310us/step - loss: 7.7321e-04 - risk_out_loss: 7.7321e-04 - val_loss: -51.3925 - val_risk_out_loss: -51.3925\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 356us/step - loss: 7.1011e-04 - risk_out_loss: 7.1011e-04 - val_loss: -51.3787 - val_risk_out_loss: -51.3787\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 310us/step - loss: 0.1120 - risk_out_loss: 0.1120 - val_loss: -51.1883 - val_risk_out_loss: -51.1883\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 276us/step - loss: 9.8597e-04 - risk_out_loss: 9.8597e-04 - val_loss: -51.0018 - val_risk_out_loss: -51.0018\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 287us/step - loss: 0.0123 - risk_out_loss: 0.0123 - val_loss: -50.7198 - val_risk_out_loss: -50.7198\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 287us/step - loss: 0.0014 - risk_out_loss: 0.0014 - val_loss: -50.4012 - val_risk_out_loss: -50.4012\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 310us/step - loss: 6.5032e-04 - risk_out_loss: 6.5032e-04 - val_loss: -50.1069 - val_risk_out_loss: -50.1069\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 310us/step - loss: 0.0055 - risk_out_loss: 0.0055 - val_loss: -49.7696 - val_risk_out_loss: -49.7696\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 368us/step - loss: 0.0050 - risk_out_loss: 0.0050 - val_loss: -49.3890 - val_risk_out_loss: -49.3890\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 402us/step - loss: 3.7809e-04 - risk_out_loss: 3.7809e-04 - val_loss: -49.0292 - val_risk_out_loss: -49.0292\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 322us/step - loss: 0.0022 - risk_out_loss: 0.0022 - val_loss: -48.6722 - val_risk_out_loss: -48.6722\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 310us/step - loss: 0.0025 - risk_out_loss: 0.0025 - val_loss: -48.2946 - val_risk_out_loss: -48.2946\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 322us/step - loss: 4.3879e-04 - risk_out_loss: 4.3879e-04 - val_loss: -47.9414 - val_risk_out_loss: -47.9414\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 413us/step - loss: 0.0019 - risk_out_loss: 0.0019 - val_loss: -47.5842 - val_risk_out_loss: -47.5842\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 356us/step - loss: 7.9270e-04 - risk_out_loss: 7.9270e-04 - val_loss: -47.2499 - val_risk_out_loss: -47.2499\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 310us/step - loss: 0.0020 - risk_out_loss: 0.0020 - val_loss: -46.9119 - val_risk_out_loss: -46.9119\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 356us/step - loss: 0.0025 - risk_out_loss: 0.0025 - val_loss: -46.5618 - val_risk_out_loss: -46.5618\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 310us/step - loss: 3.7413e-04 - risk_out_loss: 3.7413e-04 - val_loss: -46.2049 - val_risk_out_loss: -46.2049\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 333us/step - loss: 2.9456e-04 - risk_out_loss: 2.9456e-04 - val_loss: -45.8839 - val_risk_out_loss: -45.8839\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 436us/step - loss: 3.6324e-04 - risk_out_loss: 3.6324e-04 - val_loss: -45.5833 - val_risk_out_loss: -45.5833\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 379us/step - loss: 0.0026 - risk_out_loss: 0.0026 - val_loss: -45.2404 - val_risk_out_loss: -45.2404\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 333us/step - loss: 0.0352 - risk_out_loss: 0.0352 - val_loss: -44.3802 - val_risk_out_loss: -44.3802\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 276us/step - loss: 2.6308e-04 - risk_out_loss: 2.6308e-04 - val_loss: -43.5686 - val_risk_out_loss: -43.5686\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 310us/step - loss: 5.8031e-04 - risk_out_loss: 5.8031e-04 - val_loss: -42.8140 - val_risk_out_loss: -42.8140\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 264us/step - loss: 7.6339e-04 - risk_out_loss: 7.6339e-04 - val_loss: -42.1101 - val_risk_out_loss: -42.1101\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 253us/step - loss: 2.6855e-04 - risk_out_loss: 2.6855e-04 - val_loss: -41.4522 - val_risk_out_loss: -41.4522\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 333us/step - loss: 1.0428e-04 - risk_out_loss: 1.0428e-04 - val_loss: -40.8426 - val_risk_out_loss: -40.8426\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 299us/step - loss: 0.0216 - risk_out_loss: 0.0216 - val_loss: -39.8957 - val_risk_out_loss: -39.8957\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 264us/step - loss: 0.0012 - risk_out_loss: 0.0012 - val_loss: -39.1391 - val_risk_out_loss: -39.1391\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 333us/step - loss: 2.0969e-04 - risk_out_loss: 2.0969e-04 - val_loss: -38.3948 - val_risk_out_loss: -38.3948\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 299us/step - loss: 1.9577e-04 - risk_out_loss: 1.9577e-04 - val_loss: -37.6835 - val_risk_out_loss: -37.6835\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 276us/step - loss: 0.0026 - risk_out_loss: 0.0026 - val_loss: -37.2763 - val_risk_out_loss: -37.2763\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 345us/step - loss: 9.9307e-05 - risk_out_loss: 9.9307e-05 - val_loss: -36.8846 - val_risk_out_loss: -36.8846\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 299us/step - loss: 1.9243e-04 - risk_out_loss: 1.9243e-04 - val_loss: -36.5585 - val_risk_out_loss: -36.5585\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 310us/step - loss: 0.0058 - risk_out_loss: 0.0058 - val_loss: -36.8173 - val_risk_out_loss: -36.8173\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 391us/step - loss: 6.2931e-04 - risk_out_loss: 6.2931e-04 - val_loss: -37.0854 - val_risk_out_loss: -37.0854\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 494us/step - loss: 3.6289e-04 - risk_out_loss: 3.6289e-04 - val_loss: -37.3342 - val_risk_out_loss: -37.3342\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 402us/step - loss: 0.0049 - risk_out_loss: 0.0049 - val_loss: -37.1802 - val_risk_out_loss: -37.1802\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 425us/step - loss: 1.3060e-04 - risk_out_loss: 1.3060e-04 - val_loss: -37.0305 - val_risk_out_loss: -37.0305\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 287us/step - loss: 0.0020 - risk_out_loss: 0.0020 - val_loss: -36.8193 - val_risk_out_loss: -36.8193\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 322us/step - loss: 6.6750e-05 - risk_out_loss: 6.6750e-05 - val_loss: -36.6078 - val_risk_out_loss: -36.6078\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 276us/step - loss: 9.4240e-05 - risk_out_loss: 9.4240e-05 - val_loss: -36.4263 - val_risk_out_loss: -36.4263\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 345us/step - loss: 0.0598 - risk_out_loss: 0.0598 - val_loss: -37.0908 - val_risk_out_loss: -37.0908\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 345us/step - loss: 1.7240e-05 - risk_out_loss: 1.7240e-05 - val_loss: -37.6910 - val_risk_out_loss: -37.6910\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 333us/step - loss: 9.4783e-04 - risk_out_loss: 9.4783e-04 - val_loss: -38.2584 - val_risk_out_loss: -38.2584\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 287us/step - loss: 7.3817e-05 - risk_out_loss: 7.3817e-05 - val_loss: -38.7637 - val_risk_out_loss: -38.7637\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 322us/step - loss: 5.0475e-04 - risk_out_loss: 5.0475e-04 - val_loss: -39.1916 - val_risk_out_loss: -39.1916\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 368us/step - loss: 7.7073e-05 - risk_out_loss: 7.7073e-05 - val_loss: -39.5629 - val_risk_out_loss: -39.5629\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 322us/step - loss: 0.0017 - risk_out_loss: 0.0017 - val_loss: -39.8258 - val_risk_out_loss: -39.8258\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 276us/step - loss: 6.9550e-04 - risk_out_loss: 6.9550e-04 - val_loss: -40.0920 - val_risk_out_loss: -40.0920\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 287us/step - loss: 1.2549e-04 - risk_out_loss: 1.2549e-04 - val_loss: -40.3643 - val_risk_out_loss: -40.3643\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 333us/step - loss: 8.6108e-05 - risk_out_loss: 8.6108e-05 - val_loss: -40.5957 - val_risk_out_loss: -40.5957\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 333us/step - loss: 1.1807e-04 - risk_out_loss: 1.1807e-04 - val_loss: -40.8004 - val_risk_out_loss: -40.8004\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 356us/step - loss: 9.0439e-05 - risk_out_loss: 9.0439e-05 - val_loss: -40.9823 - val_risk_out_loss: -40.9823\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 264us/step - loss: 1.0808e-04 - risk_out_loss: 1.0808e-04 - val_loss: -41.1383 - val_risk_out_loss: -41.1383\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 356us/step - loss: 8.7311e-05 - risk_out_loss: 8.7311e-05 - val_loss: -41.2906 - val_risk_out_loss: -41.2906\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 264us/step - loss: 3.5347e-04 - risk_out_loss: 3.5347e-04 - val_loss: -41.4207 - val_risk_out_loss: -41.4207\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 310us/step - loss: 1.0375e-04 - risk_out_loss: 1.0375e-04 - val_loss: -41.5514 - val_risk_out_loss: -41.5514\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 276us/step - loss: 0.0736 - risk_out_loss: 0.0736 - val_loss: -41.9206 - val_risk_out_loss: -41.9206\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 310us/step - loss: 2.1650e-04 - risk_out_loss: 2.1650e-04 - val_loss: -42.2448 - val_risk_out_loss: -42.2448\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 264us/step - loss: 0.0014 - risk_out_loss: 0.0014 - val_loss: -42.6565 - val_risk_out_loss: -42.6565\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 321us/step - loss: 3.8375e-04 - risk_out_loss: 3.8375e-04 - val_loss: -42.9976 - val_risk_out_loss: -42.9976\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 379us/step - loss: 0.0027 - risk_out_loss: 0.0027 - val_loss: -43.4624 - val_risk_out_loss: -43.4624\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 310us/step - loss: 6.0813e-04 - risk_out_loss: 6.0813e-04 - val_loss: -43.8606 - val_risk_out_loss: -43.8606\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 356us/step - loss: 2.6402e-04 - risk_out_loss: 2.6402e-04 - val_loss: -44.2161 - val_risk_out_loss: -44.2161\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 276us/step - loss: 3.1425e-04 - risk_out_loss: 3.1425e-04 - val_loss: -44.5083 - val_risk_out_loss: -44.5083\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 299us/step - loss: 2.3784e-04 - risk_out_loss: 2.3784e-04 - val_loss: -44.7783 - val_risk_out_loss: -44.7783\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 276us/step - loss: 1.2131e-04 - risk_out_loss: 1.2131e-04 - val_loss: -45.0091 - val_risk_out_loss: -45.0091\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 299us/step - loss: 1.8584e-04 - risk_out_loss: 1.8584e-04 - val_loss: -45.2266 - val_risk_out_loss: -45.2266\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 299us/step - loss: 4.3006e-04 - risk_out_loss: 4.3006e-04 - val_loss: -45.4125 - val_risk_out_loss: -45.4125\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 322us/step - loss: 5.4766e-04 - risk_out_loss: 5.4766e-04 - val_loss: -45.5739 - val_risk_out_loss: -45.5739\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 333us/step - loss: 0.0022 - risk_out_loss: 0.0022 - val_loss: -45.6685 - val_risk_out_loss: -45.6685\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 276us/step - loss: 5.3527e-05 - risk_out_loss: 5.3527e-05 - val_loss: -45.7695 - val_risk_out_loss: -45.7695\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 391us/step - loss: 0.0242 - risk_out_loss: 0.0242 - val_loss: -45.3116 - val_risk_out_loss: -45.3116\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 310us/step - loss: 1.4120e-04 - risk_out_loss: 1.4120e-04 - val_loss: -44.8780 - val_risk_out_loss: -44.8780\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 333us/step - loss: 9.5291e-04 - risk_out_loss: 9.5291e-04 - val_loss: -44.4734 - val_risk_out_loss: -44.4734\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 276us/step - loss: 3.8921e-04 - risk_out_loss: 3.8921e-04 - val_loss: -44.1030 - val_risk_out_loss: -44.1030\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 276us/step - loss: 2.1440e-04 - risk_out_loss: 2.1440e-04 - val_loss: -43.7494 - val_risk_out_loss: -43.7494\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 322us/step - loss: 2.9941e-04 - risk_out_loss: 2.9941e-04 - val_loss: -43.4200 - val_risk_out_loss: -43.4200\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 276us/step - loss: 8.5326e-05 - risk_out_loss: 8.5326e-05 - val_loss: -43.1238 - val_risk_out_loss: -43.1238\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 287us/step - loss: 1.4026e-04 - risk_out_loss: 1.4026e-04 - val_loss: -42.8635 - val_risk_out_loss: -42.8635\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 299us/step - loss: 1.9091e-04 - risk_out_loss: 1.9091e-04 - val_loss: -42.6251 - val_risk_out_loss: -42.6251\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 287us/step - loss: 3.6998e-04 - risk_out_loss: 3.6998e-04 - val_loss: -42.3930 - val_risk_out_loss: -42.3930\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 299us/step - loss: 4.6810e-04 - risk_out_loss: 4.6810e-04 - val_loss: -42.1824 - val_risk_out_loss: -42.1824\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 276us/step - loss: 1.3729e-04 - risk_out_loss: 1.3729e-04 - val_loss: -41.9968 - val_risk_out_loss: -41.9968\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 310us/step - loss: 2.3118e-04 - risk_out_loss: 2.3118e-04 - val_loss: -41.8386 - val_risk_out_loss: -41.8386\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 333us/step - loss: 5.8312e-04 - risk_out_loss: 5.8312e-04 - val_loss: -41.6734 - val_risk_out_loss: -41.6734\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 299us/step - loss: 1.1883e-04 - risk_out_loss: 1.1883e-04 - val_loss: -41.5308 - val_risk_out_loss: -41.5308\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 391us/step - loss: 2.6511e-04 - risk_out_loss: 2.6511e-04 - val_loss: -41.4137 - val_risk_out_loss: -41.4137\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 368us/step - loss: 0.0251 - risk_out_loss: 0.0251 - val_loss: -40.8318 - val_risk_out_loss: -40.8318\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 333us/step - loss: 3.0453e-04 - risk_out_loss: 3.0453e-04 - val_loss: -40.2768 - val_risk_out_loss: -40.2768\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 310us/step - loss: 3.1709e-04 - risk_out_loss: 3.1709e-04 - val_loss: -39.7753 - val_risk_out_loss: -39.7753\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 287us/step - loss: 3.5686e-04 - risk_out_loss: 3.5686e-04 - val_loss: -39.3375 - val_risk_out_loss: -39.3375\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 287us/step - loss: 0.0108 - risk_out_loss: 0.0108 - val_loss: -38.5759 - val_risk_out_loss: -38.5759\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 494us/step - loss: 2.5574e-04 - risk_out_loss: 2.5574e-04 - val_loss: -37.8777 - val_risk_out_loss: -37.8777\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 402us/step - loss: 0.0010 - risk_out_loss: 0.0010 - val_loss: -37.3468 - val_risk_out_loss: -37.3468\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 299us/step - loss: 8.6171e-04 - risk_out_loss: 8.6171e-04 - val_loss: -36.9031 - val_risk_out_loss: -36.9031\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 356us/step - loss: 1.0288e-04 - risk_out_loss: 1.0288e-04 - val_loss: -36.5145 - val_risk_out_loss: -36.5145\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 402us/step - loss: 0.0095 - risk_out_loss: 0.0095 - val_loss: -36.9102 - val_risk_out_loss: -36.9102\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 310us/step - loss: 2.5026e-04 - risk_out_loss: 2.5026e-04 - val_loss: -37.2726 - val_risk_out_loss: -37.2726\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 368us/step - loss: 1.6543e-04 - risk_out_loss: 1.6543e-04 - val_loss: -37.5940 - val_risk_out_loss: -37.5940\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 368us/step - loss: 2.0529e-04 - risk_out_loss: 2.0529e-04 - val_loss: -37.8989 - val_risk_out_loss: -37.8989\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 276us/step - loss: 1.4706e-04 - risk_out_loss: 1.4706e-04 - val_loss: -38.1705 - val_risk_out_loss: -38.1705\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 345us/step - loss: 7.1869e-05 - risk_out_loss: 7.1869e-05 - val_loss: -38.4001 - val_risk_out_loss: -38.4001\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 379us/step - loss: 1.3705e-04 - risk_out_loss: 1.3705e-04 - val_loss: -38.6236 - val_risk_out_loss: -38.6236\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 391us/step - loss: 0.0012 - risk_out_loss: 0.0012 - val_loss: -38.9280 - val_risk_out_loss: -38.9280\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 368us/step - loss: 4.1639e-04 - risk_out_loss: 4.1639e-04 - val_loss: -39.2437 - val_risk_out_loss: -39.2437\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 413us/step - loss: 0.0015 - risk_out_loss: 0.0015 - val_loss: -39.6564 - val_risk_out_loss: -39.6564\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 356us/step - loss: 1.8181e-04 - risk_out_loss: 1.8181e-04 - val_loss: -40.0236 - val_risk_out_loss: -40.0236\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 402us/step - loss: 3.0362e-04 - risk_out_loss: 3.0362e-04 - val_loss: -40.3790 - val_risk_out_loss: -40.3790\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 425us/step - loss: 0.0109 - risk_out_loss: 0.0109 - val_loss: -40.6170 - val_risk_out_loss: -40.6170\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 459us/step - loss: 2.5927e-04 - risk_out_loss: 2.5927e-04 - val_loss: -40.8692 - val_risk_out_loss: -40.8692\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 402us/step - loss: 0.0022 - risk_out_loss: 0.0022 - val_loss: -41.1563 - val_risk_out_loss: -41.1563\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 310us/step - loss: 1.7754e-04 - risk_out_loss: 1.7754e-04 - val_loss: -41.4187 - val_risk_out_loss: -41.4187\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 379us/step - loss: 1.0783e-04 - risk_out_loss: 1.0783e-04 - val_loss: -41.6446 - val_risk_out_loss: -41.6446\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 322us/step - loss: 1.0284e-04 - risk_out_loss: 1.0284e-04 - val_loss: -41.8465 - val_risk_out_loss: -41.8465\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 391us/step - loss: 6.9528e-04 - risk_out_loss: 6.9528e-04 - val_loss: -42.0912 - val_risk_out_loss: -42.0912\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 379us/step - loss: 1.3493e-04 - risk_out_loss: 1.3493e-04 - val_loss: -42.2955 - val_risk_out_loss: -42.2955\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 310us/step - loss: 6.9657e-05 - risk_out_loss: 6.9657e-05 - val_loss: -42.4773 - val_risk_out_loss: -42.4773\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 310us/step - loss: 8.6673e-05 - risk_out_loss: 8.6673e-05 - val_loss: -42.6523 - val_risk_out_loss: -42.6523\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 356us/step - loss: 6.3707e-05 - risk_out_loss: 6.3707e-05 - val_loss: -42.7910 - val_risk_out_loss: -42.7910\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 368us/step - loss: 1.1300e-04 - risk_out_loss: 1.1300e-04 - val_loss: -42.9207 - val_risk_out_loss: -42.9207\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 310us/step - loss: 1.2090e-04 - risk_out_loss: 1.2090e-04 - val_loss: -43.0419 - val_risk_out_loss: -43.0419\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 345us/step - loss: 9.5748e-05 - risk_out_loss: 9.5748e-05 - val_loss: -43.1410 - val_risk_out_loss: -43.1410\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 333us/step - loss: 2.3178e-04 - risk_out_loss: 2.3178e-04 - val_loss: -43.2260 - val_risk_out_loss: -43.2260\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 379us/step - loss: 8.9606e-05 - risk_out_loss: 8.9606e-05 - val_loss: -43.3245 - val_risk_out_loss: -43.3245\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 287us/step - loss: 3.8849e-04 - risk_out_loss: 3.8849e-04 - val_loss: -43.3875 - val_risk_out_loss: -43.3875\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 276us/step - loss: 1.1802e-04 - risk_out_loss: 1.1802e-04 - val_loss: -43.4384 - val_risk_out_loss: -43.4384\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 276us/step - loss: 7.0915e-04 - risk_out_loss: 7.0915e-04 - val_loss: -43.4897 - val_risk_out_loss: -43.4897\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 356us/step - loss: 6.6131e-04 - risk_out_loss: 6.6131e-04 - val_loss: -43.5626 - val_risk_out_loss: -43.5626\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 264us/step - loss: 1.0154e-04 - risk_out_loss: 1.0154e-04 - val_loss: -43.6388 - val_risk_out_loss: -43.6388\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 299us/step - loss: 2.0244e-04 - risk_out_loss: 2.0244e-04 - val_loss: -43.7128 - val_risk_out_loss: -43.7128\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 299us/step - loss: 7.5227e-05 - risk_out_loss: 7.5227e-05 - val_loss: -43.7725 - val_risk_out_loss: -43.7725\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 264us/step - loss: 2.0897e-04 - risk_out_loss: 2.0897e-04 - val_loss: -43.8371 - val_risk_out_loss: -43.8371\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 253us/step - loss: 3.1185e-04 - risk_out_loss: 3.1185e-04 - val_loss: -43.9147 - val_risk_out_loss: -43.9147\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 287us/step - loss: 0.0015 - risk_out_loss: 0.0015 - val_loss: -44.0611 - val_risk_out_loss: -44.0611\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 310us/step - loss: 3.3731e-04 - risk_out_loss: 3.3731e-04 - val_loss: -44.2151 - val_risk_out_loss: -44.2151\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 287us/step - loss: 6.7995e-04 - risk_out_loss: 6.7995e-04 - val_loss: -44.3853 - val_risk_out_loss: -44.3853\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 333us/step - loss: 8.3177e-05 - risk_out_loss: 8.3177e-05 - val_loss: -44.5300 - val_risk_out_loss: -44.5300\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 253us/step - loss: 7.7833e-04 - risk_out_loss: 7.7833e-04 - val_loss: -44.6664 - val_risk_out_loss: -44.6664\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 276us/step - loss: 2.6174e-04 - risk_out_loss: 2.6174e-04 - val_loss: -44.7659 - val_risk_out_loss: -44.7659\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 310us/step - loss: 4.0300e-05 - risk_out_loss: 4.0300e-05 - val_loss: -44.8670 - val_risk_out_loss: -44.8670\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 276us/step - loss: 0.0052 - risk_out_loss: 0.0052 - val_loss: -44.6565 - val_risk_out_loss: -44.6565\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 299us/step - loss: 1.1283e-04 - risk_out_loss: 1.1283e-04 - val_loss: -44.4765 - val_risk_out_loss: -44.4765\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 322us/step - loss: 2.1546e-04 - risk_out_loss: 2.1546e-04 - val_loss: -44.3025 - val_risk_out_loss: -44.3025\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 264us/step - loss: 1.1742e-04 - risk_out_loss: 1.1742e-04 - val_loss: -44.1441 - val_risk_out_loss: -44.1441\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 276us/step - loss: 1.1467e-04 - risk_out_loss: 1.1467e-04 - val_loss: -44.0045 - val_risk_out_loss: -44.0045\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 253us/step - loss: 5.8080e-05 - risk_out_loss: 5.8080e-05 - val_loss: -43.8657 - val_risk_out_loss: -43.8657\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 276us/step - loss: 3.1524e-05 - risk_out_loss: 3.1524e-05 - val_loss: -43.7492 - val_risk_out_loss: -43.7492\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 264us/step - loss: 5.3426e-05 - risk_out_loss: 5.3426e-05 - val_loss: -43.6275 - val_risk_out_loss: -43.6275\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 276us/step - loss: 8.9052e-05 - risk_out_loss: 8.9052e-05 - val_loss: -43.5300 - val_risk_out_loss: -43.5300\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 287us/step - loss: 0.0012 - risk_out_loss: 0.0012 - val_loss: -43.5184 - val_risk_out_loss: -43.5184\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 287us/step - loss: 1.3433e-04 - risk_out_loss: 1.3433e-04 - val_loss: -43.5188 - val_risk_out_loss: -43.5188\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 333us/step - loss: 5.9809e-04 - risk_out_loss: 5.9809e-04 - val_loss: -43.4963 - val_risk_out_loss: -43.4963\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 310us/step - loss: 4.1904e-05 - risk_out_loss: 4.1904e-05 - val_loss: -43.4829 - val_risk_out_loss: -43.4829\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 345us/step - loss: 1.4792e-04 - risk_out_loss: 1.4792e-04 - val_loss: -43.4763 - val_risk_out_loss: -43.4763\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 253us/step - loss: 7.7840e-05 - risk_out_loss: 7.7840e-05 - val_loss: -43.4597 - val_risk_out_loss: -43.4597\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 368us/step - loss: 9.8883e-04 - risk_out_loss: 9.8883e-04 - val_loss: -43.5041 - val_risk_out_loss: -43.5041\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 391us/step - loss: 3.8218e-04 - risk_out_loss: 3.8218e-04 - val_loss: -43.5769 - val_risk_out_loss: -43.5769\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 310us/step - loss: 5.5652e-05 - risk_out_loss: 5.5652e-05 - val_loss: -43.6533 - val_risk_out_loss: -43.6533\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 241us/step - loss: 3.8587e-05 - risk_out_loss: 3.8587e-05 - val_loss: -43.7173 - val_risk_out_loss: -43.7173\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 310us/step - loss: 1.8978e-04 - risk_out_loss: 1.8978e-04 - val_loss: -43.7855 - val_risk_out_loss: -43.7855\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 276us/step - loss: 5.5406e-05 - risk_out_loss: 5.5406e-05 - val_loss: -43.8330 - val_risk_out_loss: -43.8330\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 287us/step - loss: 4.3726e-05 - risk_out_loss: 4.3726e-05 - val_loss: -43.8758 - val_risk_out_loss: -43.8758\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 264us/step - loss: 1.7592e-04 - risk_out_loss: 1.7592e-04 - val_loss: -43.9297 - val_risk_out_loss: -43.9297\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 310us/step - loss: 5.7680e-05 - risk_out_loss: 5.7680e-05 - val_loss: -43.9789 - val_risk_out_loss: -43.9789\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 276us/step - loss: 1.6384e-04 - risk_out_loss: 1.6384e-04 - val_loss: -44.0326 - val_risk_out_loss: -44.0326\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 310us/step - loss: 4.9580e-04 - risk_out_loss: 4.9580e-04 - val_loss: -44.1282 - val_risk_out_loss: -44.1282\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 276us/step - loss: 1.4417e-04 - risk_out_loss: 1.4417e-04 - val_loss: -44.2084 - val_risk_out_loss: -44.2084\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 299us/step - loss: 1.9380e-04 - risk_out_loss: 1.9380e-04 - val_loss: -44.2989 - val_risk_out_loss: -44.2989\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 345us/step - loss: 4.4981e-05 - risk_out_loss: 4.4981e-05 - val_loss: -44.3848 - val_risk_out_loss: -44.3848\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 310us/step - loss: 7.4449e-05 - risk_out_loss: 7.4449e-05 - val_loss: -44.4663 - val_risk_out_loss: -44.4663\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 322us/step - loss: 6.4290e-05 - risk_out_loss: 6.4290e-05 - val_loss: -44.5344 - val_risk_out_loss: -44.5344\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 322us/step - loss: 7.4725e-05 - risk_out_loss: 7.4725e-05 - val_loss: -44.5987 - val_risk_out_loss: -44.5987\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 287us/step - loss: 7.7076e-05 - risk_out_loss: 7.7076e-05 - val_loss: -44.6497 - val_risk_out_loss: -44.6497\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 299us/step - loss: 1.0047e-04 - risk_out_loss: 1.0047e-04 - val_loss: -44.7047 - val_risk_out_loss: -44.7047\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 310us/step - loss: 6.3114e-05 - risk_out_loss: 6.3114e-05 - val_loss: -44.7519 - val_risk_out_loss: -44.7519\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 253us/step - loss: 1.0886e-04 - risk_out_loss: 1.0886e-04 - val_loss: -44.7997 - val_risk_out_loss: -44.7997\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 333us/step - loss: 2.1577e-05 - risk_out_loss: 2.1577e-05 - val_loss: -44.8435 - val_risk_out_loss: -44.8435\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 253us/step - loss: 8.5980e-05 - risk_out_loss: 8.5980e-05 - val_loss: -44.8724 - val_risk_out_loss: -44.8724\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 322us/step - loss: 4.8644e-05 - risk_out_loss: 4.8644e-05 - val_loss: -44.8980 - val_risk_out_loss: -44.8980\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 299us/step - loss: 1.3220e-04 - risk_out_loss: 1.3220e-04 - val_loss: -44.9227 - val_risk_out_loss: -44.9227\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 287us/step - loss: 1.5311e-04 - risk_out_loss: 1.5311e-04 - val_loss: -44.9497 - val_risk_out_loss: -44.9497\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 276us/step - loss: 1.7313e-04 - risk_out_loss: 1.7313e-04 - val_loss: -44.9919 - val_risk_out_loss: -44.9919\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 276us/step - loss: 7.4638e-05 - risk_out_loss: 7.4638e-05 - val_loss: -45.0257 - val_risk_out_loss: -45.0257\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 264us/step - loss: 9.2315e-05 - risk_out_loss: 9.2315e-05 - val_loss: -45.0592 - val_risk_out_loss: -45.0592\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 276us/step - loss: 6.0638e-05 - risk_out_loss: 6.0638e-05 - val_loss: -45.0825 - val_risk_out_loss: -45.0825\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 264us/step - loss: 5.9554e-05 - risk_out_loss: 5.9554e-05 - val_loss: -45.1155 - val_risk_out_loss: -45.1155\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 322us/step - loss: 5.6570e-05 - risk_out_loss: 5.6570e-05 - val_loss: -45.1429 - val_risk_out_loss: -45.1429\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 253us/step - loss: 7.7269e-05 - risk_out_loss: 7.7269e-05 - val_loss: -45.1712 - val_risk_out_loss: -45.1712\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 287us/step - loss: 0.0020 - risk_out_loss: 0.0020 - val_loss: -45.3093 - val_risk_out_loss: -45.3093\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 264us/step - loss: 1.3296e-04 - risk_out_loss: 1.3296e-04 - val_loss: -45.4451 - val_risk_out_loss: -45.4451\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 356us/step - loss: 0.0010 - risk_out_loss: 0.0010 - val_loss: -45.5164 - val_risk_out_loss: -45.5164\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 299us/step - loss: 8.7003e-04 - risk_out_loss: 8.7003e-04 - val_loss: -45.5277 - val_risk_out_loss: -45.5277\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 264us/step - loss: 9.0325e-05 - risk_out_loss: 9.0325e-05 - val_loss: -45.5386 - val_risk_out_loss: -45.5386\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 310us/step - loss: 6.4835e-05 - risk_out_loss: 6.4835e-05 - val_loss: -45.5456 - val_risk_out_loss: -45.5456\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 287us/step - loss: 2.5871e-04 - risk_out_loss: 2.5871e-04 - val_loss: -45.5457 - val_risk_out_loss: -45.5457\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 391us/step - loss: 9.3344e-05 - risk_out_loss: 9.3344e-05 - val_loss: -45.5447 - val_risk_out_loss: -45.5447\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 287us/step - loss: 1.5496e-04 - risk_out_loss: 1.5496e-04 - val_loss: -45.5501 - val_risk_out_loss: -45.5501\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 287us/step - loss: 1.4239e-04 - risk_out_loss: 1.4239e-04 - val_loss: -45.5546 - val_risk_out_loss: -45.5546\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 253us/step - loss: 0.0160 - risk_out_loss: 0.0160 - val_loss: -46.0542 - val_risk_out_loss: -46.0542\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 276us/step - loss: 0.0758 - risk_out_loss: 0.0758 - val_loss: -45.4470 - val_risk_out_loss: -45.4470\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 287us/step - loss: 2.2474e-04 - risk_out_loss: 2.2474e-04 - val_loss: -44.8709 - val_risk_out_loss: -44.8709\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 253us/step - loss: 1.7220e-04 - risk_out_loss: 1.7220e-04 - val_loss: -44.3476 - val_risk_out_loss: -44.3476\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 345us/step - loss: 7.8083e-05 - risk_out_loss: 7.8083e-05 - val_loss: -43.8459 - val_risk_out_loss: -43.8459\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 287us/step - loss: 5.5043e-05 - risk_out_loss: 5.5043e-05 - val_loss: -43.3661 - val_risk_out_loss: -43.3661\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 264us/step - loss: 1.4745e-04 - risk_out_loss: 1.4745e-04 - val_loss: -42.9239 - val_risk_out_loss: -42.9239\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 299us/step - loss: 4.4970e-05 - risk_out_loss: 4.4970e-05 - val_loss: -42.5256 - val_risk_out_loss: -42.5256\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 253us/step - loss: 4.1470e-05 - risk_out_loss: 4.1470e-05 - val_loss: -42.1391 - val_risk_out_loss: -42.1391\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 322us/step - loss: 2.0141e-04 - risk_out_loss: 2.0141e-04 - val_loss: -41.8185 - val_risk_out_loss: -41.8185\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 299us/step - loss: 0.0011 - risk_out_loss: 0.0011 - val_loss: -41.5920 - val_risk_out_loss: -41.5920\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 345us/step - loss: 2.4654e-04 - risk_out_loss: 2.4654e-04 - val_loss: -41.4076 - val_risk_out_loss: -41.4076\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 333us/step - loss: 1.0542e-04 - risk_out_loss: 1.0542e-04 - val_loss: -41.2305 - val_risk_out_loss: -41.2305\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 276us/step - loss: 7.7082e-05 - risk_out_loss: 7.7082e-05 - val_loss: -41.0845 - val_risk_out_loss: -41.0845\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 310us/step - loss: 1.8167e-04 - risk_out_loss: 1.8167e-04 - val_loss: -40.9665 - val_risk_out_loss: -40.9665\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 368us/step - loss: 2.4388e-04 - risk_out_loss: 2.4388e-04 - val_loss: -40.8771 - val_risk_out_loss: -40.8771\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 253us/step - loss: 6.0668e-05 - risk_out_loss: 6.0668e-05 - val_loss: -40.7927 - val_risk_out_loss: -40.7927\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 253us/step - loss: 1.7456e-04 - risk_out_loss: 1.7456e-04 - val_loss: -40.7143 - val_risk_out_loss: -40.7143\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 264us/step - loss: 6.2737e-04 - risk_out_loss: 6.2737e-04 - val_loss: -40.6913 - val_risk_out_loss: -40.6913\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 368us/step - loss: 1.5164e-04 - risk_out_loss: 1.5164e-04 - val_loss: -40.6805 - val_risk_out_loss: -40.6805\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 287us/step - loss: 2.8696e-04 - risk_out_loss: 2.8696e-04 - val_loss: -40.6816 - val_risk_out_loss: -40.6816\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 436us/step - loss: 0.0030 - risk_out_loss: 0.0030 - val_loss: -40.9278 - val_risk_out_loss: -40.9278\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 310us/step - loss: 2.2258e-04 - risk_out_loss: 2.2258e-04 - val_loss: -41.1445 - val_risk_out_loss: -41.1445\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 322us/step - loss: 0.0018 - risk_out_loss: 0.0018 - val_loss: -41.5079 - val_risk_out_loss: -41.5079\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 264us/step - loss: 1.6296e-04 - risk_out_loss: 1.6296e-04 - val_loss: -41.8154 - val_risk_out_loss: -41.8154\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 264us/step - loss: 7.3210e-05 - risk_out_loss: 7.3210e-05 - val_loss: -42.0978 - val_risk_out_loss: -42.0978\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 287us/step - loss: 0.0028 - risk_out_loss: 0.0028 - val_loss: -42.5389 - val_risk_out_loss: -42.5389\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 264us/step - loss: 0.0024 - risk_out_loss: 0.0024 - val_loss: -43.0400 - val_risk_out_loss: -43.0400\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 264us/step - loss: 8.7705e-05 - risk_out_loss: 8.7705e-05 - val_loss: -43.5057 - val_risk_out_loss: -43.5057\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 333us/step - loss: 1.2130e-04 - risk_out_loss: 1.2130e-04 - val_loss: -43.8937 - val_risk_out_loss: -43.8937\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 310us/step - loss: 5.7717e-04 - risk_out_loss: 5.7717e-04 - val_loss: -44.3003 - val_risk_out_loss: -44.3003\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 322us/step - loss: 4.4467e-04 - risk_out_loss: 4.4467e-04 - val_loss: -44.6567 - val_risk_out_loss: -44.6567\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 287us/step - loss: 1.1726e-04 - risk_out_loss: 1.1726e-04 - val_loss: -44.9935 - val_risk_out_loss: -44.9935\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 310us/step - loss: 4.0676e-04 - risk_out_loss: 4.0676e-04 - val_loss: -45.2937 - val_risk_out_loss: -45.2937\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 287us/step - loss: 3.1522e-04 - risk_out_loss: 3.1522e-04 - val_loss: -45.5438 - val_risk_out_loss: -45.5438\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 310us/step - loss: 1.2795e-04 - risk_out_loss: 1.2795e-04 - val_loss: -45.7652 - val_risk_out_loss: -45.7652\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 299us/step - loss: 7.8725e-05 - risk_out_loss: 7.8725e-05 - val_loss: -45.9665 - val_risk_out_loss: -45.9665\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 264us/step - loss: 7.3819e-05 - risk_out_loss: 7.3819e-05 - val_loss: -46.1546 - val_risk_out_loss: -46.1546\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 264us/step - loss: 5.5748e-05 - risk_out_loss: 5.5748e-05 - val_loss: -46.3103 - val_risk_out_loss: -46.3103\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 264us/step - loss: 1.8353e-04 - risk_out_loss: 1.8353e-04 - val_loss: -46.4468 - val_risk_out_loss: -46.4468\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 276us/step - loss: 0.0029 - risk_out_loss: 0.0029 - val_loss: -46.4487 - val_risk_out_loss: -46.4487\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 287us/step - loss: 6.6734e-05 - risk_out_loss: 6.6734e-05 - val_loss: -46.4310 - val_risk_out_loss: -46.4310\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 276us/step - loss: 1.5448e-04 - risk_out_loss: 1.5448e-04 - val_loss: -46.4211 - val_risk_out_loss: -46.4211\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 276us/step - loss: 6.7176e-05 - risk_out_loss: 6.7176e-05 - val_loss: -46.4133 - val_risk_out_loss: -46.4133\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 310us/step - loss: 1.1941e-04 - risk_out_loss: 1.1941e-04 - val_loss: -46.4076 - val_risk_out_loss: -46.4076\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 287us/step - loss: 6.9120e-05 - risk_out_loss: 6.9120e-05 - val_loss: -46.4052 - val_risk_out_loss: -46.4052\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 276us/step - loss: 2.2228e-04 - risk_out_loss: 2.2228e-04 - val_loss: -46.4019 - val_risk_out_loss: -46.4019\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 276us/step - loss: 1.5294e-04 - risk_out_loss: 1.5294e-04 - val_loss: -46.3976 - val_risk_out_loss: -46.3976\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 310us/step - loss: 1.0637e-04 - risk_out_loss: 1.0637e-04 - val_loss: -46.3969 - val_risk_out_loss: -46.3969\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 276us/step - loss: 8.0686e-05 - risk_out_loss: 8.0686e-05 - val_loss: -46.3992 - val_risk_out_loss: -46.3992\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 299us/step - loss: 7.8710e-05 - risk_out_loss: 7.8710e-05 - val_loss: -46.3987 - val_risk_out_loss: -46.3987\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 310us/step - loss: 1.2566e-04 - risk_out_loss: 1.2566e-04 - val_loss: -46.3983 - val_risk_out_loss: -46.3983\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 287us/step - loss: 3.1020e-05 - risk_out_loss: 3.1020e-05 - val_loss: -46.3982 - val_risk_out_loss: -46.3982\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 264us/step - loss: 2.3406e-04 - risk_out_loss: 2.3406e-04 - val_loss: -46.3958 - val_risk_out_loss: -46.3958\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 241us/step - loss: 1.0163e-04 - risk_out_loss: 1.0163e-04 - val_loss: -46.3964 - val_risk_out_loss: -46.3964\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 264us/step - loss: 3.5129e-04 - risk_out_loss: 3.5129e-04 - val_loss: -46.4234 - val_risk_out_loss: -46.4234\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 333us/step - loss: 2.5225e-04 - risk_out_loss: 2.5225e-04 - val_loss: -46.4443 - val_risk_out_loss: -46.4443\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 345us/step - loss: 7.3890e-05 - risk_out_loss: 7.3890e-05 - val_loss: -46.4594 - val_risk_out_loss: -46.4594\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 322us/step - loss: 1.3340e-04 - risk_out_loss: 1.3340e-04 - val_loss: -46.4820 - val_risk_out_loss: -46.4820\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 333us/step - loss: 1.2022e-04 - risk_out_loss: 1.2022e-04 - val_loss: -46.5028 - val_risk_out_loss: -46.5028\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 287us/step - loss: 3.8447e-05 - risk_out_loss: 3.8447e-05 - val_loss: -46.5188 - val_risk_out_loss: -46.5188\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 299us/step - loss: 0.0036 - risk_out_loss: 0.0036 - val_loss: -46.8436 - val_risk_out_loss: -46.8436\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 264us/step - loss: 7.2504e-05 - risk_out_loss: 7.2504e-05 - val_loss: -47.1347 - val_risk_out_loss: -47.1347\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 264us/step - loss: 8.3961e-05 - risk_out_loss: 8.3961e-05 - val_loss: -47.3823 - val_risk_out_loss: -47.3823\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 276us/step - loss: 5.3976e-05 - risk_out_loss: 5.3976e-05 - val_loss: -47.6178 - val_risk_out_loss: -47.6178\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 310us/step - loss: 9.3996e-05 - risk_out_loss: 9.3996e-05 - val_loss: -47.8016 - val_risk_out_loss: -47.8016\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 287us/step - loss: 5.2031e-05 - risk_out_loss: 5.2031e-05 - val_loss: -47.9716 - val_risk_out_loss: -47.9716\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 310us/step - loss: 1.4270e-04 - risk_out_loss: 1.4270e-04 - val_loss: -48.1216 - val_risk_out_loss: -48.1216\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 299us/step - loss: 7.9461e-05 - risk_out_loss: 7.9461e-05 - val_loss: -48.2533 - val_risk_out_loss: -48.2533\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 310us/step - loss: 7.6061e-05 - risk_out_loss: 7.6061e-05 - val_loss: -48.3541 - val_risk_out_loss: -48.3541\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 368us/step - loss: 1.0005e-04 - risk_out_loss: 1.0005e-04 - val_loss: -48.4482 - val_risk_out_loss: -48.4482\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 299us/step - loss: 6.0858e-05 - risk_out_loss: 6.0858e-05 - val_loss: -48.5237 - val_risk_out_loss: -48.5237\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 333us/step - loss: 1.9269e-04 - risk_out_loss: 1.9269e-04 - val_loss: -48.6081 - val_risk_out_loss: -48.6081\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 356us/step - loss: 9.9491e-05 - risk_out_loss: 9.9491e-05 - val_loss: -48.6754 - val_risk_out_loss: -48.6754\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 287us/step - loss: 1.3076e-04 - risk_out_loss: 1.3076e-04 - val_loss: -48.7303 - val_risk_out_loss: -48.7303\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 241us/step - loss: 1.3696e-04 - risk_out_loss: 1.3696e-04 - val_loss: -48.7766 - val_risk_out_loss: -48.7766\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 299us/step - loss: 6.0727e-05 - risk_out_loss: 6.0727e-05 - val_loss: -48.8226 - val_risk_out_loss: -48.8226\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 322us/step - loss: 8.1381e-05 - risk_out_loss: 8.1381e-05 - val_loss: -48.8618 - val_risk_out_loss: -48.8618\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 264us/step - loss: 0.0120 - risk_out_loss: 0.0120 - val_loss: -48.4705 - val_risk_out_loss: -48.4705\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 287us/step - loss: 2.1748e-04 - risk_out_loss: 2.1748e-04 - val_loss: -48.0784 - val_risk_out_loss: -48.0784\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 264us/step - loss: 3.8384e-05 - risk_out_loss: 3.8384e-05 - val_loss: -47.6631 - val_risk_out_loss: -47.6631\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 322us/step - loss: 2.2066e-05 - risk_out_loss: 2.2066e-05 - val_loss: -47.3090 - val_risk_out_loss: -47.3090\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 264us/step - loss: 6.1245e-04 - risk_out_loss: 6.1245e-04 - val_loss: -46.9406 - val_risk_out_loss: -46.9406\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 299us/step - loss: 5.0135e-05 - risk_out_loss: 5.0135e-05 - val_loss: -46.6059 - val_risk_out_loss: -46.6059\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 264us/step - loss: 1.9185e-04 - risk_out_loss: 1.9185e-04 - val_loss: -46.2795 - val_risk_out_loss: -46.2795\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 322us/step - loss: 2.3714e-05 - risk_out_loss: 2.3714e-05 - val_loss: -46.0059 - val_risk_out_loss: -46.0059\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 322us/step - loss: 9.5543e-05 - risk_out_loss: 9.5543e-05 - val_loss: -45.7354 - val_risk_out_loss: -45.7354\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 299us/step - loss: 6.0848e-05 - risk_out_loss: 6.0848e-05 - val_loss: -45.4886 - val_risk_out_loss: -45.4886\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 322us/step - loss: 2.4437e-05 - risk_out_loss: 2.4437e-05 - val_loss: -45.2709 - val_risk_out_loss: -45.2709\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 276us/step - loss: 1.1291e-04 - risk_out_loss: 1.1291e-04 - val_loss: -45.0456 - val_risk_out_loss: -45.0456\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 299us/step - loss: 3.2368e-05 - risk_out_loss: 3.2368e-05 - val_loss: -44.8420 - val_risk_out_loss: -44.8420\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 322us/step - loss: 1.7809e-05 - risk_out_loss: 1.7809e-05 - val_loss: -44.6581 - val_risk_out_loss: -44.6581\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 276us/step - loss: 2.6442e-05 - risk_out_loss: 2.6442e-05 - val_loss: -44.4920 - val_risk_out_loss: -44.4920\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 264us/step - loss: 8.0370e-05 - risk_out_loss: 8.0370e-05 - val_loss: -44.3412 - val_risk_out_loss: -44.3412\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 299us/step - loss: 4.6628e-05 - risk_out_loss: 4.6628e-05 - val_loss: -44.2064 - val_risk_out_loss: -44.2064\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 264us/step - loss: 3.3446e-04 - risk_out_loss: 3.3446e-04 - val_loss: -44.0870 - val_risk_out_loss: -44.0870\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 368us/step - loss: 9.8367e-05 - risk_out_loss: 9.8367e-05 - val_loss: -43.9747 - val_risk_out_loss: -43.9747\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 287us/step - loss: 4.1630e-05 - risk_out_loss: 4.1630e-05 - val_loss: -43.8714 - val_risk_out_loss: -43.8714\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 276us/step - loss: 1.0297e-04 - risk_out_loss: 1.0297e-04 - val_loss: -43.7960 - val_risk_out_loss: -43.7960\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 402us/step - loss: 5.7676e-05 - risk_out_loss: 5.7676e-05 - val_loss: -43.7159 - val_risk_out_loss: -43.7159\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 322us/step - loss: 1.5401e-04 - risk_out_loss: 1.5401e-04 - val_loss: -43.6492 - val_risk_out_loss: -43.6492\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 367us/step - loss: 0.0020 - risk_out_loss: 0.0020 - val_loss: -43.7510 - val_risk_out_loss: -43.7510\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 299us/step - loss: 7.7898e-05 - risk_out_loss: 7.7898e-05 - val_loss: -43.8577 - val_risk_out_loss: -43.8577\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 276us/step - loss: 7.5632e-04 - risk_out_loss: 7.5632e-04 - val_loss: -44.0398 - val_risk_out_loss: -44.0398\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 368us/step - loss: 6.6333e-05 - risk_out_loss: 6.6333e-05 - val_loss: -44.1981 - val_risk_out_loss: -44.1981\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 471us/step - loss: 5.9039e-05 - risk_out_loss: 5.9039e-05 - val_loss: -44.3376 - val_risk_out_loss: -44.3376\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 333us/step - loss: 2.4193e-05 - risk_out_loss: 2.4193e-05 - val_loss: -44.4731 - val_risk_out_loss: -44.4731\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 333us/step - loss: 3.4635e-05 - risk_out_loss: 3.4635e-05 - val_loss: -44.5934 - val_risk_out_loss: -44.5934\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 471us/step - loss: 2.5992e-05 - risk_out_loss: 2.5992e-05 - val_loss: -44.6826 - val_risk_out_loss: -44.6826\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 517us/step - loss: 3.1886e-05 - risk_out_loss: 3.1886e-05 - val_loss: -44.7729 - val_risk_out_loss: -44.7729\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 448us/step - loss: 1.3326e-04 - risk_out_loss: 1.3326e-04 - val_loss: -44.8573 - val_risk_out_loss: -44.8573\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 345us/step - loss: 0.0023 - risk_out_loss: 0.0023 - val_loss: -45.0868 - val_risk_out_loss: -45.0868\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 276us/step - loss: 3.8312e-05 - risk_out_loss: 3.8312e-05 - val_loss: -45.2902 - val_risk_out_loss: -45.2902\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 333us/step - loss: 1.2541e-04 - risk_out_loss: 1.2541e-04 - val_loss: -45.4611 - val_risk_out_loss: -45.4611\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 253us/step - loss: 2.0752e-04 - risk_out_loss: 2.0752e-04 - val_loss: -45.6249 - val_risk_out_loss: -45.6249\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 356us/step - loss: 5.0022e-05 - risk_out_loss: 5.0022e-05 - val_loss: -45.7671 - val_risk_out_loss: -45.7671\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 322us/step - loss: 0.0014 - risk_out_loss: 0.0014 - val_loss: -45.9653 - val_risk_out_loss: -45.9653\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 322us/step - loss: 3.7610e-04 - risk_out_loss: 3.7610e-04 - val_loss: -46.1601 - val_risk_out_loss: -46.1601\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 310us/step - loss: 7.1666e-05 - risk_out_loss: 7.1666e-05 - val_loss: -46.3468 - val_risk_out_loss: -46.3468\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 317us/step - loss: 2.9603e-05 - risk_out_loss: 2.9603e-05 - val_loss: -46.4975 - val_risk_out_loss: -46.4975\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 299us/step - loss: 4.8349e-05 - risk_out_loss: 4.8349e-05 - val_loss: -46.6187 - val_risk_out_loss: -46.6187\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 333us/step - loss: 6.4495e-05 - risk_out_loss: 6.4495e-05 - val_loss: -46.7349 - val_risk_out_loss: -46.7349\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 276us/step - loss: 7.9911e-04 - risk_out_loss: 7.9911e-04 - val_loss: -46.8739 - val_risk_out_loss: -46.8739\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 264us/step - loss: 4.0795e-05 - risk_out_loss: 4.0795e-05 - val_loss: -47.0139 - val_risk_out_loss: -47.0139\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 345us/step - loss: 4.9257e-05 - risk_out_loss: 4.9257e-05 - val_loss: -47.1368 - val_risk_out_loss: -47.1368\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 264us/step - loss: 3.0125e-05 - risk_out_loss: 3.0125e-05 - val_loss: -47.2305 - val_risk_out_loss: -47.2305\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 328us/step - loss: 1.1411e-04 - risk_out_loss: 1.1411e-04 - val_loss: -47.3181 - val_risk_out_loss: -47.3181\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 313us/step - loss: 4.2448e-05 - risk_out_loss: 4.2448e-05 - val_loss: -47.4019 - val_risk_out_loss: -47.4019\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 299us/step - loss: 3.4068e-05 - risk_out_loss: 3.4068e-05 - val_loss: -47.4762 - val_risk_out_loss: -47.4762\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 311us/step - loss: 2.8346e-04 - risk_out_loss: 2.8346e-04 - val_loss: -47.5412 - val_risk_out_loss: -47.5412\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 333us/step - loss: 0.0046 - risk_out_loss: 0.0046 - val_loss: -47.4229 - val_risk_out_loss: -47.4229\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 310us/step - loss: 4.7742e-05 - risk_out_loss: 4.7742e-05 - val_loss: -47.3189 - val_risk_out_loss: -47.3189\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 356us/step - loss: 1.7452e-04 - risk_out_loss: 1.7452e-04 - val_loss: -47.2244 - val_risk_out_loss: -47.2244\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 287us/step - loss: 3.7371e-05 - risk_out_loss: 3.7371e-05 - val_loss: -47.1465 - val_risk_out_loss: -47.1465\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 368us/step - loss: 1.3193e-04 - risk_out_loss: 1.3193e-04 - val_loss: -47.0703 - val_risk_out_loss: -47.0703\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 287us/step - loss: 6.8720e-05 - risk_out_loss: 6.8720e-05 - val_loss: -47.0049 - val_risk_out_loss: -47.0049\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 264us/step - loss: 2.7711e-04 - risk_out_loss: 2.7711e-04 - val_loss: -46.9411 - val_risk_out_loss: -46.9411\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 287us/step - loss: 4.3899e-05 - risk_out_loss: 4.3899e-05 - val_loss: -46.8714 - val_risk_out_loss: -46.8714\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 345us/step - loss: 2.7068e-05 - risk_out_loss: 2.7068e-05 - val_loss: -46.8177 - val_risk_out_loss: -46.8177\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 276us/step - loss: 2.2966e-05 - risk_out_loss: 2.2966e-05 - val_loss: -46.7709 - val_risk_out_loss: -46.7709\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 314us/step - loss: 2.1937e-05 - risk_out_loss: 2.1937e-05 - val_loss: -46.7276 - val_risk_out_loss: -46.7276\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 310us/step - loss: 2.1498e-05 - risk_out_loss: 2.1498e-05 - val_loss: -46.6779 - val_risk_out_loss: -46.6779\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 290us/step - loss: 4.3855e-04 - risk_out_loss: 4.3855e-04 - val_loss: -46.6883 - val_risk_out_loss: -46.6883\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 391us/step - loss: 1.2910e-04 - risk_out_loss: 1.2910e-04 - val_loss: -46.7047 - val_risk_out_loss: -46.7047\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 414us/step - loss: 4.3553e-05 - risk_out_loss: 4.3553e-05 - val_loss: -46.7130 - val_risk_out_loss: -46.7130\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 337us/step - loss: 3.1755e-05 - risk_out_loss: 3.1755e-05 - val_loss: -46.7217 - val_risk_out_loss: -46.7217\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 333us/step - loss: 8.2350e-06 - risk_out_loss: 8.2350e-06 - val_loss: -46.7316 - val_risk_out_loss: -46.7316\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 333us/step - loss: 4.0882e-05 - risk_out_loss: 4.0882e-05 - val_loss: -46.7424 - val_risk_out_loss: -46.7424\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 264us/step - loss: 1.1444e-04 - risk_out_loss: 1.1444e-04 - val_loss: -46.7516 - val_risk_out_loss: -46.7516\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 287us/step - loss: 2.7302e-05 - risk_out_loss: 2.7302e-05 - val_loss: -46.7714 - val_risk_out_loss: -46.7714\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 276us/step - loss: 1.6114e-04 - risk_out_loss: 1.6114e-04 - val_loss: -46.7855 - val_risk_out_loss: -46.7855\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 287us/step - loss: 0.0016 - risk_out_loss: 0.0016 - val_loss: -46.9171 - val_risk_out_loss: -46.9171\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 345us/step - loss: 3.4342e-05 - risk_out_loss: 3.4342e-05 - val_loss: -47.0449 - val_risk_out_loss: -47.0449\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 299us/step - loss: 4.4052e-05 - risk_out_loss: 4.4052e-05 - val_loss: -47.1342 - val_risk_out_loss: -47.1342\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 264us/step - loss: 1.1276e-04 - risk_out_loss: 1.1276e-04 - val_loss: -47.2280 - val_risk_out_loss: -47.2280\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 276us/step - loss: 4.0825e-05 - risk_out_loss: 4.0825e-05 - val_loss: -47.3093 - val_risk_out_loss: -47.3093\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 368us/step - loss: 0.0019 - risk_out_loss: 0.0019 - val_loss: -47.4972 - val_risk_out_loss: -47.4972\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 253us/step - loss: 3.8521e-05 - risk_out_loss: 3.8521e-05 - val_loss: -47.6793 - val_risk_out_loss: -47.6793\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 322us/step - loss: 4.7159e-05 - risk_out_loss: 4.7159e-05 - val_loss: -47.8266 - val_risk_out_loss: -47.8266\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 310us/step - loss: 0.0011 - risk_out_loss: 0.0011 - val_loss: -47.9557 - val_risk_out_loss: -47.9557\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 322us/step - loss: 1.4523e-04 - risk_out_loss: 1.4523e-04 - val_loss: -48.0687 - val_risk_out_loss: -48.0687\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 276us/step - loss: 5.8010e-05 - risk_out_loss: 5.8010e-05 - val_loss: -48.1914 - val_risk_out_loss: -48.1914\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 276us/step - loss: 2.1994e-05 - risk_out_loss: 2.1994e-05 - val_loss: -48.2914 - val_risk_out_loss: -48.2914\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 322us/step - loss: 3.8806e-05 - risk_out_loss: 3.8806e-05 - val_loss: -48.3553 - val_risk_out_loss: -48.3553\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 287us/step - loss: 2.6603e-05 - risk_out_loss: 2.6603e-05 - val_loss: -48.4335 - val_risk_out_loss: -48.4335\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 264us/step - loss: 5.3036e-05 - risk_out_loss: 5.3036e-05 - val_loss: -48.5037 - val_risk_out_loss: -48.5037\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 299us/step - loss: 0.0303 - risk_out_loss: 0.0303 - val_loss: -47.8737 - val_risk_out_loss: -47.8737\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 264us/step - loss: 1.7872e-05 - risk_out_loss: 1.7872e-05 - val_loss: -47.2300 - val_risk_out_loss: -47.2300\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 241us/step - loss: 0.0015 - risk_out_loss: 0.0015 - val_loss: -46.7129 - val_risk_out_loss: -46.7129\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 276us/step - loss: 7.1455e-05 - risk_out_loss: 7.1455e-05 - val_loss: -46.1899 - val_risk_out_loss: -46.1899\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 264us/step - loss: 2.0852e-05 - risk_out_loss: 2.0852e-05 - val_loss: -45.7116 - val_risk_out_loss: -45.7116\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 276us/step - loss: 1.5103e-05 - risk_out_loss: 1.5103e-05 - val_loss: -45.2341 - val_risk_out_loss: -45.2341\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 310us/step - loss: 2.1552e-04 - risk_out_loss: 2.1552e-04 - val_loss: -44.8054 - val_risk_out_loss: -44.8054\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 345us/step - loss: 1.9639e-04 - risk_out_loss: 1.9639e-04 - val_loss: -44.4558 - val_risk_out_loss: -44.4558\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 264us/step - loss: 4.8020e-05 - risk_out_loss: 4.8020e-05 - val_loss: -44.0981 - val_risk_out_loss: -44.0981\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 264us/step - loss: 3.1926e-05 - risk_out_loss: 3.1926e-05 - val_loss: -43.7753 - val_risk_out_loss: -43.7753\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 276us/step - loss: 0.0043 - risk_out_loss: 0.0043 - val_loss: -43.7326 - val_risk_out_loss: -43.7326\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 287us/step - loss: 2.2654e-05 - risk_out_loss: 2.2654e-05 - val_loss: -43.6924 - val_risk_out_loss: -43.6924\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 264us/step - loss: 0.0031 - risk_out_loss: 0.0031 - val_loss: -44.0551 - val_risk_out_loss: -44.0551\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 345us/step - loss: 3.4551e-05 - risk_out_loss: 3.4551e-05 - val_loss: -44.3784 - val_risk_out_loss: -44.3784\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 253us/step - loss: 1.0611e-05 - risk_out_loss: 1.0611e-05 - val_loss: -44.6379 - val_risk_out_loss: -44.6379\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 333us/step - loss: 2.4790e-05 - risk_out_loss: 2.4790e-05 - val_loss: -44.8833 - val_risk_out_loss: -44.8833\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 310us/step - loss: 3.8402e-05 - risk_out_loss: 3.8402e-05 - val_loss: -45.0885 - val_risk_out_loss: -45.0885\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 299us/step - loss: 1.5732e-05 - risk_out_loss: 1.5732e-05 - val_loss: -45.2646 - val_risk_out_loss: -45.2646\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 345us/step - loss: 6.9857e-05 - risk_out_loss: 6.9857e-05 - val_loss: -45.4297 - val_risk_out_loss: -45.4297\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 299us/step - loss: 5.0556e-05 - risk_out_loss: 5.0556e-05 - val_loss: -45.5915 - val_risk_out_loss: -45.5915\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 322us/step - loss: 6.0576e-05 - risk_out_loss: 6.0576e-05 - val_loss: -45.7186 - val_risk_out_loss: -45.7186\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 299us/step - loss: 2.8971e-05 - risk_out_loss: 2.8971e-05 - val_loss: -45.8469 - val_risk_out_loss: -45.8469\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 264us/step - loss: 5.4995e-05 - risk_out_loss: 5.4995e-05 - val_loss: -45.9526 - val_risk_out_loss: -45.9526\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 322us/step - loss: 9.5884e-05 - risk_out_loss: 9.5884e-05 - val_loss: -46.0372 - val_risk_out_loss: -46.0372\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 310us/step - loss: 4.6868e-05 - risk_out_loss: 4.6868e-05 - val_loss: -46.1325 - val_risk_out_loss: -46.1325\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 287us/step - loss: 4.9900e-05 - risk_out_loss: 4.9900e-05 - val_loss: -46.2066 - val_risk_out_loss: -46.2066\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 276us/step - loss: 6.1564e-05 - risk_out_loss: 6.1564e-05 - val_loss: -46.2698 - val_risk_out_loss: -46.2698\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 276us/step - loss: 6.9421e-05 - risk_out_loss: 6.9421e-05 - val_loss: -46.3198 - val_risk_out_loss: -46.3198\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 276us/step - loss: 3.6990e-04 - risk_out_loss: 3.6990e-04 - val_loss: -46.4080 - val_risk_out_loss: -46.4080\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 276us/step - loss: 2.7340e-05 - risk_out_loss: 2.7340e-05 - val_loss: -46.4993 - val_risk_out_loss: -46.4993\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 264us/step - loss: 4.9152e-05 - risk_out_loss: 4.9152e-05 - val_loss: -46.5798 - val_risk_out_loss: -46.5798\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 287us/step - loss: 2.8407e-05 - risk_out_loss: 2.8407e-05 - val_loss: -46.6425 - val_risk_out_loss: -46.6425\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 310us/step - loss: 3.7268e-05 - risk_out_loss: 3.7268e-05 - val_loss: -46.6957 - val_risk_out_loss: -46.6957\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 276us/step - loss: 6.2607e-05 - risk_out_loss: 6.2607e-05 - val_loss: -46.7600 - val_risk_out_loss: -46.7600\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 276us/step - loss: 5.6566e-05 - risk_out_loss: 5.6566e-05 - val_loss: -46.8100 - val_risk_out_loss: -46.8100\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 322us/step - loss: 7.7790e-05 - risk_out_loss: 7.7790e-05 - val_loss: -46.8521 - val_risk_out_loss: -46.8521\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 310us/step - loss: 2.9094e-04 - risk_out_loss: 2.9094e-04 - val_loss: -46.9218 - val_risk_out_loss: -46.9218\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 333us/step - loss: 9.6760e-05 - risk_out_loss: 9.6760e-05 - val_loss: -46.9860 - val_risk_out_loss: -46.9860\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 287us/step - loss: 4.4398e-05 - risk_out_loss: 4.4398e-05 - val_loss: -47.0383 - val_risk_out_loss: -47.0383\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 299us/step - loss: 4.8314e-05 - risk_out_loss: 4.8314e-05 - val_loss: -47.0853 - val_risk_out_loss: -47.0853\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 310us/step - loss: 4.4453e-05 - risk_out_loss: 4.4453e-05 - val_loss: -47.1258 - val_risk_out_loss: -47.1258\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 299us/step - loss: 2.6966e-05 - risk_out_loss: 2.6966e-05 - val_loss: -47.1630 - val_risk_out_loss: -47.1630\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 264us/step - loss: 2.3847e-05 - risk_out_loss: 2.3847e-05 - val_loss: -47.1960 - val_risk_out_loss: -47.1960\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 299us/step - loss: 4.2278e-05 - risk_out_loss: 4.2278e-05 - val_loss: -47.2377 - val_risk_out_loss: -47.2377\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 276us/step - loss: 2.8221e-04 - risk_out_loss: 2.8221e-04 - val_loss: -47.2818 - val_risk_out_loss: -47.2818\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 299us/step - loss: 4.7388e-04 - risk_out_loss: 4.7388e-04 - val_loss: -47.3590 - val_risk_out_loss: -47.3590\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 413us/step - loss: 8.5461e-05 - risk_out_loss: 8.5461e-05 - val_loss: -47.4336 - val_risk_out_loss: -47.4336\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 287us/step - loss: 3.2470e-05 - risk_out_loss: 3.2470e-05 - val_loss: -47.4983 - val_risk_out_loss: -47.4983\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 356us/step - loss: 2.8791e-05 - risk_out_loss: 2.8791e-05 - val_loss: -47.5655 - val_risk_out_loss: -47.5655\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 299us/step - loss: 4.1202e-05 - risk_out_loss: 4.1202e-05 - val_loss: -47.6255 - val_risk_out_loss: -47.6255\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 287us/step - loss: 2.5453e-04 - risk_out_loss: 2.5453e-04 - val_loss: -47.6735 - val_risk_out_loss: -47.6735\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 253us/step - loss: 9.0433e-05 - risk_out_loss: 9.0433e-05 - val_loss: -47.7245 - val_risk_out_loss: -47.7245\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 322us/step - loss: 7.4218e-05 - risk_out_loss: 7.4218e-05 - val_loss: -47.7623 - val_risk_out_loss: -47.7623\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 333us/step - loss: 6.5073e-05 - risk_out_loss: 6.5073e-05 - val_loss: -47.7973 - val_risk_out_loss: -47.7973\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 333us/step - loss: 0.0076 - risk_out_loss: 0.0076 - val_loss: -48.1910 - val_risk_out_loss: -48.1910\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 345us/step - loss: 6.5865e-05 - risk_out_loss: 6.5865e-05 - val_loss: -48.4923 - val_risk_out_loss: -48.4923\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 287us/step - loss: 7.0219e-05 - risk_out_loss: 7.0219e-05 - val_loss: -48.8019 - val_risk_out_loss: -48.8019\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 299us/step - loss: 5.4855e-05 - risk_out_loss: 5.4855e-05 - val_loss: -49.0371 - val_risk_out_loss: -49.0371\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 322us/step - loss: 0.0198 - risk_out_loss: 0.0198 - val_loss: -48.8579 - val_risk_out_loss: -48.8579\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 345us/step - loss: 4.5662e-05 - risk_out_loss: 4.5662e-05 - val_loss: -48.7206 - val_risk_out_loss: -48.7206\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 264us/step - loss: 2.7678e-05 - risk_out_loss: 2.7678e-05 - val_loss: -48.5847 - val_risk_out_loss: -48.5847\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 287us/step - loss: 1.8852e-04 - risk_out_loss: 1.8852e-04 - val_loss: -48.4582 - val_risk_out_loss: -48.4582\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 379us/step - loss: 6.5554e-05 - risk_out_loss: 6.5554e-05 - val_loss: -48.3130 - val_risk_out_loss: -48.3130\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 287us/step - loss: 4.6322e-05 - risk_out_loss: 4.6322e-05 - val_loss: -48.2134 - val_risk_out_loss: -48.2134\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 287us/step - loss: 3.0072e-05 - risk_out_loss: 3.0072e-05 - val_loss: -48.1165 - val_risk_out_loss: -48.1165\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 287us/step - loss: 5.5105e-05 - risk_out_loss: 5.5105e-05 - val_loss: -48.0130 - val_risk_out_loss: -48.0130\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 276us/step - loss: 4.6423e-05 - risk_out_loss: 4.6423e-05 - val_loss: -47.9359 - val_risk_out_loss: -47.9359\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 287us/step - loss: 1.6658e-05 - risk_out_loss: 1.6658e-05 - val_loss: -47.8535 - val_risk_out_loss: -47.8535\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 333us/step - loss: 9.5053e-05 - risk_out_loss: 9.5053e-05 - val_loss: -47.7859 - val_risk_out_loss: -47.7859\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 322us/step - loss: 9.5280e-05 - risk_out_loss: 9.5280e-05 - val_loss: -47.7283 - val_risk_out_loss: -47.7283\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 287us/step - loss: 0.0077 - risk_out_loss: 0.0077 - val_loss: -48.1740 - val_risk_out_loss: -48.1740\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 310us/step - loss: 2.6249e-05 - risk_out_loss: 2.6249e-05 - val_loss: -48.5306 - val_risk_out_loss: -48.5306\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 310us/step - loss: 8.6411e-05 - risk_out_loss: 8.6411e-05 - val_loss: -48.8279 - val_risk_out_loss: -48.8279\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 287us/step - loss: 2.6732e-05 - risk_out_loss: 2.6732e-05 - val_loss: -49.0805 - val_risk_out_loss: -49.0805\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 310us/step - loss: 1.7309e-05 - risk_out_loss: 1.7309e-05 - val_loss: -49.2863 - val_risk_out_loss: -49.2863\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 345us/step - loss: 0.0027 - risk_out_loss: 0.0027 - val_loss: -49.3954 - val_risk_out_loss: -49.3954\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 299us/step - loss: 1.8857e-04 - risk_out_loss: 1.8857e-04 - val_loss: -49.5362 - val_risk_out_loss: -49.5362\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 368us/step - loss: 1.7984e-04 - risk_out_loss: 1.7984e-04 - val_loss: -49.6516 - val_risk_out_loss: -49.6516\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 310us/step - loss: 5.7376e-05 - risk_out_loss: 5.7376e-05 - val_loss: -49.7325 - val_risk_out_loss: -49.7325\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 310us/step - loss: 7.8746e-04 - risk_out_loss: 7.8746e-04 - val_loss: -49.7766 - val_risk_out_loss: -49.7766\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 345us/step - loss: 9.5135e-05 - risk_out_loss: 9.5135e-05 - val_loss: -49.8109 - val_risk_out_loss: -49.8109\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 310us/step - loss: 5.5290e-05 - risk_out_loss: 5.5290e-05 - val_loss: -49.8372 - val_risk_out_loss: -49.8372\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 379us/step - loss: 5.0431e-05 - risk_out_loss: 5.0431e-05 - val_loss: -49.8583 - val_risk_out_loss: -49.8583\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 299us/step - loss: 5.5759e-05 - risk_out_loss: 5.5759e-05 - val_loss: -49.8880 - val_risk_out_loss: -49.8880\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 287us/step - loss: 1.1428e-04 - risk_out_loss: 1.1428e-04 - val_loss: -49.9054 - val_risk_out_loss: -49.9054\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 287us/step - loss: 5.0326e-05 - risk_out_loss: 5.0326e-05 - val_loss: -49.9319 - val_risk_out_loss: -49.9319\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 276us/step - loss: 6.2988e-05 - risk_out_loss: 6.2988e-05 - val_loss: -49.9432 - val_risk_out_loss: -49.9432\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 299us/step - loss: 2.4553e-05 - risk_out_loss: 2.4553e-05 - val_loss: -49.9519 - val_risk_out_loss: -49.9519\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 333us/step - loss: 4.1867e-04 - risk_out_loss: 4.1867e-04 - val_loss: -49.9648 - val_risk_out_loss: -49.9648\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 299us/step - loss: 3.1249e-05 - risk_out_loss: 3.1249e-05 - val_loss: -49.9765 - val_risk_out_loss: -49.9765\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 310us/step - loss: 6.7677e-05 - risk_out_loss: 6.7677e-05 - val_loss: -49.9789 - val_risk_out_loss: -49.9789\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 276us/step - loss: 5.1720e-05 - risk_out_loss: 5.1720e-05 - val_loss: -49.9877 - val_risk_out_loss: -49.9877\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 287us/step - loss: 1.0437e-04 - risk_out_loss: 1.0437e-04 - val_loss: -49.9894 - val_risk_out_loss: -49.9894\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 345us/step - loss: 2.0929e-05 - risk_out_loss: 2.0929e-05 - val_loss: -50.0006 - val_risk_out_loss: -50.0006\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 299us/step - loss: 3.2170e-05 - risk_out_loss: 3.2170e-05 - val_loss: -50.0027 - val_risk_out_loss: -50.0027\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 287us/step - loss: 6.1203e-05 - risk_out_loss: 6.1203e-05 - val_loss: -50.0039 - val_risk_out_loss: -50.0039\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 287us/step - loss: 4.4958e-05 - risk_out_loss: 4.4958e-05 - val_loss: -50.0041 - val_risk_out_loss: -50.0041\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 310us/step - loss: 3.0422e-04 - risk_out_loss: 3.0422e-04 - val_loss: -49.9990 - val_risk_out_loss: -49.9990\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 322us/step - loss: 4.9099e-05 - risk_out_loss: 4.9099e-05 - val_loss: -49.9958 - val_risk_out_loss: -49.9958\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 276us/step - loss: 1.4149e-04 - risk_out_loss: 1.4149e-04 - val_loss: -49.9887 - val_risk_out_loss: -49.9887\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 287us/step - loss: 4.1570e-05 - risk_out_loss: 4.1570e-05 - val_loss: -49.9837 - val_risk_out_loss: -49.9837\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 299us/step - loss: 1.0211e-04 - risk_out_loss: 1.0211e-04 - val_loss: -49.9806 - val_risk_out_loss: -49.9806\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 333us/step - loss: 5.5864e-05 - risk_out_loss: 5.5864e-05 - val_loss: -49.9780 - val_risk_out_loss: -49.9780\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 299us/step - loss: 1.6043e-05 - risk_out_loss: 1.6043e-05 - val_loss: -49.9706 - val_risk_out_loss: -49.9706\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 299us/step - loss: 2.5741e-05 - risk_out_loss: 2.5741e-05 - val_loss: -49.9691 - val_risk_out_loss: -49.9691\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 310us/step - loss: 4.3594e-05 - risk_out_loss: 4.3594e-05 - val_loss: -49.9675 - val_risk_out_loss: -49.9675\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 299us/step - loss: 6.7104e-05 - risk_out_loss: 6.7104e-05 - val_loss: -49.9659 - val_risk_out_loss: -49.9659\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 310us/step - loss: 4.5670e-05 - risk_out_loss: 4.5670e-05 - val_loss: -49.9633 - val_risk_out_loss: -49.9633\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 322us/step - loss: 5.9315e-04 - risk_out_loss: 5.9315e-04 - val_loss: -49.9870 - val_risk_out_loss: -49.9870\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 310us/step - loss: 2.0237e-05 - risk_out_loss: 2.0237e-05 - val_loss: -50.0025 - val_risk_out_loss: -50.0025\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 276us/step - loss: 4.9296e-05 - risk_out_loss: 4.9296e-05 - val_loss: -50.0315 - val_risk_out_loss: -50.0315\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 310us/step - loss: 3.1200e-05 - risk_out_loss: 3.1200e-05 - val_loss: -50.0538 - val_risk_out_loss: -50.0538\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 345us/step - loss: 7.4853e-05 - risk_out_loss: 7.4853e-05 - val_loss: -50.0686 - val_risk_out_loss: -50.0686\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 345us/step - loss: 6.1860e-06 - risk_out_loss: 6.1860e-06 - val_loss: -50.0825 - val_risk_out_loss: -50.0825\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 310us/step - loss: 2.0151e-05 - risk_out_loss: 2.0151e-05 - val_loss: -50.0951 - val_risk_out_loss: -50.0951\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 322us/step - loss: 2.2942e-05 - risk_out_loss: 2.2942e-05 - val_loss: -50.1063 - val_risk_out_loss: -50.1063\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 287us/step - loss: 2.5664e-05 - risk_out_loss: 2.5664e-05 - val_loss: -50.1210 - val_risk_out_loss: -50.1210\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 264us/step - loss: 1.4846e-04 - risk_out_loss: 1.4846e-04 - val_loss: -50.1260 - val_risk_out_loss: -50.1260\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 299us/step - loss: 2.9502e-05 - risk_out_loss: 2.9502e-05 - val_loss: -50.1317 - val_risk_out_loss: -50.1317\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 287us/step - loss: 0.0065 - risk_out_loss: 0.0065 - val_loss: -49.9927 - val_risk_out_loss: -49.9927\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 299us/step - loss: 9.6220e-06 - risk_out_loss: 9.6220e-06 - val_loss: -49.8794 - val_risk_out_loss: -49.8794\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 345us/step - loss: 3.6062e-05 - risk_out_loss: 3.6062e-05 - val_loss: -49.7441 - val_risk_out_loss: -49.7441\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 264us/step - loss: 4.7353e-05 - risk_out_loss: 4.7353e-05 - val_loss: -49.6264 - val_risk_out_loss: -49.6264\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 333us/step - loss: 2.6833e-04 - risk_out_loss: 2.6833e-04 - val_loss: -49.5171 - val_risk_out_loss: -49.5171\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 276us/step - loss: 9.8125e-05 - risk_out_loss: 9.8125e-05 - val_loss: -49.4204 - val_risk_out_loss: -49.4204\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 333us/step - loss: 1.2838e-04 - risk_out_loss: 1.2838e-04 - val_loss: -49.3180 - val_risk_out_loss: -49.3180\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 299us/step - loss: 1.5197e-05 - risk_out_loss: 1.5197e-05 - val_loss: -49.2321 - val_risk_out_loss: -49.2321\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "85/85 [==============================] - 0s 368us/step - loss: 2.4670e-05 - risk_out_loss: 2.4670e-05 - val_loss: -49.1480 - val_risk_out_loss: -49.1480\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 299us/step - loss: 1.1361e-04 - risk_out_loss: 1.1361e-04 - val_loss: -49.0751 - val_risk_out_loss: -49.0751\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 299us/step - loss: 2.7259e-05 - risk_out_loss: 2.7259e-05 - val_loss: -48.9955 - val_risk_out_loss: -48.9955\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 287us/step - loss: 4.2105e-05 - risk_out_loss: 4.2105e-05 - val_loss: -48.9285 - val_risk_out_loss: -48.9285\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 310us/step - loss: 1.4640e-05 - risk_out_loss: 1.4640e-05 - val_loss: -48.8767 - val_risk_out_loss: -48.8767\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 299us/step - loss: 7.2899e-04 - risk_out_loss: 7.2899e-04 - val_loss: -48.8821 - val_risk_out_loss: -48.8821\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 264us/step - loss: 7.6456e-04 - risk_out_loss: 7.6456e-04 - val_loss: -48.9269 - val_risk_out_loss: -48.9269\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 287us/step - loss: 3.4522e-05 - risk_out_loss: 3.4522e-05 - val_loss: -48.9704 - val_risk_out_loss: -48.9704\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 345us/step - loss: 4.8492e-05 - risk_out_loss: 4.8492e-05 - val_loss: -48.9966 - val_risk_out_loss: -48.9966\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 264us/step - loss: 2.9745e-05 - risk_out_loss: 2.9745e-05 - val_loss: -49.0332 - val_risk_out_loss: -49.0332\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 287us/step - loss: 3.2276e-05 - risk_out_loss: 3.2276e-05 - val_loss: -49.0574 - val_risk_out_loss: -49.0574\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 333us/step - loss: 3.2809e-05 - risk_out_loss: 3.2809e-05 - val_loss: -49.0932 - val_risk_out_loss: -49.0932\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 276us/step - loss: 9.4577e-05 - risk_out_loss: 9.4577e-05 - val_loss: -49.1115 - val_risk_out_loss: -49.1115\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 299us/step - loss: 0.0338 - risk_out_loss: 0.0338 - val_loss: -48.5468 - val_risk_out_loss: -48.5468\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 299us/step - loss: 2.3514e-05 - risk_out_loss: 2.3514e-05 - val_loss: -47.9641 - val_risk_out_loss: -47.9641\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 299us/step - loss: 1.1972e-05 - risk_out_loss: 1.1972e-05 - val_loss: -47.3589 - val_risk_out_loss: -47.3589\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 276us/step - loss: 1.1419e-05 - risk_out_loss: 1.1419e-05 - val_loss: -46.7554 - val_risk_out_loss: -46.7554\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 310us/step - loss: 1.1402e-05 - risk_out_loss: 1.1402e-05 - val_loss: -46.1721 - val_risk_out_loss: -46.1721\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 264us/step - loss: 1.2404e-05 - risk_out_loss: 1.2404e-05 - val_loss: -45.6100 - val_risk_out_loss: -45.6100\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 287us/step - loss: 1.6095e-05 - risk_out_loss: 1.6095e-05 - val_loss: -45.0642 - val_risk_out_loss: -45.0642\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 287us/step - loss: 8.9369e-06 - risk_out_loss: 8.9369e-06 - val_loss: -44.5145 - val_risk_out_loss: -44.5145\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 299us/step - loss: 8.3762e-05 - risk_out_loss: 8.3762e-05 - val_loss: -44.0028 - val_risk_out_loss: -44.0028\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 287us/step - loss: 1.3998e-05 - risk_out_loss: 1.3998e-05 - val_loss: -43.4896 - val_risk_out_loss: -43.4896\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 276us/step - loss: 6.6933e-05 - risk_out_loss: 6.6933e-05 - val_loss: -43.0299 - val_risk_out_loss: -43.0299\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 310us/step - loss: 2.5529e-05 - risk_out_loss: 2.5529e-05 - val_loss: -42.6011 - val_risk_out_loss: -42.6011\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 333us/step - loss: 2.0320e-04 - risk_out_loss: 2.0320e-04 - val_loss: -42.2158 - val_risk_out_loss: -42.2158\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 310us/step - loss: 3.9073e-05 - risk_out_loss: 3.9073e-05 - val_loss: -41.8789 - val_risk_out_loss: -41.8789\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 287us/step - loss: 1.4903e-05 - risk_out_loss: 1.4903e-05 - val_loss: -41.5734 - val_risk_out_loss: -41.5734\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 299us/step - loss: 6.4646e-05 - risk_out_loss: 6.4646e-05 - val_loss: -41.2855 - val_risk_out_loss: -41.2855\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 299us/step - loss: 0.0047 - risk_out_loss: 0.0047 - val_loss: -41.7588 - val_risk_out_loss: -41.7588\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 310us/step - loss: 2.9454e-04 - risk_out_loss: 2.9454e-04 - val_loss: -42.2178 - val_risk_out_loss: -42.2178\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 310us/step - loss: 4.4776e-04 - risk_out_loss: 4.4776e-04 - val_loss: -42.6720 - val_risk_out_loss: -42.6720\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 379us/step - loss: 2.5813e-05 - risk_out_loss: 2.5813e-05 - val_loss: -43.0707 - val_risk_out_loss: -43.0707\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 287us/step - loss: 3.8473e-05 - risk_out_loss: 3.8473e-05 - val_loss: -43.4116 - val_risk_out_loss: -43.4116\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 368us/step - loss: 1.2345e-05 - risk_out_loss: 1.2345e-05 - val_loss: -43.7275 - val_risk_out_loss: -43.7275\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 322us/step - loss: 0.0038 - risk_out_loss: 0.0038 - val_loss: -44.3450 - val_risk_out_loss: -44.3450\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 368us/step - loss: 0.0371 - risk_out_loss: 0.0371 - val_loss: -46.3676 - val_risk_out_loss: -46.3676\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 368us/step - loss: 1.3715e-04 - risk_out_loss: 1.3715e-04 - val_loss: -47.8112 - val_risk_out_loss: -47.8112\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 391us/step - loss: 9.9157e-06 - risk_out_loss: 9.9157e-06 - val_loss: -48.8879 - val_risk_out_loss: -48.8879\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 402us/step - loss: 9.3782e-04 - risk_out_loss: 9.3782e-04 - val_loss: -49.7657 - val_risk_out_loss: -49.7657\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 333us/step - loss: 0.0190 - risk_out_loss: 0.0190 - val_loss: -50.1147 - val_risk_out_loss: -50.1147\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 356us/step - loss: 2.2255e-05 - risk_out_loss: 2.2255e-05 - val_loss: -50.4034 - val_risk_out_loss: -50.4034\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 264us/step - loss: 7.7355e-05 - risk_out_loss: 7.7355e-05 - val_loss: -50.6418 - val_risk_out_loss: -50.6418\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 253us/step - loss: 5.3780e-04 - risk_out_loss: 5.3780e-04 - val_loss: -50.8494 - val_risk_out_loss: -50.8494\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 264us/step - loss: 6.2890e-05 - risk_out_loss: 6.2890e-05 - val_loss: -51.0058 - val_risk_out_loss: -51.0058\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 299us/step - loss: 0.0231 - risk_out_loss: 0.0231 - val_loss: -50.6769 - val_risk_out_loss: -50.6769\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 276us/step - loss: 6.4792e-05 - risk_out_loss: 6.4792e-05 - val_loss: -50.3342 - val_risk_out_loss: -50.3342\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 287us/step - loss: 1.1199e-04 - risk_out_loss: 1.1199e-04 - val_loss: -50.0349 - val_risk_out_loss: -50.0349\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 276us/step - loss: 6.7381e-04 - risk_out_loss: 6.7381e-04 - val_loss: -49.6985 - val_risk_out_loss: -49.6985\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 299us/step - loss: 5.0233e-05 - risk_out_loss: 5.0233e-05 - val_loss: -49.3625 - val_risk_out_loss: -49.3625\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 310us/step - loss: 2.9911e-05 - risk_out_loss: 2.9911e-05 - val_loss: -49.0445 - val_risk_out_loss: -49.0445\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 264us/step - loss: 1.4730e-05 - risk_out_loss: 1.4730e-05 - val_loss: -48.7005 - val_risk_out_loss: -48.7005\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 299us/step - loss: 2.3223e-05 - risk_out_loss: 2.3223e-05 - val_loss: -48.4315 - val_risk_out_loss: -48.4315\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 287us/step - loss: 8.9694e-05 - risk_out_loss: 8.9694e-05 - val_loss: -48.1334 - val_risk_out_loss: -48.1334\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 299us/step - loss: 1.2140e-04 - risk_out_loss: 1.2140e-04 - val_loss: -47.8804 - val_risk_out_loss: -47.8804\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 287us/step - loss: 3.5160e-05 - risk_out_loss: 3.5160e-05 - val_loss: -47.6539 - val_risk_out_loss: -47.6539\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 299us/step - loss: 1.8692e-04 - risk_out_loss: 1.8692e-04 - val_loss: -47.4374 - val_risk_out_loss: -47.4374\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 253us/step - loss: 9.3269e-06 - risk_out_loss: 9.3269e-06 - val_loss: -47.2372 - val_risk_out_loss: -47.2372\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 253us/step - loss: 2.1755e-05 - risk_out_loss: 2.1755e-05 - val_loss: -47.0654 - val_risk_out_loss: -47.0654\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 287us/step - loss: 1.8353e-05 - risk_out_loss: 1.8353e-05 - val_loss: -46.9010 - val_risk_out_loss: -46.9010\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 299us/step - loss: 8.2568e-05 - risk_out_loss: 8.2568e-05 - val_loss: -46.7620 - val_risk_out_loss: -46.7620\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 310us/step - loss: 9.4131e-05 - risk_out_loss: 9.4131e-05 - val_loss: -46.6405 - val_risk_out_loss: -46.6405\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 333us/step - loss: 0.0036 - risk_out_loss: 0.0036 - val_loss: -46.7617 - val_risk_out_loss: -46.7617\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 299us/step - loss: 0.0094 - risk_out_loss: 0.0094 - val_loss: -47.4289 - val_risk_out_loss: -47.4289\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 299us/step - loss: 2.4753e-05 - risk_out_loss: 2.4753e-05 - val_loss: -48.0092 - val_risk_out_loss: -48.0092\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 287us/step - loss: 3.1449e-04 - risk_out_loss: 3.1449e-04 - val_loss: -48.4943 - val_risk_out_loss: -48.4943\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 310us/step - loss: 2.3936e-05 - risk_out_loss: 2.3936e-05 - val_loss: -48.9020 - val_risk_out_loss: -48.9020\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 299us/step - loss: 1.2701e-04 - risk_out_loss: 1.2701e-04 - val_loss: -49.2284 - val_risk_out_loss: -49.2284\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 517us/step - loss: 6.5038e-05 - risk_out_loss: 6.5038e-05 - val_loss: -49.4881 - val_risk_out_loss: -49.4881\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 333us/step - loss: 2.9337e-05 - risk_out_loss: 2.9337e-05 - val_loss: -49.7266 - val_risk_out_loss: -49.7266\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 333us/step - loss: 3.2679e-05 - risk_out_loss: 3.2679e-05 - val_loss: -49.9320 - val_risk_out_loss: -49.9320\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 310us/step - loss: 1.8809e-04 - risk_out_loss: 1.8809e-04 - val_loss: -50.0864 - val_risk_out_loss: -50.0864\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 276us/step - loss: 4.4128e-05 - risk_out_loss: 4.4128e-05 - val_loss: -50.2238 - val_risk_out_loss: -50.2238\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 379us/step - loss: 1.2990e-04 - risk_out_loss: 1.2990e-04 - val_loss: -50.3370 - val_risk_out_loss: -50.3370\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 299us/step - loss: 6.8380e-05 - risk_out_loss: 6.8380e-05 - val_loss: -50.4465 - val_risk_out_loss: -50.4465\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 276us/step - loss: 1.0797e-04 - risk_out_loss: 1.0797e-04 - val_loss: -50.5201 - val_risk_out_loss: -50.5201\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 276us/step - loss: 5.3682e-05 - risk_out_loss: 5.3682e-05 - val_loss: -50.6017 - val_risk_out_loss: -50.6017\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 310us/step - loss: 0.0070 - risk_out_loss: 0.0070 - val_loss: -50.5079 - val_risk_out_loss: -50.5079\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 333us/step - loss: 8.6423e-04 - risk_out_loss: 8.6423e-04 - val_loss: -50.3887 - val_risk_out_loss: -50.3887\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 356us/step - loss: 4.6385e-05 - risk_out_loss: 4.6385e-05 - val_loss: -50.2850 - val_risk_out_loss: -50.2850\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 310us/step - loss: 2.7909e-05 - risk_out_loss: 2.7909e-05 - val_loss: -50.1821 - val_risk_out_loss: -50.1821\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 367us/step - loss: 0.0176 - risk_out_loss: 0.0176 - val_loss: -49.6968 - val_risk_out_loss: -49.6968\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 367us/step - loss: 2.8767e-04 - risk_out_loss: 2.8767e-04 - val_loss: -49.1900 - val_risk_out_loss: -49.1900\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 276us/step - loss: 7.2858e-04 - risk_out_loss: 7.2858e-04 - val_loss: -48.7470 - val_risk_out_loss: -48.7470\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 391us/step - loss: 4.4361e-05 - risk_out_loss: 4.4361e-05 - val_loss: -48.2922 - val_risk_out_loss: -48.2922\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 253us/step - loss: 7.0262e-06 - risk_out_loss: 7.0262e-06 - val_loss: -47.8723 - val_risk_out_loss: -47.8723\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 310us/step - loss: 1.3819e-05 - risk_out_loss: 1.3819e-05 - val_loss: -47.4424 - val_risk_out_loss: -47.4424\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 276us/step - loss: 1.2548e-05 - risk_out_loss: 1.2548e-05 - val_loss: -47.0475 - val_risk_out_loss: -47.0475\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 264us/step - loss: 5.1771e-06 - risk_out_loss: 5.1771e-06 - val_loss: -46.6570 - val_risk_out_loss: -46.6570\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 299us/step - loss: 7.3711e-06 - risk_out_loss: 7.3711e-06 - val_loss: -46.2930 - val_risk_out_loss: -46.2930\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 253us/step - loss: 8.7446e-05 - risk_out_loss: 8.7446e-05 - val_loss: -45.9893 - val_risk_out_loss: -45.9893\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 322us/step - loss: 2.7198e-04 - risk_out_loss: 2.7198e-04 - val_loss: -45.7076 - val_risk_out_loss: -45.7076\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 264us/step - loss: 0.0014 - risk_out_loss: 0.0014 - val_loss: -45.5349 - val_risk_out_loss: -45.5349\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 264us/step - loss: 2.9920e-04 - risk_out_loss: 2.9920e-04 - val_loss: -45.4303 - val_risk_out_loss: -45.4303\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 276us/step - loss: 1.1840e-05 - risk_out_loss: 1.1840e-05 - val_loss: -45.3019 - val_risk_out_loss: -45.3019\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 345us/step - loss: 4.2012e-05 - risk_out_loss: 4.2012e-05 - val_loss: -45.2083 - val_risk_out_loss: -45.2083\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 333us/step - loss: 1.5512e-05 - risk_out_loss: 1.5512e-05 - val_loss: -45.1250 - val_risk_out_loss: -45.1250\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 322us/step - loss: 1.3761e-04 - risk_out_loss: 1.3761e-04 - val_loss: -45.0575 - val_risk_out_loss: -45.0575\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 287us/step - loss: 1.0037e-04 - risk_out_loss: 1.0037e-04 - val_loss: -44.9959 - val_risk_out_loss: -44.9959\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 276us/step - loss: 3.6304e-04 - risk_out_loss: 3.6304e-04 - val_loss: -44.9790 - val_risk_out_loss: -44.9790\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 356us/step - loss: 0.0058 - risk_out_loss: 0.0058 - val_loss: -45.5195 - val_risk_out_loss: -45.5195\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 287us/step - loss: 2.0224e-05 - risk_out_loss: 2.0224e-05 - val_loss: -45.9858 - val_risk_out_loss: -45.9858\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 287us/step - loss: 7.1936e-04 - risk_out_loss: 7.1936e-04 - val_loss: -46.4458 - val_risk_out_loss: -46.4458\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 276us/step - loss: 6.3539e-05 - risk_out_loss: 6.3539e-05 - val_loss: -46.8362 - val_risk_out_loss: -46.8362\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 287us/step - loss: 0.1118 - risk_out_loss: 0.1118 - val_loss: -47.7907 - val_risk_out_loss: -47.7907\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 310us/step - loss: 1.3073e-05 - risk_out_loss: 1.3073e-05 - val_loss: -48.5093 - val_risk_out_loss: -48.5093\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 333us/step - loss: 1.7225e-05 - risk_out_loss: 1.7225e-05 - val_loss: -49.0895 - val_risk_out_loss: -49.0895\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 333us/step - loss: 1.7382e-05 - risk_out_loss: 1.7382e-05 - val_loss: -49.5413 - val_risk_out_loss: -49.5413\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 276us/step - loss: 9.0610e-05 - risk_out_loss: 9.0610e-05 - val_loss: -49.9133 - val_risk_out_loss: -49.9133\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 241us/step - loss: 0.0016 - risk_out_loss: 0.0016 - val_loss: -50.3048 - val_risk_out_loss: -50.3048\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 276us/step - loss: 3.3034e-05 - risk_out_loss: 3.3034e-05 - val_loss: -50.6013 - val_risk_out_loss: -50.6013\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 299us/step - loss: 8.9779e-05 - risk_out_loss: 8.9779e-05 - val_loss: -50.8390 - val_risk_out_loss: -50.8390\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 276us/step - loss: 5.2183e-05 - risk_out_loss: 5.2183e-05 - val_loss: -51.0443 - val_risk_out_loss: -51.0443\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 287us/step - loss: 3.8530e-04 - risk_out_loss: 3.8530e-04 - val_loss: -51.2002 - val_risk_out_loss: -51.2002\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 230us/step - loss: 4.7200e-04 - risk_out_loss: 4.7200e-04 - val_loss: -51.3419 - val_risk_out_loss: -51.3419\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 310us/step - loss: 3.4504e-04 - risk_out_loss: 3.4504e-04 - val_loss: -51.4599 - val_risk_out_loss: -51.4599\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 310us/step - loss: 1.0003e-04 - risk_out_loss: 1.0003e-04 - val_loss: -51.5720 - val_risk_out_loss: -51.5720\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 276us/step - loss: 1.2932e-04 - risk_out_loss: 1.2932e-04 - val_loss: -51.6500 - val_risk_out_loss: -51.6500\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 241us/step - loss: 0.0023 - risk_out_loss: 0.0023 - val_loss: -51.6870 - val_risk_out_loss: -51.6870\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 299us/step - loss: 2.3016e-04 - risk_out_loss: 2.3016e-04 - val_loss: -51.7121 - val_risk_out_loss: -51.7121\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 310us/step - loss: 6.6767e-04 - risk_out_loss: 6.6767e-04 - val_loss: -51.7286 - val_risk_out_loss: -51.7286\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 253us/step - loss: 8.4964e-04 - risk_out_loss: 8.4964e-04 - val_loss: -51.7390 - val_risk_out_loss: -51.7390\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 276us/step - loss: 1.7087e-04 - risk_out_loss: 1.7087e-04 - val_loss: -51.7652 - val_risk_out_loss: -51.7652\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 276us/step - loss: 2.1557e-04 - risk_out_loss: 2.1557e-04 - val_loss: -51.7732 - val_risk_out_loss: -51.7732\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 333us/step - loss: 1.6991e-04 - risk_out_loss: 1.6991e-04 - val_loss: -51.7871 - val_risk_out_loss: -51.7871\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 368us/step - loss: 2.4112e-04 - risk_out_loss: 2.4112e-04 - val_loss: -51.7921 - val_risk_out_loss: -51.7921\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 287us/step - loss: 2.0629e-04 - risk_out_loss: 2.0629e-04 - val_loss: -51.8011 - val_risk_out_loss: -51.8011\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 299us/step - loss: 0.0019 - risk_out_loss: 0.0019 - val_loss: -51.7745 - val_risk_out_loss: -51.7745\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 356us/step - loss: 6.4251e-04 - risk_out_loss: 6.4251e-04 - val_loss: -51.7433 - val_risk_out_loss: -51.7433\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 310us/step - loss: 2.0145e-04 - risk_out_loss: 2.0145e-04 - val_loss: -51.6886 - val_risk_out_loss: -51.6886\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 322us/step - loss: 1.7294e-04 - risk_out_loss: 1.7294e-04 - val_loss: -51.6563 - val_risk_out_loss: -51.6563\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 310us/step - loss: 2.2505e-04 - risk_out_loss: 2.2505e-04 - val_loss: -51.6366 - val_risk_out_loss: -51.6366\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 264us/step - loss: 5.0381e-04 - risk_out_loss: 5.0381e-04 - val_loss: -51.6053 - val_risk_out_loss: -51.6053\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 333us/step - loss: 4.7424e-04 - risk_out_loss: 4.7424e-04 - val_loss: -51.5872 - val_risk_out_loss: -51.5872\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 299us/step - loss: 0.0314 - risk_out_loss: 0.0314 - val_loss: -51.4300 - val_risk_out_loss: -51.4300\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 333us/step - loss: 9.0814e-05 - risk_out_loss: 9.0814e-05 - val_loss: -51.2729 - val_risk_out_loss: -51.2729\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 287us/step - loss: 1.1471e-04 - risk_out_loss: 1.1471e-04 - val_loss: -51.1267 - val_risk_out_loss: -51.1267\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 276us/step - loss: 0.0013 - risk_out_loss: 0.0013 - val_loss: -51.0190 - val_risk_out_loss: -51.0190\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 310us/step - loss: 4.9439e-04 - risk_out_loss: 4.9439e-04 - val_loss: -50.9233 - val_risk_out_loss: -50.9233\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 322us/step - loss: 1.5607e-04 - risk_out_loss: 1.5607e-04 - val_loss: -50.8305 - val_risk_out_loss: -50.8305\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 310us/step - loss: 1.4503e-04 - risk_out_loss: 1.4503e-04 - val_loss: -50.7386 - val_risk_out_loss: -50.7386\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 310us/step - loss: 6.9399e-05 - risk_out_loss: 6.9399e-05 - val_loss: -50.6688 - val_risk_out_loss: -50.6688\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 310us/step - loss: 9.0949e-05 - risk_out_loss: 9.0949e-05 - val_loss: -50.5854 - val_risk_out_loss: -50.5854\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 287us/step - loss: 8.7857e-05 - risk_out_loss: 8.7857e-05 - val_loss: -50.5097 - val_risk_out_loss: -50.5097\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 287us/step - loss: 9.5911e-05 - risk_out_loss: 9.5911e-05 - val_loss: -50.4558 - val_risk_out_loss: -50.4558\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 287us/step - loss: 4.4232e-05 - risk_out_loss: 4.4232e-05 - val_loss: -50.3907 - val_risk_out_loss: -50.3907\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 322us/step - loss: 6.0566e-05 - risk_out_loss: 6.0566e-05 - val_loss: -50.3274 - val_risk_out_loss: -50.3274\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 276us/step - loss: 6.2990e-05 - risk_out_loss: 6.2990e-05 - val_loss: -50.2777 - val_risk_out_loss: -50.2777\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 333us/step - loss: 4.9266e-05 - risk_out_loss: 4.9266e-05 - val_loss: -50.2396 - val_risk_out_loss: -50.2396\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 310us/step - loss: 7.0320e-05 - risk_out_loss: 7.0320e-05 - val_loss: -50.1911 - val_risk_out_loss: -50.1911\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 276us/step - loss: 2.3171e-05 - risk_out_loss: 2.3171e-05 - val_loss: -50.1573 - val_risk_out_loss: -50.1573\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 264us/step - loss: 8.7767e-04 - risk_out_loss: 8.7767e-04 - val_loss: -50.1398 - val_risk_out_loss: -50.1398\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 264us/step - loss: 9.1832e-05 - risk_out_loss: 9.1832e-05 - val_loss: -50.1249 - val_risk_out_loss: -50.1249\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 310us/step - loss: 2.0347e-05 - risk_out_loss: 2.0347e-05 - val_loss: -50.1131 - val_risk_out_loss: -50.1131\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 264us/step - loss: 0.0054 - risk_out_loss: 0.0054 - val_loss: -49.9371 - val_risk_out_loss: -49.9371\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 253us/step - loss: 2.1675e-05 - risk_out_loss: 2.1675e-05 - val_loss: -49.7432 - val_risk_out_loss: -49.7432\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 253us/step - loss: 0.0021 - risk_out_loss: 0.0021 - val_loss: -49.5021 - val_risk_out_loss: -49.5021\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 310us/step - loss: 8.9189e-05 - risk_out_loss: 8.9189e-05 - val_loss: -49.2872 - val_risk_out_loss: -49.2872\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 345us/step - loss: 4.9661e-05 - risk_out_loss: 4.9661e-05 - val_loss: -49.0864 - val_risk_out_loss: -49.0864\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 299us/step - loss: 2.3351e-05 - risk_out_loss: 2.3351e-05 - val_loss: -48.8597 - val_risk_out_loss: -48.8597\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 253us/step - loss: 3.9837e-05 - risk_out_loss: 3.9837e-05 - val_loss: -48.6624 - val_risk_out_loss: -48.6624\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 287us/step - loss: 1.1447e-05 - risk_out_loss: 1.1447e-05 - val_loss: -48.4844 - val_risk_out_loss: -48.4844\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 276us/step - loss: 3.1162e-05 - risk_out_loss: 3.1162e-05 - val_loss: -48.3268 - val_risk_out_loss: -48.3268\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 299us/step - loss: 4.0759e-04 - risk_out_loss: 4.0759e-04 - val_loss: -48.2168 - val_risk_out_loss: -48.2168\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 287us/step - loss: 4.5758e-05 - risk_out_loss: 4.5758e-05 - val_loss: -48.0971 - val_risk_out_loss: -48.0971\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 333us/step - loss: 1.6860e-05 - risk_out_loss: 1.6860e-05 - val_loss: -47.9810 - val_risk_out_loss: -47.9810\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 459us/step - loss: 3.7898e-05 - risk_out_loss: 3.7898e-05 - val_loss: -47.8798 - val_risk_out_loss: -47.8798\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 322us/step - loss: 2.5676e-05 - risk_out_loss: 2.5676e-05 - val_loss: -47.7929 - val_risk_out_loss: -47.7929\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 276us/step - loss: 1.6779e-04 - risk_out_loss: 1.6779e-04 - val_loss: -47.7136 - val_risk_out_loss: -47.7136\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 253us/step - loss: 7.7770e-05 - risk_out_loss: 7.7770e-05 - val_loss: -47.6419 - val_risk_out_loss: -47.6419\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 264us/step - loss: 6.5254e-05 - risk_out_loss: 6.5254e-05 - val_loss: -47.5859 - val_risk_out_loss: -47.5859\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 322us/step - loss: 5.0309e-04 - risk_out_loss: 5.0309e-04 - val_loss: -47.5720 - val_risk_out_loss: -47.5720\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 287us/step - loss: 1.2097e-05 - risk_out_loss: 1.2097e-05 - val_loss: -47.5484 - val_risk_out_loss: -47.5484\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 276us/step - loss: 1.4004e-04 - risk_out_loss: 1.4004e-04 - val_loss: -47.5338 - val_risk_out_loss: -47.5338\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 299us/step - loss: 7.8599e-05 - risk_out_loss: 7.8599e-05 - val_loss: -47.5247 - val_risk_out_loss: -47.5247\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 345us/step - loss: 3.3965e-05 - risk_out_loss: 3.3965e-05 - val_loss: -47.5154 - val_risk_out_loss: -47.5154\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 264us/step - loss: 2.7430e-05 - risk_out_loss: 2.7430e-05 - val_loss: -47.5070 - val_risk_out_loss: -47.5070\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 333us/step - loss: 4.4769e-05 - risk_out_loss: 4.4769e-05 - val_loss: -47.4984 - val_risk_out_loss: -47.4984\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 264us/step - loss: 1.1285e-04 - risk_out_loss: 1.1285e-04 - val_loss: -47.5012 - val_risk_out_loss: -47.5012\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 310us/step - loss: 0.0073 - risk_out_loss: 0.0073 - val_loss: -47.8037 - val_risk_out_loss: -47.8037\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 276us/step - loss: 1.1886e-05 - risk_out_loss: 1.1886e-05 - val_loss: -48.0584 - val_risk_out_loss: -48.0584\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 310us/step - loss: 2.8447e-05 - risk_out_loss: 2.8447e-05 - val_loss: -48.2733 - val_risk_out_loss: -48.2733\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 276us/step - loss: 1.8654e-05 - risk_out_loss: 1.8654e-05 - val_loss: -48.4619 - val_risk_out_loss: -48.4619\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 310us/step - loss: 3.0419e-05 - risk_out_loss: 3.0419e-05 - val_loss: -48.6356 - val_risk_out_loss: -48.6356\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 299us/step - loss: 4.6685e-05 - risk_out_loss: 4.6685e-05 - val_loss: -48.7854 - val_risk_out_loss: -48.7854\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 345us/step - loss: 4.4141e-05 - risk_out_loss: 4.4141e-05 - val_loss: -48.9012 - val_risk_out_loss: -48.9012\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 368us/step - loss: 0.0261 - risk_out_loss: 0.0261 - val_loss: -49.5611 - val_risk_out_loss: -49.5611\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 333us/step - loss: 0.0024 - risk_out_loss: 0.0024 - val_loss: -50.0198 - val_risk_out_loss: -50.0198\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 310us/step - loss: 3.5552e-05 - risk_out_loss: 3.5552e-05 - val_loss: -50.3839 - val_risk_out_loss: -50.3839\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 264us/step - loss: 3.3611e-05 - risk_out_loss: 3.3611e-05 - val_loss: -50.6677 - val_risk_out_loss: -50.6677\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 264us/step - loss: 0.0023 - risk_out_loss: 0.0023 - val_loss: -50.9926 - val_risk_out_loss: -50.9926\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 299us/step - loss: 7.3145e-05 - risk_out_loss: 7.3145e-05 - val_loss: -51.2440 - val_risk_out_loss: -51.2440\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 287us/step - loss: 3.9095e-05 - risk_out_loss: 3.9095e-05 - val_loss: -51.4236 - val_risk_out_loss: -51.4236\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 276us/step - loss: 1.3148e-04 - risk_out_loss: 1.3148e-04 - val_loss: -51.5904 - val_risk_out_loss: -51.5904\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 241us/step - loss: 6.7306e-05 - risk_out_loss: 6.7306e-05 - val_loss: -51.7155 - val_risk_out_loss: -51.7155\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 253us/step - loss: 1.1987e-04 - risk_out_loss: 1.1987e-04 - val_loss: -51.8263 - val_risk_out_loss: -51.8263\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 287us/step - loss: 4.3829e-05 - risk_out_loss: 4.3829e-05 - val_loss: -51.9231 - val_risk_out_loss: -51.9231\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 287us/step - loss: 5.7876e-05 - risk_out_loss: 5.7876e-05 - val_loss: -51.9986 - val_risk_out_loss: -51.9986\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 287us/step - loss: 0.0553 - risk_out_loss: 0.0553 - val_loss: -51.8080 - val_risk_out_loss: -51.8080\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 299us/step - loss: 4.5777e-05 - risk_out_loss: 4.5777e-05 - val_loss: -51.6040 - val_risk_out_loss: -51.6040\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 310us/step - loss: 7.3806e-05 - risk_out_loss: 7.3806e-05 - val_loss: -51.3874 - val_risk_out_loss: -51.3874\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 287us/step - loss: 6.6444e-04 - risk_out_loss: 6.6444e-04 - val_loss: -51.1751 - val_risk_out_loss: -51.1751\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 287us/step - loss: 1.3253e-04 - risk_out_loss: 1.3253e-04 - val_loss: -50.9674 - val_risk_out_loss: -50.9674\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 299us/step - loss: 2.7265e-04 - risk_out_loss: 2.7265e-04 - val_loss: -50.7354 - val_risk_out_loss: -50.7354\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 287us/step - loss: 4.3982e-04 - risk_out_loss: 4.3982e-04 - val_loss: -50.5196 - val_risk_out_loss: -50.5196\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 276us/step - loss: 5.3853e-04 - risk_out_loss: 5.3853e-04 - val_loss: -50.2819 - val_risk_out_loss: -50.2819\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 310us/step - loss: 1.0152e-04 - risk_out_loss: 1.0152e-04 - val_loss: -50.0712 - val_risk_out_loss: -50.0712\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 264us/step - loss: 7.9626e-05 - risk_out_loss: 7.9626e-05 - val_loss: -49.8653 - val_risk_out_loss: -49.8653\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 276us/step - loss: 4.7892e-05 - risk_out_loss: 4.7892e-05 - val_loss: -49.6558 - val_risk_out_loss: -49.6558\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 287us/step - loss: 1.1649e-04 - risk_out_loss: 1.1649e-04 - val_loss: -49.4673 - val_risk_out_loss: -49.4673\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 322us/step - loss: 7.6815e-05 - risk_out_loss: 7.6815e-05 - val_loss: -49.2881 - val_risk_out_loss: -49.2881\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 322us/step - loss: 2.5037e-05 - risk_out_loss: 2.5037e-05 - val_loss: -49.1071 - val_risk_out_loss: -49.1071\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 264us/step - loss: 3.1496e-05 - risk_out_loss: 3.1496e-05 - val_loss: -48.9222 - val_risk_out_loss: -48.9222\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 310us/step - loss: 4.2505e-05 - risk_out_loss: 4.2505e-05 - val_loss: -48.7843 - val_risk_out_loss: -48.7843\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 310us/step - loss: 7.6243e-05 - risk_out_loss: 7.6243e-05 - val_loss: -48.6359 - val_risk_out_loss: -48.6359\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 310us/step - loss: 8.3487e-05 - risk_out_loss: 8.3487e-05 - val_loss: -48.5089 - val_risk_out_loss: -48.5089\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 322us/step - loss: 3.1049e-04 - risk_out_loss: 3.1049e-04 - val_loss: -48.3942 - val_risk_out_loss: -48.3942\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 299us/step - loss: 8.9798e-05 - risk_out_loss: 8.9798e-05 - val_loss: -48.2621 - val_risk_out_loss: -48.2621\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 322us/step - loss: 1.3251e-04 - risk_out_loss: 1.3251e-04 - val_loss: -48.1754 - val_risk_out_loss: -48.1754\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 356us/step - loss: 1.3085e-04 - risk_out_loss: 1.3085e-04 - val_loss: -48.0922 - val_risk_out_loss: -48.0922\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 299us/step - loss: 3.0676e-04 - risk_out_loss: 3.0676e-04 - val_loss: -48.0286 - val_risk_out_loss: -48.0286\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 322us/step - loss: 3.3432e-05 - risk_out_loss: 3.3432e-05 - val_loss: -47.9689 - val_risk_out_loss: -47.9689\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 287us/step - loss: 7.0496e-05 - risk_out_loss: 7.0496e-05 - val_loss: -47.9167 - val_risk_out_loss: -47.9167\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 276us/step - loss: 2.2137e-05 - risk_out_loss: 2.2137e-05 - val_loss: -47.8759 - val_risk_out_loss: -47.8759\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 425us/step - loss: 6.1899e-05 - risk_out_loss: 6.1899e-05 - val_loss: -47.8287 - val_risk_out_loss: -47.8287\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 368us/step - loss: 0.0323 - risk_out_loss: 0.0323 - val_loss: -46.9533 - val_risk_out_loss: -46.9533\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 345us/step - loss: 7.8917e-05 - risk_out_loss: 7.8917e-05 - val_loss: -46.1202 - val_risk_out_loss: -46.1202\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 310us/step - loss: 4.4501e-04 - risk_out_loss: 4.4501e-04 - val_loss: -45.2614 - val_risk_out_loss: -45.2614\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 287us/step - loss: 4.9156e-05 - risk_out_loss: 4.9156e-05 - val_loss: -44.3893 - val_risk_out_loss: -44.3893\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 345us/step - loss: 3.3297e-04 - risk_out_loss: 3.3297e-04 - val_loss: -43.6196 - val_risk_out_loss: -43.6196\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 333us/step - loss: 1.5227e-04 - risk_out_loss: 1.5227e-04 - val_loss: -42.8692 - val_risk_out_loss: -42.8692\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 276us/step - loss: 9.4093e-05 - risk_out_loss: 9.4093e-05 - val_loss: -42.1796 - val_risk_out_loss: -42.1796\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 333us/step - loss: 7.3891e-04 - risk_out_loss: 7.3891e-04 - val_loss: -41.5764 - val_risk_out_loss: -41.5764\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 356us/step - loss: 6.6919e-05 - risk_out_loss: 6.6919e-05 - val_loss: -41.0376 - val_risk_out_loss: -41.0376\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 322us/step - loss: 0.0033 - risk_out_loss: 0.0033 - val_loss: -40.9389 - val_risk_out_loss: -40.9389\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 287us/step - loss: 0.0091 - risk_out_loss: 0.0091 - val_loss: -41.5054 - val_risk_out_loss: -41.5054\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 322us/step - loss: 7.4148e-05 - risk_out_loss: 7.4148e-05 - val_loss: -42.0037 - val_risk_out_loss: -42.0037\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 287us/step - loss: 1.7803e-04 - risk_out_loss: 1.7803e-04 - val_loss: -42.4431 - val_risk_out_loss: -42.4431\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 287us/step - loss: 4.0701e-05 - risk_out_loss: 4.0701e-05 - val_loss: -42.8282 - val_risk_out_loss: -42.8282\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 287us/step - loss: 1.4626e-04 - risk_out_loss: 1.4626e-04 - val_loss: -43.1753 - val_risk_out_loss: -43.1753\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 310us/step - loss: 1.5856e-04 - risk_out_loss: 1.5856e-04 - val_loss: -43.5020 - val_risk_out_loss: -43.5020\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 287us/step - loss: 1.1654e-04 - risk_out_loss: 1.1654e-04 - val_loss: -43.7768 - val_risk_out_loss: -43.7768\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 264us/step - loss: 1.1500e-04 - risk_out_loss: 1.1500e-04 - val_loss: -44.0471 - val_risk_out_loss: -44.0471\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 299us/step - loss: 1.0547e-05 - risk_out_loss: 1.0547e-05 - val_loss: -44.2759 - val_risk_out_loss: -44.2759\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 333us/step - loss: 3.0281e-05 - risk_out_loss: 3.0281e-05 - val_loss: -44.4737 - val_risk_out_loss: -44.4737\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 299us/step - loss: 1.0377e-04 - risk_out_loss: 1.0377e-04 - val_loss: -44.6551 - val_risk_out_loss: -44.6551\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 287us/step - loss: 1.2857e-04 - risk_out_loss: 1.2857e-04 - val_loss: -44.8111 - val_risk_out_loss: -44.8111\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 264us/step - loss: 1.3896e-04 - risk_out_loss: 1.3896e-04 - val_loss: -44.9600 - val_risk_out_loss: -44.9600\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 322us/step - loss: 2.6723e-05 - risk_out_loss: 2.6723e-05 - val_loss: -45.0847 - val_risk_out_loss: -45.0847\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 299us/step - loss: 1.4068e-04 - risk_out_loss: 1.4068e-04 - val_loss: -45.1845 - val_risk_out_loss: -45.1845\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 299us/step - loss: 7.1570e-05 - risk_out_loss: 7.1570e-05 - val_loss: -45.2677 - val_risk_out_loss: -45.2677\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 276us/step - loss: 4.8617e-05 - risk_out_loss: 4.8617e-05 - val_loss: -45.3583 - val_risk_out_loss: -45.3583\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 310us/step - loss: 4.0138e-05 - risk_out_loss: 4.0138e-05 - val_loss: -45.4377 - val_risk_out_loss: -45.4377\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 310us/step - loss: 2.5572e-05 - risk_out_loss: 2.5572e-05 - val_loss: -45.4885 - val_risk_out_loss: -45.4885\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 276us/step - loss: 2.3984e-04 - risk_out_loss: 2.3984e-04 - val_loss: -45.5689 - val_risk_out_loss: -45.5689\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 345us/step - loss: 8.5691e-06 - risk_out_loss: 8.5691e-06 - val_loss: -45.6426 - val_risk_out_loss: -45.6426\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 299us/step - loss: 0.0060 - risk_out_loss: 0.0060 - val_loss: -45.6561 - val_risk_out_loss: -45.6561\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 322us/step - loss: 3.5386e-05 - risk_out_loss: 3.5386e-05 - val_loss: -45.6775 - val_risk_out_loss: -45.6775\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 310us/step - loss: 5.2272e-04 - risk_out_loss: 5.2272e-04 - val_loss: -45.6825 - val_risk_out_loss: -45.6825\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 276us/step - loss: 1.4557e-05 - risk_out_loss: 1.4557e-05 - val_loss: -45.6777 - val_risk_out_loss: -45.6777\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 299us/step - loss: 4.8582e-05 - risk_out_loss: 4.8582e-05 - val_loss: -45.6682 - val_risk_out_loss: -45.6682\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 310us/step - loss: 3.5599e-05 - risk_out_loss: 3.5599e-05 - val_loss: -45.6642 - val_risk_out_loss: -45.6642\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 368us/step - loss: 9.1843e-05 - risk_out_loss: 9.1843e-05 - val_loss: -45.6624 - val_risk_out_loss: -45.6624\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 287us/step - loss: 3.5705e-05 - risk_out_loss: 3.5705e-05 - val_loss: -45.6641 - val_risk_out_loss: -45.6641\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 253us/step - loss: 4.3706e-05 - risk_out_loss: 4.3706e-05 - val_loss: -45.6568 - val_risk_out_loss: -45.6568\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 310us/step - loss: 5.3422e-05 - risk_out_loss: 5.3422e-05 - val_loss: -45.6517 - val_risk_out_loss: -45.6517\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 287us/step - loss: 4.6067e-05 - risk_out_loss: 4.6067e-05 - val_loss: -45.6524 - val_risk_out_loss: -45.6524\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 310us/step - loss: 3.4859e-05 - risk_out_loss: 3.4859e-05 - val_loss: -45.6558 - val_risk_out_loss: -45.6558\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 299us/step - loss: 7.0552e-05 - risk_out_loss: 7.0552e-05 - val_loss: -45.6585 - val_risk_out_loss: -45.6585\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 276us/step - loss: 5.1540e-05 - risk_out_loss: 5.1540e-05 - val_loss: -45.6589 - val_risk_out_loss: -45.6589\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 345us/step - loss: 0.0792 - risk_out_loss: 0.0792 - val_loss: -45.9175 - val_risk_out_loss: -45.9175\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 310us/step - loss: 1.2180e-04 - risk_out_loss: 1.2180e-04 - val_loss: -46.1324 - val_risk_out_loss: -46.1324\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 368us/step - loss: 4.9930e-05 - risk_out_loss: 4.9930e-05 - val_loss: -46.3386 - val_risk_out_loss: -46.3386\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 322us/step - loss: 8.3249e-05 - risk_out_loss: 8.3249e-05 - val_loss: -46.5200 - val_risk_out_loss: -46.5200\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 310us/step - loss: 0.0031 - risk_out_loss: 0.0031 - val_loss: -46.8204 - val_risk_out_loss: -46.8204\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 264us/step - loss: 1.0536e-04 - risk_out_loss: 1.0536e-04 - val_loss: -47.0861 - val_risk_out_loss: -47.0861\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 299us/step - loss: 5.0050e-05 - risk_out_loss: 5.0050e-05 - val_loss: -47.3139 - val_risk_out_loss: -47.3139\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 264us/step - loss: 6.8836e-05 - risk_out_loss: 6.8836e-05 - val_loss: -47.5139 - val_risk_out_loss: -47.5139\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 299us/step - loss: 2.3217e-04 - risk_out_loss: 2.3217e-04 - val_loss: -47.6969 - val_risk_out_loss: -47.6969\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 299us/step - loss: 5.4343e-05 - risk_out_loss: 5.4343e-05 - val_loss: -47.8452 - val_risk_out_loss: -47.8452\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 356us/step - loss: 6.7413e-05 - risk_out_loss: 6.7413e-05 - val_loss: -47.9784 - val_risk_out_loss: -47.9784\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 287us/step - loss: 1.9778e-04 - risk_out_loss: 1.9778e-04 - val_loss: -48.0775 - val_risk_out_loss: -48.0775\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 333us/step - loss: 1.2196e-04 - risk_out_loss: 1.2196e-04 - val_loss: -48.1834 - val_risk_out_loss: -48.1834\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 322us/step - loss: 0.0018 - risk_out_loss: 0.0018 - val_loss: -48.2392 - val_risk_out_loss: -48.2392\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 299us/step - loss: 1.5178e-05 - risk_out_loss: 1.5178e-05 - val_loss: -48.2970 - val_risk_out_loss: -48.2970\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 333us/step - loss: 4.0457e-05 - risk_out_loss: 4.0457e-05 - val_loss: -48.3424 - val_risk_out_loss: -48.3424\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 299us/step - loss: 2.3085e-04 - risk_out_loss: 2.3085e-04 - val_loss: -48.4001 - val_risk_out_loss: -48.4001\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 276us/step - loss: 0.0019 - risk_out_loss: 0.0019 - val_loss: -48.4146 - val_risk_out_loss: -48.4146\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 287us/step - loss: 2.4476e-04 - risk_out_loss: 2.4476e-04 - val_loss: -48.4249 - val_risk_out_loss: -48.4249\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 310us/step - loss: 1.9406e-04 - risk_out_loss: 1.9406e-04 - val_loss: -48.4264 - val_risk_out_loss: -48.4264\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 333us/step - loss: 1.0522e-04 - risk_out_loss: 1.0522e-04 - val_loss: -48.4292 - val_risk_out_loss: -48.4292\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 310us/step - loss: 5.0996e-05 - risk_out_loss: 5.0996e-05 - val_loss: -48.4317 - val_risk_out_loss: -48.4317\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 391us/step - loss: 9.6068e-05 - risk_out_loss: 9.6068e-05 - val_loss: -48.4389 - val_risk_out_loss: -48.4389\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 287us/step - loss: 1.3788e-04 - risk_out_loss: 1.3788e-04 - val_loss: -48.4428 - val_risk_out_loss: -48.4428\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 276us/step - loss: 4.2419e-04 - risk_out_loss: 4.2419e-04 - val_loss: -48.4429 - val_risk_out_loss: -48.4429\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 299us/step - loss: 5.3296e-04 - risk_out_loss: 5.3296e-04 - val_loss: -48.4366 - val_risk_out_loss: -48.4366\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 276us/step - loss: 8.2104e-05 - risk_out_loss: 8.2104e-05 - val_loss: -48.4265 - val_risk_out_loss: -48.4265\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 287us/step - loss: 1.4257e-04 - risk_out_loss: 1.4257e-04 - val_loss: -48.4206 - val_risk_out_loss: -48.4206\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 356us/step - loss: 5.9331e-04 - risk_out_loss: 5.9331e-04 - val_loss: -48.4132 - val_risk_out_loss: -48.4132\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 356us/step - loss: 1.4791e-04 - risk_out_loss: 1.4791e-04 - val_loss: -48.4034 - val_risk_out_loss: -48.4034\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 299us/step - loss: 2.0746e-04 - risk_out_loss: 2.0746e-04 - val_loss: -48.3974 - val_risk_out_loss: -48.3974\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 299us/step - loss: 0.0452 - risk_out_loss: 0.0452 - val_loss: -47.9548 - val_risk_out_loss: -47.9548\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 299us/step - loss: 1.7010e-04 - risk_out_loss: 1.7010e-04 - val_loss: -47.5013 - val_risk_out_loss: -47.5013\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 322us/step - loss: 3.3035e-04 - risk_out_loss: 3.3035e-04 - val_loss: -47.0697 - val_risk_out_loss: -47.0697\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 299us/step - loss: 4.4183e-04 - risk_out_loss: 4.4183e-04 - val_loss: -46.6334 - val_risk_out_loss: -46.6334\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 287us/step - loss: 0.0136 - risk_out_loss: 0.0136 - val_loss: -45.8094 - val_risk_out_loss: -45.8094\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 322us/step - loss: 2.4378e-04 - risk_out_loss: 2.4378e-04 - val_loss: -45.0030 - val_risk_out_loss: -45.0030\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 264us/step - loss: 3.5828e-04 - risk_out_loss: 3.5828e-04 - val_loss: -44.1950 - val_risk_out_loss: -44.1950\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 276us/step - loss: 1.7247e-04 - risk_out_loss: 1.7247e-04 - val_loss: -43.4774 - val_risk_out_loss: -43.4774\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 299us/step - loss: 9.1096e-05 - risk_out_loss: 9.1096e-05 - val_loss: -42.7381 - val_risk_out_loss: -42.7381\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 287us/step - loss: 0.0014 - risk_out_loss: 0.0014 - val_loss: -42.1938 - val_risk_out_loss: -42.1938\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 287us/step - loss: 1.7115e-04 - risk_out_loss: 1.7115e-04 - val_loss: -41.7063 - val_risk_out_loss: -41.7063\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 322us/step - loss: 1.0541e-04 - risk_out_loss: 1.0541e-04 - val_loss: -41.2140 - val_risk_out_loss: -41.2140\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 276us/step - loss: 1.1494e-04 - risk_out_loss: 1.1494e-04 - val_loss: -40.7880 - val_risk_out_loss: -40.7880\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 287us/step - loss: 1.3697e-04 - risk_out_loss: 1.3697e-04 - val_loss: -40.4213 - val_risk_out_loss: -40.4213\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 287us/step - loss: 1.3381e-04 - risk_out_loss: 1.3381e-04 - val_loss: -40.0762 - val_risk_out_loss: -40.0762\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 299us/step - loss: 3.5707e-05 - risk_out_loss: 3.5707e-05 - val_loss: -39.7634 - val_risk_out_loss: -39.7634\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 253us/step - loss: 0.0013 - risk_out_loss: 0.0013 - val_loss: -39.6342 - val_risk_out_loss: -39.6342\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 287us/step - loss: 1.2130e-04 - risk_out_loss: 1.2130e-04 - val_loss: -39.5496 - val_risk_out_loss: -39.5496\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 287us/step - loss: 1.0744e-04 - risk_out_loss: 1.0744e-04 - val_loss: -39.4684 - val_risk_out_loss: -39.4684\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 276us/step - loss: 7.0326e-05 - risk_out_loss: 7.0326e-05 - val_loss: -39.3965 - val_risk_out_loss: -39.3965\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 241us/step - loss: 1.9173e-04 - risk_out_loss: 1.9173e-04 - val_loss: -39.3498 - val_risk_out_loss: -39.3498\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 264us/step - loss: 0.0091 - risk_out_loss: 0.0091 - val_loss: -39.7460 - val_risk_out_loss: -39.7460\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 264us/step - loss: 0.0014 - risk_out_loss: 0.0014 - val_loss: -40.2776 - val_risk_out_loss: -40.2776\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 299us/step - loss: 2.8627e-04 - risk_out_loss: 2.8627e-04 - val_loss: -40.7932 - val_risk_out_loss: -40.7932\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 264us/step - loss: 2.4847e-04 - risk_out_loss: 2.4847e-04 - val_loss: -41.2658 - val_risk_out_loss: -41.2658\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 287us/step - loss: 4.5055e-04 - risk_out_loss: 4.5055e-04 - val_loss: -41.7285 - val_risk_out_loss: -41.7285\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 276us/step - loss: 8.2090e-05 - risk_out_loss: 8.2090e-05 - val_loss: -42.1471 - val_risk_out_loss: -42.1471\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 276us/step - loss: 1.2286e-04 - risk_out_loss: 1.2286e-04 - val_loss: -42.5224 - val_risk_out_loss: -42.5224\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 287us/step - loss: 6.4538e-05 - risk_out_loss: 6.4538e-05 - val_loss: -42.8496 - val_risk_out_loss: -42.8496\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 299us/step - loss: 1.6804e-04 - risk_out_loss: 1.6804e-04 - val_loss: -43.1840 - val_risk_out_loss: -43.1840\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 299us/step - loss: 4.3652e-05 - risk_out_loss: 4.3652e-05 - val_loss: -43.4664 - val_risk_out_loss: -43.4664\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 322us/step - loss: 2.9363e-05 - risk_out_loss: 2.9363e-05 - val_loss: -43.7272 - val_risk_out_loss: -43.7272\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 264us/step - loss: 7.1644e-05 - risk_out_loss: 7.1644e-05 - val_loss: -43.9528 - val_risk_out_loss: -43.9528\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 276us/step - loss: 7.7279e-05 - risk_out_loss: 7.7279e-05 - val_loss: -44.1605 - val_risk_out_loss: -44.1605\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 310us/step - loss: 6.5080e-05 - risk_out_loss: 6.5080e-05 - val_loss: -44.3347 - val_risk_out_loss: -44.3347\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 345us/step - loss: 3.6983e-04 - risk_out_loss: 3.6983e-04 - val_loss: -44.4929 - val_risk_out_loss: -44.4929\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 368us/step - loss: 6.4280e-05 - risk_out_loss: 6.4280e-05 - val_loss: -44.6403 - val_risk_out_loss: -44.6403\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 322us/step - loss: 3.5729e-05 - risk_out_loss: 3.5729e-05 - val_loss: -44.7897 - val_risk_out_loss: -44.7897\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 345us/step - loss: 6.8745e-05 - risk_out_loss: 6.8745e-05 - val_loss: -44.9019 - val_risk_out_loss: -44.9019\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 276us/step - loss: 4.1119e-04 - risk_out_loss: 4.1119e-04 - val_loss: -44.9942 - val_risk_out_loss: -44.9942\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 322us/step - loss: 0.0010 - risk_out_loss: 0.0010 - val_loss: -45.1536 - val_risk_out_loss: -45.1536\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 287us/step - loss: 4.7530e-05 - risk_out_loss: 4.7530e-05 - val_loss: -45.3131 - val_risk_out_loss: -45.3131\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 253us/step - loss: 4.6655e-04 - risk_out_loss: 4.6655e-04 - val_loss: -45.4749 - val_risk_out_loss: -45.4749\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 310us/step - loss: 3.2368e-05 - risk_out_loss: 3.2368e-05 - val_loss: -45.6209 - val_risk_out_loss: -45.6209\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 299us/step - loss: 6.6324e-05 - risk_out_loss: 6.6324e-05 - val_loss: -45.7689 - val_risk_out_loss: -45.7689\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 287us/step - loss: 1.2920e-04 - risk_out_loss: 1.2920e-04 - val_loss: -45.8909 - val_risk_out_loss: -45.8909\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 379us/step - loss: 6.0884e-04 - risk_out_loss: 6.0884e-04 - val_loss: -46.0248 - val_risk_out_loss: -46.0248\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 345us/step - loss: 4.7469e-05 - risk_out_loss: 4.7469e-05 - val_loss: -46.1408 - val_risk_out_loss: -46.1408\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 287us/step - loss: 3.8056e-04 - risk_out_loss: 3.8056e-04 - val_loss: -46.2808 - val_risk_out_loss: -46.2808\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 379us/step - loss: 2.6600e-05 - risk_out_loss: 2.6600e-05 - val_loss: -46.4006 - val_risk_out_loss: -46.4006\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 276us/step - loss: 9.3661e-05 - risk_out_loss: 9.3661e-05 - val_loss: -46.5036 - val_risk_out_loss: -46.5036\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 253us/step - loss: 9.0929e-05 - risk_out_loss: 9.0929e-05 - val_loss: -46.5913 - val_risk_out_loss: -46.5913\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 322us/step - loss: 1.8109e-05 - risk_out_loss: 1.8109e-05 - val_loss: -46.6649 - val_risk_out_loss: -46.6649\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 287us/step - loss: 0.0010 - risk_out_loss: 0.0010 - val_loss: -46.7499 - val_risk_out_loss: -46.7499\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 310us/step - loss: 6.0834e-05 - risk_out_loss: 6.0834e-05 - val_loss: -46.8445 - val_risk_out_loss: -46.8445\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 276us/step - loss: 1.3561e-04 - risk_out_loss: 1.3561e-04 - val_loss: -46.9151 - val_risk_out_loss: -46.9151\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 264us/step - loss: 4.9513e-05 - risk_out_loss: 4.9513e-05 - val_loss: -46.9876 - val_risk_out_loss: -46.9876\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 310us/step - loss: 6.5505e-05 - risk_out_loss: 6.5505e-05 - val_loss: -47.0576 - val_risk_out_loss: -47.0576\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 276us/step - loss: 2.5864e-05 - risk_out_loss: 2.5864e-05 - val_loss: -47.1066 - val_risk_out_loss: -47.1066\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 322us/step - loss: 1.2623e-05 - risk_out_loss: 1.2623e-05 - val_loss: -47.1574 - val_risk_out_loss: -47.1574\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 345us/step - loss: 2.2534e-05 - risk_out_loss: 2.2534e-05 - val_loss: -47.1963 - val_risk_out_loss: -47.1963\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 368us/step - loss: 2.2890e-05 - risk_out_loss: 2.2890e-05 - val_loss: -47.2321 - val_risk_out_loss: -47.2321\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 322us/step - loss: 3.4164e-05 - risk_out_loss: 3.4164e-05 - val_loss: -47.2732 - val_risk_out_loss: -47.2732\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 253us/step - loss: 8.8081e-05 - risk_out_loss: 8.8081e-05 - val_loss: -47.2999 - val_risk_out_loss: -47.2999\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 264us/step - loss: 2.7438e-04 - risk_out_loss: 2.7438e-04 - val_loss: -47.3346 - val_risk_out_loss: -47.3346\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 264us/step - loss: 1.5764e-05 - risk_out_loss: 1.5764e-05 - val_loss: -47.3548 - val_risk_out_loss: -47.3548\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 310us/step - loss: 7.2567e-05 - risk_out_loss: 7.2567e-05 - val_loss: -47.3826 - val_risk_out_loss: -47.3826\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 264us/step - loss: 3.1023e-05 - risk_out_loss: 3.1023e-05 - val_loss: -47.4096 - val_risk_out_loss: -47.4096\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 299us/step - loss: 1.8326e-04 - risk_out_loss: 1.8326e-04 - val_loss: -47.4395 - val_risk_out_loss: -47.4395\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 253us/step - loss: 6.1243e-05 - risk_out_loss: 6.1243e-05 - val_loss: -47.4667 - val_risk_out_loss: -47.4667\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 299us/step - loss: 2.7371e-05 - risk_out_loss: 2.7371e-05 - val_loss: -47.4912 - val_risk_out_loss: -47.4912\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 402us/step - loss: 4.1303e-05 - risk_out_loss: 4.1303e-05 - val_loss: -47.5221 - val_risk_out_loss: -47.5221\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 391us/step - loss: 6.2260e-04 - risk_out_loss: 6.2260e-04 - val_loss: -47.5263 - val_risk_out_loss: -47.5263\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 368us/step - loss: 2.2642e-05 - risk_out_loss: 2.2642e-05 - val_loss: -47.5296 - val_risk_out_loss: -47.5296\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 276us/step - loss: 1.8415e-05 - risk_out_loss: 1.8415e-05 - val_loss: -47.5331 - val_risk_out_loss: -47.5331\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 310us/step - loss: 8.7709e-05 - risk_out_loss: 8.7709e-05 - val_loss: -47.5419 - val_risk_out_loss: -47.5419\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 322us/step - loss: 2.2266e-05 - risk_out_loss: 2.2266e-05 - val_loss: -47.5473 - val_risk_out_loss: -47.5473\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 241us/step - loss: 3.2385e-05 - risk_out_loss: 3.2385e-05 - val_loss: -47.5535 - val_risk_out_loss: -47.5535\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 241us/step - loss: 1.0809e-04 - risk_out_loss: 1.0809e-04 - val_loss: -47.5620 - val_risk_out_loss: -47.5620\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 287us/step - loss: 9.8715e-05 - risk_out_loss: 9.8715e-05 - val_loss: -47.5694 - val_risk_out_loss: -47.5694\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 253us/step - loss: 1.5872e-05 - risk_out_loss: 1.5872e-05 - val_loss: -47.5760 - val_risk_out_loss: -47.5760\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 310us/step - loss: 1.5811e-05 - risk_out_loss: 1.5811e-05 - val_loss: -47.5822 - val_risk_out_loss: -47.5822\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 299us/step - loss: 2.5393e-05 - risk_out_loss: 2.5393e-05 - val_loss: -47.5897 - val_risk_out_loss: -47.5897\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 287us/step - loss: 2.2463e-05 - risk_out_loss: 2.2463e-05 - val_loss: -47.5963 - val_risk_out_loss: -47.5963\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 276us/step - loss: 2.6324e-05 - risk_out_loss: 2.6324e-05 - val_loss: -47.6020 - val_risk_out_loss: -47.6020\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 310us/step - loss: 3.3884e-05 - risk_out_loss: 3.3884e-05 - val_loss: -47.6084 - val_risk_out_loss: -47.6084\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 264us/step - loss: 4.3854e-05 - risk_out_loss: 4.3854e-05 - val_loss: -47.6127 - val_risk_out_loss: -47.6127\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 264us/step - loss: 3.6216e-05 - risk_out_loss: 3.6216e-05 - val_loss: -47.6160 - val_risk_out_loss: -47.6160\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 264us/step - loss: 4.0311e-05 - risk_out_loss: 4.0311e-05 - val_loss: -47.6213 - val_risk_out_loss: -47.6213\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 276us/step - loss: 6.9149e-06 - risk_out_loss: 6.9149e-06 - val_loss: -47.6277 - val_risk_out_loss: -47.6277\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 333us/step - loss: 4.7840e-05 - risk_out_loss: 4.7840e-05 - val_loss: -47.6297 - val_risk_out_loss: -47.6297\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 333us/step - loss: 2.2673e-05 - risk_out_loss: 2.2673e-05 - val_loss: -47.6318 - val_risk_out_loss: -47.6318\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 299us/step - loss: 3.4818e-05 - risk_out_loss: 3.4818e-05 - val_loss: -47.6375 - val_risk_out_loss: -47.6375\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 276us/step - loss: 2.2044e-04 - risk_out_loss: 2.2044e-04 - val_loss: -47.6333 - val_risk_out_loss: -47.6333\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 356us/step - loss: 3.8205e-05 - risk_out_loss: 3.8205e-05 - val_loss: -47.6301 - val_risk_out_loss: -47.6301\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 356us/step - loss: 2.6564e-05 - risk_out_loss: 2.6564e-05 - val_loss: -47.6291 - val_risk_out_loss: -47.6291\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 310us/step - loss: 1.5337e-04 - risk_out_loss: 1.5337e-04 - val_loss: -47.6268 - val_risk_out_loss: -47.6268\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 276us/step - loss: 1.4940e-05 - risk_out_loss: 1.4940e-05 - val_loss: -47.6232 - val_risk_out_loss: -47.6232\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "85/85 [==============================] - 0s 333us/step - loss: 4.7137e-05 - risk_out_loss: 4.7137e-05 - val_loss: -47.6180 - val_risk_out_loss: -47.6180\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 276us/step - loss: 2.2465e-05 - risk_out_loss: 2.2465e-05 - val_loss: -47.6156 - val_risk_out_loss: -47.6156\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 345us/step - loss: 3.2235e-05 - risk_out_loss: 3.2235e-05 - val_loss: -47.6138 - val_risk_out_loss: -47.6138\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 264us/step - loss: 3.1186e-04 - risk_out_loss: 3.1186e-04 - val_loss: -47.6268 - val_risk_out_loss: -47.6268\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 264us/step - loss: 1.0231e-04 - risk_out_loss: 1.0231e-04 - val_loss: -47.6573 - val_risk_out_loss: -47.6573\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 333us/step - loss: 0.0059 - risk_out_loss: 0.0059 - val_loss: -47.4096 - val_risk_out_loss: -47.4096\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 345us/step - loss: 0.0020 - risk_out_loss: 0.0020 - val_loss: -47.0596 - val_risk_out_loss: -47.0596\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 322us/step - loss: 1.4616e-05 - risk_out_loss: 1.4616e-05 - val_loss: -46.7500 - val_risk_out_loss: -46.7500\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 310us/step - loss: 2.8078e-05 - risk_out_loss: 2.8078e-05 - val_loss: -46.4341 - val_risk_out_loss: -46.4341\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 299us/step - loss: 7.6489e-05 - risk_out_loss: 7.6489e-05 - val_loss: -46.1276 - val_risk_out_loss: -46.1276\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 333us/step - loss: 8.7053e-05 - risk_out_loss: 8.7053e-05 - val_loss: -45.8505 - val_risk_out_loss: -45.8505\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 310us/step - loss: 2.1239e-04 - risk_out_loss: 2.1239e-04 - val_loss: -45.6048 - val_risk_out_loss: -45.6048\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 345us/step - loss: 6.7829e-05 - risk_out_loss: 6.7829e-05 - val_loss: -45.3963 - val_risk_out_loss: -45.3963\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 276us/step - loss: 7.5481e-04 - risk_out_loss: 7.5481e-04 - val_loss: -45.2543 - val_risk_out_loss: -45.2543\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 368us/step - loss: 0.0017 - risk_out_loss: 0.0017 - val_loss: -45.0641 - val_risk_out_loss: -45.0641\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 276us/step - loss: 1.3618e-05 - risk_out_loss: 1.3618e-05 - val_loss: -44.8660 - val_risk_out_loss: -44.8660\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 333us/step - loss: 0.0156 - risk_out_loss: 0.0156 - val_loss: -45.4383 - val_risk_out_loss: -45.4383\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 322us/step - loss: 2.0058e-05 - risk_out_loss: 2.0058e-05 - val_loss: -45.9193 - val_risk_out_loss: -45.9193\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 310us/step - loss: 2.0895e-05 - risk_out_loss: 2.0895e-05 - val_loss: -46.3074 - val_risk_out_loss: -46.3074\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 333us/step - loss: 5.7793e-05 - risk_out_loss: 5.7793e-05 - val_loss: -46.6558 - val_risk_out_loss: -46.6558\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 356us/step - loss: 7.2164e-06 - risk_out_loss: 7.2164e-06 - val_loss: -46.9291 - val_risk_out_loss: -46.9291\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 356us/step - loss: 5.8668e-06 - risk_out_loss: 5.8668e-06 - val_loss: -47.1877 - val_risk_out_loss: -47.1877\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 322us/step - loss: 1.3752e-05 - risk_out_loss: 1.3752e-05 - val_loss: -47.3917 - val_risk_out_loss: -47.3917\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 264us/step - loss: 3.2900e-05 - risk_out_loss: 3.2900e-05 - val_loss: -47.5836 - val_risk_out_loss: -47.5836\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 287us/step - loss: 3.0340e-05 - risk_out_loss: 3.0340e-05 - val_loss: -47.7450 - val_risk_out_loss: -47.7450\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 253us/step - loss: 4.3440e-05 - risk_out_loss: 4.3440e-05 - val_loss: -47.8914 - val_risk_out_loss: -47.8914\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 299us/step - loss: 2.6573e-05 - risk_out_loss: 2.6573e-05 - val_loss: -48.0074 - val_risk_out_loss: -48.0074\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 276us/step - loss: 2.6128e-05 - risk_out_loss: 2.6128e-05 - val_loss: -48.1138 - val_risk_out_loss: -48.1138\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 310us/step - loss: 2.3009e-05 - risk_out_loss: 2.3009e-05 - val_loss: -48.2210 - val_risk_out_loss: -48.2210\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 310us/step - loss: 2.0559e-05 - risk_out_loss: 2.0559e-05 - val_loss: -48.3112 - val_risk_out_loss: -48.3112\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 299us/step - loss: 1.7531e-05 - risk_out_loss: 1.7531e-05 - val_loss: -48.3921 - val_risk_out_loss: -48.3921\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 287us/step - loss: 1.9048e-04 - risk_out_loss: 1.9048e-04 - val_loss: -48.4656 - val_risk_out_loss: -48.4656\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 299us/step - loss: 6.3732e-05 - risk_out_loss: 6.3732e-05 - val_loss: -48.5300 - val_risk_out_loss: -48.5300\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 299us/step - loss: 4.4470e-05 - risk_out_loss: 4.4470e-05 - val_loss: -48.5910 - val_risk_out_loss: -48.5910\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 287us/step - loss: 3.5333e-05 - risk_out_loss: 3.5333e-05 - val_loss: -48.6513 - val_risk_out_loss: -48.6513\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 333us/step - loss: 6.5930e-05 - risk_out_loss: 6.5930e-05 - val_loss: -48.6996 - val_risk_out_loss: -48.6996\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 299us/step - loss: 1.1521e-04 - risk_out_loss: 1.1521e-04 - val_loss: -48.7496 - val_risk_out_loss: -48.7496\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 299us/step - loss: 3.7814e-05 - risk_out_loss: 3.7814e-05 - val_loss: -48.7978 - val_risk_out_loss: -48.7978\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 310us/step - loss: 2.0569e-05 - risk_out_loss: 2.0569e-05 - val_loss: -48.8357 - val_risk_out_loss: -48.8357\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 299us/step - loss: 4.5436e-05 - risk_out_loss: 4.5436e-05 - val_loss: -48.8709 - val_risk_out_loss: -48.8709\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 322us/step - loss: 2.0380e-04 - risk_out_loss: 2.0380e-04 - val_loss: -48.9270 - val_risk_out_loss: -48.9270\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 299us/step - loss: 3.3080e-05 - risk_out_loss: 3.3080e-05 - val_loss: -48.9587 - val_risk_out_loss: -48.9587\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 310us/step - loss: 5.7839e-05 - risk_out_loss: 5.7839e-05 - val_loss: -48.9902 - val_risk_out_loss: -48.9902\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 333us/step - loss: 1.5221e-04 - risk_out_loss: 1.5221e-04 - val_loss: -49.0348 - val_risk_out_loss: -49.0348\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 299us/step - loss: 5.4372e-05 - risk_out_loss: 5.4372e-05 - val_loss: -49.0773 - val_risk_out_loss: -49.0773\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 310us/step - loss: 6.3587e-05 - risk_out_loss: 6.3587e-05 - val_loss: -49.1042 - val_risk_out_loss: -49.1042\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 333us/step - loss: 3.4585e-04 - risk_out_loss: 3.4585e-04 - val_loss: -49.1338 - val_risk_out_loss: -49.1338\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 287us/step - loss: 1.3108e-04 - risk_out_loss: 1.3108e-04 - val_loss: -49.1675 - val_risk_out_loss: -49.1675\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 287us/step - loss: 6.1666e-05 - risk_out_loss: 6.1666e-05 - val_loss: -49.1912 - val_risk_out_loss: -49.1912\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 402us/step - loss: 1.4528e-05 - risk_out_loss: 1.4528e-05 - val_loss: -49.2104 - val_risk_out_loss: -49.2104\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 391us/step - loss: 1.0182e-05 - risk_out_loss: 1.0182e-05 - val_loss: -49.2393 - val_risk_out_loss: -49.2393\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 322us/step - loss: 2.2252e-05 - risk_out_loss: 2.2252e-05 - val_loss: -49.2650 - val_risk_out_loss: -49.2650\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 333us/step - loss: 7.9066e-05 - risk_out_loss: 7.9066e-05 - val_loss: -49.2865 - val_risk_out_loss: -49.2865\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 494us/step - loss: 3.5387e-05 - risk_out_loss: 3.5387e-05 - val_loss: -49.3055 - val_risk_out_loss: -49.3055\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 276us/step - loss: 1.5841e-05 - risk_out_loss: 1.5841e-05 - val_loss: -49.3163 - val_risk_out_loss: -49.3163\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 276us/step - loss: 2.5623e-05 - risk_out_loss: 2.5623e-05 - val_loss: -49.3280 - val_risk_out_loss: -49.3280\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 299us/step - loss: 1.8070e-05 - risk_out_loss: 1.8070e-05 - val_loss: -49.3389 - val_risk_out_loss: -49.3389\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 264us/step - loss: 7.1629e-04 - risk_out_loss: 7.1629e-04 - val_loss: -49.3798 - val_risk_out_loss: -49.3798\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 322us/step - loss: 1.6718e-05 - risk_out_loss: 1.6718e-05 - val_loss: -49.4257 - val_risk_out_loss: -49.4257\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 276us/step - loss: 1.4725e-04 - risk_out_loss: 1.4725e-04 - val_loss: -49.4714 - val_risk_out_loss: -49.4714\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 287us/step - loss: 1.2247e-04 - risk_out_loss: 1.2247e-04 - val_loss: -49.5125 - val_risk_out_loss: -49.5125\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 230us/step - loss: 5.1493e-05 - risk_out_loss: 5.1493e-05 - val_loss: -49.5451 - val_risk_out_loss: -49.5451\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 276us/step - loss: 2.4692e-05 - risk_out_loss: 2.4692e-05 - val_loss: -49.5662 - val_risk_out_loss: -49.5662\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 276us/step - loss: 2.1244e-05 - risk_out_loss: 2.1244e-05 - val_loss: -49.5857 - val_risk_out_loss: -49.5857\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 287us/step - loss: 4.6868e-05 - risk_out_loss: 4.6868e-05 - val_loss: -49.6058 - val_risk_out_loss: -49.6058\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 276us/step - loss: 1.0080e-05 - risk_out_loss: 1.0080e-05 - val_loss: -49.6301 - val_risk_out_loss: -49.6301\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 276us/step - loss: 6.7084e-05 - risk_out_loss: 6.7084e-05 - val_loss: -49.6423 - val_risk_out_loss: -49.6423\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 287us/step - loss: 1.7413e-05 - risk_out_loss: 1.7413e-05 - val_loss: -49.6568 - val_risk_out_loss: -49.6568\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 310us/step - loss: 6.4125e-05 - risk_out_loss: 6.4125e-05 - val_loss: -49.6709 - val_risk_out_loss: -49.6709\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 264us/step - loss: 5.2582e-05 - risk_out_loss: 5.2582e-05 - val_loss: -49.6834 - val_risk_out_loss: -49.6834\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 333us/step - loss: 1.5873e-05 - risk_out_loss: 1.5873e-05 - val_loss: -49.6917 - val_risk_out_loss: -49.6917\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 322us/step - loss: 2.9322e-05 - risk_out_loss: 2.9322e-05 - val_loss: -49.7021 - val_risk_out_loss: -49.7021\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 345us/step - loss: 3.4310e-05 - risk_out_loss: 3.4310e-05 - val_loss: -49.7115 - val_risk_out_loss: -49.7115\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 299us/step - loss: 1.3940e-05 - risk_out_loss: 1.3940e-05 - val_loss: -49.7177 - val_risk_out_loss: -49.7177\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 276us/step - loss: 4.3207e-05 - risk_out_loss: 4.3207e-05 - val_loss: -49.7220 - val_risk_out_loss: -49.7220\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 276us/step - loss: 1.2798e-05 - risk_out_loss: 1.2798e-05 - val_loss: -49.7306 - val_risk_out_loss: -49.7306\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 276us/step - loss: 2.0810e-05 - risk_out_loss: 2.0810e-05 - val_loss: -49.7350 - val_risk_out_loss: -49.7350\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 391us/step - loss: 1.2646e-05 - risk_out_loss: 1.2646e-05 - val_loss: -49.7401 - val_risk_out_loss: -49.7401\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 264us/step - loss: 3.5534e-05 - risk_out_loss: 3.5534e-05 - val_loss: -49.7528 - val_risk_out_loss: -49.7528\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "85/85 [==============================] - 0s 276us/step - loss: 1.4963e-05 - risk_out_loss: 1.4963e-05 - val_loss: -49.7623 - val_risk_out_loss: -49.7623\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 299us/step - loss: 2.5347e-05 - risk_out_loss: 2.5347e-05 - val_loss: -49.7656 - val_risk_out_loss: -49.7656\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 322us/step - loss: 1.9405e-05 - risk_out_loss: 1.9405e-05 - val_loss: -49.7703 - val_risk_out_loss: -49.7703\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 253us/step - loss: 2.4819e-05 - risk_out_loss: 2.4819e-05 - val_loss: -49.7735 - val_risk_out_loss: -49.7735\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 310us/step - loss: 2.5643e-05 - risk_out_loss: 2.5643e-05 - val_loss: -49.7785 - val_risk_out_loss: -49.7785\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 276us/step - loss: 1.6187e-05 - risk_out_loss: 1.6187e-05 - val_loss: -49.7817 - val_risk_out_loss: -49.7817\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 287us/step - loss: 7.0253e-05 - risk_out_loss: 7.0253e-05 - val_loss: -49.7853 - val_risk_out_loss: -49.7853\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 287us/step - loss: 3.4500e-05 - risk_out_loss: 3.4500e-05 - val_loss: -49.7907 - val_risk_out_loss: -49.7907\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 287us/step - loss: 2.4446e-05 - risk_out_loss: 2.4446e-05 - val_loss: -49.7932 - val_risk_out_loss: -49.7932\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 264us/step - loss: 1.8030e-05 - risk_out_loss: 1.8030e-05 - val_loss: -49.7970 - val_risk_out_loss: -49.7970\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 310us/step - loss: 2.6030e-05 - risk_out_loss: 2.6030e-05 - val_loss: -49.7995 - val_risk_out_loss: -49.7995\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 276us/step - loss: 6.6573e-06 - risk_out_loss: 6.6573e-06 - val_loss: -49.8078 - val_risk_out_loss: -49.8078\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 299us/step - loss: 1.1376e-04 - risk_out_loss: 1.1376e-04 - val_loss: -49.8054 - val_risk_out_loss: -49.8054\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 322us/step - loss: 7.4253e-04 - risk_out_loss: 7.4253e-04 - val_loss: -49.8620 - val_risk_out_loss: -49.8620\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 356us/step - loss: 9.7940e-06 - risk_out_loss: 9.7940e-06 - val_loss: -49.8970 - val_risk_out_loss: -49.8970\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 287us/step - loss: 6.6088e-06 - risk_out_loss: 6.6088e-06 - val_loss: -49.9357 - val_risk_out_loss: -49.9357\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 356us/step - loss: 2.6170e-05 - risk_out_loss: 2.6170e-05 - val_loss: -49.9694 - val_risk_out_loss: -49.9694\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 276us/step - loss: 1.0563e-04 - risk_out_loss: 1.0563e-04 - val_loss: -50.0011 - val_risk_out_loss: -50.0011\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 276us/step - loss: 2.6110e-04 - risk_out_loss: 2.6110e-04 - val_loss: -50.0152 - val_risk_out_loss: -50.0152\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 287us/step - loss: 1.5247e-05 - risk_out_loss: 1.5247e-05 - val_loss: -50.0304 - val_risk_out_loss: -50.0304\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 276us/step - loss: 2.9907e-05 - risk_out_loss: 2.9907e-05 - val_loss: -50.0441 - val_risk_out_loss: -50.0441\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 299us/step - loss: 2.8378e-05 - risk_out_loss: 2.8378e-05 - val_loss: -50.0582 - val_risk_out_loss: -50.0582\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 299us/step - loss: 9.8892e-06 - risk_out_loss: 9.8892e-06 - val_loss: -50.0686 - val_risk_out_loss: -50.0686\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 322us/step - loss: 2.0117e-04 - risk_out_loss: 2.0117e-04 - val_loss: -50.0685 - val_risk_out_loss: -50.0685\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 276us/step - loss: 1.5344e-05 - risk_out_loss: 1.5344e-05 - val_loss: -50.0739 - val_risk_out_loss: -50.0739\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 299us/step - loss: 6.0746e-06 - risk_out_loss: 6.0746e-06 - val_loss: -50.0777 - val_risk_out_loss: -50.0777\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 287us/step - loss: 1.8133e-05 - risk_out_loss: 1.8133e-05 - val_loss: -50.0824 - val_risk_out_loss: -50.0824\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 310us/step - loss: 2.1422e-05 - risk_out_loss: 2.1422e-05 - val_loss: -50.0877 - val_risk_out_loss: -50.0877\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 310us/step - loss: 3.0878e-05 - risk_out_loss: 3.0878e-05 - val_loss: -50.0914 - val_risk_out_loss: -50.0914\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 322us/step - loss: 4.4455e-05 - risk_out_loss: 4.4455e-05 - val_loss: -50.0934 - val_risk_out_loss: -50.0934\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 333us/step - loss: 2.9417e-05 - risk_out_loss: 2.9417e-05 - val_loss: -50.0946 - val_risk_out_loss: -50.0946\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 333us/step - loss: 2.3068e-05 - risk_out_loss: 2.3068e-05 - val_loss: -50.0959 - val_risk_out_loss: -50.0959\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 276us/step - loss: 1.1702e-05 - risk_out_loss: 1.1702e-05 - val_loss: -50.0980 - val_risk_out_loss: -50.0980\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 310us/step - loss: 4.1021e-05 - risk_out_loss: 4.1021e-05 - val_loss: -50.0945 - val_risk_out_loss: -50.0945\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 322us/step - loss: 9.4281e-05 - risk_out_loss: 9.4281e-05 - val_loss: -50.0964 - val_risk_out_loss: -50.0964\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 299us/step - loss: 2.0324e-05 - risk_out_loss: 2.0324e-05 - val_loss: -50.1064 - val_risk_out_loss: -50.1064\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 276us/step - loss: 1.7298e-05 - risk_out_loss: 1.7298e-05 - val_loss: -50.1081 - val_risk_out_loss: -50.1081\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 287us/step - loss: 0.0020 - risk_out_loss: 0.0020 - val_loss: -50.0548 - val_risk_out_loss: -50.0548\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 276us/step - loss: 2.1596e-05 - risk_out_loss: 2.1596e-05 - val_loss: -50.0188 - val_risk_out_loss: -50.0188\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 322us/step - loss: 0.0013 - risk_out_loss: 0.0013 - val_loss: -49.9184 - val_risk_out_loss: -49.9184\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 368us/step - loss: 7.3169e-06 - risk_out_loss: 7.3169e-06 - val_loss: -49.8350 - val_risk_out_loss: -49.8350\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 287us/step - loss: 1.4952e-05 - risk_out_loss: 1.4952e-05 - val_loss: -49.7687 - val_risk_out_loss: -49.7687\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 287us/step - loss: 1.9353e-05 - risk_out_loss: 1.9353e-05 - val_loss: -49.6894 - val_risk_out_loss: -49.6894\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 310us/step - loss: 9.1396e-06 - risk_out_loss: 9.1396e-06 - val_loss: -49.6296 - val_risk_out_loss: -49.6296\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 333us/step - loss: 5.5331e-05 - risk_out_loss: 5.5331e-05 - val_loss: -49.5534 - val_risk_out_loss: -49.5534\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 345us/step - loss: 6.1200e-05 - risk_out_loss: 6.1200e-05 - val_loss: -49.4907 - val_risk_out_loss: -49.4907\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 264us/step - loss: 7.8483e-06 - risk_out_loss: 7.8483e-06 - val_loss: -49.4487 - val_risk_out_loss: -49.4487\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 287us/step - loss: 4.0134e-05 - risk_out_loss: 4.0134e-05 - val_loss: -49.4107 - val_risk_out_loss: -49.4107\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 299us/step - loss: 3.1663e-05 - risk_out_loss: 3.1663e-05 - val_loss: -49.3710 - val_risk_out_loss: -49.3710\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 322us/step - loss: 1.9916e-05 - risk_out_loss: 1.9916e-05 - val_loss: -49.3349 - val_risk_out_loss: -49.3349\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 287us/step - loss: 7.2781e-04 - risk_out_loss: 7.2781e-04 - val_loss: -49.3316 - val_risk_out_loss: -49.3316\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 322us/step - loss: 6.1043e-05 - risk_out_loss: 6.1043e-05 - val_loss: -49.3343 - val_risk_out_loss: -49.3343\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 322us/step - loss: 1.1691e-04 - risk_out_loss: 1.1691e-04 - val_loss: -49.3342 - val_risk_out_loss: -49.3342\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 310us/step - loss: 8.1537e-06 - risk_out_loss: 8.1537e-06 - val_loss: -49.3432 - val_risk_out_loss: -49.3432\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 287us/step - loss: 8.5007e-06 - risk_out_loss: 8.5007e-06 - val_loss: -49.3494 - val_risk_out_loss: -49.3494\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 287us/step - loss: 2.2331e-05 - risk_out_loss: 2.2331e-05 - val_loss: -49.3528 - val_risk_out_loss: -49.3528\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 253us/step - loss: 5.2698e-04 - risk_out_loss: 5.2698e-04 - val_loss: -49.3747 - val_risk_out_loss: -49.3747\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 368us/step - loss: 8.0286e-06 - risk_out_loss: 8.0286e-06 - val_loss: -49.3966 - val_risk_out_loss: -49.3966\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 333us/step - loss: 9.9354e-06 - risk_out_loss: 9.9354e-06 - val_loss: -49.4202 - val_risk_out_loss: -49.4202\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 310us/step - loss: 7.4825e-06 - risk_out_loss: 7.4825e-06 - val_loss: -49.4324 - val_risk_out_loss: -49.4324\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 310us/step - loss: 0.0114 - risk_out_loss: 0.0114 - val_loss: -49.8052 - val_risk_out_loss: -49.8052\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 287us/step - loss: 1.3742e-05 - risk_out_loss: 1.3742e-05 - val_loss: -50.1116 - val_risk_out_loss: -50.1116\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 299us/step - loss: 1.0612e-05 - risk_out_loss: 1.0612e-05 - val_loss: -50.3555 - val_risk_out_loss: -50.3555\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 333us/step - loss: 5.5631e-05 - risk_out_loss: 5.5631e-05 - val_loss: -50.5597 - val_risk_out_loss: -50.5597\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 276us/step - loss: 0.0017 - risk_out_loss: 0.0017 - val_loss: -50.6737 - val_risk_out_loss: -50.6737\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 368us/step - loss: 1.7180e-05 - risk_out_loss: 1.7180e-05 - val_loss: -50.7685 - val_risk_out_loss: -50.7685\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 333us/step - loss: 1.8759e-05 - risk_out_loss: 1.8759e-05 - val_loss: -50.8558 - val_risk_out_loss: -50.8558\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 310us/step - loss: 1.7982e-05 - risk_out_loss: 1.7982e-05 - val_loss: -50.9328 - val_risk_out_loss: -50.9328\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 322us/step - loss: 1.5076e-04 - risk_out_loss: 1.5076e-04 - val_loss: -50.9923 - val_risk_out_loss: -50.9923\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 310us/step - loss: 4.4772e-05 - risk_out_loss: 4.4772e-05 - val_loss: -51.0400 - val_risk_out_loss: -51.0400\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 264us/step - loss: 0.0028 - risk_out_loss: 0.0028 - val_loss: -51.0723 - val_risk_out_loss: -51.0723\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 276us/step - loss: 3.8735e-05 - risk_out_loss: 3.8735e-05 - val_loss: -51.0961 - val_risk_out_loss: -51.0961\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 276us/step - loss: 3.5554e-05 - risk_out_loss: 3.5554e-05 - val_loss: -51.1135 - val_risk_out_loss: -51.1135\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 310us/step - loss: 1.4739e-05 - risk_out_loss: 1.4739e-05 - val_loss: -51.1337 - val_risk_out_loss: -51.1337\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 253us/step - loss: 1.9966e-05 - risk_out_loss: 1.9966e-05 - val_loss: -51.1465 - val_risk_out_loss: -51.1465\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 264us/step - loss: 1.3206e-05 - risk_out_loss: 1.3206e-05 - val_loss: -51.1643 - val_risk_out_loss: -51.1643\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 253us/step - loss: 5.3480e-05 - risk_out_loss: 5.3480e-05 - val_loss: -51.1758 - val_risk_out_loss: -51.1758\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 276us/step - loss: 3.3592e-05 - risk_out_loss: 3.3592e-05 - val_loss: -51.1840 - val_risk_out_loss: -51.1840\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 299us/step - loss: 1.9539e-05 - risk_out_loss: 1.9539e-05 - val_loss: -51.1900 - val_risk_out_loss: -51.1900\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 299us/step - loss: 2.0248e-05 - risk_out_loss: 2.0248e-05 - val_loss: -51.2028 - val_risk_out_loss: -51.2028\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 276us/step - loss: 3.4171e-06 - risk_out_loss: 3.4171e-06 - val_loss: -51.2098 - val_risk_out_loss: -51.2098\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 287us/step - loss: 1.4064e-05 - risk_out_loss: 1.4064e-05 - val_loss: -51.2165 - val_risk_out_loss: -51.2165\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 287us/step - loss: 8.6944e-04 - risk_out_loss: 8.6944e-04 - val_loss: -51.2132 - val_risk_out_loss: -51.2132\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 299us/step - loss: 1.8652e-05 - risk_out_loss: 1.8652e-05 - val_loss: -51.2103 - val_risk_out_loss: -51.2103\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 310us/step - loss: 6.3817e-05 - risk_out_loss: 6.3817e-05 - val_loss: -51.2076 - val_risk_out_loss: -51.2076\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 310us/step - loss: 4.9570e-05 - risk_out_loss: 4.9570e-05 - val_loss: -51.2046 - val_risk_out_loss: -51.2046\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 287us/step - loss: 0.0023 - risk_out_loss: 0.0023 - val_loss: -51.1193 - val_risk_out_loss: -51.1193\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 299us/step - loss: 3.2788e-05 - risk_out_loss: 3.2788e-05 - val_loss: -51.0434 - val_risk_out_loss: -51.0434\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 299us/step - loss: 1.5919e-04 - risk_out_loss: 1.5919e-04 - val_loss: -50.9672 - val_risk_out_loss: -50.9672\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 264us/step - loss: 1.9944e-05 - risk_out_loss: 1.9944e-05 - val_loss: -50.8867 - val_risk_out_loss: -50.8867\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 368us/step - loss: 1.0667e-04 - risk_out_loss: 1.0667e-04 - val_loss: -50.8237 - val_risk_out_loss: -50.8237\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 356us/step - loss: 4.8297e-05 - risk_out_loss: 4.8297e-05 - val_loss: -50.7517 - val_risk_out_loss: -50.7517\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 287us/step - loss: 3.4297e-05 - risk_out_loss: 3.4297e-05 - val_loss: -50.6846 - val_risk_out_loss: -50.6846\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 299us/step - loss: 0.0102 - risk_out_loss: 0.0102 - val_loss: -50.5166 - val_risk_out_loss: -50.5166\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 287us/step - loss: 8.5650e-05 - risk_out_loss: 8.5650e-05 - val_loss: -50.3587 - val_risk_out_loss: -50.3587\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 264us/step - loss: 2.6495e-05 - risk_out_loss: 2.6495e-05 - val_loss: -50.2150 - val_risk_out_loss: -50.2150\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 264us/step - loss: 7.0902e-06 - risk_out_loss: 7.0902e-06 - val_loss: -50.0535 - val_risk_out_loss: -50.0535\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 322us/step - loss: 1.1094e-05 - risk_out_loss: 1.1094e-05 - val_loss: -49.9130 - val_risk_out_loss: -49.9130\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 391us/step - loss: 4.4455e-06 - risk_out_loss: 4.4455e-06 - val_loss: -49.7744 - val_risk_out_loss: -49.7744\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 368us/step - loss: 9.7938e-06 - risk_out_loss: 9.7938e-06 - val_loss: -49.6442 - val_risk_out_loss: -49.6442\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 287us/step - loss: 8.0448e-04 - risk_out_loss: 8.0448e-04 - val_loss: -49.4604 - val_risk_out_loss: -49.4604\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 264us/step - loss: 4.5828e-06 - risk_out_loss: 4.5828e-06 - val_loss: -49.3068 - val_risk_out_loss: -49.3068\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 299us/step - loss: 2.6795e-05 - risk_out_loss: 2.6795e-05 - val_loss: -49.1721 - val_risk_out_loss: -49.1721\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 264us/step - loss: 1.8746e-05 - risk_out_loss: 1.8746e-05 - val_loss: -49.0264 - val_risk_out_loss: -49.0264\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 299us/step - loss: 4.4291e-06 - risk_out_loss: 4.4291e-06 - val_loss: -48.9054 - val_risk_out_loss: -48.9054\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 253us/step - loss: 3.7902e-06 - risk_out_loss: 3.7902e-06 - val_loss: -48.8021 - val_risk_out_loss: -48.8021\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 310us/step - loss: 1.5390e-04 - risk_out_loss: 1.5390e-04 - val_loss: -48.6968 - val_risk_out_loss: -48.6968\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 287us/step - loss: 7.0198e-05 - risk_out_loss: 7.0198e-05 - val_loss: -48.6139 - val_risk_out_loss: -48.6139\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 276us/step - loss: 1.4922e-05 - risk_out_loss: 1.4922e-05 - val_loss: -48.5441 - val_risk_out_loss: -48.5441\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 253us/step - loss: 9.7488e-06 - risk_out_loss: 9.7488e-06 - val_loss: -48.4580 - val_risk_out_loss: -48.4580\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 241us/step - loss: 5.9401e-04 - risk_out_loss: 5.9401e-04 - val_loss: -48.4254 - val_risk_out_loss: -48.4254\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 287us/step - loss: 4.4229e-06 - risk_out_loss: 4.4229e-06 - val_loss: -48.3926 - val_risk_out_loss: -48.3926\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 264us/step - loss: 1.0501e-05 - risk_out_loss: 1.0501e-05 - val_loss: -48.3660 - val_risk_out_loss: -48.3660\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 276us/step - loss: 0.0034 - risk_out_loss: 0.0034 - val_loss: -48.6640 - val_risk_out_loss: -48.6640\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 264us/step - loss: 3.1071e-06 - risk_out_loss: 3.1071e-06 - val_loss: -48.8780 - val_risk_out_loss: -48.8780\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 253us/step - loss: 2.0305e-06 - risk_out_loss: 2.0305e-06 - val_loss: -49.0837 - val_risk_out_loss: -49.0837\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 310us/step - loss: 1.6290e-05 - risk_out_loss: 1.6290e-05 - val_loss: -49.2456 - val_risk_out_loss: -49.2456\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 310us/step - loss: 2.7052e-06 - risk_out_loss: 2.7052e-06 - val_loss: -49.3901 - val_risk_out_loss: -49.3901\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 264us/step - loss: 2.1726e-05 - risk_out_loss: 2.1726e-05 - val_loss: -49.5078 - val_risk_out_loss: -49.5078\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 264us/step - loss: 1.4733e-05 - risk_out_loss: 1.4733e-05 - val_loss: -49.6074 - val_risk_out_loss: -49.6074\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 310us/step - loss: 2.0265e-05 - risk_out_loss: 2.0265e-05 - val_loss: -49.6982 - val_risk_out_loss: -49.6982\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 333us/step - loss: 9.1194e-06 - risk_out_loss: 9.1194e-06 - val_loss: -49.7906 - val_risk_out_loss: -49.7906\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 264us/step - loss: 2.2459e-05 - risk_out_loss: 2.2459e-05 - val_loss: -49.8634 - val_risk_out_loss: -49.8634\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 299us/step - loss: 5.6755e-05 - risk_out_loss: 5.6755e-05 - val_loss: -49.9246 - val_risk_out_loss: -49.9246\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 276us/step - loss: 2.2640e-05 - risk_out_loss: 2.2640e-05 - val_loss: -49.9743 - val_risk_out_loss: -49.9743\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 276us/step - loss: 3.1721e-05 - risk_out_loss: 3.1721e-05 - val_loss: -50.0170 - val_risk_out_loss: -50.0170\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 264us/step - loss: 3.1293e-05 - risk_out_loss: 3.1293e-05 - val_loss: -50.0596 - val_risk_out_loss: -50.0596\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 276us/step - loss: 2.5710e-05 - risk_out_loss: 2.5710e-05 - val_loss: -50.0975 - val_risk_out_loss: -50.0975\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 253us/step - loss: 4.7834e-05 - risk_out_loss: 4.7834e-05 - val_loss: -50.1306 - val_risk_out_loss: -50.1306\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 264us/step - loss: 6.0166e-06 - risk_out_loss: 6.0166e-06 - val_loss: -50.1623 - val_risk_out_loss: -50.1623\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 368us/step - loss: 1.8293e-05 - risk_out_loss: 1.8293e-05 - val_loss: -50.1900 - val_risk_out_loss: -50.1900\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 287us/step - loss: 1.1513e-05 - risk_out_loss: 1.1513e-05 - val_loss: -50.2109 - val_risk_out_loss: -50.2109\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 241us/step - loss: 1.3490e-05 - risk_out_loss: 1.3490e-05 - val_loss: -50.2368 - val_risk_out_loss: -50.2368\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 310us/step - loss: 3.0413e-05 - risk_out_loss: 3.0413e-05 - val_loss: -50.2540 - val_risk_out_loss: -50.2540\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 276us/step - loss: 2.0883e-05 - risk_out_loss: 2.0883e-05 - val_loss: -50.2670 - val_risk_out_loss: -50.2670\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 287us/step - loss: 2.8447e-05 - risk_out_loss: 2.8447e-05 - val_loss: -50.2833 - val_risk_out_loss: -50.2833\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 253us/step - loss: 2.8437e-05 - risk_out_loss: 2.8437e-05 - val_loss: -50.2950 - val_risk_out_loss: -50.2950\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 253us/step - loss: 5.9820e-05 - risk_out_loss: 5.9820e-05 - val_loss: -50.3054 - val_risk_out_loss: -50.3054\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 276us/step - loss: 9.0601e-06 - risk_out_loss: 9.0601e-06 - val_loss: -50.3153 - val_risk_out_loss: -50.3153\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 264us/step - loss: 8.3548e-06 - risk_out_loss: 8.3548e-06 - val_loss: -50.3241 - val_risk_out_loss: -50.3241\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 299us/step - loss: 8.5652e-06 - risk_out_loss: 8.5652e-06 - val_loss: -50.3335 - val_risk_out_loss: -50.3335\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 299us/step - loss: 8.1927e-06 - risk_out_loss: 8.1927e-06 - val_loss: -50.3434 - val_risk_out_loss: -50.3434\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 287us/step - loss: 7.9959e-06 - risk_out_loss: 7.9959e-06 - val_loss: -50.3477 - val_risk_out_loss: -50.3477\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 310us/step - loss: 1.0822e-05 - risk_out_loss: 1.0822e-05 - val_loss: -50.3525 - val_risk_out_loss: -50.3525\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 253us/step - loss: 2.5355e-05 - risk_out_loss: 2.5355e-05 - val_loss: -50.3630 - val_risk_out_loss: -50.3630\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 264us/step - loss: 1.9117e-04 - risk_out_loss: 1.9117e-04 - val_loss: -50.3642 - val_risk_out_loss: -50.3642\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 253us/step - loss: 1.3411e-05 - risk_out_loss: 1.3411e-05 - val_loss: -50.3631 - val_risk_out_loss: -50.3631\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 310us/step - loss: 7.0389e-06 - risk_out_loss: 7.0389e-06 - val_loss: -50.3627 - val_risk_out_loss: -50.3627\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 299us/step - loss: 1.1486e-05 - risk_out_loss: 1.1486e-05 - val_loss: -50.3632 - val_risk_out_loss: -50.3632\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 287us/step - loss: 1.0782e-05 - risk_out_loss: 1.0782e-05 - val_loss: -50.3627 - val_risk_out_loss: -50.3627\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 253us/step - loss: 8.9316e-05 - risk_out_loss: 8.9316e-05 - val_loss: -50.3653 - val_risk_out_loss: -50.3653\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 299us/step - loss: 3.7952e-05 - risk_out_loss: 3.7952e-05 - val_loss: -50.3615 - val_risk_out_loss: -50.3615\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 264us/step - loss: 3.5104e-05 - risk_out_loss: 3.5104e-05 - val_loss: -50.3605 - val_risk_out_loss: -50.3605\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 310us/step - loss: 1.3277e-05 - risk_out_loss: 1.3277e-05 - val_loss: -50.3596 - val_risk_out_loss: -50.3596\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 333us/step - loss: 4.0911e-04 - risk_out_loss: 4.0911e-04 - val_loss: -50.3465 - val_risk_out_loss: -50.3465\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 287us/step - loss: 2.1795e-05 - risk_out_loss: 2.1795e-05 - val_loss: -50.3430 - val_risk_out_loss: -50.3430\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 310us/step - loss: 5.9467e-05 - risk_out_loss: 5.9467e-05 - val_loss: -50.3416 - val_risk_out_loss: -50.3416\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 299us/step - loss: 1.4696e-05 - risk_out_loss: 1.4696e-05 - val_loss: -50.3451 - val_risk_out_loss: -50.3451\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 276us/step - loss: 0.0019 - risk_out_loss: 0.0019 - val_loss: -50.2850 - val_risk_out_loss: -50.2850\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "85/85 [==============================] - 0s 287us/step - loss: 1.3702e-05 - risk_out_loss: 1.3702e-05 - val_loss: -50.2356 - val_risk_out_loss: -50.2356\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 299us/step - loss: 6.2304e-06 - risk_out_loss: 6.2304e-06 - val_loss: -50.1935 - val_risk_out_loss: -50.1935\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 322us/step - loss: 1.5589e-04 - risk_out_loss: 1.5589e-04 - val_loss: -50.1461 - val_risk_out_loss: -50.1461\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 299us/step - loss: 3.1402e-05 - risk_out_loss: 3.1402e-05 - val_loss: -50.1178 - val_risk_out_loss: -50.1178\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 299us/step - loss: 1.4144e-05 - risk_out_loss: 1.4144e-05 - val_loss: -50.0868 - val_risk_out_loss: -50.0868\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 276us/step - loss: 9.5539e-06 - risk_out_loss: 9.5539e-06 - val_loss: -50.0573 - val_risk_out_loss: -50.0573\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 310us/step - loss: 1.8164e-05 - risk_out_loss: 1.8164e-05 - val_loss: -50.0330 - val_risk_out_loss: -50.0330\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 287us/step - loss: 1.0327e-05 - risk_out_loss: 1.0327e-05 - val_loss: -50.0018 - val_risk_out_loss: -50.0018\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 276us/step - loss: 3.3438e-06 - risk_out_loss: 3.3438e-06 - val_loss: -49.9844 - val_risk_out_loss: -49.9844\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 368us/step - loss: 0.0086 - risk_out_loss: 0.0086 - val_loss: -50.1612 - val_risk_out_loss: -50.1612\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 413us/step - loss: 7.6428e-05 - risk_out_loss: 7.6428e-05 - val_loss: -50.3098 - val_risk_out_loss: -50.3098\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 333us/step - loss: 8.1917e-05 - risk_out_loss: 8.1917e-05 - val_loss: -50.4666 - val_risk_out_loss: -50.4666\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 264us/step - loss: 1.6677e-05 - risk_out_loss: 1.6677e-05 - val_loss: -50.5858 - val_risk_out_loss: -50.5858\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 276us/step - loss: 2.5466e-05 - risk_out_loss: 2.5466e-05 - val_loss: -50.6839 - val_risk_out_loss: -50.6839\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 276us/step - loss: 9.0336e-06 - risk_out_loss: 9.0336e-06 - val_loss: -50.7763 - val_risk_out_loss: -50.7763\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 276us/step - loss: 1.0981e-05 - risk_out_loss: 1.0981e-05 - val_loss: -50.8757 - val_risk_out_loss: -50.8757\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 276us/step - loss: 2.4259e-04 - risk_out_loss: 2.4259e-04 - val_loss: -50.9338 - val_risk_out_loss: -50.9338\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 299us/step - loss: 4.7353e-05 - risk_out_loss: 4.7353e-05 - val_loss: -50.9932 - val_risk_out_loss: -50.9932\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 264us/step - loss: 1.9900e-04 - risk_out_loss: 1.9900e-04 - val_loss: -51.0444 - val_risk_out_loss: -51.0444\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 299us/step - loss: 1.5712e-05 - risk_out_loss: 1.5712e-05 - val_loss: -51.0976 - val_risk_out_loss: -51.0976\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 356us/step - loss: 2.9985e-05 - risk_out_loss: 2.9985e-05 - val_loss: -51.1361 - val_risk_out_loss: -51.1361\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 322us/step - loss: 1.8887e-05 - risk_out_loss: 1.8887e-05 - val_loss: -51.1772 - val_risk_out_loss: -51.1772\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 322us/step - loss: 9.4909e-06 - risk_out_loss: 9.4909e-06 - val_loss: -51.2076 - val_risk_out_loss: -51.2076\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 322us/step - loss: 1.6683e-05 - risk_out_loss: 1.6683e-05 - val_loss: -51.2398 - val_risk_out_loss: -51.2398\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 299us/step - loss: 1.6487e-05 - risk_out_loss: 1.6487e-05 - val_loss: -51.2671 - val_risk_out_loss: -51.2671\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 264us/step - loss: 2.7546e-05 - risk_out_loss: 2.7546e-05 - val_loss: -51.2937 - val_risk_out_loss: -51.2937\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 368us/step - loss: 1.5303e-05 - risk_out_loss: 1.5303e-05 - val_loss: -51.3087 - val_risk_out_loss: -51.3087\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 345us/step - loss: 1.1009e-05 - risk_out_loss: 1.1009e-05 - val_loss: -51.3269 - val_risk_out_loss: -51.3269\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 322us/step - loss: 6.5940e-05 - risk_out_loss: 6.5940e-05 - val_loss: -51.3396 - val_risk_out_loss: -51.3396\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 310us/step - loss: 6.8668e-05 - risk_out_loss: 6.8668e-05 - val_loss: -51.3514 - val_risk_out_loss: -51.3514\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 276us/step - loss: 1.0878e-05 - risk_out_loss: 1.0878e-05 - val_loss: -51.3625 - val_risk_out_loss: -51.3625\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 299us/step - loss: 1.8659e-04 - risk_out_loss: 1.8659e-04 - val_loss: -51.3659 - val_risk_out_loss: -51.3659\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 287us/step - loss: 1.8145e-05 - risk_out_loss: 1.8145e-05 - val_loss: -51.3712 - val_risk_out_loss: -51.3712\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 310us/step - loss: 3.9922e-05 - risk_out_loss: 3.9922e-05 - val_loss: -51.3774 - val_risk_out_loss: -51.3774\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 299us/step - loss: 7.2625e-06 - risk_out_loss: 7.2625e-06 - val_loss: -51.3828 - val_risk_out_loss: -51.3828\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 333us/step - loss: 9.4985e-06 - risk_out_loss: 9.4985e-06 - val_loss: -51.3917 - val_risk_out_loss: -51.3917\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 333us/step - loss: 6.4724e-05 - risk_out_loss: 6.4724e-05 - val_loss: -51.3923 - val_risk_out_loss: -51.3923\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 356us/step - loss: 2.4012e-05 - risk_out_loss: 2.4012e-05 - val_loss: -51.3942 - val_risk_out_loss: -51.3942\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 356us/step - loss: 1.5398e-05 - risk_out_loss: 1.5398e-05 - val_loss: -51.3962 - val_risk_out_loss: -51.3962\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 276us/step - loss: 1.1313e-05 - risk_out_loss: 1.1313e-05 - val_loss: -51.3994 - val_risk_out_loss: -51.3994\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 264us/step - loss: 1.5951e-05 - risk_out_loss: 1.5951e-05 - val_loss: -51.3996 - val_risk_out_loss: -51.3996\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 264us/step - loss: 1.4160e-05 - risk_out_loss: 1.4160e-05 - val_loss: -51.4006 - val_risk_out_loss: -51.4006\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 310us/step - loss: 3.6999e-05 - risk_out_loss: 3.6999e-05 - val_loss: -51.4021 - val_risk_out_loss: -51.4021\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 310us/step - loss: 2.3395e-05 - risk_out_loss: 2.3395e-05 - val_loss: -51.4016 - val_risk_out_loss: -51.4016\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 310us/step - loss: 5.5219e-06 - risk_out_loss: 5.5219e-06 - val_loss: -51.4018 - val_risk_out_loss: -51.4018\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 287us/step - loss: 7.3495e-06 - risk_out_loss: 7.3495e-06 - val_loss: -51.4019 - val_risk_out_loss: -51.4019\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 356us/step - loss: 1.6068e-05 - risk_out_loss: 1.6068e-05 - val_loss: -51.4025 - val_risk_out_loss: -51.4025\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 287us/step - loss: 4.2132e-05 - risk_out_loss: 4.2132e-05 - val_loss: -51.4022 - val_risk_out_loss: -51.4022\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 287us/step - loss: 1.3152e-05 - risk_out_loss: 1.3152e-05 - val_loss: -51.4022 - val_risk_out_loss: -51.4022\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 322us/step - loss: 3.8679e-05 - risk_out_loss: 3.8679e-05 - val_loss: -51.4028 - val_risk_out_loss: -51.4028\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 253us/step - loss: 4.8204e-06 - risk_out_loss: 4.8204e-06 - val_loss: -51.4041 - val_risk_out_loss: -51.4041\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 287us/step - loss: 6.9832e-06 - risk_out_loss: 6.9832e-06 - val_loss: -51.4077 - val_risk_out_loss: -51.4077\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 241us/step - loss: 1.1525e-05 - risk_out_loss: 1.1525e-05 - val_loss: -51.4082 - val_risk_out_loss: -51.4082\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 264us/step - loss: 1.5995e-05 - risk_out_loss: 1.5995e-05 - val_loss: -51.4082 - val_risk_out_loss: -51.4082\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 310us/step - loss: 1.9229e-06 - risk_out_loss: 1.9229e-06 - val_loss: -51.4088 - val_risk_out_loss: -51.4088\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 287us/step - loss: 2.7515e-06 - risk_out_loss: 2.7515e-06 - val_loss: -51.4090 - val_risk_out_loss: -51.4090\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 333us/step - loss: 5.4272e-06 - risk_out_loss: 5.4272e-06 - val_loss: -51.4096 - val_risk_out_loss: -51.4096\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 310us/step - loss: 9.8274e-06 - risk_out_loss: 9.8274e-06 - val_loss: -51.4098 - val_risk_out_loss: -51.4098\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 276us/step - loss: 7.8216e-04 - risk_out_loss: 7.8216e-04 - val_loss: -51.3972 - val_risk_out_loss: -51.3972\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 310us/step - loss: 9.8230e-06 - risk_out_loss: 9.8230e-06 - val_loss: -51.3826 - val_risk_out_loss: -51.3826\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 276us/step - loss: 6.3967e-04 - risk_out_loss: 6.3967e-04 - val_loss: -51.3591 - val_risk_out_loss: -51.3591\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 264us/step - loss: 3.2885e-06 - risk_out_loss: 3.2885e-06 - val_loss: -51.3309 - val_risk_out_loss: -51.3309\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 310us/step - loss: 2.4422e-05 - risk_out_loss: 2.4422e-05 - val_loss: -51.3085 - val_risk_out_loss: -51.3085\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 287us/step - loss: 1.2016e-05 - risk_out_loss: 1.2016e-05 - val_loss: -51.2876 - val_risk_out_loss: -51.2876\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 310us/step - loss: 9.7992e-05 - risk_out_loss: 9.7992e-05 - val_loss: -51.2650 - val_risk_out_loss: -51.2650\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 287us/step - loss: 2.8146e-05 - risk_out_loss: 2.8146e-05 - val_loss: -51.2460 - val_risk_out_loss: -51.2460\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 322us/step - loss: 5.0926e-05 - risk_out_loss: 5.0926e-05 - val_loss: -51.2311 - val_risk_out_loss: -51.2311\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 310us/step - loss: 6.3149e-06 - risk_out_loss: 6.3149e-06 - val_loss: -51.2204 - val_risk_out_loss: -51.2204\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 333us/step - loss: 1.3703e-05 - risk_out_loss: 1.3703e-05 - val_loss: -51.1995 - val_risk_out_loss: -51.1995\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 287us/step - loss: 1.1636e-04 - risk_out_loss: 1.1636e-04 - val_loss: -51.1883 - val_risk_out_loss: -51.1883\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 310us/step - loss: 9.6286e-06 - risk_out_loss: 9.6286e-06 - val_loss: -51.1764 - val_risk_out_loss: -51.1764\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 333us/step - loss: 1.3754e-05 - risk_out_loss: 1.3754e-05 - val_loss: -51.1689 - val_risk_out_loss: -51.1689\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 368us/step - loss: 6.1069e-06 - risk_out_loss: 6.1069e-06 - val_loss: -51.1623 - val_risk_out_loss: -51.1623\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 299us/step - loss: 4.6254e-04 - risk_out_loss: 4.6254e-04 - val_loss: -51.1768 - val_risk_out_loss: -51.1768\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 345us/step - loss: 1.6690e-05 - risk_out_loss: 1.6690e-05 - val_loss: -51.1857 - val_risk_out_loss: -51.1857\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 287us/step - loss: 1.2302e-05 - risk_out_loss: 1.2302e-05 - val_loss: -51.2040 - val_risk_out_loss: -51.2040\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 287us/step - loss: 2.3596e-05 - risk_out_loss: 2.3596e-05 - val_loss: -51.2121 - val_risk_out_loss: -51.2121\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 276us/step - loss: 1.7367e-05 - risk_out_loss: 1.7367e-05 - val_loss: -51.2211 - val_risk_out_loss: -51.2211\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 276us/step - loss: 1.2809e-05 - risk_out_loss: 1.2809e-05 - val_loss: -51.2326 - val_risk_out_loss: -51.2326\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "85/85 [==============================] - 0s 322us/step - loss: 1.4818e-05 - risk_out_loss: 1.4818e-05 - val_loss: -51.2403 - val_risk_out_loss: -51.2403\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 287us/step - loss: 1.1665e-05 - risk_out_loss: 1.1665e-05 - val_loss: -51.2501 - val_risk_out_loss: -51.2501\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 310us/step - loss: 3.0883e-05 - risk_out_loss: 3.0883e-05 - val_loss: -51.2550 - val_risk_out_loss: -51.2550\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 264us/step - loss: 1.1627e-05 - risk_out_loss: 1.1627e-05 - val_loss: -51.2688 - val_risk_out_loss: -51.2688\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 310us/step - loss: 5.9285e-06 - risk_out_loss: 5.9285e-06 - val_loss: -51.2727 - val_risk_out_loss: -51.2727\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 276us/step - loss: 7.5686e-06 - risk_out_loss: 7.5686e-06 - val_loss: -51.2745 - val_risk_out_loss: -51.2745\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 310us/step - loss: 3.8224e-06 - risk_out_loss: 3.8224e-06 - val_loss: -51.2785 - val_risk_out_loss: -51.2785\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 345us/step - loss: 6.5386e-06 - risk_out_loss: 6.5386e-06 - val_loss: -51.2809 - val_risk_out_loss: -51.2809\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 322us/step - loss: 1.9747e-04 - risk_out_loss: 1.9747e-04 - val_loss: -51.2799 - val_risk_out_loss: -51.2799\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 322us/step - loss: 2.2445e-05 - risk_out_loss: 2.2445e-05 - val_loss: -51.2791 - val_risk_out_loss: -51.2791\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 310us/step - loss: 5.2480e-06 - risk_out_loss: 5.2480e-06 - val_loss: -51.2782 - val_risk_out_loss: -51.2782\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 322us/step - loss: 8.7355e-06 - risk_out_loss: 8.7355e-06 - val_loss: -51.2775 - val_risk_out_loss: -51.2775\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 264us/step - loss: 2.1725e-04 - risk_out_loss: 2.1725e-04 - val_loss: -51.2744 - val_risk_out_loss: -51.2744\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 253us/step - loss: 1.1882e-05 - risk_out_loss: 1.1882e-05 - val_loss: -51.2723 - val_risk_out_loss: -51.2723\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 333us/step - loss: 1.5207e-05 - risk_out_loss: 1.5207e-05 - val_loss: -51.2694 - val_risk_out_loss: -51.2694\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 310us/step - loss: 1.1002e-05 - risk_out_loss: 1.1002e-05 - val_loss: -51.2683 - val_risk_out_loss: -51.2683\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 276us/step - loss: 4.4644e-06 - risk_out_loss: 4.4644e-06 - val_loss: -51.2673 - val_risk_out_loss: -51.2673\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 333us/step - loss: 6.2045e-06 - risk_out_loss: 6.2045e-06 - val_loss: -51.2657 - val_risk_out_loss: -51.2657\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 368us/step - loss: 2.4688e-05 - risk_out_loss: 2.4688e-05 - val_loss: -51.2612 - val_risk_out_loss: -51.2612\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 287us/step - loss: 4.8115e-05 - risk_out_loss: 4.8115e-05 - val_loss: -51.2592 - val_risk_out_loss: -51.2592\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 333us/step - loss: 7.6602e-06 - risk_out_loss: 7.6602e-06 - val_loss: -51.2583 - val_risk_out_loss: -51.2583\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 287us/step - loss: 4.8067e-05 - risk_out_loss: 4.8067e-05 - val_loss: -51.2562 - val_risk_out_loss: -51.2562\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 299us/step - loss: 5.1735e-05 - risk_out_loss: 5.1735e-05 - val_loss: -51.2546 - val_risk_out_loss: -51.2546\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 287us/step - loss: 1.1732e-05 - risk_out_loss: 1.1732e-05 - val_loss: -51.2537 - val_risk_out_loss: -51.2537\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 322us/step - loss: 2.0847e-05 - risk_out_loss: 2.0847e-05 - val_loss: -51.2523 - val_risk_out_loss: -51.2523\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 287us/step - loss: 2.3667e-05 - risk_out_loss: 2.3667e-05 - val_loss: -51.2486 - val_risk_out_loss: -51.2486\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 276us/step - loss: 1.2914e-05 - risk_out_loss: 1.2914e-05 - val_loss: -51.2439 - val_risk_out_loss: -51.2439\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 333us/step - loss: 4.2495e-06 - risk_out_loss: 4.2495e-06 - val_loss: -51.2435 - val_risk_out_loss: -51.2435\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 322us/step - loss: 9.9194e-04 - risk_out_loss: 9.9194e-04 - val_loss: -51.2875 - val_risk_out_loss: -51.2875\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 287us/step - loss: 8.0455e-04 - risk_out_loss: 8.0455e-04 - val_loss: -51.3099 - val_risk_out_loss: -51.3099\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 322us/step - loss: 6.4336e-06 - risk_out_loss: 6.4336e-06 - val_loss: -51.3205 - val_risk_out_loss: -51.3205\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 299us/step - loss: 1.6788e-04 - risk_out_loss: 1.6788e-04 - val_loss: -51.3336 - val_risk_out_loss: -51.3336\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 276us/step - loss: 9.2558e-05 - risk_out_loss: 9.2558e-05 - val_loss: -51.3440 - val_risk_out_loss: -51.3440\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 368us/step - loss: 1.3186e-05 - risk_out_loss: 1.3186e-05 - val_loss: -51.3544 - val_risk_out_loss: -51.3544\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 322us/step - loss: 8.4270e-06 - risk_out_loss: 8.4270e-06 - val_loss: -51.3596 - val_risk_out_loss: -51.3596\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 333us/step - loss: 1.4078e-05 - risk_out_loss: 1.4078e-05 - val_loss: -51.3627 - val_risk_out_loss: -51.3627\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 310us/step - loss: 2.6180e-05 - risk_out_loss: 2.6180e-05 - val_loss: -51.3694 - val_risk_out_loss: -51.3694\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 276us/step - loss: 2.9336e-05 - risk_out_loss: 2.9336e-05 - val_loss: -51.3790 - val_risk_out_loss: -51.3790\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 333us/step - loss: 1.0623e-05 - risk_out_loss: 1.0623e-05 - val_loss: -51.3817 - val_risk_out_loss: -51.3817\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 287us/step - loss: 6.3833e-06 - risk_out_loss: 6.3833e-06 - val_loss: -51.3882 - val_risk_out_loss: -51.3882\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 287us/step - loss: 3.2840e-06 - risk_out_loss: 3.2840e-06 - val_loss: -51.3905 - val_risk_out_loss: -51.3905\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 322us/step - loss: 1.4787e-05 - risk_out_loss: 1.4787e-05 - val_loss: -51.3966 - val_risk_out_loss: -51.3966\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 299us/step - loss: 2.5168e-05 - risk_out_loss: 2.5168e-05 - val_loss: -51.3966 - val_risk_out_loss: -51.3966\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 333us/step - loss: 3.5471e-06 - risk_out_loss: 3.5471e-06 - val_loss: -51.3977 - val_risk_out_loss: -51.3977\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 310us/step - loss: 3.8341e-05 - risk_out_loss: 3.8341e-05 - val_loss: -51.3989 - val_risk_out_loss: -51.3989\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 299us/step - loss: 5.7026e-05 - risk_out_loss: 5.7026e-05 - val_loss: -51.3971 - val_risk_out_loss: -51.3971\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 379us/step - loss: 5.6711e-05 - risk_out_loss: 5.6711e-05 - val_loss: -51.3960 - val_risk_out_loss: -51.3960\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 299us/step - loss: 5.0820e-06 - risk_out_loss: 5.0820e-06 - val_loss: -51.3961 - val_risk_out_loss: -51.3961\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 287us/step - loss: 3.0834e-06 - risk_out_loss: 3.0834e-06 - val_loss: -51.3956 - val_risk_out_loss: -51.3956\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 287us/step - loss: 2.7489e-04 - risk_out_loss: 2.7489e-04 - val_loss: -51.3916 - val_risk_out_loss: -51.3916\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 322us/step - loss: 7.8343e-06 - risk_out_loss: 7.8343e-06 - val_loss: -51.3885 - val_risk_out_loss: -51.3885\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 310us/step - loss: 8.6185e-06 - risk_out_loss: 8.6185e-06 - val_loss: -51.3839 - val_risk_out_loss: -51.3839\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 287us/step - loss: 2.1645e-05 - risk_out_loss: 2.1645e-05 - val_loss: -51.3826 - val_risk_out_loss: -51.3826\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 333us/step - loss: 6.7619e-06 - risk_out_loss: 6.7619e-06 - val_loss: -51.3800 - val_risk_out_loss: -51.3800\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 276us/step - loss: 1.3603e-04 - risk_out_loss: 1.3603e-04 - val_loss: -51.3769 - val_risk_out_loss: -51.3769\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 287us/step - loss: 5.3514e-06 - risk_out_loss: 5.3514e-06 - val_loss: -51.3736 - val_risk_out_loss: -51.3736\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 379us/step - loss: 3.6932e-04 - risk_out_loss: 3.6932e-04 - val_loss: -51.3667 - val_risk_out_loss: -51.3667\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 333us/step - loss: 1.3843e-05 - risk_out_loss: 1.3843e-05 - val_loss: -51.3635 - val_risk_out_loss: -51.3635\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 379us/step - loss: 5.8317e-06 - risk_out_loss: 5.8317e-06 - val_loss: -51.3569 - val_risk_out_loss: -51.3569\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 333us/step - loss: 5.4731e-06 - risk_out_loss: 5.4731e-06 - val_loss: -51.3441 - val_risk_out_loss: -51.3441\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 287us/step - loss: 2.8156e-05 - risk_out_loss: 2.8156e-05 - val_loss: -51.3403 - val_risk_out_loss: -51.3403\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 310us/step - loss: 1.0372e-05 - risk_out_loss: 1.0372e-05 - val_loss: -51.3312 - val_risk_out_loss: -51.3312\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 299us/step - loss: 1.4871e-05 - risk_out_loss: 1.4871e-05 - val_loss: -51.3239 - val_risk_out_loss: -51.3239\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 310us/step - loss: 1.1770e-05 - risk_out_loss: 1.1770e-05 - val_loss: -51.3204 - val_risk_out_loss: -51.3204\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 287us/step - loss: 1.7655e-05 - risk_out_loss: 1.7655e-05 - val_loss: -51.3162 - val_risk_out_loss: -51.3162\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 253us/step - loss: 8.6089e-06 - risk_out_loss: 8.6089e-06 - val_loss: -51.3138 - val_risk_out_loss: -51.3138\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 322us/step - loss: 2.1298e-05 - risk_out_loss: 2.1298e-05 - val_loss: -51.3120 - val_risk_out_loss: -51.3120\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 253us/step - loss: 7.7112e-06 - risk_out_loss: 7.7112e-06 - val_loss: -51.3057 - val_risk_out_loss: -51.3057\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 264us/step - loss: 1.1204e-05 - risk_out_loss: 1.1204e-05 - val_loss: -51.3038 - val_risk_out_loss: -51.3038\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 253us/step - loss: 9.6107e-06 - risk_out_loss: 9.6107e-06 - val_loss: -51.3018 - val_risk_out_loss: -51.3018\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 322us/step - loss: 3.9191e-05 - risk_out_loss: 3.9191e-05 - val_loss: -51.3009 - val_risk_out_loss: -51.3009\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 276us/step - loss: 0.0021 - risk_out_loss: 0.0021 - val_loss: -51.4046 - val_risk_out_loss: -51.4046\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 299us/step - loss: 1.9593e-04 - risk_out_loss: 1.9593e-04 - val_loss: -51.4803 - val_risk_out_loss: -51.4803\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 276us/step - loss: 1.4905e-05 - risk_out_loss: 1.4905e-05 - val_loss: -51.5412 - val_risk_out_loss: -51.5412\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 310us/step - loss: 2.3617e-06 - risk_out_loss: 2.3617e-06 - val_loss: -51.5939 - val_risk_out_loss: -51.5939\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 253us/step - loss: 2.9092e-05 - risk_out_loss: 2.9092e-05 - val_loss: -51.6399 - val_risk_out_loss: -51.6399\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 264us/step - loss: 8.0670e-06 - risk_out_loss: 8.0670e-06 - val_loss: -51.6771 - val_risk_out_loss: -51.6771\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 287us/step - loss: 2.3463e-06 - risk_out_loss: 2.3463e-06 - val_loss: -51.7172 - val_risk_out_loss: -51.7172\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 276us/step - loss: 3.1419e-06 - risk_out_loss: 3.1419e-06 - val_loss: -51.7613 - val_risk_out_loss: -51.7613\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "85/85 [==============================] - 0s 310us/step - loss: 1.2364e-05 - risk_out_loss: 1.2364e-05 - val_loss: -51.7846 - val_risk_out_loss: -51.7846\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 276us/step - loss: 6.0227e-06 - risk_out_loss: 6.0227e-06 - val_loss: -51.8069 - val_risk_out_loss: -51.8069\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 299us/step - loss: 1.9289e-05 - risk_out_loss: 1.9289e-05 - val_loss: -51.8277 - val_risk_out_loss: -51.8277\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 287us/step - loss: 5.2657e-05 - risk_out_loss: 5.2657e-05 - val_loss: -51.8457 - val_risk_out_loss: -51.8457\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 264us/step - loss: 4.0901e-05 - risk_out_loss: 4.0901e-05 - val_loss: -51.8590 - val_risk_out_loss: -51.8590\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 310us/step - loss: 1.1700e-05 - risk_out_loss: 1.1700e-05 - val_loss: -51.8767 - val_risk_out_loss: -51.8767\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 310us/step - loss: 2.4842e-05 - risk_out_loss: 2.4842e-05 - val_loss: -51.8862 - val_risk_out_loss: -51.8862\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 299us/step - loss: 9.9443e-06 - risk_out_loss: 9.9443e-06 - val_loss: -51.8986 - val_risk_out_loss: -51.8986\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 276us/step - loss: 7.8179e-05 - risk_out_loss: 7.8179e-05 - val_loss: -51.9076 - val_risk_out_loss: -51.9076\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 299us/step - loss: 8.3316e-06 - risk_out_loss: 8.3316e-06 - val_loss: -51.9152 - val_risk_out_loss: -51.9152\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 345us/step - loss: 1.3308e-05 - risk_out_loss: 1.3308e-05 - val_loss: -51.9182 - val_risk_out_loss: -51.9182\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 333us/step - loss: 1.4473e-05 - risk_out_loss: 1.4473e-05 - val_loss: -51.9237 - val_risk_out_loss: -51.9237\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 322us/step - loss: 3.9773e-05 - risk_out_loss: 3.9773e-05 - val_loss: -51.9325 - val_risk_out_loss: -51.9325\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 310us/step - loss: 7.7223e-06 - risk_out_loss: 7.7223e-06 - val_loss: -51.9378 - val_risk_out_loss: -51.9378\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 276us/step - loss: 1.2843e-05 - risk_out_loss: 1.2843e-05 - val_loss: -51.9410 - val_risk_out_loss: -51.9410\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 310us/step - loss: 3.4878e-06 - risk_out_loss: 3.4878e-06 - val_loss: -51.9473 - val_risk_out_loss: -51.9473\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 322us/step - loss: 4.7613e-06 - risk_out_loss: 4.7613e-06 - val_loss: -51.9555 - val_risk_out_loss: -51.9555\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 287us/step - loss: 3.7011e-06 - risk_out_loss: 3.7011e-06 - val_loss: -51.9568 - val_risk_out_loss: -51.9568\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 368us/step - loss: 1.3932e-05 - risk_out_loss: 1.3932e-05 - val_loss: -51.9628 - val_risk_out_loss: -51.9628\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 299us/step - loss: 1.6060e-05 - risk_out_loss: 1.6060e-05 - val_loss: -51.9673 - val_risk_out_loss: -51.9673\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 322us/step - loss: 2.3729e-06 - risk_out_loss: 2.3729e-06 - val_loss: -51.9687 - val_risk_out_loss: -51.9687\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 299us/step - loss: 8.6651e-06 - risk_out_loss: 8.6651e-06 - val_loss: -51.9730 - val_risk_out_loss: -51.9730\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 310us/step - loss: 3.4019e-06 - risk_out_loss: 3.4019e-06 - val_loss: -51.9741 - val_risk_out_loss: -51.9741\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 299us/step - loss: 1.5718e-05 - risk_out_loss: 1.5718e-05 - val_loss: -51.9750 - val_risk_out_loss: -51.9750\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 299us/step - loss: 4.7220e-04 - risk_out_loss: 4.7220e-04 - val_loss: -51.9667 - val_risk_out_loss: -51.9667\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 276us/step - loss: 1.0941e-05 - risk_out_loss: 1.0941e-05 - val_loss: -51.9587 - val_risk_out_loss: -51.9587\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 310us/step - loss: 4.1262e-06 - risk_out_loss: 4.1262e-06 - val_loss: -51.9430 - val_risk_out_loss: -51.9430\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 310us/step - loss: 4.5616e-06 - risk_out_loss: 4.5616e-06 - val_loss: -51.9315 - val_risk_out_loss: -51.9315\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 322us/step - loss: 8.7914e-06 - risk_out_loss: 8.7914e-06 - val_loss: -51.9246 - val_risk_out_loss: -51.9246\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 402us/step - loss: 3.8672e-06 - risk_out_loss: 3.8672e-06 - val_loss: -51.9162 - val_risk_out_loss: -51.9162\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 287us/step - loss: 4.3465e-05 - risk_out_loss: 4.3465e-05 - val_loss: -51.9074 - val_risk_out_loss: -51.9074\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 276us/step - loss: 1.1039e-05 - risk_out_loss: 1.1039e-05 - val_loss: -51.9040 - val_risk_out_loss: -51.9040\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 345us/step - loss: 4.0030e-06 - risk_out_loss: 4.0030e-06 - val_loss: -51.9004 - val_risk_out_loss: -51.9004\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 299us/step - loss: 3.5325e-06 - risk_out_loss: 3.5325e-06 - val_loss: -51.8979 - val_risk_out_loss: -51.8979\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 287us/step - loss: 3.3863e-06 - risk_out_loss: 3.3863e-06 - val_loss: -51.8961 - val_risk_out_loss: -51.8961\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 322us/step - loss: 7.8325e-05 - risk_out_loss: 7.8325e-05 - val_loss: -51.8957 - val_risk_out_loss: -51.8957\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 287us/step - loss: 5.8046e-06 - risk_out_loss: 5.8046e-06 - val_loss: -51.8954 - val_risk_out_loss: -51.8954\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 310us/step - loss: 2.4088e-04 - risk_out_loss: 2.4088e-04 - val_loss: -51.9029 - val_risk_out_loss: -51.9029\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 379us/step - loss: 2.9780e-06 - risk_out_loss: 2.9780e-06 - val_loss: -51.9096 - val_risk_out_loss: -51.9096\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 333us/step - loss: 3.6962e-06 - risk_out_loss: 3.6962e-06 - val_loss: -51.9120 - val_risk_out_loss: -51.9120\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 299us/step - loss: 8.7028e-06 - risk_out_loss: 8.7028e-06 - val_loss: -51.9170 - val_risk_out_loss: -51.9170\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 287us/step - loss: 6.8879e-06 - risk_out_loss: 6.8879e-06 - val_loss: -51.9222 - val_risk_out_loss: -51.9222\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 299us/step - loss: 2.5329e-05 - risk_out_loss: 2.5329e-05 - val_loss: -51.9271 - val_risk_out_loss: -51.9271\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 367us/step - loss: 1.5392e-05 - risk_out_loss: 1.5392e-05 - val_loss: -51.9301 - val_risk_out_loss: -51.9301\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 345us/step - loss: 1.2027e-05 - risk_out_loss: 1.2027e-05 - val_loss: -51.9328 - val_risk_out_loss: -51.9328\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 299us/step - loss: 5.7285e-04 - risk_out_loss: 5.7285e-04 - val_loss: -51.9640 - val_risk_out_loss: -51.9640\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 322us/step - loss: 5.1784e-06 - risk_out_loss: 5.1784e-06 - val_loss: -51.9757 - val_risk_out_loss: -51.9757\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 276us/step - loss: 0.0091 - risk_out_loss: 0.0091 - val_loss: -52.1406 - val_risk_out_loss: -52.1406\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 287us/step - loss: 2.2536e-05 - risk_out_loss: 2.2536e-05 - val_loss: -52.2797 - val_risk_out_loss: -52.2797\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 276us/step - loss: 2.2283e-05 - risk_out_loss: 2.2283e-05 - val_loss: -52.3777 - val_risk_out_loss: -52.3777\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 322us/step - loss: 1.8688e-05 - risk_out_loss: 1.8688e-05 - val_loss: -52.4640 - val_risk_out_loss: -52.4640\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 287us/step - loss: 7.1227e-06 - risk_out_loss: 7.1227e-06 - val_loss: -52.5229 - val_risk_out_loss: -52.5229\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 264us/step - loss: 1.3966e-05 - risk_out_loss: 1.3966e-05 - val_loss: -52.5761 - val_risk_out_loss: -52.5761\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 322us/step - loss: 1.3131e-05 - risk_out_loss: 1.3131e-05 - val_loss: -52.6135 - val_risk_out_loss: -52.6135\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 287us/step - loss: 5.3150e-05 - risk_out_loss: 5.3150e-05 - val_loss: -52.6537 - val_risk_out_loss: -52.6537\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 299us/step - loss: 5.0200e-05 - risk_out_loss: 5.0200e-05 - val_loss: -52.6739 - val_risk_out_loss: -52.6739\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 322us/step - loss: 1.2862e-05 - risk_out_loss: 1.2862e-05 - val_loss: -52.6910 - val_risk_out_loss: -52.6910\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 333us/step - loss: 8.2600e-06 - risk_out_loss: 8.2600e-06 - val_loss: -52.7138 - val_risk_out_loss: -52.7138\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 310us/step - loss: 7.2648e-04 - risk_out_loss: 7.2648e-04 - val_loss: -52.7268 - val_risk_out_loss: -52.7268\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 333us/step - loss: 1.9443e-04 - risk_out_loss: 1.9443e-04 - val_loss: -52.7318 - val_risk_out_loss: -52.7318\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 287us/step - loss: 5.4945e-05 - risk_out_loss: 5.4945e-05 - val_loss: -52.7367 - val_risk_out_loss: -52.7367\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 322us/step - loss: 0.0366 - risk_out_loss: 0.0366 - val_loss: -52.6407 - val_risk_out_loss: -52.6407\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 287us/step - loss: 4.5878e-04 - risk_out_loss: 4.5878e-04 - val_loss: -52.5114 - val_risk_out_loss: -52.5114\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 299us/step - loss: 4.7653e-06 - risk_out_loss: 4.7653e-06 - val_loss: -52.3485 - val_risk_out_loss: -52.3485\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 299us/step - loss: 1.6794e-04 - risk_out_loss: 1.6794e-04 - val_loss: -52.1675 - val_risk_out_loss: -52.1675\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 368us/step - loss: 4.2635e-06 - risk_out_loss: 4.2635e-06 - val_loss: -51.9631 - val_risk_out_loss: -51.9631\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 345us/step - loss: 1.9086e-05 - risk_out_loss: 1.9086e-05 - val_loss: -51.7117 - val_risk_out_loss: -51.7117\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 333us/step - loss: 1.7042e-04 - risk_out_loss: 1.7042e-04 - val_loss: -51.4485 - val_risk_out_loss: -51.4485\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 310us/step - loss: 1.6373e-04 - risk_out_loss: 1.6373e-04 - val_loss: -51.1686 - val_risk_out_loss: -51.1686\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 299us/step - loss: 3.3257e-06 - risk_out_loss: 3.3257e-06 - val_loss: -50.8875 - val_risk_out_loss: -50.8875\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 287us/step - loss: 4.3884e-06 - risk_out_loss: 4.3884e-06 - val_loss: -50.6186 - val_risk_out_loss: -50.6186\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 322us/step - loss: 1.2625e-06 - risk_out_loss: 1.2625e-06 - val_loss: -50.3451 - val_risk_out_loss: -50.3451\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 276us/step - loss: 1.6013e-06 - risk_out_loss: 1.6013e-06 - val_loss: -50.0634 - val_risk_out_loss: -50.0634\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 276us/step - loss: 1.0250e-05 - risk_out_loss: 1.0250e-05 - val_loss: -49.7902 - val_risk_out_loss: -49.7902\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 322us/step - loss: 4.7497e-06 - risk_out_loss: 4.7497e-06 - val_loss: -49.5467 - val_risk_out_loss: -49.5467\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 264us/step - loss: 1.8133e-06 - risk_out_loss: 1.8133e-06 - val_loss: -49.2776 - val_risk_out_loss: -49.2776\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 310us/step - loss: 8.9719e-06 - risk_out_loss: 8.9719e-06 - val_loss: -49.0490 - val_risk_out_loss: -49.0490\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 287us/step - loss: 3.4428e-06 - risk_out_loss: 3.4428e-06 - val_loss: -48.8324 - val_risk_out_loss: -48.8324\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 287us/step - loss: 0.0025 - risk_out_loss: 0.0025 - val_loss: -48.8589 - val_risk_out_loss: -48.8589\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 276us/step - loss: 6.5056e-05 - risk_out_loss: 6.5056e-05 - val_loss: -48.8889 - val_risk_out_loss: -48.8889\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 264us/step - loss: 2.2423e-05 - risk_out_loss: 2.2423e-05 - val_loss: -48.9176 - val_risk_out_loss: -48.9176\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 379us/step - loss: 3.2079e-05 - risk_out_loss: 3.2079e-05 - val_loss: -48.9429 - val_risk_out_loss: -48.9429\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 345us/step - loss: 1.5772e-06 - risk_out_loss: 1.5772e-06 - val_loss: -48.9625 - val_risk_out_loss: -48.9625\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 356us/step - loss: 1.1399e-04 - risk_out_loss: 1.1399e-04 - val_loss: -48.9918 - val_risk_out_loss: -48.9918\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 299us/step - loss: 6.8268e-06 - risk_out_loss: 6.8268e-06 - val_loss: -49.0257 - val_risk_out_loss: -49.0257\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 322us/step - loss: 2.9784e-06 - risk_out_loss: 2.9784e-06 - val_loss: -49.0493 - val_risk_out_loss: -49.0493\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 310us/step - loss: 6.6250e-06 - risk_out_loss: 6.6250e-06 - val_loss: -49.0743 - val_risk_out_loss: -49.0743\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 299us/step - loss: 2.2292e-05 - risk_out_loss: 2.2292e-05 - val_loss: -49.1013 - val_risk_out_loss: -49.1013\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 333us/step - loss: 3.7011e-04 - risk_out_loss: 3.7011e-04 - val_loss: -49.1546 - val_risk_out_loss: -49.1546\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 299us/step - loss: 5.0957e-06 - risk_out_loss: 5.0957e-06 - val_loss: -49.2013 - val_risk_out_loss: -49.2013\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 299us/step - loss: 1.0151e-05 - risk_out_loss: 1.0151e-05 - val_loss: -49.2510 - val_risk_out_loss: -49.2510\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 287us/step - loss: 2.1833e-06 - risk_out_loss: 2.1833e-06 - val_loss: -49.2907 - val_risk_out_loss: -49.2907\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 333us/step - loss: 1.6643e-06 - risk_out_loss: 1.6643e-06 - val_loss: -49.3274 - val_risk_out_loss: -49.3274\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 368us/step - loss: 4.2256e-06 - risk_out_loss: 4.2256e-06 - val_loss: -49.3559 - val_risk_out_loss: -49.3559\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 333us/step - loss: 5.9786e-06 - risk_out_loss: 5.9786e-06 - val_loss: -49.3799 - val_risk_out_loss: -49.3799\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 368us/step - loss: 2.6584e-04 - risk_out_loss: 2.6584e-04 - val_loss: -49.4399 - val_risk_out_loss: -49.4399\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 345us/step - loss: 3.2613e-04 - risk_out_loss: 3.2613e-04 - val_loss: -49.5094 - val_risk_out_loss: -49.5094\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 322us/step - loss: 1.8828e-04 - risk_out_loss: 1.8828e-04 - val_loss: -49.5998 - val_risk_out_loss: -49.5998\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 299us/step - loss: 7.2387e-06 - risk_out_loss: 7.2387e-06 - val_loss: -49.6813 - val_risk_out_loss: -49.6813\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 287us/step - loss: 1.4533e-06 - risk_out_loss: 1.4533e-06 - val_loss: -49.7463 - val_risk_out_loss: -49.7463\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 241us/step - loss: 0.0037 - risk_out_loss: 0.0037 - val_loss: -50.1231 - val_risk_out_loss: -50.1231\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 299us/step - loss: 4.3270e-06 - risk_out_loss: 4.3270e-06 - val_loss: -50.4129 - val_risk_out_loss: -50.4129\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 322us/step - loss: 1.8002e-06 - risk_out_loss: 1.8002e-06 - val_loss: -50.6470 - val_risk_out_loss: -50.6470\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 299us/step - loss: 3.0418e-06 - risk_out_loss: 3.0418e-06 - val_loss: -50.8331 - val_risk_out_loss: -50.8331\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 276us/step - loss: 0.0106 - risk_out_loss: 0.0106 - val_loss: -51.4243 - val_risk_out_loss: -51.4243\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 299us/step - loss: 1.3253e-05 - risk_out_loss: 1.3253e-05 - val_loss: -51.8280 - val_risk_out_loss: -51.8280\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 310us/step - loss: 2.0405e-06 - risk_out_loss: 2.0405e-06 - val_loss: -52.0938 - val_risk_out_loss: -52.0938\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 276us/step - loss: 4.2293e-06 - risk_out_loss: 4.2293e-06 - val_loss: -52.2771 - val_risk_out_loss: -52.2771\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 322us/step - loss: 4.2292e-06 - risk_out_loss: 4.2292e-06 - val_loss: -52.4131 - val_risk_out_loss: -52.4131\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 413us/step - loss: 6.7562e-06 - risk_out_loss: 6.7562e-06 - val_loss: -52.5258 - val_risk_out_loss: -52.5258\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 322us/step - loss: 1.0796e-05 - risk_out_loss: 1.0796e-05 - val_loss: -52.5988 - val_risk_out_loss: -52.5988\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 333us/step - loss: 0.0012 - risk_out_loss: 0.0012 - val_loss: -52.6519 - val_risk_out_loss: -52.6519\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 299us/step - loss: 1.7811e-05 - risk_out_loss: 1.7811e-05 - val_loss: -52.6955 - val_risk_out_loss: -52.6955\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 253us/step - loss: 4.6486e-05 - risk_out_loss: 4.6486e-05 - val_loss: -52.7281 - val_risk_out_loss: -52.7281\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 264us/step - loss: 2.0835e-04 - risk_out_loss: 2.0835e-04 - val_loss: -52.7533 - val_risk_out_loss: -52.7533\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 287us/step - loss: 2.9936e-05 - risk_out_loss: 2.9936e-05 - val_loss: -52.7784 - val_risk_out_loss: -52.7784\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 497us/step - loss: 2.8392e-05 - risk_out_loss: 2.8392e-05 - val_loss: -52.7908 - val_risk_out_loss: -52.7908\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 356us/step - loss: 6.1504e-05 - risk_out_loss: 6.1504e-05 - val_loss: -52.8073 - val_risk_out_loss: -52.8073\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 276us/step - loss: 0.0942 - risk_out_loss: 0.0942 - val_loss: -52.6893 - val_risk_out_loss: -52.6893\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 322us/step - loss: 2.1504e-04 - risk_out_loss: 2.1504e-04 - val_loss: -52.5206 - val_risk_out_loss: -52.5206\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 253us/step - loss: 1.9038e-05 - risk_out_loss: 1.9038e-05 - val_loss: -52.3137 - val_risk_out_loss: -52.3137\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 287us/step - loss: 5.7030e-06 - risk_out_loss: 5.7030e-06 - val_loss: -52.0264 - val_risk_out_loss: -52.0264\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 310us/step - loss: 4.4315e-06 - risk_out_loss: 4.4315e-06 - val_loss: -51.6764 - val_risk_out_loss: -51.6764\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 264us/step - loss: 3.4346e-06 - risk_out_loss: 3.4346e-06 - val_loss: -51.3025 - val_risk_out_loss: -51.3025\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 287us/step - loss: 9.2259e-06 - risk_out_loss: 9.2259e-06 - val_loss: -50.8791 - val_risk_out_loss: -50.8791\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 299us/step - loss: 1.5767e-05 - risk_out_loss: 1.5767e-05 - val_loss: -50.4183 - val_risk_out_loss: -50.4183\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 264us/step - loss: 2.1388e-04 - risk_out_loss: 2.1388e-04 - val_loss: -49.9185 - val_risk_out_loss: -49.9185\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 299us/step - loss: 0.0020 - risk_out_loss: 0.0020 - val_loss: -49.5723 - val_risk_out_loss: -49.5723\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 322us/step - loss: 3.9869e-06 - risk_out_loss: 3.9869e-06 - val_loss: -49.2120 - val_risk_out_loss: -49.2120\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 310us/step - loss: 1.3793e-05 - risk_out_loss: 1.3793e-05 - val_loss: -48.8926 - val_risk_out_loss: -48.8926\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 299us/step - loss: 2.5780e-05 - risk_out_loss: 2.5780e-05 - val_loss: -48.5770 - val_risk_out_loss: -48.5770\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 349us/step - loss: 3.0593e-05 - risk_out_loss: 3.0593e-05 - val_loss: -48.2691 - val_risk_out_loss: -48.2691\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 322us/step - loss: 2.0652e-05 - risk_out_loss: 2.0652e-05 - val_loss: -47.9822 - val_risk_out_loss: -47.9822\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 322us/step - loss: 2.3917e-06 - risk_out_loss: 2.3917e-06 - val_loss: -47.7061 - val_risk_out_loss: -47.7061\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 379us/step - loss: 5.4816e-06 - risk_out_loss: 5.4816e-06 - val_loss: -47.4429 - val_risk_out_loss: -47.4429\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 310us/step - loss: 1.4994e-05 - risk_out_loss: 1.4994e-05 - val_loss: -47.2176 - val_risk_out_loss: -47.2176\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 333us/step - loss: 1.5078e-05 - risk_out_loss: 1.5078e-05 - val_loss: -47.0191 - val_risk_out_loss: -47.0191\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 287us/step - loss: 5.3014e-05 - risk_out_loss: 5.3014e-05 - val_loss: -46.8471 - val_risk_out_loss: -46.8471\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 356us/step - loss: 1.4770e-05 - risk_out_loss: 1.4770e-05 - val_loss: -46.6790 - val_risk_out_loss: -46.6790\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 276us/step - loss: 0.0649 - risk_out_loss: 0.0649 - val_loss: -48.3359 - val_risk_out_loss: -48.3359\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 310us/step - loss: 0.0127 - risk_out_loss: 0.0127 - val_loss: -48.9265 - val_risk_out_loss: -48.9265\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 264us/step - loss: 2.6816e-05 - risk_out_loss: 2.6816e-05 - val_loss: -49.2996 - val_risk_out_loss: -49.2996\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 310us/step - loss: 1.4468e-04 - risk_out_loss: 1.4468e-04 - val_loss: -49.5543 - val_risk_out_loss: -49.5543\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 299us/step - loss: 0.0013 - risk_out_loss: 0.0013 - val_loss: -49.6880 - val_risk_out_loss: -49.6880\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 276us/step - loss: 3.1138e-05 - risk_out_loss: 3.1138e-05 - val_loss: -49.7165 - val_risk_out_loss: -49.7165\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 287us/step - loss: 2.0337e-04 - risk_out_loss: 2.0337e-04 - val_loss: -49.7575 - val_risk_out_loss: -49.7575\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 276us/step - loss: 9.0766e-05 - risk_out_loss: 9.0766e-05 - val_loss: -49.7797 - val_risk_out_loss: -49.7797\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 299us/step - loss: 6.3406e-05 - risk_out_loss: 6.3406e-05 - val_loss: -49.7845 - val_risk_out_loss: -49.7845\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 253us/step - loss: 3.2125e-05 - risk_out_loss: 3.2125e-05 - val_loss: -49.7643 - val_risk_out_loss: -49.7643\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 322us/step - loss: 8.1896e-04 - risk_out_loss: 8.1896e-04 - val_loss: -49.7294 - val_risk_out_loss: -49.7294\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 540us/step - loss: 3.6762e-05 - risk_out_loss: 3.6762e-05 - val_loss: -49.6736 - val_risk_out_loss: -49.6736\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 350us/step - loss: 0.0669 - risk_out_loss: 0.0669 - val_loss: -48.8410 - val_risk_out_loss: -48.8410\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 379us/step - loss: 3.4710e-04 - risk_out_loss: 3.4710e-04 - val_loss: -48.0365 - val_risk_out_loss: -48.0365\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 299us/step - loss: 2.4486e-05 - risk_out_loss: 2.4486e-05 - val_loss: -47.2264 - val_risk_out_loss: -47.2264\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 384us/step - loss: 6.6769e-05 - risk_out_loss: 6.6769e-05 - val_loss: -46.4400 - val_risk_out_loss: -46.4400\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 310us/step - loss: 1.6851e-04 - risk_out_loss: 1.6851e-04 - val_loss: -45.6332 - val_risk_out_loss: -45.6332\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 356us/step - loss: 2.7318e-04 - risk_out_loss: 2.7318e-04 - val_loss: -44.8896 - val_risk_out_loss: -44.8896\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 356us/step - loss: 1.7628e-04 - risk_out_loss: 1.7628e-04 - val_loss: -44.1900 - val_risk_out_loss: -44.1900\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 356us/step - loss: 2.5698e-04 - risk_out_loss: 2.5698e-04 - val_loss: -43.4797 - val_risk_out_loss: -43.4797\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 276us/step - loss: 0.0146 - risk_out_loss: 0.0146 - val_loss: -42.1921 - val_risk_out_loss: -42.1921\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 345us/step - loss: 0.0134 - risk_out_loss: 0.0134 - val_loss: -40.3725 - val_risk_out_loss: -40.3725\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 322us/step - loss: 8.3445e-04 - risk_out_loss: 8.3445e-04 - val_loss: -38.6000 - val_risk_out_loss: -38.6000\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 379us/step - loss: 0.0012 - risk_out_loss: 0.0012 - val_loss: -37.0701 - val_risk_out_loss: -37.0701\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 333us/step - loss: 0.0014 - risk_out_loss: 0.0014 - val_loss: -35.9583 - val_risk_out_loss: -35.9583\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 322us/step - loss: 0.0312 - risk_out_loss: 0.0312 - val_loss: -36.2646 - val_risk_out_loss: -36.2646\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 356us/step - loss: 2.0118e-05 - risk_out_loss: 2.0118e-05 - val_loss: -36.5195 - val_risk_out_loss: -36.5195\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 413us/step - loss: 0.0026 - risk_out_loss: 0.0026 - val_loss: -37.1402 - val_risk_out_loss: -37.1402\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 391us/step - loss: 4.3822e-05 - risk_out_loss: 4.3822e-05 - val_loss: -37.6730 - val_risk_out_loss: -37.6730\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 356us/step - loss: 0.0025 - risk_out_loss: 0.0025 - val_loss: -38.0040 - val_risk_out_loss: -38.0040\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 322us/step - loss: 8.7336e-05 - risk_out_loss: 8.7336e-05 - val_loss: -38.2942 - val_risk_out_loss: -38.2942\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 310us/step - loss: 4.8521e-04 - risk_out_loss: 4.8521e-04 - val_loss: -38.5546 - val_risk_out_loss: -38.5546\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 310us/step - loss: 0.0017 - risk_out_loss: 0.0017 - val_loss: -39.0862 - val_risk_out_loss: -39.0862\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 425us/step - loss: 1.9382e-04 - risk_out_loss: 1.9382e-04 - val_loss: -39.5719 - val_risk_out_loss: -39.5719\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 310us/step - loss: 1.5184e-04 - risk_out_loss: 1.5184e-04 - val_loss: -40.0353 - val_risk_out_loss: -40.0353\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 333us/step - loss: 2.4207e-04 - risk_out_loss: 2.4207e-04 - val_loss: -40.4186 - val_risk_out_loss: -40.4186\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 310us/step - loss: 1.0963e-04 - risk_out_loss: 1.0963e-04 - val_loss: -40.7858 - val_risk_out_loss: -40.7858\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 253us/step - loss: 1.1240e-04 - risk_out_loss: 1.1240e-04 - val_loss: -41.0878 - val_risk_out_loss: -41.0878\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 287us/step - loss: 1.1052e-04 - risk_out_loss: 1.1052e-04 - val_loss: -41.3861 - val_risk_out_loss: -41.3861\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 310us/step - loss: 8.3434e-05 - risk_out_loss: 8.3434e-05 - val_loss: -41.6635 - val_risk_out_loss: -41.6635\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 287us/step - loss: 9.4408e-05 - risk_out_loss: 9.4408e-05 - val_loss: -41.9065 - val_risk_out_loss: -41.9065\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 322us/step - loss: 0.0114 - risk_out_loss: 0.0114 - val_loss: -42.3617 - val_risk_out_loss: -42.3617\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 322us/step - loss: 2.0501e-04 - risk_out_loss: 2.0501e-04 - val_loss: -42.7629 - val_risk_out_loss: -42.7629\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 322us/step - loss: 9.6747e-05 - risk_out_loss: 9.6747e-05 - val_loss: -43.1412 - val_risk_out_loss: -43.1412\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 379us/step - loss: 9.8939e-05 - risk_out_loss: 9.8939e-05 - val_loss: -43.4706 - val_risk_out_loss: -43.4706\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 299us/step - loss: 0.0054 - risk_out_loss: 0.0054 - val_loss: -44.1385 - val_risk_out_loss: -44.1385\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 322us/step - loss: 2.3376e-04 - risk_out_loss: 2.3376e-04 - val_loss: -44.7161 - val_risk_out_loss: -44.7161\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 310us/step - loss: 3.6771e-04 - risk_out_loss: 3.6771e-04 - val_loss: -45.2137 - val_risk_out_loss: -45.2137\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 310us/step - loss: 5.5208e-05 - risk_out_loss: 5.5208e-05 - val_loss: -45.6209 - val_risk_out_loss: -45.6209\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 333us/step - loss: 1.6706e-04 - risk_out_loss: 1.6706e-04 - val_loss: -45.9924 - val_risk_out_loss: -45.9924\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 368us/step - loss: 2.1573e-05 - risk_out_loss: 2.1573e-05 - val_loss: -46.3046 - val_risk_out_loss: -46.3046\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 287us/step - loss: 3.8861e-05 - risk_out_loss: 3.8861e-05 - val_loss: -46.5934 - val_risk_out_loss: -46.5934\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 345us/step - loss: 9.3168e-05 - risk_out_loss: 9.3168e-05 - val_loss: -46.8458 - val_risk_out_loss: -46.8458\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 322us/step - loss: 4.2513e-05 - risk_out_loss: 4.2513e-05 - val_loss: -47.0387 - val_risk_out_loss: -47.0387\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 310us/step - loss: 0.0077 - risk_out_loss: 0.0077 - val_loss: -47.0341 - val_risk_out_loss: -47.0341\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 368us/step - loss: 2.2185e-05 - risk_out_loss: 2.2185e-05 - val_loss: -47.0423 - val_risk_out_loss: -47.0423\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 345us/step - loss: 1.3738e-05 - risk_out_loss: 1.3738e-05 - val_loss: -47.0484 - val_risk_out_loss: -47.0484\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 310us/step - loss: 1.5756e-04 - risk_out_loss: 1.5756e-04 - val_loss: -47.0522 - val_risk_out_loss: -47.0522\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 299us/step - loss: 2.3750e-04 - risk_out_loss: 2.3750e-04 - val_loss: -47.0592 - val_risk_out_loss: -47.0592\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 310us/step - loss: 4.8451e-05 - risk_out_loss: 4.8451e-05 - val_loss: -47.0641 - val_risk_out_loss: -47.0641\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 276us/step - loss: 5.2940e-05 - risk_out_loss: 5.2940e-05 - val_loss: -47.0593 - val_risk_out_loss: -47.0593\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 368us/step - loss: 5.8589e-05 - risk_out_loss: 5.8589e-05 - val_loss: -47.0639 - val_risk_out_loss: -47.0639\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 368us/step - loss: 1.0247e-04 - risk_out_loss: 1.0247e-04 - val_loss: -47.0607 - val_risk_out_loss: -47.0607\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 436us/step - loss: 3.1141e-05 - risk_out_loss: 3.1141e-05 - val_loss: -47.0637 - val_risk_out_loss: -47.0637\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 345us/step - loss: 7.4787e-05 - risk_out_loss: 7.4787e-05 - val_loss: -47.0658 - val_risk_out_loss: -47.0658\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 299us/step - loss: 3.2146e-05 - risk_out_loss: 3.2146e-05 - val_loss: -47.0751 - val_risk_out_loss: -47.0751\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 333us/step - loss: 4.2235e-05 - risk_out_loss: 4.2235e-05 - val_loss: -47.0810 - val_risk_out_loss: -47.0810\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 448us/step - loss: 7.4216e-05 - risk_out_loss: 7.4216e-05 - val_loss: -47.0837 - val_risk_out_loss: -47.0837\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 368us/step - loss: 4.4028e-05 - risk_out_loss: 4.4028e-05 - val_loss: -47.0959 - val_risk_out_loss: -47.0959\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 310us/step - loss: 3.7336e-04 - risk_out_loss: 3.7336e-04 - val_loss: -47.1008 - val_risk_out_loss: -47.1008\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 425us/step - loss: 1.8682e-05 - risk_out_loss: 1.8682e-05 - val_loss: -47.1018 - val_risk_out_loss: -47.1018\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 356us/step - loss: 9.1760e-05 - risk_out_loss: 9.1760e-05 - val_loss: -47.0982 - val_risk_out_loss: -47.0982\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 299us/step - loss: 0.0157 - risk_out_loss: 0.0157 - val_loss: -46.6867 - val_risk_out_loss: -46.6867\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 299us/step - loss: 8.2885e-05 - risk_out_loss: 8.2885e-05 - val_loss: -46.2968 - val_risk_out_loss: -46.2968\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 333us/step - loss: 7.6444e-05 - risk_out_loss: 7.6444e-05 - val_loss: -45.9342 - val_risk_out_loss: -45.9342\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 391us/step - loss: 6.1484e-04 - risk_out_loss: 6.1484e-04 - val_loss: -45.6232 - val_risk_out_loss: -45.6232\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 356us/step - loss: 1.3304e-04 - risk_out_loss: 1.3304e-04 - val_loss: -45.3269 - val_risk_out_loss: -45.3269\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 356us/step - loss: 9.1040e-05 - risk_out_loss: 9.1040e-05 - val_loss: -45.0650 - val_risk_out_loss: -45.0650\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 345us/step - loss: 5.6294e-05 - risk_out_loss: 5.6294e-05 - val_loss: -44.8065 - val_risk_out_loss: -44.8065\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 368us/step - loss: 0.0016 - risk_out_loss: 0.0016 - val_loss: -44.7531 - val_risk_out_loss: -44.7531\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 379us/step - loss: 2.7754e-05 - risk_out_loss: 2.7754e-05 - val_loss: -44.7103 - val_risk_out_loss: -44.7103\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 310us/step - loss: 1.2361e-04 - risk_out_loss: 1.2361e-04 - val_loss: -44.6776 - val_risk_out_loss: -44.6776\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 310us/step - loss: 4.6258e-05 - risk_out_loss: 4.6258e-05 - val_loss: -44.6631 - val_risk_out_loss: -44.6631\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 345us/step - loss: 3.4603e-05 - risk_out_loss: 3.4603e-05 - val_loss: -44.6306 - val_risk_out_loss: -44.6306\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 368us/step - loss: 9.1829e-06 - risk_out_loss: 9.1829e-06 - val_loss: -44.6018 - val_risk_out_loss: -44.6018\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 322us/step - loss: 4.5279e-05 - risk_out_loss: 4.5279e-05 - val_loss: -44.5868 - val_risk_out_loss: -44.5868\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 345us/step - loss: 1.4442e-05 - risk_out_loss: 1.4442e-05 - val_loss: -44.5794 - val_risk_out_loss: -44.5794\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 333us/step - loss: 1.9958e-05 - risk_out_loss: 1.9958e-05 - val_loss: -44.5796 - val_risk_out_loss: -44.5796\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 345us/step - loss: 3.1671e-04 - risk_out_loss: 3.1671e-04 - val_loss: -44.6242 - val_risk_out_loss: -44.6242\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 264us/step - loss: 4.9227e-05 - risk_out_loss: 4.9227e-05 - val_loss: -44.6721 - val_risk_out_loss: -44.6721\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 333us/step - loss: 3.9054e-05 - risk_out_loss: 3.9054e-05 - val_loss: -44.6851 - val_risk_out_loss: -44.6851\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 322us/step - loss: 5.0476e-05 - risk_out_loss: 5.0476e-05 - val_loss: -44.7116 - val_risk_out_loss: -44.7116\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 333us/step - loss: 2.3475e-04 - risk_out_loss: 2.3475e-04 - val_loss: -44.7635 - val_risk_out_loss: -44.7635\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 310us/step - loss: 0.0048 - risk_out_loss: 0.0048 - val_loss: -44.8663 - val_risk_out_loss: -44.8663\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 333us/step - loss: 7.9805e-05 - risk_out_loss: 7.9805e-05 - val_loss: -44.9950 - val_risk_out_loss: -44.9950\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 299us/step - loss: 0.0012 - risk_out_loss: 0.0012 - val_loss: -45.1789 - val_risk_out_loss: -45.1789\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 276us/step - loss: 0.0017 - risk_out_loss: 0.0017 - val_loss: -45.5566 - val_risk_out_loss: -45.5566\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 391us/step - loss: 1.0684e-04 - risk_out_loss: 1.0684e-04 - val_loss: -45.9116 - val_risk_out_loss: -45.9116\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 356us/step - loss: 5.5009e-05 - risk_out_loss: 5.5009e-05 - val_loss: -46.2225 - val_risk_out_loss: -46.2225\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 253us/step - loss: 3.5348e-04 - risk_out_loss: 3.5348e-04 - val_loss: -46.5263 - val_risk_out_loss: -46.5263\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 299us/step - loss: 2.4519e-05 - risk_out_loss: 2.4519e-05 - val_loss: -46.8120 - val_risk_out_loss: -46.8120\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 413us/step - loss: 2.0294e-04 - risk_out_loss: 2.0294e-04 - val_loss: -47.0735 - val_risk_out_loss: -47.0735\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 287us/step - loss: 1.5282e-05 - risk_out_loss: 1.5282e-05 - val_loss: -47.2969 - val_risk_out_loss: -47.2969\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 379us/step - loss: 4.2090e-05 - risk_out_loss: 4.2090e-05 - val_loss: -47.5185 - val_risk_out_loss: -47.5185\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 276us/step - loss: 2.0925e-05 - risk_out_loss: 2.0925e-05 - val_loss: -47.6864 - val_risk_out_loss: -47.6864\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 287us/step - loss: 6.0039e-05 - risk_out_loss: 6.0039e-05 - val_loss: -47.8473 - val_risk_out_loss: -47.8473\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 322us/step - loss: 3.8831e-05 - risk_out_loss: 3.8831e-05 - val_loss: -47.9730 - val_risk_out_loss: -47.9730\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 333us/step - loss: 1.1423e-05 - risk_out_loss: 1.1423e-05 - val_loss: -48.0819 - val_risk_out_loss: -48.0819\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 333us/step - loss: 1.0133e-05 - risk_out_loss: 1.0133e-05 - val_loss: -48.1997 - val_risk_out_loss: -48.1997\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 391us/step - loss: 1.0227e-04 - risk_out_loss: 1.0227e-04 - val_loss: -48.2778 - val_risk_out_loss: -48.2778\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 299us/step - loss: 5.0330e-05 - risk_out_loss: 5.0330e-05 - val_loss: -48.3582 - val_risk_out_loss: -48.3582\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 299us/step - loss: 2.6126e-04 - risk_out_loss: 2.6126e-04 - val_loss: -48.4290 - val_risk_out_loss: -48.4290\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 368us/step - loss: 5.2400e-04 - risk_out_loss: 5.2400e-04 - val_loss: -48.5254 - val_risk_out_loss: -48.5254\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 310us/step - loss: 3.2816e-05 - risk_out_loss: 3.2816e-05 - val_loss: -48.6177 - val_risk_out_loss: -48.6177\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 287us/step - loss: 6.1594e-05 - risk_out_loss: 6.1594e-05 - val_loss: -48.6945 - val_risk_out_loss: -48.6945\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 379us/step - loss: 1.5014e-05 - risk_out_loss: 1.5014e-05 - val_loss: -48.7709 - val_risk_out_loss: -48.7709\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 287us/step - loss: 4.6942e-05 - risk_out_loss: 4.6942e-05 - val_loss: -48.8412 - val_risk_out_loss: -48.8412\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 299us/step - loss: 7.3026e-05 - risk_out_loss: 7.3026e-05 - val_loss: -48.9031 - val_risk_out_loss: -48.9031\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 287us/step - loss: 0.0191 - risk_out_loss: 0.0191 - val_loss: -48.2268 - val_risk_out_loss: -48.2268\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 310us/step - loss: 4.4761e-05 - risk_out_loss: 4.4761e-05 - val_loss: -47.5477 - val_risk_out_loss: -47.5477\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 379us/step - loss: 1.3147e-04 - risk_out_loss: 1.3147e-04 - val_loss: -46.8691 - val_risk_out_loss: -46.8691\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 287us/step - loss: 7.4429e-06 - risk_out_loss: 7.4429e-06 - val_loss: -46.1937 - val_risk_out_loss: -46.1937\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 322us/step - loss: 2.5562e-05 - risk_out_loss: 2.5562e-05 - val_loss: -45.5039 - val_risk_out_loss: -45.5039\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 356us/step - loss: 5.2037e-04 - risk_out_loss: 5.2037e-04 - val_loss: -44.8381 - val_risk_out_loss: -44.8381\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 345us/step - loss: 1.9001e-04 - risk_out_loss: 1.9001e-04 - val_loss: -44.2169 - val_risk_out_loss: -44.2169\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 310us/step - loss: 0.0149 - risk_out_loss: 0.0149 - val_loss: -45.2001 - val_risk_out_loss: -45.2001\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 356us/step - loss: 1.0456e-04 - risk_out_loss: 1.0456e-04 - val_loss: -46.0084 - val_risk_out_loss: -46.0084\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 322us/step - loss: 3.5801e-05 - risk_out_loss: 3.5801e-05 - val_loss: -46.6928 - val_risk_out_loss: -46.6928\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 276us/step - loss: 1.4969e-05 - risk_out_loss: 1.4969e-05 - val_loss: -47.2394 - val_risk_out_loss: -47.2394\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 322us/step - loss: 2.9305e-05 - risk_out_loss: 2.9305e-05 - val_loss: -47.7099 - val_risk_out_loss: -47.7099\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 356us/step - loss: 2.5485e-05 - risk_out_loss: 2.5485e-05 - val_loss: -48.0767 - val_risk_out_loss: -48.0767\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 333us/step - loss: 7.0302e-04 - risk_out_loss: 7.0302e-04 - val_loss: -48.4618 - val_risk_out_loss: -48.4618\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 413us/step - loss: 1.0995e-05 - risk_out_loss: 1.0995e-05 - val_loss: -48.7998 - val_risk_out_loss: -48.7998\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 264us/step - loss: 9.5784e-05 - risk_out_loss: 9.5784e-05 - val_loss: -49.0664 - val_risk_out_loss: -49.0664\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 287us/step - loss: 1.9608e-05 - risk_out_loss: 1.9608e-05 - val_loss: -49.2873 - val_risk_out_loss: -49.2873\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 333us/step - loss: 4.7328e-04 - risk_out_loss: 4.7328e-04 - val_loss: -49.4650 - val_risk_out_loss: -49.4650\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 310us/step - loss: 0.0014 - risk_out_loss: 0.0014 - val_loss: -49.6499 - val_risk_out_loss: -49.6499\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 299us/step - loss: 9.3771e-06 - risk_out_loss: 9.3771e-06 - val_loss: -49.7933 - val_risk_out_loss: -49.7933\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 322us/step - loss: 5.5001e-05 - risk_out_loss: 5.5001e-05 - val_loss: -49.9328 - val_risk_out_loss: -49.9328\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 333us/step - loss: 3.2247e-05 - risk_out_loss: 3.2247e-05 - val_loss: -50.0502 - val_risk_out_loss: -50.0502\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 310us/step - loss: 8.7590e-05 - risk_out_loss: 8.7590e-05 - val_loss: -50.1435 - val_risk_out_loss: -50.1435\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 333us/step - loss: 1.9676e-05 - risk_out_loss: 1.9676e-05 - val_loss: -50.2302 - val_risk_out_loss: -50.2302\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 345us/step - loss: 1.2331e-04 - risk_out_loss: 1.2331e-04 - val_loss: -50.3081 - val_risk_out_loss: -50.3081\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 333us/step - loss: 3.1838e-05 - risk_out_loss: 3.1838e-05 - val_loss: -50.3844 - val_risk_out_loss: -50.3844\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 356us/step - loss: 1.9443e-04 - risk_out_loss: 1.9443e-04 - val_loss: -50.4355 - val_risk_out_loss: -50.4355\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 299us/step - loss: 2.9553e-05 - risk_out_loss: 2.9553e-05 - val_loss: -50.4760 - val_risk_out_loss: -50.4760\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 345us/step - loss: 2.1411e-05 - risk_out_loss: 2.1411e-05 - val_loss: -50.5171 - val_risk_out_loss: -50.5171\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 379us/step - loss: 6.1353e-05 - risk_out_loss: 6.1353e-05 - val_loss: -50.5536 - val_risk_out_loss: -50.5536\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 299us/step - loss: 5.1377e-05 - risk_out_loss: 5.1377e-05 - val_loss: -50.5745 - val_risk_out_loss: -50.5745\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 368us/step - loss: 6.7786e-05 - risk_out_loss: 6.7786e-05 - val_loss: -50.6103 - val_risk_out_loss: -50.6103\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 333us/step - loss: 5.3397e-05 - risk_out_loss: 5.3397e-05 - val_loss: -50.6397 - val_risk_out_loss: -50.6397\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 287us/step - loss: 9.5988e-05 - risk_out_loss: 9.5988e-05 - val_loss: -50.6716 - val_risk_out_loss: -50.6716\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 391us/step - loss: 9.7296e-05 - risk_out_loss: 9.7296e-05 - val_loss: -50.6837 - val_risk_out_loss: -50.6837\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 356us/step - loss: 7.5040e-05 - risk_out_loss: 7.5040e-05 - val_loss: -50.6996 - val_risk_out_loss: -50.6996\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 391us/step - loss: 4.6286e-04 - risk_out_loss: 4.6286e-04 - val_loss: -50.7036 - val_risk_out_loss: -50.7036\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 402us/step - loss: 1.9956e-05 - risk_out_loss: 1.9956e-05 - val_loss: -50.7015 - val_risk_out_loss: -50.7015\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 322us/step - loss: 2.4657e-05 - risk_out_loss: 2.4657e-05 - val_loss: -50.7003 - val_risk_out_loss: -50.7003\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 310us/step - loss: 2.6565e-05 - risk_out_loss: 2.6565e-05 - val_loss: -50.7006 - val_risk_out_loss: -50.7006\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 345us/step - loss: 6.4648e-05 - risk_out_loss: 6.4648e-05 - val_loss: -50.7104 - val_risk_out_loss: -50.7104\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 310us/step - loss: 1.5987e-05 - risk_out_loss: 1.5987e-05 - val_loss: -50.7136 - val_risk_out_loss: -50.7136\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 287us/step - loss: 7.3093e-04 - risk_out_loss: 7.3093e-04 - val_loss: -50.6862 - val_risk_out_loss: -50.6862\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 356us/step - loss: 8.1909e-06 - risk_out_loss: 8.1909e-06 - val_loss: -50.6698 - val_risk_out_loss: -50.6698\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 253us/step - loss: 1.2987e-04 - risk_out_loss: 1.2987e-04 - val_loss: -50.6545 - val_risk_out_loss: -50.6545\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 322us/step - loss: 1.6685e-05 - risk_out_loss: 1.6685e-05 - val_loss: -50.6360 - val_risk_out_loss: -50.6360\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 345us/step - loss: 3.3992e-05 - risk_out_loss: 3.3992e-05 - val_loss: -50.6226 - val_risk_out_loss: -50.6226\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 379us/step - loss: 0.0012 - risk_out_loss: 0.0012 - val_loss: -50.5756 - val_risk_out_loss: -50.5756\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 333us/step - loss: 1.4900e-05 - risk_out_loss: 1.4900e-05 - val_loss: -50.5400 - val_risk_out_loss: -50.5400\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 310us/step - loss: 2.2617e-05 - risk_out_loss: 2.2617e-05 - val_loss: -50.5104 - val_risk_out_loss: -50.5104\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 391us/step - loss: 1.8530e-04 - risk_out_loss: 1.8530e-04 - val_loss: -50.4781 - val_risk_out_loss: -50.4781\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 356us/step - loss: 1.1371e-05 - risk_out_loss: 1.1371e-05 - val_loss: -50.4411 - val_risk_out_loss: -50.4411\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 391us/step - loss: 1.5884e-05 - risk_out_loss: 1.5884e-05 - val_loss: -50.4157 - val_risk_out_loss: -50.4157\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 310us/step - loss: 1.5064e-05 - risk_out_loss: 1.5064e-05 - val_loss: -50.3870 - val_risk_out_loss: -50.3870\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 310us/step - loss: 0.0196 - risk_out_loss: 0.0196 - val_loss: -49.3940 - val_risk_out_loss: -49.3940\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 310us/step - loss: 6.0493e-05 - risk_out_loss: 6.0493e-05 - val_loss: -48.1354 - val_risk_out_loss: -48.1354\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 310us/step - loss: 6.0783e-05 - risk_out_loss: 6.0783e-05 - val_loss: -46.5187 - val_risk_out_loss: -46.5187\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 276us/step - loss: 2.6823e-04 - risk_out_loss: 2.6823e-04 - val_loss: -44.5295 - val_risk_out_loss: -44.5295\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 310us/step - loss: 4.5291e-04 - risk_out_loss: 4.5291e-04 - val_loss: -42.2909 - val_risk_out_loss: -42.2909\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 299us/step - loss: 1.7852e-04 - risk_out_loss: 1.7852e-04 - val_loss: -39.8099 - val_risk_out_loss: -39.8099\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 333us/step - loss: 2.0099e-04 - risk_out_loss: 2.0099e-04 - val_loss: -37.1468 - val_risk_out_loss: -37.1468\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 322us/step - loss: 0.0414 - risk_out_loss: 0.0414 - val_loss: -40.5780 - val_risk_out_loss: -40.5780\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 299us/step - loss: 0.1548 - risk_out_loss: 0.1548 - val_loss: -46.4139 - val_risk_out_loss: -46.4139\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 299us/step - loss: 2.3680e-05 - risk_out_loss: 2.3680e-05 - val_loss: -49.1162 - val_risk_out_loss: -49.1162\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 322us/step - loss: 1.4609e-04 - risk_out_loss: 1.4609e-04 - val_loss: -50.5148 - val_risk_out_loss: -50.5148\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 299us/step - loss: 3.5043e-05 - risk_out_loss: 3.5043e-05 - val_loss: -51.3603 - val_risk_out_loss: -51.3603\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 356us/step - loss: 0.0129 - risk_out_loss: 0.0129 - val_loss: -51.7111 - val_risk_out_loss: -51.7111\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 345us/step - loss: 0.0064 - risk_out_loss: 0.0064 - val_loss: -51.8573 - val_risk_out_loss: -51.8573\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 322us/step - loss: 3.8270e-04 - risk_out_loss: 3.8270e-04 - val_loss: -51.9470 - val_risk_out_loss: -51.9470\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 322us/step - loss: 0.0021 - risk_out_loss: 0.0021 - val_loss: -52.0137 - val_risk_out_loss: -52.0137\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 299us/step - loss: 0.0019 - risk_out_loss: 0.0019 - val_loss: -52.0429 - val_risk_out_loss: -52.0429\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 310us/step - loss: 3.1832e-04 - risk_out_loss: 3.1832e-04 - val_loss: -52.0707 - val_risk_out_loss: -52.0707\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 379us/step - loss: 0.0018 - risk_out_loss: 0.0018 - val_loss: -52.0710 - val_risk_out_loss: -52.0710\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 310us/step - loss: 0.0012 - risk_out_loss: 0.0012 - val_loss: -52.0468 - val_risk_out_loss: -52.0468\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 322us/step - loss: 0.0069 - risk_out_loss: 0.0069 - val_loss: -51.9071 - val_risk_out_loss: -51.9071\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 345us/step - loss: 0.0015 - risk_out_loss: 0.0015 - val_loss: -51.7535 - val_risk_out_loss: -51.7535\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 264us/step - loss: 5.6815e-04 - risk_out_loss: 5.6815e-04 - val_loss: -51.5944 - val_risk_out_loss: -51.5944\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 333us/step - loss: 0.0030 - risk_out_loss: 0.0030 - val_loss: -51.4237 - val_risk_out_loss: -51.4237\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 299us/step - loss: 0.0050 - risk_out_loss: 0.0050 - val_loss: -51.1977 - val_risk_out_loss: -51.1977\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 276us/step - loss: 0.0037 - risk_out_loss: 0.0037 - val_loss: -50.9047 - val_risk_out_loss: -50.9047\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 345us/step - loss: 0.0148 - risk_out_loss: 0.0148 - val_loss: -50.2629 - val_risk_out_loss: -50.2629\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 356us/step - loss: 0.0227 - risk_out_loss: 0.0227 - val_loss: -48.8890 - val_risk_out_loss: -48.8890\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 322us/step - loss: 6.5869e-04 - risk_out_loss: 6.5869e-04 - val_loss: -47.1324 - val_risk_out_loss: -47.1324\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 287us/step - loss: 0.0019 - risk_out_loss: 0.0019 - val_loss: -45.1935 - val_risk_out_loss: -45.1935\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 345us/step - loss: 0.0031 - risk_out_loss: 0.0031 - val_loss: -42.9076 - val_risk_out_loss: -42.9076\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 322us/step - loss: 0.0024 - risk_out_loss: 0.0024 - val_loss: -40.5170 - val_risk_out_loss: -40.5170\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 322us/step - loss: 3.7649e-04 - risk_out_loss: 3.7649e-04 - val_loss: -37.9797 - val_risk_out_loss: -37.9797\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 379us/step - loss: 0.0043 - risk_out_loss: 0.0043 - val_loss: -37.5326 - val_risk_out_loss: -37.5326\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 276us/step - loss: 8.7258e-04 - risk_out_loss: 8.7258e-04 - val_loss: -37.7955 - val_risk_out_loss: -37.7955\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 299us/step - loss: 0.0024 - risk_out_loss: 0.0024 - val_loss: -39.2634 - val_risk_out_loss: -39.2634\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 299us/step - loss: 1.6610e-04 - risk_out_loss: 1.6610e-04 - val_loss: -40.6108 - val_risk_out_loss: -40.6108\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 322us/step - loss: 0.0079 - risk_out_loss: 0.0079 - val_loss: -43.2615 - val_risk_out_loss: -43.2615\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 276us/step - loss: 0.0575 - risk_out_loss: 0.0575 - val_loss: -46.8747 - val_risk_out_loss: -46.8747\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 356us/step - loss: 3.4531e-05 - risk_out_loss: 3.4531e-05 - val_loss: -48.9079 - val_risk_out_loss: -48.9079\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 333us/step - loss: 1.4965e-04 - risk_out_loss: 1.4965e-04 - val_loss: -50.1223 - val_risk_out_loss: -50.1223\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 322us/step - loss: 5.2639e-05 - risk_out_loss: 5.2639e-05 - val_loss: -50.8993 - val_risk_out_loss: -50.8993\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 379us/step - loss: 0.0020 - risk_out_loss: 0.0020 - val_loss: -51.3889 - val_risk_out_loss: -51.3889\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 287us/step - loss: 1.2005e-04 - risk_out_loss: 1.2005e-04 - val_loss: -51.7094 - val_risk_out_loss: -51.7094\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 322us/step - loss: 0.0111 - risk_out_loss: 0.0111 - val_loss: -51.8582 - val_risk_out_loss: -51.8582\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 322us/step - loss: 0.0012 - risk_out_loss: 0.0012 - val_loss: -51.9840 - val_risk_out_loss: -51.9840\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 322us/step - loss: 2.6100e-04 - risk_out_loss: 2.6100e-04 - val_loss: -52.0708 - val_risk_out_loss: -52.0708\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 299us/step - loss: 0.0016 - risk_out_loss: 0.0016 - val_loss: -52.1347 - val_risk_out_loss: -52.1347\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 310us/step - loss: 1.0811e-05 - risk_out_loss: 1.0811e-05 - val_loss: -52.1846 - val_risk_out_loss: -52.1846\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 264us/step - loss: 0.0137 - risk_out_loss: 0.0137 - val_loss: -52.1560 - val_risk_out_loss: -52.1560\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 299us/step - loss: 0.0503 - risk_out_loss: 0.0503 - val_loss: -51.9147 - val_risk_out_loss: -51.9147\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 345us/step - loss: 0.0057 - risk_out_loss: 0.0057 - val_loss: -51.5539 - val_risk_out_loss: -51.5539\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 287us/step - loss: 0.0042 - risk_out_loss: 0.0042 - val_loss: -51.0891 - val_risk_out_loss: -51.0891\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 310us/step - loss: 1.7797e-05 - risk_out_loss: 1.7797e-05 - val_loss: -50.5298 - val_risk_out_loss: -50.5298\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 322us/step - loss: 8.9341e-06 - risk_out_loss: 8.9341e-06 - val_loss: -49.9428 - val_risk_out_loss: -49.9428\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 322us/step - loss: 0.0063 - risk_out_loss: 0.0063 - val_loss: -49.2959 - val_risk_out_loss: -49.2959\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 413us/step - loss: 0.0023 - risk_out_loss: 0.0023 - val_loss: -48.9316 - val_risk_out_loss: -48.9316\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 299us/step - loss: 0.0016 - risk_out_loss: 0.0016 - val_loss: -48.5472 - val_risk_out_loss: -48.5472\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 299us/step - loss: 1.3047e-04 - risk_out_loss: 1.3047e-04 - val_loss: -48.2050 - val_risk_out_loss: -48.2050\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 322us/step - loss: 4.5581e-04 - risk_out_loss: 4.5581e-04 - val_loss: -47.9365 - val_risk_out_loss: -47.9365\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 356us/step - loss: 1.8340e-04 - risk_out_loss: 1.8340e-04 - val_loss: -47.6935 - val_risk_out_loss: -47.6935\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 345us/step - loss: 1.4594e-06 - risk_out_loss: 1.4594e-06 - val_loss: -47.4900 - val_risk_out_loss: -47.4900\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 391us/step - loss: 2.6861e-04 - risk_out_loss: 2.6861e-04 - val_loss: -47.3066 - val_risk_out_loss: -47.3066\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 333us/step - loss: 8.9237e-07 - risk_out_loss: 8.9237e-07 - val_loss: -47.1482 - val_risk_out_loss: -47.1482\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 322us/step - loss: 2.0055e-05 - risk_out_loss: 2.0055e-05 - val_loss: -47.0021 - val_risk_out_loss: -47.0021\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 368us/step - loss: 5.1979e-06 - risk_out_loss: 5.1979e-06 - val_loss: -46.8739 - val_risk_out_loss: -46.8739\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 322us/step - loss: 0.0583 - risk_out_loss: 0.0583 - val_loss: -48.5881 - val_risk_out_loss: -48.5881\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 471us/step - loss: 3.2845e-04 - risk_out_loss: 3.2845e-04 - val_loss: -49.7060 - val_risk_out_loss: -49.7060\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 345us/step - loss: 3.9561e-05 - risk_out_loss: 3.9561e-05 - val_loss: -50.4659 - val_risk_out_loss: -50.4659\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 333us/step - loss: 4.1069e-04 - risk_out_loss: 4.1069e-04 - val_loss: -50.9970 - val_risk_out_loss: -50.9970\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 345us/step - loss: 2.0175e-04 - risk_out_loss: 2.0175e-04 - val_loss: -51.3546 - val_risk_out_loss: -51.3546\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 310us/step - loss: 2.5090e-06 - risk_out_loss: 2.5090e-06 - val_loss: -51.6324 - val_risk_out_loss: -51.6324\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 379us/step - loss: 1.9792e-05 - risk_out_loss: 1.9792e-05 - val_loss: -51.8180 - val_risk_out_loss: -51.8180\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 310us/step - loss: 2.6083e-05 - risk_out_loss: 2.6083e-05 - val_loss: -51.9519 - val_risk_out_loss: -51.9519\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 310us/step - loss: 0.0039 - risk_out_loss: 0.0039 - val_loss: -52.1562 - val_risk_out_loss: -52.1562\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 345us/step - loss: 9.0100e-05 - risk_out_loss: 9.0100e-05 - val_loss: -52.2961 - val_risk_out_loss: -52.2961\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 310us/step - loss: 5.6906e-04 - risk_out_loss: 5.6906e-04 - val_loss: -52.4062 - val_risk_out_loss: -52.4062\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 322us/step - loss: 1.5858e-05 - risk_out_loss: 1.5858e-05 - val_loss: -52.4974 - val_risk_out_loss: -52.4974\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 299us/step - loss: 0.0035 - risk_out_loss: 0.0035 - val_loss: -52.5527 - val_risk_out_loss: -52.5527\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 287us/step - loss: 2.2879e-05 - risk_out_loss: 2.2879e-05 - val_loss: -52.5901 - val_risk_out_loss: -52.5901\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 368us/step - loss: 7.5404e-04 - risk_out_loss: 7.5404e-04 - val_loss: -52.6236 - val_risk_out_loss: -52.6236\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 299us/step - loss: 3.3591e-04 - risk_out_loss: 3.3591e-04 - val_loss: -52.6516 - val_risk_out_loss: -52.6516\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 333us/step - loss: 9.0032e-05 - risk_out_loss: 9.0032e-05 - val_loss: -52.6741 - val_risk_out_loss: -52.6741\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 322us/step - loss: 7.1823e-04 - risk_out_loss: 7.1823e-04 - val_loss: -52.6937 - val_risk_out_loss: -52.6937\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 356us/step - loss: 6.9302e-05 - risk_out_loss: 6.9302e-05 - val_loss: -52.7121 - val_risk_out_loss: -52.7121\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 379us/step - loss: 2.1337e-04 - risk_out_loss: 2.1337e-04 - val_loss: -52.7243 - val_risk_out_loss: -52.7243\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 368us/step - loss: 0.0039 - risk_out_loss: 0.0039 - val_loss: -52.7304 - val_risk_out_loss: -52.7304\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 517us/step - loss: 0.0014 - risk_out_loss: 0.0014 - val_loss: -52.7347 - val_risk_out_loss: -52.7347\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 413us/step - loss: 1.5357e-04 - risk_out_loss: 1.5357e-04 - val_loss: -52.7391 - val_risk_out_loss: -52.7391\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 310us/step - loss: 0.0254 - risk_out_loss: 0.0254 - val_loss: -52.6904 - val_risk_out_loss: -52.6904\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 299us/step - loss: 4.4188e-04 - risk_out_loss: 4.4188e-04 - val_loss: -52.6410 - val_risk_out_loss: -52.6410\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 310us/step - loss: 2.2139e-05 - risk_out_loss: 2.2139e-05 - val_loss: -52.5783 - val_risk_out_loss: -52.5783\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 299us/step - loss: 4.0268e-06 - risk_out_loss: 4.0268e-06 - val_loss: -52.5266 - val_risk_out_loss: -52.5266\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 322us/step - loss: 0.0073 - risk_out_loss: 0.0073 - val_loss: -52.4290 - val_risk_out_loss: -52.4290\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 287us/step - loss: 0.0016 - risk_out_loss: 0.0016 - val_loss: -52.2992 - val_risk_out_loss: -52.2992\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 310us/step - loss: 3.1425e-04 - risk_out_loss: 3.1425e-04 - val_loss: -52.1500 - val_risk_out_loss: -52.1500\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 322us/step - loss: 0.0013 - risk_out_loss: 0.0013 - val_loss: -51.9793 - val_risk_out_loss: -51.9793\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 310us/step - loss: 7.7739e-06 - risk_out_loss: 7.7739e-06 - val_loss: -51.7741 - val_risk_out_loss: -51.7741\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 276us/step - loss: 1.4381e-05 - risk_out_loss: 1.4381e-05 - val_loss: -51.5728 - val_risk_out_loss: -51.5728\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 345us/step - loss: 9.9149e-06 - risk_out_loss: 9.9149e-06 - val_loss: -51.3637 - val_risk_out_loss: -51.3637\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 333us/step - loss: 0.0010 - risk_out_loss: 0.0010 - val_loss: -51.1292 - val_risk_out_loss: -51.1292\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 368us/step - loss: 2.7039e-06 - risk_out_loss: 2.7039e-06 - val_loss: -50.8930 - val_risk_out_loss: -50.8930\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 299us/step - loss: 2.0164e-06 - risk_out_loss: 2.0164e-06 - val_loss: -50.6552 - val_risk_out_loss: -50.6552\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 356us/step - loss: 1.4281e-05 - risk_out_loss: 1.4281e-05 - val_loss: -50.4297 - val_risk_out_loss: -50.4297\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 310us/step - loss: 7.7369e-06 - risk_out_loss: 7.7369e-06 - val_loss: -50.2175 - val_risk_out_loss: -50.2175\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 391us/step - loss: 1.4552e-04 - risk_out_loss: 1.4552e-04 - val_loss: -49.9953 - val_risk_out_loss: -49.9953\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 379us/step - loss: 0.0046 - risk_out_loss: 0.0046 - val_loss: -49.6622 - val_risk_out_loss: -49.6622\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 356us/step - loss: 6.4912e-05 - risk_out_loss: 6.4912e-05 - val_loss: -49.3582 - val_risk_out_loss: -49.3582\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 333us/step - loss: 4.4564e-06 - risk_out_loss: 4.4564e-06 - val_loss: -49.0599 - val_risk_out_loss: -49.0599\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 391us/step - loss: 6.5002e-06 - risk_out_loss: 6.5002e-06 - val_loss: -48.7830 - val_risk_out_loss: -48.7830\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 356us/step - loss: 1.5306e-04 - risk_out_loss: 1.5306e-04 - val_loss: -48.4981 - val_risk_out_loss: -48.4981\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 345us/step - loss: 2.2550e-04 - risk_out_loss: 2.2550e-04 - val_loss: -48.2796 - val_risk_out_loss: -48.2796\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 287us/step - loss: 0.0017 - risk_out_loss: 0.0017 - val_loss: -48.4163 - val_risk_out_loss: -48.4163\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 276us/step - loss: 1.9440e-05 - risk_out_loss: 1.9440e-05 - val_loss: -48.5434 - val_risk_out_loss: -48.5434\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 322us/step - loss: 0.0042 - risk_out_loss: 0.0042 - val_loss: -49.1775 - val_risk_out_loss: -49.1775\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 264us/step - loss: 8.7584e-05 - risk_out_loss: 8.7584e-05 - val_loss: -49.6902 - val_risk_out_loss: -49.6902\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 333us/step - loss: 6.3422e-05 - risk_out_loss: 6.3422e-05 - val_loss: -50.0905 - val_risk_out_loss: -50.0905\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 322us/step - loss: 1.1319e-05 - risk_out_loss: 1.1319e-05 - val_loss: -50.4248 - val_risk_out_loss: -50.4248\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 333us/step - loss: 8.3837e-06 - risk_out_loss: 8.3837e-06 - val_loss: -50.6967 - val_risk_out_loss: -50.6967\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 287us/step - loss: 8.7075e-06 - risk_out_loss: 8.7075e-06 - val_loss: -50.9146 - val_risk_out_loss: -50.9146\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 310us/step - loss: 4.0942e-06 - risk_out_loss: 4.0942e-06 - val_loss: -51.1021 - val_risk_out_loss: -51.1021\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 310us/step - loss: 1.0191e-04 - risk_out_loss: 1.0191e-04 - val_loss: -51.2533 - val_risk_out_loss: -51.2533\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 310us/step - loss: 4.7385e-05 - risk_out_loss: 4.7385e-05 - val_loss: -51.3793 - val_risk_out_loss: -51.3793\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 299us/step - loss: 2.5059e-06 - risk_out_loss: 2.5059e-06 - val_loss: -51.5013 - val_risk_out_loss: -51.5013\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 368us/step - loss: 2.5954e-05 - risk_out_loss: 2.5954e-05 - val_loss: -51.5820 - val_risk_out_loss: -51.5820\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 276us/step - loss: 5.1967e-05 - risk_out_loss: 5.1967e-05 - val_loss: -51.6634 - val_risk_out_loss: -51.6634\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 333us/step - loss: 1.4185e-04 - risk_out_loss: 1.4185e-04 - val_loss: -51.7275 - val_risk_out_loss: -51.7275\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 310us/step - loss: 3.8689e-05 - risk_out_loss: 3.8689e-05 - val_loss: -51.7758 - val_risk_out_loss: -51.7758\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 299us/step - loss: 1.3971e-04 - risk_out_loss: 1.3971e-04 - val_loss: -51.8262 - val_risk_out_loss: -51.8262\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 310us/step - loss: 2.1317e-04 - risk_out_loss: 2.1317e-04 - val_loss: -51.8676 - val_risk_out_loss: -51.8676\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 299us/step - loss: 5.4249e-06 - risk_out_loss: 5.4249e-06 - val_loss: -51.9006 - val_risk_out_loss: -51.9006\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 356us/step - loss: 1.4054e-05 - risk_out_loss: 1.4054e-05 - val_loss: -51.9362 - val_risk_out_loss: -51.9362\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 299us/step - loss: 4.0709e-05 - risk_out_loss: 4.0709e-05 - val_loss: -51.9774 - val_risk_out_loss: -51.9774\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 322us/step - loss: 2.8293e-05 - risk_out_loss: 2.8293e-05 - val_loss: -52.0031 - val_risk_out_loss: -52.0031\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 287us/step - loss: 1.1125e-05 - risk_out_loss: 1.1125e-05 - val_loss: -52.0212 - val_risk_out_loss: -52.0212\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 436us/step - loss: 7.3816e-06 - risk_out_loss: 7.3816e-06 - val_loss: -52.0378 - val_risk_out_loss: -52.0378\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 402us/step - loss: 2.2294e-06 - risk_out_loss: 2.2294e-06 - val_loss: -52.0587 - val_risk_out_loss: -52.0587\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 345us/step - loss: 0.0011 - risk_out_loss: 0.0011 - val_loss: -52.1113 - val_risk_out_loss: -52.1113\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 402us/step - loss: 1.1318e-04 - risk_out_loss: 1.1318e-04 - val_loss: -52.1730 - val_risk_out_loss: -52.1730\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 414us/step - loss: 2.4129e-06 - risk_out_loss: 2.4129e-06 - val_loss: -52.2176 - val_risk_out_loss: -52.2176\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 310us/step - loss: 9.7151e-06 - risk_out_loss: 9.7151e-06 - val_loss: -52.2483 - val_risk_out_loss: -52.2483\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 345us/step - loss: 0.0031 - risk_out_loss: 0.0031 - val_loss: -52.2551 - val_risk_out_loss: -52.2551\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 310us/step - loss: 4.3303e-06 - risk_out_loss: 4.3303e-06 - val_loss: -52.2602 - val_risk_out_loss: -52.2602\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 287us/step - loss: 7.2196e-06 - risk_out_loss: 7.2196e-06 - val_loss: -52.2698 - val_risk_out_loss: -52.2698\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 333us/step - loss: 3.3105e-06 - risk_out_loss: 3.3105e-06 - val_loss: -52.2734 - val_risk_out_loss: -52.2734\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 276us/step - loss: 1.7748e-05 - risk_out_loss: 1.7748e-05 - val_loss: -52.2727 - val_risk_out_loss: -52.2727\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 310us/step - loss: 2.1345e-05 - risk_out_loss: 2.1345e-05 - val_loss: -52.2800 - val_risk_out_loss: -52.2800\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 345us/step - loss: 2.3395e-04 - risk_out_loss: 2.3395e-04 - val_loss: -52.2835 - val_risk_out_loss: -52.2835\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 333us/step - loss: 8.4295e-05 - risk_out_loss: 8.4295e-05 - val_loss: -52.2905 - val_risk_out_loss: -52.2905\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 322us/step - loss: 0.0017 - risk_out_loss: 0.0017 - val_loss: -52.2780 - val_risk_out_loss: -52.2780\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 310us/step - loss: 2.0516e-06 - risk_out_loss: 2.0516e-06 - val_loss: -52.2701 - val_risk_out_loss: -52.2701\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 345us/step - loss: 7.4551e-05 - risk_out_loss: 7.4551e-05 - val_loss: -52.2678 - val_risk_out_loss: -52.2678\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 391us/step - loss: 1.7107e-06 - risk_out_loss: 1.7107e-06 - val_loss: -52.2649 - val_risk_out_loss: -52.2649\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 333us/step - loss: 1.6586e-05 - risk_out_loss: 1.6586e-05 - val_loss: -52.2613 - val_risk_out_loss: -52.2613\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 333us/step - loss: 4.6735e-06 - risk_out_loss: 4.6735e-06 - val_loss: -52.2565 - val_risk_out_loss: -52.2565\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 402us/step - loss: 3.6869e-06 - risk_out_loss: 3.6869e-06 - val_loss: -52.2537 - val_risk_out_loss: -52.2537\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 310us/step - loss: 4.9921e-06 - risk_out_loss: 4.9921e-06 - val_loss: -52.2508 - val_risk_out_loss: -52.2508\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 356us/step - loss: 2.5977e-07 - risk_out_loss: 2.5977e-07 - val_loss: -52.2481 - val_risk_out_loss: -52.2481\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 379us/step - loss: 9.8843e-05 - risk_out_loss: 9.8843e-05 - val_loss: -52.2487 - val_risk_out_loss: -52.2487\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 368us/step - loss: 6.1694e-04 - risk_out_loss: 6.1694e-04 - val_loss: -52.2445 - val_risk_out_loss: -52.2445\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 345us/step - loss: 1.9011e-06 - risk_out_loss: 1.9011e-06 - val_loss: -52.2439 - val_risk_out_loss: -52.2439\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 333us/step - loss: 0.0017 - risk_out_loss: 0.0017 - val_loss: -52.2632 - val_risk_out_loss: -52.2632\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 413us/step - loss: 1.1524e-05 - risk_out_loss: 1.1524e-05 - val_loss: -52.2790 - val_risk_out_loss: -52.2790\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 425us/step - loss: 2.6531e-06 - risk_out_loss: 2.6531e-06 - val_loss: -52.2969 - val_risk_out_loss: -52.2969\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 471us/step - loss: 4.4314e-06 - risk_out_loss: 4.4314e-06 - val_loss: -52.3186 - val_risk_out_loss: -52.3186\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 356us/step - loss: 4.6930e-04 - risk_out_loss: 4.6930e-04 - val_loss: -52.3267 - val_risk_out_loss: -52.3267\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 379us/step - loss: 3.5792e-06 - risk_out_loss: 3.5792e-06 - val_loss: -52.3384 - val_risk_out_loss: -52.3384\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 482us/step - loss: 1.5835e-06 - risk_out_loss: 1.5835e-06 - val_loss: -52.3467 - val_risk_out_loss: -52.3467\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 379us/step - loss: 2.5709e-04 - risk_out_loss: 2.5709e-04 - val_loss: -52.3510 - val_risk_out_loss: -52.3510\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 379us/step - loss: 6.6117e-06 - risk_out_loss: 6.6117e-06 - val_loss: -52.3561 - val_risk_out_loss: -52.3561\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 379us/step - loss: 4.0989e-05 - risk_out_loss: 4.0989e-05 - val_loss: -52.3617 - val_risk_out_loss: -52.3617\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 368us/step - loss: 8.7136e-06 - risk_out_loss: 8.7136e-06 - val_loss: -52.3669 - val_risk_out_loss: -52.3669\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 322us/step - loss: 8.9494e-06 - risk_out_loss: 8.9494e-06 - val_loss: -52.3705 - val_risk_out_loss: -52.3705\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 310us/step - loss: 1.6436e-06 - risk_out_loss: 1.6436e-06 - val_loss: -52.3729 - val_risk_out_loss: -52.3729\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 368us/step - loss: 7.8174e-06 - risk_out_loss: 7.8174e-06 - val_loss: -52.3750 - val_risk_out_loss: -52.3750\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 391us/step - loss: 9.7581e-05 - risk_out_loss: 9.7581e-05 - val_loss: -52.3766 - val_risk_out_loss: -52.3766\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 425us/step - loss: 3.7176e-06 - risk_out_loss: 3.7176e-06 - val_loss: -52.3771 - val_risk_out_loss: -52.3771\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 333us/step - loss: 0.0455 - risk_out_loss: 0.0455 - val_loss: -52.0509 - val_risk_out_loss: -52.0509\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 322us/step - loss: 3.1646e-06 - risk_out_loss: 3.1646e-06 - val_loss: -51.5563 - val_risk_out_loss: -51.5563\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 345us/step - loss: 1.1348e-05 - risk_out_loss: 1.1348e-05 - val_loss: -50.9154 - val_risk_out_loss: -50.9154\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 368us/step - loss: 0.0122 - risk_out_loss: 0.0122 - val_loss: -50.8151 - val_risk_out_loss: -50.8151\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 391us/step - loss: 1.6606e-05 - risk_out_loss: 1.6606e-05 - val_loss: -50.6789 - val_risk_out_loss: -50.6789\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 402us/step - loss: 8.0043e-07 - risk_out_loss: 8.0043e-07 - val_loss: -50.5291 - val_risk_out_loss: -50.5291\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 368us/step - loss: 1.2651e-05 - risk_out_loss: 1.2651e-05 - val_loss: -50.3884 - val_risk_out_loss: -50.3884\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 310us/step - loss: 4.7165e-06 - risk_out_loss: 4.7165e-06 - val_loss: -50.2248 - val_risk_out_loss: -50.2248\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 322us/step - loss: 2.3571e-05 - risk_out_loss: 2.3571e-05 - val_loss: -50.0830 - val_risk_out_loss: -50.0830\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 322us/step - loss: 4.8898e-06 - risk_out_loss: 4.8898e-06 - val_loss: -49.9337 - val_risk_out_loss: -49.9337\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 345us/step - loss: 6.7770e-04 - risk_out_loss: 6.7770e-04 - val_loss: -49.8271 - val_risk_out_loss: -49.8271\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 345us/step - loss: 1.1232e-05 - risk_out_loss: 1.1232e-05 - val_loss: -49.7288 - val_risk_out_loss: -49.7288\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 345us/step - loss: 0.0166 - risk_out_loss: 0.0166 - val_loss: -50.4036 - val_risk_out_loss: -50.4036\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 333us/step - loss: 3.5950e-06 - risk_out_loss: 3.5950e-06 - val_loss: -50.8989 - val_risk_out_loss: -50.8989\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 322us/step - loss: 1.7229e-06 - risk_out_loss: 1.7229e-06 - val_loss: -51.2700 - val_risk_out_loss: -51.2700\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 333us/step - loss: 3.2860e-06 - risk_out_loss: 3.2860e-06 - val_loss: -51.5682 - val_risk_out_loss: -51.5682\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 345us/step - loss: 0.0024 - risk_out_loss: 0.0024 - val_loss: -51.7332 - val_risk_out_loss: -51.7332\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 333us/step - loss: 3.0037e-06 - risk_out_loss: 3.0037e-06 - val_loss: -51.8627 - val_risk_out_loss: -51.8627\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 379us/step - loss: 1.3132e-05 - risk_out_loss: 1.3132e-05 - val_loss: -51.9765 - val_risk_out_loss: -51.9765\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 345us/step - loss: 2.4354e-05 - risk_out_loss: 2.4354e-05 - val_loss: -52.0625 - val_risk_out_loss: -52.0625\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 368us/step - loss: 3.9269e-05 - risk_out_loss: 3.9269e-05 - val_loss: -52.1372 - val_risk_out_loss: -52.1372\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 345us/step - loss: 6.2414e-06 - risk_out_loss: 6.2414e-06 - val_loss: -52.2085 - val_risk_out_loss: -52.2085\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 471us/step - loss: 9.7017e-06 - risk_out_loss: 9.7017e-06 - val_loss: -52.2618 - val_risk_out_loss: -52.2618\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 391us/step - loss: 4.1113e-04 - risk_out_loss: 4.1113e-04 - val_loss: -52.3062 - val_risk_out_loss: -52.3062\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 310us/step - loss: 2.0593e-05 - risk_out_loss: 2.0593e-05 - val_loss: -52.3328 - val_risk_out_loss: -52.3328\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 368us/step - loss: 1.1486e-05 - risk_out_loss: 1.1486e-05 - val_loss: -52.3696 - val_risk_out_loss: -52.3696\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 368us/step - loss: 2.9765e-05 - risk_out_loss: 2.9765e-05 - val_loss: -52.3900 - val_risk_out_loss: -52.3900\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 322us/step - loss: 3.1198e-05 - risk_out_loss: 3.1198e-05 - val_loss: -52.4141 - val_risk_out_loss: -52.4141\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 333us/step - loss: 1.0021e-04 - risk_out_loss: 1.0021e-04 - val_loss: -52.4319 - val_risk_out_loss: -52.4319\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 459us/step - loss: 7.4164e-05 - risk_out_loss: 7.4164e-05 - val_loss: -52.4465 - val_risk_out_loss: -52.4465\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 413us/step - loss: 2.0693e-05 - risk_out_loss: 2.0693e-05 - val_loss: -52.4652 - val_risk_out_loss: -52.4652\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 322us/step - loss: 1.7695e-05 - risk_out_loss: 1.7695e-05 - val_loss: -52.4775 - val_risk_out_loss: -52.4775\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 356us/step - loss: 1.7541e-05 - risk_out_loss: 1.7541e-05 - val_loss: -52.4866 - val_risk_out_loss: -52.4866\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 356us/step - loss: 3.3234e-05 - risk_out_loss: 3.3234e-05 - val_loss: -52.4970 - val_risk_out_loss: -52.4970\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 322us/step - loss: 1.3222e-05 - risk_out_loss: 1.3222e-05 - val_loss: -52.5077 - val_risk_out_loss: -52.5077\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 356us/step - loss: 1.7068e-04 - risk_out_loss: 1.7068e-04 - val_loss: -52.5138 - val_risk_out_loss: -52.5138\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 322us/step - loss: 0.0092 - risk_out_loss: 0.0092 - val_loss: -52.4521 - val_risk_out_loss: -52.4521\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 310us/step - loss: 0.0321 - risk_out_loss: 0.0321 - val_loss: -52.1229 - val_risk_out_loss: -52.1229\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 345us/step - loss: 3.5393e-05 - risk_out_loss: 3.5393e-05 - val_loss: -51.7113 - val_risk_out_loss: -51.7113\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 322us/step - loss: 6.4723e-06 - risk_out_loss: 6.4723e-06 - val_loss: -51.1770 - val_risk_out_loss: -51.1770\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 356us/step - loss: 2.9702e-06 - risk_out_loss: 2.9702e-06 - val_loss: -50.4892 - val_risk_out_loss: -50.4892\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 310us/step - loss: 3.5204e-06 - risk_out_loss: 3.5204e-06 - val_loss: -49.6032 - val_risk_out_loss: -49.6032\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 356us/step - loss: 4.4270e-06 - risk_out_loss: 4.4270e-06 - val_loss: -48.6090 - val_risk_out_loss: -48.6090\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 345us/step - loss: 6.5767e-05 - risk_out_loss: 6.5767e-05 - val_loss: -47.5152 - val_risk_out_loss: -47.5152\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 368us/step - loss: 0.0012 - risk_out_loss: 0.0012 - val_loss: -46.6622 - val_risk_out_loss: -46.6622\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 322us/step - loss: 0.0171 - risk_out_loss: 0.0171 - val_loss: -47.6406 - val_risk_out_loss: -47.6406\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 379us/step - loss: 2.6661e-04 - risk_out_loss: 2.6661e-04 - val_loss: -48.3505 - val_risk_out_loss: -48.3505\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 413us/step - loss: 1.2261e-05 - risk_out_loss: 1.2261e-05 - val_loss: -48.8912 - val_risk_out_loss: -48.8912\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 322us/step - loss: 7.5420e-06 - risk_out_loss: 7.5420e-06 - val_loss: -49.2901 - val_risk_out_loss: -49.2901\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 712us/step - loss: 4.5105e-06 - risk_out_loss: 4.5105e-06 - val_loss: -49.6204 - val_risk_out_loss: -49.6204\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 368us/step - loss: 0.0025 - risk_out_loss: 0.0025 - val_loss: -50.0648 - val_risk_out_loss: -50.0648\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 471us/step - loss: 5.1374e-05 - risk_out_loss: 5.1374e-05 - val_loss: -50.4043 - val_risk_out_loss: -50.4043\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 402us/step - loss: 2.6729e-05 - risk_out_loss: 2.6729e-05 - val_loss: -50.6797 - val_risk_out_loss: -50.6797\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 517us/step - loss: 7.7641e-06 - risk_out_loss: 7.7641e-06 - val_loss: -50.9134 - val_risk_out_loss: -50.9134\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 356us/step - loss: 8.9768e-04 - risk_out_loss: 8.9768e-04 - val_loss: -51.1038 - val_risk_out_loss: -51.1038\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 333us/step - loss: 1.3034e-05 - risk_out_loss: 1.3034e-05 - val_loss: -51.2569 - val_risk_out_loss: -51.2569\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 356us/step - loss: 1.5640e-05 - risk_out_loss: 1.5640e-05 - val_loss: -51.3832 - val_risk_out_loss: -51.3832\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 379us/step - loss: 4.8083e-06 - risk_out_loss: 4.8083e-06 - val_loss: -51.4872 - val_risk_out_loss: -51.4872\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 356us/step - loss: 0.0049 - risk_out_loss: 0.0049 - val_loss: -51.4613 - val_risk_out_loss: -51.4613\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 322us/step - loss: 1.4775e-05 - risk_out_loss: 1.4775e-05 - val_loss: -51.4399 - val_risk_out_loss: -51.4399\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 436us/step - loss: 2.8148e-06 - risk_out_loss: 2.8148e-06 - val_loss: -51.4173 - val_risk_out_loss: -51.4173\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 345us/step - loss: 4.8118e-05 - risk_out_loss: 4.8118e-05 - val_loss: -51.3981 - val_risk_out_loss: -51.3981\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 322us/step - loss: 3.3023e-05 - risk_out_loss: 3.3023e-05 - val_loss: -51.3807 - val_risk_out_loss: -51.3807\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 356us/step - loss: 9.8991e-06 - risk_out_loss: 9.8991e-06 - val_loss: -51.3655 - val_risk_out_loss: -51.3655\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 368us/step - loss: 6.5394e-06 - risk_out_loss: 6.5394e-06 - val_loss: -51.3488 - val_risk_out_loss: -51.3488\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 505us/step - loss: 2.0907e-05 - risk_out_loss: 2.0907e-05 - val_loss: -51.3353 - val_risk_out_loss: -51.3353\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 413us/step - loss: 4.8535e-05 - risk_out_loss: 4.8535e-05 - val_loss: -51.3261 - val_risk_out_loss: -51.3261\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 356us/step - loss: 1.0198e-06 - risk_out_loss: 1.0198e-06 - val_loss: -51.3165 - val_risk_out_loss: -51.3165\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 436us/step - loss: 6.5480e-05 - risk_out_loss: 6.5480e-05 - val_loss: -51.3058 - val_risk_out_loss: -51.3058\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 333us/step - loss: 1.9948e-05 - risk_out_loss: 1.9948e-05 - val_loss: -51.2960 - val_risk_out_loss: -51.2960\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 333us/step - loss: 9.1251e-07 - risk_out_loss: 9.1251e-07 - val_loss: -51.2891 - val_risk_out_loss: -51.2891\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 379us/step - loss: 9.2056e-06 - risk_out_loss: 9.2056e-06 - val_loss: -51.2836 - val_risk_out_loss: -51.2836\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 368us/step - loss: 2.6959e-05 - risk_out_loss: 2.6959e-05 - val_loss: -51.2786 - val_risk_out_loss: -51.2786\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 310us/step - loss: 9.5720e-06 - risk_out_loss: 9.5720e-06 - val_loss: -51.2740 - val_risk_out_loss: -51.2740\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 310us/step - loss: 7.1352e-07 - risk_out_loss: 7.1352e-07 - val_loss: -51.2698 - val_risk_out_loss: -51.2698\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 356us/step - loss: 4.7373e-06 - risk_out_loss: 4.7373e-06 - val_loss: -51.2704 - val_risk_out_loss: -51.2704\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 391us/step - loss: 5.4777e-04 - risk_out_loss: 5.4777e-04 - val_loss: -51.2821 - val_risk_out_loss: -51.2821\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 345us/step - loss: 2.3375e-04 - risk_out_loss: 2.3375e-04 - val_loss: -51.3326 - val_risk_out_loss: -51.3326\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 402us/step - loss: 1.1445e-05 - risk_out_loss: 1.1445e-05 - val_loss: -51.3660 - val_risk_out_loss: -51.3660\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 379us/step - loss: 1.0276e-04 - risk_out_loss: 1.0276e-04 - val_loss: -51.3986 - val_risk_out_loss: -51.3986\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 379us/step - loss: 4.5948e-05 - risk_out_loss: 4.5948e-05 - val_loss: -51.4253 - val_risk_out_loss: -51.4253\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 356us/step - loss: 7.5091e-06 - risk_out_loss: 7.5091e-06 - val_loss: -51.4517 - val_risk_out_loss: -51.4517\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 368us/step - loss: 9.5087e-06 - risk_out_loss: 9.5087e-06 - val_loss: -51.4683 - val_risk_out_loss: -51.4683\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 368us/step - loss: 5.6515e-06 - risk_out_loss: 5.6515e-06 - val_loss: -51.4858 - val_risk_out_loss: -51.4858\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 425us/step - loss: 6.3890e-06 - risk_out_loss: 6.3890e-06 - val_loss: -51.5067 - val_risk_out_loss: -51.5067\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 402us/step - loss: 7.5642e-06 - risk_out_loss: 7.5642e-06 - val_loss: -51.5169 - val_risk_out_loss: -51.5169\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 333us/step - loss: 9.9139e-05 - risk_out_loss: 9.9139e-05 - val_loss: -51.5261 - val_risk_out_loss: -51.5261\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 322us/step - loss: 8.6895e-07 - risk_out_loss: 8.6895e-07 - val_loss: -51.5385 - val_risk_out_loss: -51.5385\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 413us/step - loss: 4.6328e-06 - risk_out_loss: 4.6328e-06 - val_loss: -51.5469 - val_risk_out_loss: -51.5469\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 345us/step - loss: 1.2878e-05 - risk_out_loss: 1.2878e-05 - val_loss: -51.5532 - val_risk_out_loss: -51.5532\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 413us/step - loss: 3.9670e-06 - risk_out_loss: 3.9670e-06 - val_loss: -51.5620 - val_risk_out_loss: -51.5620\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 413us/step - loss: 1.0769e-05 - risk_out_loss: 1.0769e-05 - val_loss: -51.5672 - val_risk_out_loss: -51.5672\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 345us/step - loss: 8.6881e-05 - risk_out_loss: 8.6881e-05 - val_loss: -51.5726 - val_risk_out_loss: -51.5726\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 356us/step - loss: 2.7875e-06 - risk_out_loss: 2.7875e-06 - val_loss: -51.5807 - val_risk_out_loss: -51.5807\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 333us/step - loss: 1.4301e-05 - risk_out_loss: 1.4301e-05 - val_loss: -51.5860 - val_risk_out_loss: -51.5860\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 379us/step - loss: 1.6222e-04 - risk_out_loss: 1.6222e-04 - val_loss: -51.5865 - val_risk_out_loss: -51.5865\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 368us/step - loss: 7.1041e-06 - risk_out_loss: 7.1041e-06 - val_loss: -51.5869 - val_risk_out_loss: -51.5869\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 333us/step - loss: 8.9214e-05 - risk_out_loss: 8.9214e-05 - val_loss: -51.5864 - val_risk_out_loss: -51.5864\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 345us/step - loss: 2.8033e-06 - risk_out_loss: 2.8033e-06 - val_loss: -51.5858 - val_risk_out_loss: -51.5858\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 356us/step - loss: 1.8602e-05 - risk_out_loss: 1.8602e-05 - val_loss: -51.5853 - val_risk_out_loss: -51.5853\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 391us/step - loss: 4.1105e-06 - risk_out_loss: 4.1105e-06 - val_loss: -51.5855 - val_risk_out_loss: -51.5855\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 333us/step - loss: 6.9219e-05 - risk_out_loss: 6.9219e-05 - val_loss: -51.5864 - val_risk_out_loss: -51.5864\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 379us/step - loss: 1.2119e-05 - risk_out_loss: 1.2119e-05 - val_loss: -51.5871 - val_risk_out_loss: -51.5871\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 322us/step - loss: 2.7388e-06 - risk_out_loss: 2.7388e-06 - val_loss: -51.5876 - val_risk_out_loss: -51.5876\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 368us/step - loss: 3.9264e-06 - risk_out_loss: 3.9264e-06 - val_loss: -51.5882 - val_risk_out_loss: -51.5882\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 345us/step - loss: 7.4270e-04 - risk_out_loss: 7.4270e-04 - val_loss: -51.6433 - val_risk_out_loss: -51.6433\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 299us/step - loss: 0.0040 - risk_out_loss: 0.0040 - val_loss: -52.1140 - val_risk_out_loss: -52.1140\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 322us/step - loss: 7.6756e-06 - risk_out_loss: 7.6756e-06 - val_loss: -52.3936 - val_risk_out_loss: -52.3936\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 425us/step - loss: 0.0061 - risk_out_loss: 0.0061 - val_loss: -52.6229 - val_risk_out_loss: -52.6229\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 379us/step - loss: 1.1378e-06 - risk_out_loss: 1.1378e-06 - val_loss: -52.7324 - val_risk_out_loss: -52.7324\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 368us/step - loss: 3.7723e-06 - risk_out_loss: 3.7723e-06 - val_loss: -52.7882 - val_risk_out_loss: -52.7882\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 368us/step - loss: 8.2016e-06 - risk_out_loss: 8.2016e-06 - val_loss: -52.8238 - val_risk_out_loss: -52.8238\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 345us/step - loss: 8.6324e-04 - risk_out_loss: 8.6324e-04 - val_loss: -52.8489 - val_risk_out_loss: -52.8489\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 368us/step - loss: 7.1796e-07 - risk_out_loss: 7.1796e-07 - val_loss: -52.8717 - val_risk_out_loss: -52.8717\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 345us/step - loss: 0.0022 - risk_out_loss: 0.0022 - val_loss: -52.8824 - val_risk_out_loss: -52.8824\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 333us/step - loss: 8.0063e-06 - risk_out_loss: 8.0063e-06 - val_loss: -52.8886 - val_risk_out_loss: -52.8886\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 379us/step - loss: 1.4931e-05 - risk_out_loss: 1.4931e-05 - val_loss: -52.8936 - val_risk_out_loss: -52.8936\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 368us/step - loss: 6.5861e-04 - risk_out_loss: 6.5861e-04 - val_loss: -52.8977 - val_risk_out_loss: -52.8977\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 322us/step - loss: 2.4607e-04 - risk_out_loss: 2.4607e-04 - val_loss: -52.9023 - val_risk_out_loss: -52.9023\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 345us/step - loss: 0.0382 - risk_out_loss: 0.0382 - val_loss: -52.8861 - val_risk_out_loss: -52.8861\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 345us/step - loss: 8.5971e-07 - risk_out_loss: 8.5971e-07 - val_loss: -52.8730 - val_risk_out_loss: -52.8730\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 322us/step - loss: 1.5123e-05 - risk_out_loss: 1.5123e-05 - val_loss: -52.8607 - val_risk_out_loss: -52.8607\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 448us/step - loss: 5.6329e-06 - risk_out_loss: 5.6329e-06 - val_loss: -52.8442 - val_risk_out_loss: -52.8442\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 322us/step - loss: 5.1572e-04 - risk_out_loss: 5.1572e-04 - val_loss: -52.8190 - val_risk_out_loss: -52.8190\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 368us/step - loss: 8.0154e-05 - risk_out_loss: 8.0154e-05 - val_loss: -52.7912 - val_risk_out_loss: -52.7912\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 425us/step - loss: 0.0029 - risk_out_loss: 0.0029 - val_loss: -52.7618 - val_risk_out_loss: -52.7618\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 391us/step - loss: 6.2567e-07 - risk_out_loss: 6.2567e-07 - val_loss: -52.7289 - val_risk_out_loss: -52.7289\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 391us/step - loss: 1.6864e-06 - risk_out_loss: 1.6864e-06 - val_loss: -52.6803 - val_risk_out_loss: -52.6803\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 379us/step - loss: 7.4506e-06 - risk_out_loss: 7.4506e-06 - val_loss: -52.6476 - val_risk_out_loss: -52.6476\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 333us/step - loss: 9.3138e-07 - risk_out_loss: 9.3138e-07 - val_loss: -52.6085 - val_risk_out_loss: -52.6085\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 345us/step - loss: 2.4478e-06 - risk_out_loss: 2.4478e-06 - val_loss: -52.5748 - val_risk_out_loss: -52.5748\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 333us/step - loss: 6.3669e-07 - risk_out_loss: 6.3669e-07 - val_loss: -52.5394 - val_risk_out_loss: -52.5394\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 368us/step - loss: 8.6207e-05 - risk_out_loss: 8.6207e-05 - val_loss: -52.5090 - val_risk_out_loss: -52.5090\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 356us/step - loss: 8.0580e-05 - risk_out_loss: 8.0580e-05 - val_loss: -52.4816 - val_risk_out_loss: -52.4816\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 368us/step - loss: 9.4258e-07 - risk_out_loss: 9.4258e-07 - val_loss: -52.4583 - val_risk_out_loss: -52.4583\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 345us/step - loss: 2.3528e-06 - risk_out_loss: 2.3528e-06 - val_loss: -52.4395 - val_risk_out_loss: -52.4395\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 436us/step - loss: 3.7953e-06 - risk_out_loss: 3.7953e-06 - val_loss: -52.4140 - val_risk_out_loss: -52.4140\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 333us/step - loss: 1.3648e-05 - risk_out_loss: 1.3648e-05 - val_loss: -52.3959 - val_risk_out_loss: -52.3959\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 333us/step - loss: 1.5076e-06 - risk_out_loss: 1.5076e-06 - val_loss: -52.3761 - val_risk_out_loss: -52.3761\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 345us/step - loss: 1.0873e-05 - risk_out_loss: 1.0873e-05 - val_loss: -52.3516 - val_risk_out_loss: -52.3516\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 379us/step - loss: 0.0100 - risk_out_loss: 0.0100 - val_loss: -52.2517 - val_risk_out_loss: -52.2517\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 391us/step - loss: 6.7666e-07 - risk_out_loss: 6.7666e-07 - val_loss: -52.1411 - val_risk_out_loss: -52.1411\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 413us/step - loss: 3.4312e-07 - risk_out_loss: 3.4312e-07 - val_loss: -52.0290 - val_risk_out_loss: -52.0290\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 402us/step - loss: 5.4187e-06 - risk_out_loss: 5.4187e-06 - val_loss: -51.9096 - val_risk_out_loss: -51.9096\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 333us/step - loss: 1.9740e-07 - risk_out_loss: 1.9740e-07 - val_loss: -51.7925 - val_risk_out_loss: -51.7925\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 356us/step - loss: 1.7586e-07 - risk_out_loss: 1.7586e-07 - val_loss: -51.6761 - val_risk_out_loss: -51.6761\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 425us/step - loss: 1.6921e-06 - risk_out_loss: 1.6921e-06 - val_loss: -51.5504 - val_risk_out_loss: -51.5504\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 322us/step - loss: 6.2852e-07 - risk_out_loss: 6.2852e-07 - val_loss: -51.4353 - val_risk_out_loss: -51.4353\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 379us/step - loss: 9.9721e-06 - risk_out_loss: 9.9721e-06 - val_loss: -51.3255 - val_risk_out_loss: -51.3255\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 368us/step - loss: 2.7992e-07 - risk_out_loss: 2.7992e-07 - val_loss: -51.2209 - val_risk_out_loss: -51.2209\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 413us/step - loss: 6.9343e-06 - risk_out_loss: 6.9343e-06 - val_loss: -51.1241 - val_risk_out_loss: -51.1241\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 379us/step - loss: 3.8401e-07 - risk_out_loss: 3.8401e-07 - val_loss: -51.0159 - val_risk_out_loss: -51.0159\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 356us/step - loss: 6.7139e-07 - risk_out_loss: 6.7139e-07 - val_loss: -50.9332 - val_risk_out_loss: -50.9332\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 310us/step - loss: 7.8355e-07 - risk_out_loss: 7.8355e-07 - val_loss: -50.8335 - val_risk_out_loss: -50.8335\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 391us/step - loss: 1.5915e-06 - risk_out_loss: 1.5915e-06 - val_loss: -50.7550 - val_risk_out_loss: -50.7550\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 379us/step - loss: 2.9300e-07 - risk_out_loss: 2.9300e-07 - val_loss: -50.6799 - val_risk_out_loss: -50.6799\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 368us/step - loss: 1.0386e-05 - risk_out_loss: 1.0386e-05 - val_loss: -50.6107 - val_risk_out_loss: -50.6107\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 356us/step - loss: 3.0296e-05 - risk_out_loss: 3.0296e-05 - val_loss: -50.5504 - val_risk_out_loss: -50.5504\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 322us/step - loss: 1.5417e-05 - risk_out_loss: 1.5417e-05 - val_loss: -50.4960 - val_risk_out_loss: -50.4960\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 345us/step - loss: 8.3644e-06 - risk_out_loss: 8.3644e-06 - val_loss: -50.4387 - val_risk_out_loss: -50.4387\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 368us/step - loss: 6.8831e-07 - risk_out_loss: 6.8831e-07 - val_loss: -50.3880 - val_risk_out_loss: -50.3880\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 333us/step - loss: 2.3961e-06 - risk_out_loss: 2.3961e-06 - val_loss: -50.3383 - val_risk_out_loss: -50.3383\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 345us/step - loss: 6.8674e-04 - risk_out_loss: 6.8674e-04 - val_loss: -50.3386 - val_risk_out_loss: -50.3386\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 333us/step - loss: 1.5893e-04 - risk_out_loss: 1.5893e-04 - val_loss: -50.3508 - val_risk_out_loss: -50.3508\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 345us/step - loss: 0.0047 - risk_out_loss: 0.0047 - val_loss: -50.6159 - val_risk_out_loss: -50.6159\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 333us/step - loss: 1.6928e-07 - risk_out_loss: 1.6928e-07 - val_loss: -50.8364 - val_risk_out_loss: -50.8364\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 436us/step - loss: 0.0037 - risk_out_loss: 0.0037 - val_loss: -51.1163 - val_risk_out_loss: -51.1163\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 345us/step - loss: 2.4720e-04 - risk_out_loss: 2.4720e-04 - val_loss: -51.3304 - val_risk_out_loss: -51.3304\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 379us/step - loss: 2.4253e-07 - risk_out_loss: 2.4253e-07 - val_loss: -51.4860 - val_risk_out_loss: -51.4860\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 299us/step - loss: 3.1484e-05 - risk_out_loss: 3.1484e-05 - val_loss: -51.6217 - val_risk_out_loss: -51.6217\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 368us/step - loss: 0.0137 - risk_out_loss: 0.0137 - val_loss: -51.8956 - val_risk_out_loss: -51.8956\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 379us/step - loss: 1.2266e-06 - risk_out_loss: 1.2266e-06 - val_loss: -52.1086 - val_risk_out_loss: -52.1086\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 402us/step - loss: 6.4298e-07 - risk_out_loss: 6.4298e-07 - val_loss: -52.2659 - val_risk_out_loss: -52.2659\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 368us/step - loss: 2.7538e-06 - risk_out_loss: 2.7538e-06 - val_loss: -52.3841 - val_risk_out_loss: -52.3841\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 459us/step - loss: 6.9007e-06 - risk_out_loss: 6.9007e-06 - val_loss: -52.4576 - val_risk_out_loss: -52.4576\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 368us/step - loss: 5.7025e-06 - risk_out_loss: 5.7025e-06 - val_loss: -52.5263 - val_risk_out_loss: -52.5263\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 322us/step - loss: 6.6039e-06 - risk_out_loss: 6.6039e-06 - val_loss: -52.5693 - val_risk_out_loss: -52.5693\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 402us/step - loss: 2.4199e-06 - risk_out_loss: 2.4199e-06 - val_loss: -52.6043 - val_risk_out_loss: -52.6043\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 368us/step - loss: 3.0858e-06 - risk_out_loss: 3.0858e-06 - val_loss: -52.6324 - val_risk_out_loss: -52.6324\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 356us/step - loss: 0.0132 - risk_out_loss: 0.0132 - val_loss: -52.6176 - val_risk_out_loss: -52.6176\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 368us/step - loss: 4.4337e-05 - risk_out_loss: 4.4337e-05 - val_loss: -52.6054 - val_risk_out_loss: -52.6054\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 379us/step - loss: 2.4307e-06 - risk_out_loss: 2.4307e-06 - val_loss: -52.5922 - val_risk_out_loss: -52.5922\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 345us/step - loss: 7.3476e-06 - risk_out_loss: 7.3476e-06 - val_loss: -52.5813 - val_risk_out_loss: -52.5813\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 379us/step - loss: 1.8143e-04 - risk_out_loss: 1.8143e-04 - val_loss: -52.5711 - val_risk_out_loss: -52.5711\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 391us/step - loss: 2.1420e-05 - risk_out_loss: 2.1420e-05 - val_loss: -52.5622 - val_risk_out_loss: -52.5622\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 322us/step - loss: 1.3854e-05 - risk_out_loss: 1.3854e-05 - val_loss: -52.5541 - val_risk_out_loss: -52.5541\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 379us/step - loss: 4.6173e-06 - risk_out_loss: 4.6173e-06 - val_loss: -52.5438 - val_risk_out_loss: -52.5438\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 379us/step - loss: 1.5317e-05 - risk_out_loss: 1.5317e-05 - val_loss: -52.5371 - val_risk_out_loss: -52.5371\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 356us/step - loss: 1.9717e-05 - risk_out_loss: 1.9717e-05 - val_loss: -52.5305 - val_risk_out_loss: -52.5305\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 333us/step - loss: 6.7112e-05 - risk_out_loss: 6.7112e-05 - val_loss: -52.5222 - val_risk_out_loss: -52.5222\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 310us/step - loss: 8.4188e-05 - risk_out_loss: 8.4188e-05 - val_loss: -52.5172 - val_risk_out_loss: -52.5172\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 436us/step - loss: 1.2273e-05 - risk_out_loss: 1.2273e-05 - val_loss: -52.5109 - val_risk_out_loss: -52.5109\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 345us/step - loss: 3.7683e-04 - risk_out_loss: 3.7683e-04 - val_loss: -52.5046 - val_risk_out_loss: -52.5046\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 379us/step - loss: 3.6125e-05 - risk_out_loss: 3.6125e-05 - val_loss: -52.4956 - val_risk_out_loss: -52.4956\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 333us/step - loss: 9.2764e-05 - risk_out_loss: 9.2764e-05 - val_loss: -52.4832 - val_risk_out_loss: -52.4832\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 333us/step - loss: 2.5122e-05 - risk_out_loss: 2.5122e-05 - val_loss: -52.4730 - val_risk_out_loss: -52.4730\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 310us/step - loss: 5.9178e-06 - risk_out_loss: 5.9178e-06 - val_loss: -52.4692 - val_risk_out_loss: -52.4692\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 356us/step - loss: 1.5428e-05 - risk_out_loss: 1.5428e-05 - val_loss: -52.4635 - val_risk_out_loss: -52.4635\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 322us/step - loss: 0.0796 - risk_out_loss: 0.0796 - val_loss: -52.3597 - val_risk_out_loss: -52.3597\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 299us/step - loss: 7.3538e-06 - risk_out_loss: 7.3538e-06 - val_loss: -52.2319 - val_risk_out_loss: -52.2319\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 356us/step - loss: 8.9737e-06 - risk_out_loss: 8.9737e-06 - val_loss: -52.0951 - val_risk_out_loss: -52.0951\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 310us/step - loss: 2.7157e-04 - risk_out_loss: 2.7157e-04 - val_loss: -51.9397 - val_risk_out_loss: -51.9397\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 345us/step - loss: 2.2802e-05 - risk_out_loss: 2.2802e-05 - val_loss: -51.7682 - val_risk_out_loss: -51.7682\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 322us/step - loss: 5.6586e-06 - risk_out_loss: 5.6586e-06 - val_loss: -51.6002 - val_risk_out_loss: -51.6002\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 345us/step - loss: 1.7175e-05 - risk_out_loss: 1.7175e-05 - val_loss: -51.4239 - val_risk_out_loss: -51.4239\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 333us/step - loss: 6.6067e-06 - risk_out_loss: 6.6067e-06 - val_loss: -51.2543 - val_risk_out_loss: -51.2543\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 368us/step - loss: 4.3503e-05 - risk_out_loss: 4.3503e-05 - val_loss: -51.1032 - val_risk_out_loss: -51.1032\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 310us/step - loss: 7.5717e-06 - risk_out_loss: 7.5717e-06 - val_loss: -50.9405 - val_risk_out_loss: -50.9405\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 333us/step - loss: 7.9850e-04 - risk_out_loss: 7.9850e-04 - val_loss: -50.8139 - val_risk_out_loss: -50.8139\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 436us/step - loss: 0.0208 - risk_out_loss: 0.0208 - val_loss: -51.2364 - val_risk_out_loss: -51.2364\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 379us/step - loss: 0.0118 - risk_out_loss: 0.0118 - val_loss: -51.7785 - val_risk_out_loss: -51.7785\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 368us/step - loss: 8.2317e-05 - risk_out_loss: 8.2317e-05 - val_loss: -52.1249 - val_risk_out_loss: -52.1249\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 333us/step - loss: 1.3239e-06 - risk_out_loss: 1.3239e-06 - val_loss: -52.3588 - val_risk_out_loss: -52.3588\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 402us/step - loss: 8.3421e-05 - risk_out_loss: 8.3421e-05 - val_loss: -52.5154 - val_risk_out_loss: -52.5154\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 333us/step - loss: 5.4744e-06 - risk_out_loss: 5.4744e-06 - val_loss: -52.6270 - val_risk_out_loss: -52.6270\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 402us/step - loss: 1.3316e-06 - risk_out_loss: 1.3316e-06 - val_loss: -52.7107 - val_risk_out_loss: -52.7107\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 391us/step - loss: 2.8706e-05 - risk_out_loss: 2.8706e-05 - val_loss: -52.7660 - val_risk_out_loss: -52.7660\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 391us/step - loss: 4.8262e-06 - risk_out_loss: 4.8262e-06 - val_loss: -52.8024 - val_risk_out_loss: -52.8024\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 356us/step - loss: 4.6243e-06 - risk_out_loss: 4.6243e-06 - val_loss: -52.8240 - val_risk_out_loss: -52.8240\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 333us/step - loss: 4.5512e-05 - risk_out_loss: 4.5512e-05 - val_loss: -52.8407 - val_risk_out_loss: -52.8407\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 322us/step - loss: 0.0104 - risk_out_loss: 0.0104 - val_loss: -52.8431 - val_risk_out_loss: -52.8431\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 322us/step - loss: 4.6686e-06 - risk_out_loss: 4.6686e-06 - val_loss: -52.8439 - val_risk_out_loss: -52.8439\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 425us/step - loss: 9.2775e-06 - risk_out_loss: 9.2775e-06 - val_loss: -52.8460 - val_risk_out_loss: -52.8460\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 310us/step - loss: 0.0044 - risk_out_loss: 0.0044 - val_loss: -52.8332 - val_risk_out_loss: -52.8332\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 413us/step - loss: 7.4647e-06 - risk_out_loss: 7.4647e-06 - val_loss: -52.8203 - val_risk_out_loss: -52.8203\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 379us/step - loss: 1.9844e-04 - risk_out_loss: 1.9844e-04 - val_loss: -52.8092 - val_risk_out_loss: -52.8092\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 345us/step - loss: 2.0210e-06 - risk_out_loss: 2.0210e-06 - val_loss: -52.7971 - val_risk_out_loss: -52.7971\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 368us/step - loss: 4.4835e-05 - risk_out_loss: 4.4835e-05 - val_loss: -52.7877 - val_risk_out_loss: -52.7877\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 356us/step - loss: 6.2921e-06 - risk_out_loss: 6.2921e-06 - val_loss: -52.7792 - val_risk_out_loss: -52.7792\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 345us/step - loss: 2.1958e-05 - risk_out_loss: 2.1958e-05 - val_loss: -52.7648 - val_risk_out_loss: -52.7648\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 333us/step - loss: 2.7296e-06 - risk_out_loss: 2.7296e-06 - val_loss: -52.7581 - val_risk_out_loss: -52.7581\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 356us/step - loss: 2.3390e-04 - risk_out_loss: 2.3390e-04 - val_loss: -52.7528 - val_risk_out_loss: -52.7528\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 356us/step - loss: 2.1980e-06 - risk_out_loss: 2.1980e-06 - val_loss: -52.7415 - val_risk_out_loss: -52.7415\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 345us/step - loss: 1.6293e-06 - risk_out_loss: 1.6293e-06 - val_loss: -52.7373 - val_risk_out_loss: -52.7373\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 310us/step - loss: 3.4108e-06 - risk_out_loss: 3.4108e-06 - val_loss: -52.7312 - val_risk_out_loss: -52.7312\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 345us/step - loss: 2.3208e-05 - risk_out_loss: 2.3208e-05 - val_loss: -52.7236 - val_risk_out_loss: -52.7236\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 322us/step - loss: 5.9499e-06 - risk_out_loss: 5.9499e-06 - val_loss: -52.7201 - val_risk_out_loss: -52.7201\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 436us/step - loss: 3.5942e-07 - risk_out_loss: 3.5942e-07 - val_loss: -52.7173 - val_risk_out_loss: -52.7173\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 379us/step - loss: 2.0796e-06 - risk_out_loss: 2.0796e-06 - val_loss: -52.7138 - val_risk_out_loss: -52.7138\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 368us/step - loss: 8.0014e-07 - risk_out_loss: 8.0014e-07 - val_loss: -52.7092 - val_risk_out_loss: -52.7092\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 413us/step - loss: 6.4384e-06 - risk_out_loss: 6.4384e-06 - val_loss: -52.7058 - val_risk_out_loss: -52.7058\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 333us/step - loss: 0.0799 - risk_out_loss: 0.0799 - val_loss: -52.6309 - val_risk_out_loss: -52.6309\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 310us/step - loss: 3.6557e-06 - risk_out_loss: 3.6557e-06 - val_loss: -52.5349 - val_risk_out_loss: -52.5349\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 287us/step - loss: 2.5325e-06 - risk_out_loss: 2.5325e-06 - val_loss: -52.4040 - val_risk_out_loss: -52.4040\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 333us/step - loss: 1.0252e-06 - risk_out_loss: 1.0252e-06 - val_loss: -52.2452 - val_risk_out_loss: -52.2452\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 425us/step - loss: 1.1420e-05 - risk_out_loss: 1.1420e-05 - val_loss: -52.0776 - val_risk_out_loss: -52.0776\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 391us/step - loss: 2.8749e-06 - risk_out_loss: 2.8749e-06 - val_loss: -51.9192 - val_risk_out_loss: -51.9192\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 333us/step - loss: 0.0097 - risk_out_loss: 0.0097 - val_loss: -51.8712 - val_risk_out_loss: -51.8712\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 425us/step - loss: 4.1790e-06 - risk_out_loss: 4.1790e-06 - val_loss: -51.8268 - val_risk_out_loss: -51.8268\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 345us/step - loss: 2.3101e-06 - risk_out_loss: 2.3101e-06 - val_loss: -51.7893 - val_risk_out_loss: -51.7893\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 368us/step - loss: 7.0368e-07 - risk_out_loss: 7.0368e-07 - val_loss: -51.7432 - val_risk_out_loss: -51.7432\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 345us/step - loss: 1.2753e-06 - risk_out_loss: 1.2753e-06 - val_loss: -51.7084 - val_risk_out_loss: -51.7084\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 391us/step - loss: 5.6247e-05 - risk_out_loss: 5.6247e-05 - val_loss: -51.6772 - val_risk_out_loss: -51.6772\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 356us/step - loss: 8.7174e-07 - risk_out_loss: 8.7174e-07 - val_loss: -51.6495 - val_risk_out_loss: -51.6495\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 379us/step - loss: 1.0705e-04 - risk_out_loss: 1.0705e-04 - val_loss: -51.6239 - val_risk_out_loss: -51.6239\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 459us/step - loss: 1.7996e-04 - risk_out_loss: 1.7996e-04 - val_loss: -51.5942 - val_risk_out_loss: -51.5942\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 345us/step - loss: 1.1513e-06 - risk_out_loss: 1.1513e-06 - val_loss: -51.5720 - val_risk_out_loss: -51.5720\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 379us/step - loss: 3.9850e-05 - risk_out_loss: 3.9850e-05 - val_loss: -51.5535 - val_risk_out_loss: -51.5535\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 322us/step - loss: 1.0131e-06 - risk_out_loss: 1.0131e-06 - val_loss: -51.5325 - val_risk_out_loss: -51.5325\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 379us/step - loss: 0.0049 - risk_out_loss: 0.0049 - val_loss: -51.6016 - val_risk_out_loss: -51.6016\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 356us/step - loss: 1.1361e-04 - risk_out_loss: 1.1361e-04 - val_loss: -51.6583 - val_risk_out_loss: -51.6583\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 379us/step - loss: 8.0631e-06 - risk_out_loss: 8.0631e-06 - val_loss: -51.7169 - val_risk_out_loss: -51.7169\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 333us/step - loss: 1.6932e-04 - risk_out_loss: 1.6932e-04 - val_loss: -51.7698 - val_risk_out_loss: -51.7698\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 379us/step - loss: 5.5082e-07 - risk_out_loss: 5.5082e-07 - val_loss: -51.8140 - val_risk_out_loss: -51.8140\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 333us/step - loss: 0.0015 - risk_out_loss: 0.0015 - val_loss: -51.8829 - val_risk_out_loss: -51.8829\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 333us/step - loss: 4.8772e-05 - risk_out_loss: 4.8772e-05 - val_loss: -51.9316 - val_risk_out_loss: -51.9316\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 322us/step - loss: 2.8626e-06 - risk_out_loss: 2.8626e-06 - val_loss: -51.9792 - val_risk_out_loss: -51.9792\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 368us/step - loss: 9.2372e-06 - risk_out_loss: 9.2372e-06 - val_loss: -52.0293 - val_risk_out_loss: -52.0293\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 356us/step - loss: 3.2483e-05 - risk_out_loss: 3.2483e-05 - val_loss: -52.0608 - val_risk_out_loss: -52.0608\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 448us/step - loss: 1.3063e-06 - risk_out_loss: 1.3063e-06 - val_loss: -52.0944 - val_risk_out_loss: -52.0944\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 391us/step - loss: 2.3354e-05 - risk_out_loss: 2.3354e-05 - val_loss: -52.1186 - val_risk_out_loss: -52.1186\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 425us/step - loss: 2.6136e-06 - risk_out_loss: 2.6136e-06 - val_loss: -52.1483 - val_risk_out_loss: -52.1483\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 345us/step - loss: 4.7345e-07 - risk_out_loss: 4.7345e-07 - val_loss: -52.1812 - val_risk_out_loss: -52.1812\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 299us/step - loss: 1.5370e-05 - risk_out_loss: 1.5370e-05 - val_loss: -52.1969 - val_risk_out_loss: -52.1969\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 333us/step - loss: 1.3537e-04 - risk_out_loss: 1.3537e-04 - val_loss: -52.2151 - val_risk_out_loss: -52.2151\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 368us/step - loss: 7.4150e-07 - risk_out_loss: 7.4150e-07 - val_loss: -52.2279 - val_risk_out_loss: -52.2279\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 356us/step - loss: 1.1972e-06 - risk_out_loss: 1.1972e-06 - val_loss: -52.2411 - val_risk_out_loss: -52.2411\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 402us/step - loss: 2.9333e-07 - risk_out_loss: 2.9333e-07 - val_loss: -52.2642 - val_risk_out_loss: -52.2642\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 345us/step - loss: 0.0064 - risk_out_loss: 0.0064 - val_loss: -52.2238 - val_risk_out_loss: -52.2238\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 368us/step - loss: 3.6779e-07 - risk_out_loss: 3.6779e-07 - val_loss: -52.1931 - val_risk_out_loss: -52.1931\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 368us/step - loss: 3.4376e-07 - risk_out_loss: 3.4376e-07 - val_loss: -52.1625 - val_risk_out_loss: -52.1625\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 333us/step - loss: 1.1525e-05 - risk_out_loss: 1.1525e-05 - val_loss: -52.1361 - val_risk_out_loss: -52.1361\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 379us/step - loss: 4.1832e-07 - risk_out_loss: 4.1832e-07 - val_loss: -52.1126 - val_risk_out_loss: -52.1126\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 368us/step - loss: 7.4696e-07 - risk_out_loss: 7.4696e-07 - val_loss: -52.0921 - val_risk_out_loss: -52.0921\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 368us/step - loss: 5.1988e-04 - risk_out_loss: 5.1988e-04 - val_loss: -52.0614 - val_risk_out_loss: -52.0614\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 299us/step - loss: 3.8876e-05 - risk_out_loss: 3.8876e-05 - val_loss: -52.0307 - val_risk_out_loss: -52.0307\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 287us/step - loss: 9.1459e-07 - risk_out_loss: 9.1459e-07 - val_loss: -52.0057 - val_risk_out_loss: -52.0057\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 310us/step - loss: 1.4480e-06 - risk_out_loss: 1.4480e-06 - val_loss: -51.9848 - val_risk_out_loss: -51.9848\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 287us/step - loss: 3.5466e-07 - risk_out_loss: 3.5466e-07 - val_loss: -51.9688 - val_risk_out_loss: -51.9688\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 345us/step - loss: 2.5769e-07 - risk_out_loss: 2.5769e-07 - val_loss: -51.9497 - val_risk_out_loss: -51.9497\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 287us/step - loss: 0.0158 - risk_out_loss: 0.0158 - val_loss: -51.8078 - val_risk_out_loss: -51.8078\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 322us/step - loss: 1.3047e-06 - risk_out_loss: 1.3047e-06 - val_loss: -51.6741 - val_risk_out_loss: -51.6741\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 310us/step - loss: 4.8818e-07 - risk_out_loss: 4.8818e-07 - val_loss: -51.5333 - val_risk_out_loss: -51.5333\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 299us/step - loss: 6.0118e-07 - risk_out_loss: 6.0118e-07 - val_loss: -51.3985 - val_risk_out_loss: -51.3985\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 322us/step - loss: 1.3975e-06 - risk_out_loss: 1.3975e-06 - val_loss: -51.2568 - val_risk_out_loss: -51.2568\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 322us/step - loss: 1.4921e-04 - risk_out_loss: 1.4921e-04 - val_loss: -51.1122 - val_risk_out_loss: -51.1122\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 310us/step - loss: 1.6798e-05 - risk_out_loss: 1.6798e-05 - val_loss: -50.9859 - val_risk_out_loss: -50.9859\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 345us/step - loss: 1.0920e-06 - risk_out_loss: 1.0920e-06 - val_loss: -50.8564 - val_risk_out_loss: -50.8564\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 322us/step - loss: 1.3425e-04 - risk_out_loss: 1.3425e-04 - val_loss: -50.7241 - val_risk_out_loss: -50.7241\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 264us/step - loss: 2.5330e-07 - risk_out_loss: 2.5330e-07 - val_loss: -50.6028 - val_risk_out_loss: -50.6028\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 379us/step - loss: 9.6961e-07 - risk_out_loss: 9.6961e-07 - val_loss: -50.4845 - val_risk_out_loss: -50.4845\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 299us/step - loss: 1.6941e-05 - risk_out_loss: 1.6941e-05 - val_loss: -50.3745 - val_risk_out_loss: -50.3745\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 356us/step - loss: 4.5043e-07 - risk_out_loss: 4.5043e-07 - val_loss: -50.2668 - val_risk_out_loss: -50.2668\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 310us/step - loss: 7.9777e-04 - risk_out_loss: 7.9777e-04 - val_loss: -50.2431 - val_risk_out_loss: -50.2431\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 299us/step - loss: 4.0732e-06 - risk_out_loss: 4.0732e-06 - val_loss: -50.2262 - val_risk_out_loss: -50.2262\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 356us/step - loss: 0.0027 - risk_out_loss: 0.0027 - val_loss: -50.3065 - val_risk_out_loss: -50.3065\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 333us/step - loss: 1.9369e-04 - risk_out_loss: 1.9369e-04 - val_loss: -50.3803 - val_risk_out_loss: -50.3803\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 391us/step - loss: 1.3825e-05 - risk_out_loss: 1.3825e-05 - val_loss: -50.4577 - val_risk_out_loss: -50.4577\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 356us/step - loss: 3.4214e-07 - risk_out_loss: 3.4214e-07 - val_loss: -50.5250 - val_risk_out_loss: -50.5250\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 322us/step - loss: 1.6835e-07 - risk_out_loss: 1.6835e-07 - val_loss: -50.5771 - val_risk_out_loss: -50.5771\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 413us/step - loss: 4.6048e-06 - risk_out_loss: 4.6048e-06 - val_loss: -50.6199 - val_risk_out_loss: -50.6199\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 368us/step - loss: 6.2227e-06 - risk_out_loss: 6.2227e-06 - val_loss: -50.6624 - val_risk_out_loss: -50.6624\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 368us/step - loss: 9.6488e-04 - risk_out_loss: 9.6488e-04 - val_loss: -50.7542 - val_risk_out_loss: -50.7542\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 391us/step - loss: 1.5322e-04 - risk_out_loss: 1.5322e-04 - val_loss: -50.8337 - val_risk_out_loss: -50.8337\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 356us/step - loss: 2.2456e-05 - risk_out_loss: 2.2456e-05 - val_loss: -50.9181 - val_risk_out_loss: -50.9181\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 322us/step - loss: 1.7225e-06 - risk_out_loss: 1.7225e-06 - val_loss: -50.9788 - val_risk_out_loss: -50.9788\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 276us/step - loss: 2.7098e-05 - risk_out_loss: 2.7098e-05 - val_loss: -51.0350 - val_risk_out_loss: -51.0350\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 299us/step - loss: 3.9420e-04 - risk_out_loss: 3.9420e-04 - val_loss: -51.1044 - val_risk_out_loss: -51.1044\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 310us/step - loss: 5.2675e-07 - risk_out_loss: 5.2675e-07 - val_loss: -51.1639 - val_risk_out_loss: -51.1639\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 333us/step - loss: 1.9191e-07 - risk_out_loss: 1.9191e-07 - val_loss: -51.2134 - val_risk_out_loss: -51.2134\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 333us/step - loss: 3.6463e-07 - risk_out_loss: 3.6463e-07 - val_loss: -51.2520 - val_risk_out_loss: -51.2520\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 333us/step - loss: 1.0194e-05 - risk_out_loss: 1.0194e-05 - val_loss: -51.2872 - val_risk_out_loss: -51.2872\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 356us/step - loss: 1.6637e-05 - risk_out_loss: 1.6637e-05 - val_loss: -51.3272 - val_risk_out_loss: -51.3272\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 310us/step - loss: 1.2645e-07 - risk_out_loss: 1.2645e-07 - val_loss: -51.3607 - val_risk_out_loss: -51.3607\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 345us/step - loss: 2.9944e-07 - risk_out_loss: 2.9944e-07 - val_loss: -51.3896 - val_risk_out_loss: -51.3896\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 379us/step - loss: 1.3308e-05 - risk_out_loss: 1.3308e-05 - val_loss: -51.4144 - val_risk_out_loss: -51.4144\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 413us/step - loss: 1.8054e-07 - risk_out_loss: 1.8054e-07 - val_loss: -51.4355 - val_risk_out_loss: -51.4355\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 310us/step - loss: 0.0182 - risk_out_loss: 0.0182 - val_loss: -51.7004 - val_risk_out_loss: -51.7004\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 299us/step - loss: 1.6729e-05 - risk_out_loss: 1.6729e-05 - val_loss: -51.9130 - val_risk_out_loss: -51.9130\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 287us/step - loss: 5.0408e-04 - risk_out_loss: 5.0408e-04 - val_loss: -52.0735 - val_risk_out_loss: -52.0735\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 310us/step - loss: 6.1442e-05 - risk_out_loss: 6.1442e-05 - val_loss: -52.1980 - val_risk_out_loss: -52.1980\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 253us/step - loss: 1.1363e-06 - risk_out_loss: 1.1363e-06 - val_loss: -52.3097 - val_risk_out_loss: -52.3097\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 253us/step - loss: 2.1785e-04 - risk_out_loss: 2.1785e-04 - val_loss: -52.3930 - val_risk_out_loss: -52.3930\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 287us/step - loss: 0.0241 - risk_out_loss: 0.0241 - val_loss: -52.6077 - val_risk_out_loss: -52.6077\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 345us/step - loss: 1.0038e-06 - risk_out_loss: 1.0038e-06 - val_loss: -52.7345 - val_risk_out_loss: -52.7345\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 322us/step - loss: 6.3660e-07 - risk_out_loss: 6.3660e-07 - val_loss: -52.8023 - val_risk_out_loss: -52.8023\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 345us/step - loss: 2.2471e-06 - risk_out_loss: 2.2471e-06 - val_loss: -52.8465 - val_risk_out_loss: -52.8465\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 310us/step - loss: 1.0810e-05 - risk_out_loss: 1.0810e-05 - val_loss: -52.8761 - val_risk_out_loss: -52.8761\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 345us/step - loss: 2.3257e-06 - risk_out_loss: 2.3257e-06 - val_loss: -52.9065 - val_risk_out_loss: -52.9065\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 413us/step - loss: 8.6168e-06 - risk_out_loss: 8.6168e-06 - val_loss: -52.9217 - val_risk_out_loss: -52.9217\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 299us/step - loss: 7.5548e-06 - risk_out_loss: 7.5548e-06 - val_loss: -52.9348 - val_risk_out_loss: -52.9348\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 287us/step - loss: 0.0277 - risk_out_loss: 0.0277 - val_loss: -52.9361 - val_risk_out_loss: -52.9361\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 310us/step - loss: 5.1456e-05 - risk_out_loss: 5.1456e-05 - val_loss: -52.9358 - val_risk_out_loss: -52.9358\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 276us/step - loss: 0.0015 - risk_out_loss: 0.0015 - val_loss: -52.9350 - val_risk_out_loss: -52.9350\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 322us/step - loss: 2.3604e-04 - risk_out_loss: 2.3604e-04 - val_loss: -52.9308 - val_risk_out_loss: -52.9308\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 333us/step - loss: 2.4181e-05 - risk_out_loss: 2.4181e-05 - val_loss: -52.9242 - val_risk_out_loss: -52.9242\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 310us/step - loss: 3.7552e-04 - risk_out_loss: 3.7552e-04 - val_loss: -52.9167 - val_risk_out_loss: -52.9167\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 333us/step - loss: 0.0040 - risk_out_loss: 0.0040 - val_loss: -52.9053 - val_risk_out_loss: -52.9053\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 333us/step - loss: 7.9450e-06 - risk_out_loss: 7.9450e-06 - val_loss: -52.8958 - val_risk_out_loss: -52.8958\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 299us/step - loss: 1.4035e-05 - risk_out_loss: 1.4035e-05 - val_loss: -52.8879 - val_risk_out_loss: -52.8879\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 333us/step - loss: 7.0965e-06 - risk_out_loss: 7.0965e-06 - val_loss: -52.8766 - val_risk_out_loss: -52.8766\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 322us/step - loss: 1.0901e-04 - risk_out_loss: 1.0901e-04 - val_loss: -52.8700 - val_risk_out_loss: -52.8700\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 310us/step - loss: 0.0362 - risk_out_loss: 0.0362 - val_loss: -52.8088 - val_risk_out_loss: -52.8088\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 276us/step - loss: 6.2271e-05 - risk_out_loss: 6.2271e-05 - val_loss: -52.7254 - val_risk_out_loss: -52.7254\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 287us/step - loss: 7.9090e-05 - risk_out_loss: 7.9090e-05 - val_loss: -52.6285 - val_risk_out_loss: -52.6285\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 333us/step - loss: 3.2227e-06 - risk_out_loss: 3.2227e-06 - val_loss: -52.5007 - val_risk_out_loss: -52.5007\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 333us/step - loss: 1.3583e-04 - risk_out_loss: 1.3583e-04 - val_loss: -52.3517 - val_risk_out_loss: -52.3517\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 322us/step - loss: 3.7025e-06 - risk_out_loss: 3.7025e-06 - val_loss: -52.2014 - val_risk_out_loss: -52.2014\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 287us/step - loss: 1.8254e-05 - risk_out_loss: 1.8254e-05 - val_loss: -52.0279 - val_risk_out_loss: -52.0279\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 333us/step - loss: 1.0626e-04 - risk_out_loss: 1.0626e-04 - val_loss: -51.8392 - val_risk_out_loss: -51.8392\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 322us/step - loss: 1.6276e-04 - risk_out_loss: 1.6276e-04 - val_loss: -51.6401 - val_risk_out_loss: -51.6401\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 310us/step - loss: 2.6780e-06 - risk_out_loss: 2.6780e-06 - val_loss: -51.4518 - val_risk_out_loss: -51.4518\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 310us/step - loss: 1.0855e-05 - risk_out_loss: 1.0855e-05 - val_loss: -51.2570 - val_risk_out_loss: -51.2570\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 299us/step - loss: 2.0371e-05 - risk_out_loss: 2.0371e-05 - val_loss: -51.0761 - val_risk_out_loss: -51.0761\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 299us/step - loss: 2.5957e-06 - risk_out_loss: 2.5957e-06 - val_loss: -50.8610 - val_risk_out_loss: -50.8610\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 333us/step - loss: 8.1609e-07 - risk_out_loss: 8.1609e-07 - val_loss: -50.6567 - val_risk_out_loss: -50.6567\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 276us/step - loss: 2.5284e-06 - risk_out_loss: 2.5284e-06 - val_loss: -50.4648 - val_risk_out_loss: -50.4648\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 310us/step - loss: 0.0029 - risk_out_loss: 0.0029 - val_loss: -50.4331 - val_risk_out_loss: -50.4331\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 310us/step - loss: 6.2929e-06 - risk_out_loss: 6.2929e-06 - val_loss: -50.3833 - val_risk_out_loss: -50.3833\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 287us/step - loss: 1.5615e-05 - risk_out_loss: 1.5615e-05 - val_loss: -50.3367 - val_risk_out_loss: -50.3367\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 310us/step - loss: 5.8340e-06 - risk_out_loss: 5.8340e-06 - val_loss: -50.2964 - val_risk_out_loss: -50.2964\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 333us/step - loss: 1.6191e-06 - risk_out_loss: 1.6191e-06 - val_loss: -50.2556 - val_risk_out_loss: -50.2556\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 287us/step - loss: 1.0586e-05 - risk_out_loss: 1.0586e-05 - val_loss: -50.2176 - val_risk_out_loss: -50.2176\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 345us/step - loss: 0.0278 - risk_out_loss: 0.0278 - val_loss: -51.0786 - val_risk_out_loss: -51.0786\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 299us/step - loss: 1.3576e-05 - risk_out_loss: 1.3576e-05 - val_loss: -51.5852 - val_risk_out_loss: -51.5852\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 310us/step - loss: 1.2293e-06 - risk_out_loss: 1.2293e-06 - val_loss: -51.9265 - val_risk_out_loss: -51.9265\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 379us/step - loss: 0.0073 - risk_out_loss: 0.0073 - val_loss: -52.0702 - val_risk_out_loss: -52.0702\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 322us/step - loss: 5.8876e-06 - risk_out_loss: 5.8876e-06 - val_loss: -52.1702 - val_risk_out_loss: -52.1702\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 299us/step - loss: 1.9155e-06 - risk_out_loss: 1.9155e-06 - val_loss: -52.2450 - val_risk_out_loss: -52.2450\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 333us/step - loss: 1.6205e-06 - risk_out_loss: 1.6205e-06 - val_loss: -52.2945 - val_risk_out_loss: -52.2945\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 322us/step - loss: 9.0038e-07 - risk_out_loss: 9.0038e-07 - val_loss: -52.3170 - val_risk_out_loss: -52.3170\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 287us/step - loss: 4.9858e-06 - risk_out_loss: 4.9858e-06 - val_loss: -52.3462 - val_risk_out_loss: -52.3462\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 310us/step - loss: 1.0475e-07 - risk_out_loss: 1.0475e-07 - val_loss: -52.3574 - val_risk_out_loss: -52.3574\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 299us/step - loss: 3.4655e-05 - risk_out_loss: 3.4655e-05 - val_loss: -52.3616 - val_risk_out_loss: -52.3616\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 322us/step - loss: 2.3188e-05 - risk_out_loss: 2.3188e-05 - val_loss: -52.3715 - val_risk_out_loss: -52.3715\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 345us/step - loss: 8.9930e-05 - risk_out_loss: 8.9930e-05 - val_loss: -52.3741 - val_risk_out_loss: -52.3741\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 299us/step - loss: 2.6371e-07 - risk_out_loss: 2.6371e-07 - val_loss: -52.3754 - val_risk_out_loss: -52.3754\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 333us/step - loss: 2.1434e-06 - risk_out_loss: 2.1434e-06 - val_loss: -52.3724 - val_risk_out_loss: -52.3724\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 264us/step - loss: 1.5967e-05 - risk_out_loss: 1.5967e-05 - val_loss: -52.3688 - val_risk_out_loss: -52.3688\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 299us/step - loss: 8.1773e-06 - risk_out_loss: 8.1773e-06 - val_loss: -52.3714 - val_risk_out_loss: -52.3714\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 391us/step - loss: 7.9446e-07 - risk_out_loss: 7.9446e-07 - val_loss: -52.3714 - val_risk_out_loss: -52.3714\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 264us/step - loss: 2.2786e-06 - risk_out_loss: 2.2786e-06 - val_loss: -52.3696 - val_risk_out_loss: -52.3696\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 310us/step - loss: 9.2333e-06 - risk_out_loss: 9.2333e-06 - val_loss: -52.3659 - val_risk_out_loss: -52.3659\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 322us/step - loss: 1.6637e-06 - risk_out_loss: 1.6637e-06 - val_loss: -52.3647 - val_risk_out_loss: -52.3647\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 333us/step - loss: 9.7637e-07 - risk_out_loss: 9.7637e-07 - val_loss: -52.3678 - val_risk_out_loss: -52.3678\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 310us/step - loss: 0.0063 - risk_out_loss: 0.0063 - val_loss: -52.3195 - val_risk_out_loss: -52.3195\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 264us/step - loss: 4.4372e-06 - risk_out_loss: 4.4372e-06 - val_loss: -52.2847 - val_risk_out_loss: -52.2847\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 333us/step - loss: 0.0394 - risk_out_loss: 0.0394 - val_loss: -52.3427 - val_risk_out_loss: -52.3427\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 276us/step - loss: 3.5674e-06 - risk_out_loss: 3.5674e-06 - val_loss: -52.4035 - val_risk_out_loss: -52.4035\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 345us/step - loss: 3.5848e-06 - risk_out_loss: 3.5848e-06 - val_loss: -52.4453 - val_risk_out_loss: -52.4453\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 345us/step - loss: 7.7480e-07 - risk_out_loss: 7.7480e-07 - val_loss: -52.4869 - val_risk_out_loss: -52.4869\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 333us/step - loss: 2.1684e-04 - risk_out_loss: 2.1684e-04 - val_loss: -52.5228 - val_risk_out_loss: -52.5228\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 299us/step - loss: 2.8908e-04 - risk_out_loss: 2.8908e-04 - val_loss: -52.5539 - val_risk_out_loss: -52.5539\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 322us/step - loss: 5.2938e-07 - risk_out_loss: 5.2938e-07 - val_loss: -52.5806 - val_risk_out_loss: -52.5806\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 287us/step - loss: 2.5530e-06 - risk_out_loss: 2.5530e-06 - val_loss: -52.6013 - val_risk_out_loss: -52.6013\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 287us/step - loss: 2.0291e-05 - risk_out_loss: 2.0291e-05 - val_loss: -52.6173 - val_risk_out_loss: -52.6173\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 368us/step - loss: 9.0639e-07 - risk_out_loss: 9.0639e-07 - val_loss: -52.6277 - val_risk_out_loss: -52.6277\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 310us/step - loss: 1.0026e-06 - risk_out_loss: 1.0026e-06 - val_loss: -52.6380 - val_risk_out_loss: -52.6380\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 299us/step - loss: 2.9163e-06 - risk_out_loss: 2.9163e-06 - val_loss: -52.6551 - val_risk_out_loss: -52.6551\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 333us/step - loss: 5.4531e-06 - risk_out_loss: 5.4531e-06 - val_loss: -52.6599 - val_risk_out_loss: -52.6599\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 287us/step - loss: 0.0011 - risk_out_loss: 0.0011 - val_loss: -52.6633 - val_risk_out_loss: -52.6633\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 299us/step - loss: 1.7344e-07 - risk_out_loss: 1.7344e-07 - val_loss: -52.6707 - val_risk_out_loss: -52.6707\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 368us/step - loss: 4.6450e-07 - risk_out_loss: 4.6450e-07 - val_loss: -52.6744 - val_risk_out_loss: -52.6744\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 333us/step - loss: 8.7122e-07 - risk_out_loss: 8.7122e-07 - val_loss: -52.6769 - val_risk_out_loss: -52.6769\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 287us/step - loss: 1.8841e-04 - risk_out_loss: 1.8841e-04 - val_loss: -52.6784 - val_risk_out_loss: -52.6784\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 322us/step - loss: 1.7926e-06 - risk_out_loss: 1.7926e-06 - val_loss: -52.6792 - val_risk_out_loss: -52.6792\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 299us/step - loss: 5.7328e-06 - risk_out_loss: 5.7328e-06 - val_loss: -52.6792 - val_risk_out_loss: -52.6792\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 322us/step - loss: 2.2705e-06 - risk_out_loss: 2.2705e-06 - val_loss: -52.6798 - val_risk_out_loss: -52.6798\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 299us/step - loss: 5.0480e-07 - risk_out_loss: 5.0480e-07 - val_loss: -52.6806 - val_risk_out_loss: -52.6806\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 264us/step - loss: 3.0250e-06 - risk_out_loss: 3.0250e-06 - val_loss: -52.6810 - val_risk_out_loss: -52.6810\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 333us/step - loss: 3.7218e-06 - risk_out_loss: 3.7218e-06 - val_loss: -52.6818 - val_risk_out_loss: -52.6818\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 322us/step - loss: 3.5295e-04 - risk_out_loss: 3.5295e-04 - val_loss: -52.6845 - val_risk_out_loss: -52.6845\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 333us/step - loss: 4.9010e-06 - risk_out_loss: 4.9010e-06 - val_loss: -52.6843 - val_risk_out_loss: -52.6843\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 310us/step - loss: 3.0223e-06 - risk_out_loss: 3.0223e-06 - val_loss: -52.6842 - val_risk_out_loss: -52.6842\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 356us/step - loss: 3.1432e-06 - risk_out_loss: 3.1432e-06 - val_loss: -52.6839 - val_risk_out_loss: -52.6839\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 333us/step - loss: 0.0036 - risk_out_loss: 0.0036 - val_loss: -52.6745 - val_risk_out_loss: -52.6745\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 310us/step - loss: 2.1844e-06 - risk_out_loss: 2.1844e-06 - val_loss: -52.6691 - val_risk_out_loss: -52.6691\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 391us/step - loss: 1.8359e-06 - risk_out_loss: 1.8359e-06 - val_loss: -52.6629 - val_risk_out_loss: -52.6629\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 322us/step - loss: 0.0060 - risk_out_loss: 0.0060 - val_loss: -52.6390 - val_risk_out_loss: -52.6390\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 356us/step - loss: 6.7571e-06 - risk_out_loss: 6.7571e-06 - val_loss: -52.6071 - val_risk_out_loss: -52.6071\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 333us/step - loss: 0.0182 - risk_out_loss: 0.0182 - val_loss: -52.5117 - val_risk_out_loss: -52.5117\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 276us/step - loss: 3.4055e-06 - risk_out_loss: 3.4055e-06 - val_loss: -52.4139 - val_risk_out_loss: -52.4139\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 299us/step - loss: 0.0269 - risk_out_loss: 0.0269 - val_loss: -52.1862 - val_risk_out_loss: -52.1862\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 276us/step - loss: 6.4043e-07 - risk_out_loss: 6.4043e-07 - val_loss: -51.9301 - val_risk_out_loss: -51.9301\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 322us/step - loss: 1.0345e-06 - risk_out_loss: 1.0345e-06 - val_loss: -51.6216 - val_risk_out_loss: -51.6216\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 299us/step - loss: 2.4630e-05 - risk_out_loss: 2.4630e-05 - val_loss: -51.2422 - val_risk_out_loss: -51.2422\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 276us/step - loss: 5.3217e-07 - risk_out_loss: 5.3217e-07 - val_loss: -50.8234 - val_risk_out_loss: -50.8234\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 299us/step - loss: 1.2850e-05 - risk_out_loss: 1.2850e-05 - val_loss: -50.3659 - val_risk_out_loss: -50.3659\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 310us/step - loss: 2.4372e-06 - risk_out_loss: 2.4372e-06 - val_loss: -49.8518 - val_risk_out_loss: -49.8518\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 310us/step - loss: 3.9056e-07 - risk_out_loss: 3.9056e-07 - val_loss: -49.2939 - val_risk_out_loss: -49.2939\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 310us/step - loss: 1.6861e-07 - risk_out_loss: 1.6861e-07 - val_loss: -48.7023 - val_risk_out_loss: -48.7023\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 310us/step - loss: 2.2990e-06 - risk_out_loss: 2.2990e-06 - val_loss: -48.1315 - val_risk_out_loss: -48.1315\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 368us/step - loss: 1.6296e-04 - risk_out_loss: 1.6296e-04 - val_loss: -47.5689 - val_risk_out_loss: -47.5689\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 299us/step - loss: 6.7675e-07 - risk_out_loss: 6.7675e-07 - val_loss: -47.0300 - val_risk_out_loss: -47.0300\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 333us/step - loss: 0.0630 - risk_out_loss: 0.0630 - val_loss: -47.6136 - val_risk_out_loss: -47.6136\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 299us/step - loss: 5.4934e-07 - risk_out_loss: 5.4934e-07 - val_loss: -48.0152 - val_risk_out_loss: -48.0152\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 310us/step - loss: 2.5146e-05 - risk_out_loss: 2.5146e-05 - val_loss: -48.3222 - val_risk_out_loss: -48.3222\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 425us/step - loss: 1.2550e-06 - risk_out_loss: 1.2550e-06 - val_loss: -48.5610 - val_risk_out_loss: -48.5610\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 322us/step - loss: 2.2383e-06 - risk_out_loss: 2.2383e-06 - val_loss: -48.7497 - val_risk_out_loss: -48.7497\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 299us/step - loss: 0.0464 - risk_out_loss: 0.0464 - val_loss: -49.9086 - val_risk_out_loss: -49.9086\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 356us/step - loss: 2.6106e-06 - risk_out_loss: 2.6106e-06 - val_loss: -50.7307 - val_risk_out_loss: -50.7307\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 287us/step - loss: 3.2630e-04 - risk_out_loss: 3.2630e-04 - val_loss: -51.2925 - val_risk_out_loss: -51.2925\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 241us/step - loss: 3.9925e-05 - risk_out_loss: 3.9925e-05 - val_loss: -51.6750 - val_risk_out_loss: -51.6750\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 299us/step - loss: 5.8964e-07 - risk_out_loss: 5.8964e-07 - val_loss: -51.9391 - val_risk_out_loss: -51.9391\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 287us/step - loss: 6.5312e-07 - risk_out_loss: 6.5312e-07 - val_loss: -52.1255 - val_risk_out_loss: -52.1255\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 310us/step - loss: 5.1532e-06 - risk_out_loss: 5.1532e-06 - val_loss: -52.2737 - val_risk_out_loss: -52.2737\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 368us/step - loss: 2.4490e-06 - risk_out_loss: 2.4490e-06 - val_loss: -52.3688 - val_risk_out_loss: -52.3688\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 333us/step - loss: 6.3922e-07 - risk_out_loss: 6.3922e-07 - val_loss: -52.4631 - val_risk_out_loss: -52.4631\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 333us/step - loss: 0.0607 - risk_out_loss: 0.0607 - val_loss: -52.4252 - val_risk_out_loss: -52.4252\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 345us/step - loss: 3.1535e-06 - risk_out_loss: 3.1535e-06 - val_loss: -52.3691 - val_risk_out_loss: -52.3691\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 299us/step - loss: 1.8456e-06 - risk_out_loss: 1.8456e-06 - val_loss: -52.3274 - val_risk_out_loss: -52.3274\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 264us/step - loss: 1.1623e-05 - risk_out_loss: 1.1623e-05 - val_loss: -52.2779 - val_risk_out_loss: -52.2779\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 299us/step - loss: 1.4012e-06 - risk_out_loss: 1.4012e-06 - val_loss: -52.2377 - val_risk_out_loss: -52.2377\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 287us/step - loss: 2.0634e-05 - risk_out_loss: 2.0634e-05 - val_loss: -52.1918 - val_risk_out_loss: -52.1918\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 310us/step - loss: 3.4264e-07 - risk_out_loss: 3.4264e-07 - val_loss: -52.1450 - val_risk_out_loss: -52.1450\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 356us/step - loss: 2.7729e-04 - risk_out_loss: 2.7729e-04 - val_loss: -52.1038 - val_risk_out_loss: -52.1038\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 345us/step - loss: 8.6520e-06 - risk_out_loss: 8.6520e-06 - val_loss: -52.0633 - val_risk_out_loss: -52.0633\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 345us/step - loss: 0.0025 - risk_out_loss: 0.0025 - val_loss: -51.9916 - val_risk_out_loss: -51.9916\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 299us/step - loss: 4.8987e-05 - risk_out_loss: 4.8987e-05 - val_loss: -51.9420 - val_risk_out_loss: -51.9420\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 287us/step - loss: 5.2901e-05 - risk_out_loss: 5.2901e-05 - val_loss: -51.8905 - val_risk_out_loss: -51.8905\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 264us/step - loss: 5.4961e-04 - risk_out_loss: 5.4961e-04 - val_loss: -51.8577 - val_risk_out_loss: -51.8577\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 322us/step - loss: 1.2587e-06 - risk_out_loss: 1.2587e-06 - val_loss: -51.8239 - val_risk_out_loss: -51.8239\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 299us/step - loss: 6.6969e-06 - risk_out_loss: 6.6969e-06 - val_loss: -51.7993 - val_risk_out_loss: -51.7993\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 333us/step - loss: 1.6912e-06 - risk_out_loss: 1.6912e-06 - val_loss: -51.7740 - val_risk_out_loss: -51.7740\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 276us/step - loss: 4.2929e-04 - risk_out_loss: 4.2929e-04 - val_loss: -51.7518 - val_risk_out_loss: -51.7518\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 299us/step - loss: 2.1215e-04 - risk_out_loss: 2.1215e-04 - val_loss: -51.7408 - val_risk_out_loss: -51.7408\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 368us/step - loss: 9.3682e-05 - risk_out_loss: 9.3682e-05 - val_loss: -51.7333 - val_risk_out_loss: -51.7333\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 287us/step - loss: 3.9606e-06 - risk_out_loss: 3.9606e-06 - val_loss: -51.7225 - val_risk_out_loss: -51.7225\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 310us/step - loss: 3.0754e-06 - risk_out_loss: 3.0754e-06 - val_loss: -51.7157 - val_risk_out_loss: -51.7157\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 310us/step - loss: 1.5156e-06 - risk_out_loss: 1.5156e-06 - val_loss: -51.7029 - val_risk_out_loss: -51.7029\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 287us/step - loss: 4.4944e-07 - risk_out_loss: 4.4944e-07 - val_loss: -51.6960 - val_risk_out_loss: -51.6960\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 299us/step - loss: 0.0071 - risk_out_loss: 0.0071 - val_loss: -51.6410 - val_risk_out_loss: -51.6410\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 299us/step - loss: 4.5425e-06 - risk_out_loss: 4.5425e-06 - val_loss: -51.5801 - val_risk_out_loss: -51.5801\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 310us/step - loss: 9.2897e-05 - risk_out_loss: 9.2897e-05 - val_loss: -51.5255 - val_risk_out_loss: -51.5255\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 333us/step - loss: 4.8351e-06 - risk_out_loss: 4.8351e-06 - val_loss: -51.4709 - val_risk_out_loss: -51.4709\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 310us/step - loss: 6.4854e-06 - risk_out_loss: 6.4854e-06 - val_loss: -51.4248 - val_risk_out_loss: -51.4248\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 379us/step - loss: 4.0044e-07 - risk_out_loss: 4.0044e-07 - val_loss: -51.3751 - val_risk_out_loss: -51.3751\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 345us/step - loss: 3.1310e-06 - risk_out_loss: 3.1310e-06 - val_loss: -51.3305 - val_risk_out_loss: -51.3305\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 264us/step - loss: 4.9020e-07 - risk_out_loss: 4.9020e-07 - val_loss: -51.2957 - val_risk_out_loss: -51.2957\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 310us/step - loss: 1.0642e-05 - risk_out_loss: 1.0642e-05 - val_loss: -51.2568 - val_risk_out_loss: -51.2568\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 310us/step - loss: 0.0664 - risk_out_loss: 0.0664 - val_loss: -51.6054 - val_risk_out_loss: -51.6054\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 333us/step - loss: 9.7531e-05 - risk_out_loss: 9.7531e-05 - val_loss: -51.8786 - val_risk_out_loss: -51.8786\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 310us/step - loss: 0.0099 - risk_out_loss: 0.0099 - val_loss: -52.0407 - val_risk_out_loss: -52.0407\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 356us/step - loss: 1.3331e-06 - risk_out_loss: 1.3331e-06 - val_loss: -52.1704 - val_risk_out_loss: -52.1704\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 299us/step - loss: 9.0399e-05 - risk_out_loss: 9.0399e-05 - val_loss: -52.2584 - val_risk_out_loss: -52.2584\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 356us/step - loss: 1.2554e-05 - risk_out_loss: 1.2554e-05 - val_loss: -52.3360 - val_risk_out_loss: -52.3360\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 264us/step - loss: 2.5690e-04 - risk_out_loss: 2.5690e-04 - val_loss: -52.4039 - val_risk_out_loss: -52.4039\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 287us/step - loss: 2.1452e-05 - risk_out_loss: 2.1452e-05 - val_loss: -52.4531 - val_risk_out_loss: -52.4531\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 310us/step - loss: 1.4788e-04 - risk_out_loss: 1.4788e-04 - val_loss: -52.4901 - val_risk_out_loss: -52.4901\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 333us/step - loss: 5.3758e-05 - risk_out_loss: 5.3758e-05 - val_loss: -52.5180 - val_risk_out_loss: -52.5180\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 310us/step - loss: 0.0159 - risk_out_loss: 0.0159 - val_loss: -52.5171 - val_risk_out_loss: -52.5171\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 299us/step - loss: 1.3465e-04 - risk_out_loss: 1.3465e-04 - val_loss: -52.5163 - val_risk_out_loss: -52.5163\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 299us/step - loss: 1.0681e-04 - risk_out_loss: 1.0681e-04 - val_loss: -52.5251 - val_risk_out_loss: -52.5251\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 322us/step - loss: 1.6627e-04 - risk_out_loss: 1.6627e-04 - val_loss: -52.5218 - val_risk_out_loss: -52.5218\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 322us/step - loss: 8.5988e-05 - risk_out_loss: 8.5988e-05 - val_loss: -52.5195 - val_risk_out_loss: -52.5195\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 287us/step - loss: 3.6990e-04 - risk_out_loss: 3.6990e-04 - val_loss: -52.5123 - val_risk_out_loss: -52.5123\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 322us/step - loss: 4.8039e-04 - risk_out_loss: 4.8039e-04 - val_loss: -52.5086 - val_risk_out_loss: -52.5086\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 345us/step - loss: 0.0051 - risk_out_loss: 0.0051 - val_loss: -52.4990 - val_risk_out_loss: -52.4990\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 322us/step - loss: 4.1583e-04 - risk_out_loss: 4.1583e-04 - val_loss: -52.4797 - val_risk_out_loss: -52.4797\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 310us/step - loss: 0.0021 - risk_out_loss: 0.0021 - val_loss: -52.4585 - val_risk_out_loss: -52.4585\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 287us/step - loss: 0.0012 - risk_out_loss: 0.0012 - val_loss: -52.4365 - val_risk_out_loss: -52.4365\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 299us/step - loss: 4.6185e-05 - risk_out_loss: 4.6185e-05 - val_loss: -52.4095 - val_risk_out_loss: -52.4095\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 322us/step - loss: 1.1971e-04 - risk_out_loss: 1.1971e-04 - val_loss: -52.3886 - val_risk_out_loss: -52.3886\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 310us/step - loss: 1.2194e-04 - risk_out_loss: 1.2194e-04 - val_loss: -52.3672 - val_risk_out_loss: -52.3672\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 391us/step - loss: 2.6719e-04 - risk_out_loss: 2.6719e-04 - val_loss: -52.3397 - val_risk_out_loss: -52.3397\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 310us/step - loss: 3.9808e-05 - risk_out_loss: 3.9808e-05 - val_loss: -52.3256 - val_risk_out_loss: -52.3256\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 322us/step - loss: 0.0092 - risk_out_loss: 0.0092 - val_loss: -52.2736 - val_risk_out_loss: -52.2736\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 276us/step - loss: 1.0344e-05 - risk_out_loss: 1.0344e-05 - val_loss: -52.2209 - val_risk_out_loss: -52.2209\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 322us/step - loss: 8.9637e-04 - risk_out_loss: 8.9637e-04 - val_loss: -52.1700 - val_risk_out_loss: -52.1700\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 345us/step - loss: 1.0913e-04 - risk_out_loss: 1.0913e-04 - val_loss: -52.1268 - val_risk_out_loss: -52.1268\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 333us/step - loss: 6.8707e-05 - risk_out_loss: 6.8707e-05 - val_loss: -52.0834 - val_risk_out_loss: -52.0834\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 402us/step - loss: 0.0150 - risk_out_loss: 0.0150 - val_loss: -51.9437 - val_risk_out_loss: -51.9437\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 299us/step - loss: 1.1415e-05 - risk_out_loss: 1.1415e-05 - val_loss: -51.8146 - val_risk_out_loss: -51.8146\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 287us/step - loss: 1.9397e-05 - risk_out_loss: 1.9397e-05 - val_loss: -51.6780 - val_risk_out_loss: -51.6780\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 253us/step - loss: 4.6167e-05 - risk_out_loss: 4.6167e-05 - val_loss: -51.5519 - val_risk_out_loss: -51.5519\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 322us/step - loss: 4.5909e-06 - risk_out_loss: 4.5909e-06 - val_loss: -51.4103 - val_risk_out_loss: -51.4103\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 299us/step - loss: 8.0801e-06 - risk_out_loss: 8.0801e-06 - val_loss: -51.2785 - val_risk_out_loss: -51.2785\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 345us/step - loss: 5.3603e-06 - risk_out_loss: 5.3603e-06 - val_loss: -51.1635 - val_risk_out_loss: -51.1635\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 299us/step - loss: 8.5206e-06 - risk_out_loss: 8.5206e-06 - val_loss: -51.0471 - val_risk_out_loss: -51.0471\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 368us/step - loss: 0.0056 - risk_out_loss: 0.0056 - val_loss: -51.0955 - val_risk_out_loss: -51.0955\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 287us/step - loss: 4.9513e-04 - risk_out_loss: 4.9513e-04 - val_loss: -51.1470 - val_risk_out_loss: -51.1470\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 310us/step - loss: 1.0266e-04 - risk_out_loss: 1.0266e-04 - val_loss: -51.1753 - val_risk_out_loss: -51.1753\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 287us/step - loss: 4.5947e-04 - risk_out_loss: 4.5947e-04 - val_loss: -51.2010 - val_risk_out_loss: -51.2010\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 310us/step - loss: 5.4586e-06 - risk_out_loss: 5.4586e-06 - val_loss: -51.2226 - val_risk_out_loss: -51.2226\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 333us/step - loss: 5.4260e-06 - risk_out_loss: 5.4260e-06 - val_loss: -51.2376 - val_risk_out_loss: -51.2376\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 310us/step - loss: 8.2523e-04 - risk_out_loss: 8.2523e-04 - val_loss: -51.2489 - val_risk_out_loss: -51.2489\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 276us/step - loss: 1.6131e-06 - risk_out_loss: 1.6131e-06 - val_loss: -51.2552 - val_risk_out_loss: -51.2552\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 310us/step - loss: 7.0974e-07 - risk_out_loss: 7.0974e-07 - val_loss: -51.2606 - val_risk_out_loss: -51.2606\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 310us/step - loss: 0.0026 - risk_out_loss: 0.0026 - val_loss: -51.2278 - val_risk_out_loss: -51.2278\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 322us/step - loss: 4.5233e-04 - risk_out_loss: 4.5233e-04 - val_loss: -51.2103 - val_risk_out_loss: -51.2103\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 333us/step - loss: 5.5091e-04 - risk_out_loss: 5.5091e-04 - val_loss: -51.1809 - val_risk_out_loss: -51.1809\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 345us/step - loss: 1.5583e-06 - risk_out_loss: 1.5583e-06 - val_loss: -51.1487 - val_risk_out_loss: -51.1487\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 333us/step - loss: 8.0915e-06 - risk_out_loss: 8.0915e-06 - val_loss: -51.1235 - val_risk_out_loss: -51.1235\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 276us/step - loss: 2.3611e-05 - risk_out_loss: 2.3611e-05 - val_loss: -51.1087 - val_risk_out_loss: -51.1087\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 402us/step - loss: 1.6932e-06 - risk_out_loss: 1.6932e-06 - val_loss: -51.0866 - val_risk_out_loss: -51.0866\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 310us/step - loss: 9.4661e-07 - risk_out_loss: 9.4661e-07 - val_loss: -51.0668 - val_risk_out_loss: -51.0668\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 287us/step - loss: 8.2159e-07 - risk_out_loss: 8.2159e-07 - val_loss: -51.0432 - val_risk_out_loss: -51.0432\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 345us/step - loss: 7.4110e-06 - risk_out_loss: 7.4110e-06 - val_loss: -51.0183 - val_risk_out_loss: -51.0183\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 368us/step - loss: 5.5869e-07 - risk_out_loss: 5.5869e-07 - val_loss: -51.0046 - val_risk_out_loss: -51.0046\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 379us/step - loss: 1.7097e-04 - risk_out_loss: 1.7097e-04 - val_loss: -50.9999 - val_risk_out_loss: -50.9999\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 310us/step - loss: 1.8836e-05 - risk_out_loss: 1.8836e-05 - val_loss: -50.9950 - val_risk_out_loss: -50.9950\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 287us/step - loss: 6.1291e-06 - risk_out_loss: 6.1291e-06 - val_loss: -50.9892 - val_risk_out_loss: -50.9892\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 287us/step - loss: 1.4764e-06 - risk_out_loss: 1.4764e-06 - val_loss: -50.9810 - val_risk_out_loss: -50.9810\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 299us/step - loss: 9.4488e-07 - risk_out_loss: 9.4488e-07 - val_loss: -50.9759 - val_risk_out_loss: -50.9759\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 368us/step - loss: 2.9196e-06 - risk_out_loss: 2.9196e-06 - val_loss: -50.9728 - val_risk_out_loss: -50.9728\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 333us/step - loss: 5.5558e-06 - risk_out_loss: 5.5558e-06 - val_loss: -50.9687 - val_risk_out_loss: -50.9687\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 299us/step - loss: 2.2193e-05 - risk_out_loss: 2.2193e-05 - val_loss: -50.9649 - val_risk_out_loss: -50.9649\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 310us/step - loss: 5.4249e-05 - risk_out_loss: 5.4249e-05 - val_loss: -50.9629 - val_risk_out_loss: -50.9629\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 402us/step - loss: 7.2349e-06 - risk_out_loss: 7.2349e-06 - val_loss: -50.9614 - val_risk_out_loss: -50.9614\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 310us/step - loss: 1.7059e-05 - risk_out_loss: 1.7059e-05 - val_loss: -50.9605 - val_risk_out_loss: -50.9605\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 310us/step - loss: 1.0203e-06 - risk_out_loss: 1.0203e-06 - val_loss: -50.9627 - val_risk_out_loss: -50.9627\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 310us/step - loss: 1.2391e-05 - risk_out_loss: 1.2391e-05 - val_loss: -50.9614 - val_risk_out_loss: -50.9614\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 276us/step - loss: 1.1524e-05 - risk_out_loss: 1.1524e-05 - val_loss: -50.9613 - val_risk_out_loss: -50.9613\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 356us/step - loss: 1.7411e-06 - risk_out_loss: 1.7411e-06 - val_loss: -50.9614 - val_risk_out_loss: -50.9614\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 299us/step - loss: 3.0782e-07 - risk_out_loss: 3.0782e-07 - val_loss: -50.9613 - val_risk_out_loss: -50.9613\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 322us/step - loss: 0.0011 - risk_out_loss: 0.0011 - val_loss: -50.9943 - val_risk_out_loss: -50.9943\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 299us/step - loss: 0.0027 - risk_out_loss: 0.0027 - val_loss: -51.0651 - val_risk_out_loss: -51.0651\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 276us/step - loss: 2.3204e-06 - risk_out_loss: 2.3204e-06 - val_loss: -51.1237 - val_risk_out_loss: -51.1237\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 322us/step - loss: 7.2296e-06 - risk_out_loss: 7.2296e-06 - val_loss: -51.1754 - val_risk_out_loss: -51.1754\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 264us/step - loss: 3.3182e-05 - risk_out_loss: 3.3182e-05 - val_loss: -51.2264 - val_risk_out_loss: -51.2264\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 299us/step - loss: 8.6805e-06 - risk_out_loss: 8.6805e-06 - val_loss: -51.2685 - val_risk_out_loss: -51.2685\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 322us/step - loss: 1.3755e-05 - risk_out_loss: 1.3755e-05 - val_loss: -51.3119 - val_risk_out_loss: -51.3119\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 345us/step - loss: 9.7998e-06 - risk_out_loss: 9.7998e-06 - val_loss: -51.3410 - val_risk_out_loss: -51.3410\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 299us/step - loss: 3.3796e-04 - risk_out_loss: 3.3796e-04 - val_loss: -51.3788 - val_risk_out_loss: -51.3788\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 322us/step - loss: 2.7728e-06 - risk_out_loss: 2.7728e-06 - val_loss: -51.4133 - val_risk_out_loss: -51.4133\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 299us/step - loss: 9.5020e-07 - risk_out_loss: 9.5020e-07 - val_loss: -51.4483 - val_risk_out_loss: -51.4483\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 299us/step - loss: 3.7200e-07 - risk_out_loss: 3.7200e-07 - val_loss: -51.4702 - val_risk_out_loss: -51.4702\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 333us/step - loss: 3.9522e-06 - risk_out_loss: 3.9522e-06 - val_loss: -51.4960 - val_risk_out_loss: -51.4960\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 333us/step - loss: 1.8824e-06 - risk_out_loss: 1.8824e-06 - val_loss: -51.5243 - val_risk_out_loss: -51.5243\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 287us/step - loss: 2.6685e-06 - risk_out_loss: 2.6685e-06 - val_loss: -51.5385 - val_risk_out_loss: -51.5385\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 322us/step - loss: 3.6297e-07 - risk_out_loss: 3.6297e-07 - val_loss: -51.5528 - val_risk_out_loss: -51.5528\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 287us/step - loss: 3.8773e-06 - risk_out_loss: 3.8773e-06 - val_loss: -51.5729 - val_risk_out_loss: -51.5729\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 356us/step - loss: 1.3484e-06 - risk_out_loss: 1.3484e-06 - val_loss: -51.5863 - val_risk_out_loss: -51.5863\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 345us/step - loss: 4.0788e-04 - risk_out_loss: 4.0788e-04 - val_loss: -51.6080 - val_risk_out_loss: -51.6080\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 299us/step - loss: 4.7851e-07 - risk_out_loss: 4.7851e-07 - val_loss: -51.6301 - val_risk_out_loss: -51.6301\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 287us/step - loss: 0.0013 - risk_out_loss: 0.0013 - val_loss: -51.6366 - val_risk_out_loss: -51.6366\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 322us/step - loss: 8.2004e-06 - risk_out_loss: 8.2004e-06 - val_loss: -51.6472 - val_risk_out_loss: -51.6472\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 345us/step - loss: 4.7999e-06 - risk_out_loss: 4.7999e-06 - val_loss: -51.6519 - val_risk_out_loss: -51.6519\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 276us/step - loss: 6.8095e-07 - risk_out_loss: 6.8095e-07 - val_loss: -51.6563 - val_risk_out_loss: -51.6563\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 287us/step - loss: 1.4369e-06 - risk_out_loss: 1.4369e-06 - val_loss: -51.6597 - val_risk_out_loss: -51.6597\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 287us/step - loss: 2.8396e-06 - risk_out_loss: 2.8396e-06 - val_loss: -51.6641 - val_risk_out_loss: -51.6641\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 368us/step - loss: 5.7101e-07 - risk_out_loss: 5.7101e-07 - val_loss: -51.6688 - val_risk_out_loss: -51.6688\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 310us/step - loss: 6.7462e-06 - risk_out_loss: 6.7462e-06 - val_loss: -51.6717 - val_risk_out_loss: -51.6717\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 287us/step - loss: 3.9425e-07 - risk_out_loss: 3.9425e-07 - val_loss: -51.6785 - val_risk_out_loss: -51.6785\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 299us/step - loss: 5.9060e-06 - risk_out_loss: 5.9060e-06 - val_loss: -51.6799 - val_risk_out_loss: -51.6799\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 299us/step - loss: 2.9201e-06 - risk_out_loss: 2.9201e-06 - val_loss: -51.6818 - val_risk_out_loss: -51.6818\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 345us/step - loss: 1.5016e-06 - risk_out_loss: 1.5016e-06 - val_loss: -51.6836 - val_risk_out_loss: -51.6836\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 322us/step - loss: 9.6238e-07 - risk_out_loss: 9.6238e-07 - val_loss: -51.6851 - val_risk_out_loss: -51.6851\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 287us/step - loss: 3.9348e-06 - risk_out_loss: 3.9348e-06 - val_loss: -51.6878 - val_risk_out_loss: -51.6878\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 333us/step - loss: 3.9526e-07 - risk_out_loss: 3.9526e-07 - val_loss: -51.6890 - val_risk_out_loss: -51.6890\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 333us/step - loss: 6.9368e-06 - risk_out_loss: 6.9368e-06 - val_loss: -51.6907 - val_risk_out_loss: -51.6907\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 299us/step - loss: 1.5178e-07 - risk_out_loss: 1.5178e-07 - val_loss: -51.6917 - val_risk_out_loss: -51.6917\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 368us/step - loss: 5.1184e-07 - risk_out_loss: 5.1184e-07 - val_loss: -51.6924 - val_risk_out_loss: -51.6924\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 356us/step - loss: 5.2908e-07 - risk_out_loss: 5.2908e-07 - val_loss: -51.6944 - val_risk_out_loss: -51.6944\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 322us/step - loss: 3.7777e-06 - risk_out_loss: 3.7777e-06 - val_loss: -51.6952 - val_risk_out_loss: -51.6952\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 287us/step - loss: 8.3598e-07 - risk_out_loss: 8.3598e-07 - val_loss: -51.6956 - val_risk_out_loss: -51.6956\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 299us/step - loss: 4.1952e-06 - risk_out_loss: 4.1952e-06 - val_loss: -51.6960 - val_risk_out_loss: -51.6960\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 345us/step - loss: 7.6623e-07 - risk_out_loss: 7.6623e-07 - val_loss: -51.6971 - val_risk_out_loss: -51.6971\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 322us/step - loss: 1.5290e-06 - risk_out_loss: 1.5290e-06 - val_loss: -51.6978 - val_risk_out_loss: -51.6978\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 333us/step - loss: 1.7336e-06 - risk_out_loss: 1.7336e-06 - val_loss: -51.6981 - val_risk_out_loss: -51.6981\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 310us/step - loss: 4.4187e-07 - risk_out_loss: 4.4187e-07 - val_loss: -51.6984 - val_risk_out_loss: -51.6984\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 299us/step - loss: 1.9990e-06 - risk_out_loss: 1.9990e-06 - val_loss: -51.6986 - val_risk_out_loss: -51.6986\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 310us/step - loss: 5.3118e-06 - risk_out_loss: 5.3118e-06 - val_loss: -51.6999 - val_risk_out_loss: -51.6999\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 333us/step - loss: 1.3866e-06 - risk_out_loss: 1.3866e-06 - val_loss: -51.7003 - val_risk_out_loss: -51.7003\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 310us/step - loss: 9.0703e-07 - risk_out_loss: 9.0703e-07 - val_loss: -51.7012 - val_risk_out_loss: -51.7012\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 310us/step - loss: 5.9672e-06 - risk_out_loss: 5.9672e-06 - val_loss: -51.7018 - val_risk_out_loss: -51.7018\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 310us/step - loss: 6.9215e-07 - risk_out_loss: 6.9215e-07 - val_loss: -51.7020 - val_risk_out_loss: -51.7020\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 322us/step - loss: 6.7912e-06 - risk_out_loss: 6.7912e-06 - val_loss: -51.7023 - val_risk_out_loss: -51.7023\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 379us/step - loss: 4.9881e-04 - risk_out_loss: 4.9881e-04 - val_loss: -51.7137 - val_risk_out_loss: -51.7137\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 287us/step - loss: 9.7064e-07 - risk_out_loss: 9.7064e-07 - val_loss: -51.7223 - val_risk_out_loss: -51.7223\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 310us/step - loss: 2.3387e-07 - risk_out_loss: 2.3387e-07 - val_loss: -51.7330 - val_risk_out_loss: -51.7330\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 276us/step - loss: 1.0303e-05 - risk_out_loss: 1.0303e-05 - val_loss: -51.7385 - val_risk_out_loss: -51.7385\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 322us/step - loss: 8.3736e-06 - risk_out_loss: 8.3736e-06 - val_loss: -51.7457 - val_risk_out_loss: -51.7457\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 368us/step - loss: 3.2219e-05 - risk_out_loss: 3.2219e-05 - val_loss: -51.7546 - val_risk_out_loss: -51.7546\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 310us/step - loss: 2.7572e-06 - risk_out_loss: 2.7572e-06 - val_loss: -51.7653 - val_risk_out_loss: -51.7653\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 333us/step - loss: 8.0083e-07 - risk_out_loss: 8.0083e-07 - val_loss: -51.7736 - val_risk_out_loss: -51.7736\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 402us/step - loss: 2.0576e-06 - risk_out_loss: 2.0576e-06 - val_loss: -51.7780 - val_risk_out_loss: -51.7780\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 356us/step - loss: 4.2585e-07 - risk_out_loss: 4.2585e-07 - val_loss: -51.7814 - val_risk_out_loss: -51.7814\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 345us/step - loss: 2.9615e-04 - risk_out_loss: 2.9615e-04 - val_loss: -51.7831 - val_risk_out_loss: -51.7831\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 310us/step - loss: 6.6035e-07 - risk_out_loss: 6.6035e-07 - val_loss: -51.7841 - val_risk_out_loss: -51.7841\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 276us/step - loss: 1.3915e-07 - risk_out_loss: 1.3915e-07 - val_loss: -51.7849 - val_risk_out_loss: -51.7849\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "85/85 [==============================] - 0s 299us/step - loss: 9.8123e-07 - risk_out_loss: 9.8123e-07 - val_loss: -51.7858 - val_risk_out_loss: -51.7858\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 322us/step - loss: 1.3066e-06 - risk_out_loss: 1.3066e-06 - val_loss: -51.7900 - val_risk_out_loss: -51.7900\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 264us/step - loss: 2.2778e-06 - risk_out_loss: 2.2778e-06 - val_loss: -51.7912 - val_risk_out_loss: -51.7912\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 322us/step - loss: 2.2904e-05 - risk_out_loss: 2.2904e-05 - val_loss: -51.7924 - val_risk_out_loss: -51.7924\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 333us/step - loss: 2.6402e-05 - risk_out_loss: 2.6402e-05 - val_loss: -51.7929 - val_risk_out_loss: -51.7929\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 276us/step - loss: 1.6793e-06 - risk_out_loss: 1.6793e-06 - val_loss: -51.7930 - val_risk_out_loss: -51.7930\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 264us/step - loss: 4.1446e-07 - risk_out_loss: 4.1446e-07 - val_loss: -51.7931 - val_risk_out_loss: -51.7931\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 333us/step - loss: 7.6061e-07 - risk_out_loss: 7.6061e-07 - val_loss: -51.7933 - val_risk_out_loss: -51.7933\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 310us/step - loss: 1.4694e-05 - risk_out_loss: 1.4694e-05 - val_loss: -51.7936 - val_risk_out_loss: -51.7936\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 310us/step - loss: 3.9396e-05 - risk_out_loss: 3.9396e-05 - val_loss: -51.7949 - val_risk_out_loss: -51.7949\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 310us/step - loss: 5.1277e-07 - risk_out_loss: 5.1277e-07 - val_loss: -51.7960 - val_risk_out_loss: -51.7960\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 333us/step - loss: 1.6921e-04 - risk_out_loss: 1.6921e-04 - val_loss: -51.7958 - val_risk_out_loss: -51.7958\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 333us/step - loss: 3.8856e-07 - risk_out_loss: 3.8856e-07 - val_loss: -51.7964 - val_risk_out_loss: -51.7964\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 436us/step - loss: 4.2703e-04 - risk_out_loss: 4.2703e-04 - val_loss: -51.7903 - val_risk_out_loss: -51.7903\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 310us/step - loss: 5.1462e-07 - risk_out_loss: 5.1462e-07 - val_loss: -51.7859 - val_risk_out_loss: -51.7859\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 333us/step - loss: 2.4111e-06 - risk_out_loss: 2.4111e-06 - val_loss: -51.7825 - val_risk_out_loss: -51.7825\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 345us/step - loss: 4.8739e-07 - risk_out_loss: 4.8739e-07 - val_loss: -51.7762 - val_risk_out_loss: -51.7762\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 310us/step - loss: 1.1799e-06 - risk_out_loss: 1.1799e-06 - val_loss: -51.7705 - val_risk_out_loss: -51.7705\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 276us/step - loss: 2.5331e-04 - risk_out_loss: 2.5331e-04 - val_loss: -51.7738 - val_risk_out_loss: -51.7738\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 356us/step - loss: 0.0011 - risk_out_loss: 0.0011 - val_loss: -51.8046 - val_risk_out_loss: -51.8046\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 356us/step - loss: 4.7219e-07 - risk_out_loss: 4.7219e-07 - val_loss: -51.8284 - val_risk_out_loss: -51.8284\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 299us/step - loss: 6.9663e-06 - risk_out_loss: 6.9663e-06 - val_loss: -51.8466 - val_risk_out_loss: -51.8466\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 287us/step - loss: 1.0652e-05 - risk_out_loss: 1.0652e-05 - val_loss: -51.8645 - val_risk_out_loss: -51.8645\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 345us/step - loss: 4.3307e-06 - risk_out_loss: 4.3307e-06 - val_loss: -51.8800 - val_risk_out_loss: -51.8800\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 299us/step - loss: 3.5800e-04 - risk_out_loss: 3.5800e-04 - val_loss: -51.8981 - val_risk_out_loss: -51.8981\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 310us/step - loss: 8.5128e-04 - risk_out_loss: 8.5128e-04 - val_loss: -51.9303 - val_risk_out_loss: -51.9303\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 345us/step - loss: 7.0982e-06 - risk_out_loss: 7.0982e-06 - val_loss: -51.9647 - val_risk_out_loss: -51.9647\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 333us/step - loss: 1.4208e-06 - risk_out_loss: 1.4208e-06 - val_loss: -51.9929 - val_risk_out_loss: -51.9929\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 287us/step - loss: 6.2708e-07 - risk_out_loss: 6.2708e-07 - val_loss: -52.0190 - val_risk_out_loss: -52.0190\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 345us/step - loss: 2.6534e-06 - risk_out_loss: 2.6534e-06 - val_loss: -52.0466 - val_risk_out_loss: -52.0466\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 299us/step - loss: 5.4249e-05 - risk_out_loss: 5.4249e-05 - val_loss: -52.0628 - val_risk_out_loss: -52.0628\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 299us/step - loss: 3.3548e-07 - risk_out_loss: 3.3548e-07 - val_loss: -52.0807 - val_risk_out_loss: -52.0807\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 299us/step - loss: 4.1007e-07 - risk_out_loss: 4.1007e-07 - val_loss: -52.0976 - val_risk_out_loss: -52.0976\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 276us/step - loss: 4.4868e-07 - risk_out_loss: 4.4868e-07 - val_loss: -52.1107 - val_risk_out_loss: -52.1107\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 310us/step - loss: 9.3247e-06 - risk_out_loss: 9.3247e-06 - val_loss: -52.1223 - val_risk_out_loss: -52.1223\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 310us/step - loss: 9.0959e-05 - risk_out_loss: 9.0959e-05 - val_loss: -52.1362 - val_risk_out_loss: -52.1362\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 299us/step - loss: 1.1256e-06 - risk_out_loss: 1.1256e-06 - val_loss: -52.1456 - val_risk_out_loss: -52.1456\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 333us/step - loss: 1.9936e-06 - risk_out_loss: 1.9936e-06 - val_loss: -52.1520 - val_risk_out_loss: -52.1520\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 402us/step - loss: 0.0060 - risk_out_loss: 0.0060 - val_loss: -52.1032 - val_risk_out_loss: -52.1032\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 333us/step - loss: 1.6965e-06 - risk_out_loss: 1.6965e-06 - val_loss: -52.0509 - val_risk_out_loss: -52.0509\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 299us/step - loss: 2.9145e-07 - risk_out_loss: 2.9145e-07 - val_loss: -52.0091 - val_risk_out_loss: -52.0091\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 287us/step - loss: 8.3237e-07 - risk_out_loss: 8.3237e-07 - val_loss: -51.9657 - val_risk_out_loss: -51.9657\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 356us/step - loss: 1.6722e-05 - risk_out_loss: 1.6722e-05 - val_loss: -51.9243 - val_risk_out_loss: -51.9243\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 333us/step - loss: 2.0179e-06 - risk_out_loss: 2.0179e-06 - val_loss: -51.8915 - val_risk_out_loss: -51.8915\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 276us/step - loss: 5.8796e-05 - risk_out_loss: 5.8796e-05 - val_loss: -51.8530 - val_risk_out_loss: -51.8530\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 322us/step - loss: 3.1202e-06 - risk_out_loss: 3.1202e-06 - val_loss: -51.8181 - val_risk_out_loss: -51.8181\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 322us/step - loss: 1.6840e-06 - risk_out_loss: 1.6840e-06 - val_loss: -51.7873 - val_risk_out_loss: -51.7873\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 310us/step - loss: 4.9661e-07 - risk_out_loss: 4.9661e-07 - val_loss: -51.7579 - val_risk_out_loss: -51.7579\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 287us/step - loss: 5.8195e-06 - risk_out_loss: 5.8195e-06 - val_loss: -51.7317 - val_risk_out_loss: -51.7317\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 310us/step - loss: 3.2455e-07 - risk_out_loss: 3.2455e-07 - val_loss: -51.7069 - val_risk_out_loss: -51.7069\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 333us/step - loss: 8.8049e-06 - risk_out_loss: 8.8049e-06 - val_loss: -51.6814 - val_risk_out_loss: -51.6814\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 356us/step - loss: 5.1245e-05 - risk_out_loss: 5.1245e-05 - val_loss: -51.6659 - val_risk_out_loss: -51.6659\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 310us/step - loss: 4.6045e-07 - risk_out_loss: 4.6045e-07 - val_loss: -51.6508 - val_risk_out_loss: -51.6508\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 310us/step - loss: 3.0539e-07 - risk_out_loss: 3.0539e-07 - val_loss: -51.6380 - val_risk_out_loss: -51.6380\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 276us/step - loss: 1.0755e-07 - risk_out_loss: 1.0755e-07 - val_loss: -51.6269 - val_risk_out_loss: -51.6269\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 333us/step - loss: 7.2163e-07 - risk_out_loss: 7.2163e-07 - val_loss: -51.6164 - val_risk_out_loss: -51.6164\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 391us/step - loss: 1.8625e-06 - risk_out_loss: 1.8625e-06 - val_loss: -51.6055 - val_risk_out_loss: -51.6055\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 310us/step - loss: 2.8630e-07 - risk_out_loss: 2.8630e-07 - val_loss: -51.5981 - val_risk_out_loss: -51.5981\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 345us/step - loss: 0.0090 - risk_out_loss: 0.0090 - val_loss: -51.6985 - val_risk_out_loss: -51.6985\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 276us/step - loss: 5.4695e-05 - risk_out_loss: 5.4695e-05 - val_loss: -51.7953 - val_risk_out_loss: -51.7953\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 299us/step - loss: 4.0346e-07 - risk_out_loss: 4.0346e-07 - val_loss: -51.8727 - val_risk_out_loss: -51.8727\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 299us/step - loss: 1.1259e-05 - risk_out_loss: 1.1259e-05 - val_loss: -51.9427 - val_risk_out_loss: -51.9427\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 310us/step - loss: 6.2183e-06 - risk_out_loss: 6.2183e-06 - val_loss: -52.0021 - val_risk_out_loss: -52.0021\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 264us/step - loss: 1.0826e-06 - risk_out_loss: 1.0826e-06 - val_loss: -52.0559 - val_risk_out_loss: -52.0559\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 333us/step - loss: 1.9928e-04 - risk_out_loss: 1.9928e-04 - val_loss: -52.1025 - val_risk_out_loss: -52.1025\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 368us/step - loss: 8.5679e-06 - risk_out_loss: 8.5679e-06 - val_loss: -52.1487 - val_risk_out_loss: -52.1487\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 356us/step - loss: 1.9776e-06 - risk_out_loss: 1.9776e-06 - val_loss: -52.1851 - val_risk_out_loss: -52.1851\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 448us/step - loss: 3.7900e-05 - risk_out_loss: 3.7900e-05 - val_loss: -52.2178 - val_risk_out_loss: -52.2178\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 368us/step - loss: 6.2592e-06 - risk_out_loss: 6.2592e-06 - val_loss: -52.2406 - val_risk_out_loss: -52.2406\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 333us/step - loss: 5.2154e-06 - risk_out_loss: 5.2154e-06 - val_loss: -52.2659 - val_risk_out_loss: -52.2659\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 402us/step - loss: 7.4491e-07 - risk_out_loss: 7.4491e-07 - val_loss: -52.2865 - val_risk_out_loss: -52.2865\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 356us/step - loss: 4.9427e-06 - risk_out_loss: 4.9427e-06 - val_loss: -52.3049 - val_risk_out_loss: -52.3049\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 322us/step - loss: 3.6549e-06 - risk_out_loss: 3.6549e-06 - val_loss: -52.3216 - val_risk_out_loss: -52.3216\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 356us/step - loss: 5.1520e-06 - risk_out_loss: 5.1520e-06 - val_loss: -52.3371 - val_risk_out_loss: -52.3371\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 322us/step - loss: 0.0185 - risk_out_loss: 0.0185 - val_loss: -52.2329 - val_risk_out_loss: -52.2329\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 333us/step - loss: 5.0487e-07 - risk_out_loss: 5.0487e-07 - val_loss: -52.1320 - val_risk_out_loss: -52.1320\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 391us/step - loss: 6.3565e-07 - risk_out_loss: 6.3565e-07 - val_loss: -52.0292 - val_risk_out_loss: -52.0292\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 322us/step - loss: 5.2167e-07 - risk_out_loss: 5.2167e-07 - val_loss: -51.9013 - val_risk_out_loss: -51.9013\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 345us/step - loss: 2.9601e-07 - risk_out_loss: 2.9601e-07 - val_loss: -51.7881 - val_risk_out_loss: -51.7881\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 276us/step - loss: 2.5341e-07 - risk_out_loss: 2.5341e-07 - val_loss: -51.6622 - val_risk_out_loss: -51.6622\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 287us/step - loss: 1.0439e-04 - risk_out_loss: 1.0439e-04 - val_loss: -51.5444 - val_risk_out_loss: -51.5444\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 310us/step - loss: 2.1507e-04 - risk_out_loss: 2.1507e-04 - val_loss: -51.4283 - val_risk_out_loss: -51.4283\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 333us/step - loss: 7.2113e-06 - risk_out_loss: 7.2113e-06 - val_loss: -51.3328 - val_risk_out_loss: -51.3328\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 299us/step - loss: 4.2616e-07 - risk_out_loss: 4.2616e-07 - val_loss: -51.2330 - val_risk_out_loss: -51.2330\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 333us/step - loss: 7.1489e-06 - risk_out_loss: 7.1489e-06 - val_loss: -51.1429 - val_risk_out_loss: -51.1429\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 299us/step - loss: 1.3123e-06 - risk_out_loss: 1.3123e-06 - val_loss: -51.0592 - val_risk_out_loss: -51.0592\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 333us/step - loss: 4.7082e-07 - risk_out_loss: 4.7082e-07 - val_loss: -50.9638 - val_risk_out_loss: -50.9638\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 299us/step - loss: 4.8597e-07 - risk_out_loss: 4.8597e-07 - val_loss: -50.8897 - val_risk_out_loss: -50.8897\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 333us/step - loss: 1.9536e-07 - risk_out_loss: 1.9536e-07 - val_loss: -50.8221 - val_risk_out_loss: -50.8221\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 310us/step - loss: 6.7374e-07 - risk_out_loss: 6.7374e-07 - val_loss: -50.7645 - val_risk_out_loss: -50.7645\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 276us/step - loss: 5.5041e-06 - risk_out_loss: 5.5041e-06 - val_loss: -50.7003 - val_risk_out_loss: -50.7003\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 333us/step - loss: 2.0003e-07 - risk_out_loss: 2.0003e-07 - val_loss: -50.6524 - val_risk_out_loss: -50.6524\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 310us/step - loss: 1.2041e-04 - risk_out_loss: 1.2041e-04 - val_loss: -50.6085 - val_risk_out_loss: -50.6085\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 322us/step - loss: 1.8869e-06 - risk_out_loss: 1.8869e-06 - val_loss: -50.5534 - val_risk_out_loss: -50.5534\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 333us/step - loss: 2.3451e-06 - risk_out_loss: 2.3451e-06 - val_loss: -50.5103 - val_risk_out_loss: -50.5103\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 368us/step - loss: 4.2751e-07 - risk_out_loss: 4.2751e-07 - val_loss: -50.4739 - val_risk_out_loss: -50.4739\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 333us/step - loss: 5.5566e-06 - risk_out_loss: 5.5566e-06 - val_loss: -50.4395 - val_risk_out_loss: -50.4395\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 322us/step - loss: 4.9546e-06 - risk_out_loss: 4.9546e-06 - val_loss: -50.4141 - val_risk_out_loss: -50.4141\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 287us/step - loss: 1.5961e-06 - risk_out_loss: 1.5961e-06 - val_loss: -50.3827 - val_risk_out_loss: -50.3827\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 287us/step - loss: 8.7443e-07 - risk_out_loss: 8.7443e-07 - val_loss: -50.3553 - val_risk_out_loss: -50.3553\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 310us/step - loss: 4.3313e-06 - risk_out_loss: 4.3313e-06 - val_loss: -50.3305 - val_risk_out_loss: -50.3305\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 287us/step - loss: 1.0052e-05 - risk_out_loss: 1.0052e-05 - val_loss: -50.3099 - val_risk_out_loss: -50.3099\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 299us/step - loss: 6.3603e-04 - risk_out_loss: 6.3603e-04 - val_loss: -50.3506 - val_risk_out_loss: -50.3506\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 310us/step - loss: 2.2714e-06 - risk_out_loss: 2.2714e-06 - val_loss: -50.3973 - val_risk_out_loss: -50.3973\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 345us/step - loss: 9.5235e-07 - risk_out_loss: 9.5235e-07 - val_loss: -50.4308 - val_risk_out_loss: -50.4308\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 310us/step - loss: 1.1260e-06 - risk_out_loss: 1.1260e-06 - val_loss: -50.4529 - val_risk_out_loss: -50.4529\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 287us/step - loss: 4.9801e-07 - risk_out_loss: 4.9801e-07 - val_loss: -50.4765 - val_risk_out_loss: -50.4765\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 310us/step - loss: 4.2491e-06 - risk_out_loss: 4.2491e-06 - val_loss: -50.5007 - val_risk_out_loss: -50.5007\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 287us/step - loss: 1.4335e-06 - risk_out_loss: 1.4335e-06 - val_loss: -50.5161 - val_risk_out_loss: -50.5161\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 413us/step - loss: 9.2616e-07 - risk_out_loss: 9.2616e-07 - val_loss: -50.5406 - val_risk_out_loss: -50.5406\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 368us/step - loss: 1.0091e-05 - risk_out_loss: 1.0091e-05 - val_loss: -50.5618 - val_risk_out_loss: -50.5618\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 310us/step - loss: 4.9959e-06 - risk_out_loss: 4.9959e-06 - val_loss: -50.5772 - val_risk_out_loss: -50.5772\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 368us/step - loss: 1.5832e-06 - risk_out_loss: 1.5832e-06 - val_loss: -50.5894 - val_risk_out_loss: -50.5894\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 345us/step - loss: 3.0559e-04 - risk_out_loss: 3.0559e-04 - val_loss: -50.6290 - val_risk_out_loss: -50.6290\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 322us/step - loss: 2.5184e-07 - risk_out_loss: 2.5184e-07 - val_loss: -50.6636 - val_risk_out_loss: -50.6636\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 299us/step - loss: 4.9014e-06 - risk_out_loss: 4.9014e-06 - val_loss: -50.6972 - val_risk_out_loss: -50.6972\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 356us/step - loss: 3.4214e-07 - risk_out_loss: 3.4214e-07 - val_loss: -50.7182 - val_risk_out_loss: -50.7182\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 299us/step - loss: 1.2393e-06 - risk_out_loss: 1.2393e-06 - val_loss: -50.7386 - val_risk_out_loss: -50.7386\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 287us/step - loss: 5.6882e-06 - risk_out_loss: 5.6882e-06 - val_loss: -50.7568 - val_risk_out_loss: -50.7568\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 356us/step - loss: 6.1200e-04 - risk_out_loss: 6.1200e-04 - val_loss: -50.8096 - val_risk_out_loss: -50.8096\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 287us/step - loss: 1.0384e-04 - risk_out_loss: 1.0384e-04 - val_loss: -50.8699 - val_risk_out_loss: -50.8699\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 345us/step - loss: 2.4990e-06 - risk_out_loss: 2.4990e-06 - val_loss: -50.9190 - val_risk_out_loss: -50.9190\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 276us/step - loss: 5.7714e-07 - risk_out_loss: 5.7714e-07 - val_loss: -50.9563 - val_risk_out_loss: -50.9563\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 333us/step - loss: 1.5755e-05 - risk_out_loss: 1.5755e-05 - val_loss: -50.9941 - val_risk_out_loss: -50.9941\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 299us/step - loss: 1.2765e-06 - risk_out_loss: 1.2765e-06 - val_loss: -51.0308 - val_risk_out_loss: -51.0308\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 287us/step - loss: 7.4914e-06 - risk_out_loss: 7.4914e-06 - val_loss: -51.0650 - val_risk_out_loss: -51.0650\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 333us/step - loss: 6.0378e-05 - risk_out_loss: 6.0378e-05 - val_loss: -51.0984 - val_risk_out_loss: -51.0984\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 345us/step - loss: 1.6871e-06 - risk_out_loss: 1.6871e-06 - val_loss: -51.1303 - val_risk_out_loss: -51.1303\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 345us/step - loss: 6.6098e-04 - risk_out_loss: 6.6098e-04 - val_loss: -51.1776 - val_risk_out_loss: -51.1776\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 333us/step - loss: 2.3064e-06 - risk_out_loss: 2.3064e-06 - val_loss: -51.2249 - val_risk_out_loss: -51.2249\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 299us/step - loss: 1.0612e-04 - risk_out_loss: 1.0612e-04 - val_loss: -51.2743 - val_risk_out_loss: -51.2743\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 276us/step - loss: 2.8953e-07 - risk_out_loss: 2.8953e-07 - val_loss: -51.3143 - val_risk_out_loss: -51.3143\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 310us/step - loss: 6.6511e-05 - risk_out_loss: 6.6511e-05 - val_loss: -51.3464 - val_risk_out_loss: -51.3464\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 379us/step - loss: 1.4525e-06 - risk_out_loss: 1.4525e-06 - val_loss: -51.3796 - val_risk_out_loss: -51.3796\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 310us/step - loss: 3.2166e-07 - risk_out_loss: 3.2166e-07 - val_loss: -51.4114 - val_risk_out_loss: -51.4114\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 368us/step - loss: 1.1440e-05 - risk_out_loss: 1.1440e-05 - val_loss: -51.4324 - val_risk_out_loss: -51.4324\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 413us/step - loss: 6.3971e-06 - risk_out_loss: 6.3971e-06 - val_loss: -51.4527 - val_risk_out_loss: -51.4527\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 299us/step - loss: 1.2609e-06 - risk_out_loss: 1.2609e-06 - val_loss: -51.4739 - val_risk_out_loss: -51.4739\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 299us/step - loss: 1.4760e-06 - risk_out_loss: 1.4760e-06 - val_loss: -51.4959 - val_risk_out_loss: -51.4959\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 299us/step - loss: 2.5013e-06 - risk_out_loss: 2.5013e-06 - val_loss: -51.5098 - val_risk_out_loss: -51.5098\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 264us/step - loss: 2.7025e-05 - risk_out_loss: 2.7025e-05 - val_loss: -51.5280 - val_risk_out_loss: -51.5280\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 287us/step - loss: 1.1102e-07 - risk_out_loss: 1.1102e-07 - val_loss: -51.5428 - val_risk_out_loss: -51.5428\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 310us/step - loss: 6.0983e-06 - risk_out_loss: 6.0983e-06 - val_loss: -51.5559 - val_risk_out_loss: -51.5559\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 333us/step - loss: 1.1228e-05 - risk_out_loss: 1.1228e-05 - val_loss: -51.5658 - val_risk_out_loss: -51.5658\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 345us/step - loss: 2.5600e-05 - risk_out_loss: 2.5600e-05 - val_loss: -51.5741 - val_risk_out_loss: -51.5741\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 356us/step - loss: 8.9291e-07 - risk_out_loss: 8.9291e-07 - val_loss: -51.5913 - val_risk_out_loss: -51.5913\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 299us/step - loss: 3.0211e-06 - risk_out_loss: 3.0211e-06 - val_loss: -51.6029 - val_risk_out_loss: -51.6029\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 299us/step - loss: 8.5761e-07 - risk_out_loss: 8.5761e-07 - val_loss: -51.6143 - val_risk_out_loss: -51.6143\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 310us/step - loss: 1.3691e-07 - risk_out_loss: 1.3691e-07 - val_loss: -51.6251 - val_risk_out_loss: -51.6251\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 322us/step - loss: 7.8736e-04 - risk_out_loss: 7.8736e-04 - val_loss: -51.6150 - val_risk_out_loss: -51.6150\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 287us/step - loss: 7.4665e-05 - risk_out_loss: 7.4665e-05 - val_loss: -51.6091 - val_risk_out_loss: -51.6091\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 322us/step - loss: 8.2833e-05 - risk_out_loss: 8.2833e-05 - val_loss: -51.6028 - val_risk_out_loss: -51.6028\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 322us/step - loss: 7.8917e-07 - risk_out_loss: 7.8917e-07 - val_loss: -51.6023 - val_risk_out_loss: -51.6023\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 310us/step - loss: 1.6573e-06 - risk_out_loss: 1.6573e-06 - val_loss: -51.6011 - val_risk_out_loss: -51.6011\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 322us/step - loss: 1.8731e-06 - risk_out_loss: 1.8731e-06 - val_loss: -51.5974 - val_risk_out_loss: -51.5974\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 299us/step - loss: 1.1250e-06 - risk_out_loss: 1.1250e-06 - val_loss: -51.5965 - val_risk_out_loss: -51.5965\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 299us/step - loss: 8.3003e-07 - risk_out_loss: 8.3003e-07 - val_loss: -51.5956 - val_risk_out_loss: -51.5956\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 322us/step - loss: 9.5893e-07 - risk_out_loss: 9.5893e-07 - val_loss: -51.5947 - val_risk_out_loss: -51.5947\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 322us/step - loss: 2.5585e-06 - risk_out_loss: 2.5585e-06 - val_loss: -51.5936 - val_risk_out_loss: -51.5936\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "85/85 [==============================] - 0s 299us/step - loss: 3.0518e-07 - risk_out_loss: 3.0518e-07 - val_loss: -51.5926 - val_risk_out_loss: -51.5926\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 345us/step - loss: 2.4180e-05 - risk_out_loss: 2.4180e-05 - val_loss: -51.5924 - val_risk_out_loss: -51.5924\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 299us/step - loss: 1.3210e-07 - risk_out_loss: 1.3210e-07 - val_loss: -51.5920 - val_risk_out_loss: -51.5920\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 299us/step - loss: 2.3394e-05 - risk_out_loss: 2.3394e-05 - val_loss: -51.5920 - val_risk_out_loss: -51.5920\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 322us/step - loss: 7.9121e-07 - risk_out_loss: 7.9121e-07 - val_loss: -51.5926 - val_risk_out_loss: -51.5926\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 310us/step - loss: 1.4869e-04 - risk_out_loss: 1.4869e-04 - val_loss: -51.5885 - val_risk_out_loss: -51.5885\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 345us/step - loss: 1.0113e-06 - risk_out_loss: 1.0113e-06 - val_loss: -51.5823 - val_risk_out_loss: -51.5823\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 310us/step - loss: 2.5547e-06 - risk_out_loss: 2.5547e-06 - val_loss: -51.5791 - val_risk_out_loss: -51.5791\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 299us/step - loss: 2.9208e-07 - risk_out_loss: 2.9208e-07 - val_loss: -51.5766 - val_risk_out_loss: -51.5766\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 299us/step - loss: 2.4353e-06 - risk_out_loss: 2.4353e-06 - val_loss: -51.5754 - val_risk_out_loss: -51.5754\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 299us/step - loss: 5.6372e-06 - risk_out_loss: 5.6372e-06 - val_loss: -51.5738 - val_risk_out_loss: -51.5738\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 299us/step - loss: 9.6814e-07 - risk_out_loss: 9.6814e-07 - val_loss: -51.5728 - val_risk_out_loss: -51.5728\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 322us/step - loss: 1.2899e-06 - risk_out_loss: 1.2899e-06 - val_loss: -51.5718 - val_risk_out_loss: -51.5718\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 310us/step - loss: 2.9228e-07 - risk_out_loss: 2.9228e-07 - val_loss: -51.5706 - val_risk_out_loss: -51.5706\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 322us/step - loss: 1.4391e-06 - risk_out_loss: 1.4391e-06 - val_loss: -51.5703 - val_risk_out_loss: -51.5703\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 299us/step - loss: 5.2537e-07 - risk_out_loss: 5.2537e-07 - val_loss: -51.5690 - val_risk_out_loss: -51.5690\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 310us/step - loss: 3.4051e-06 - risk_out_loss: 3.4051e-06 - val_loss: -51.5670 - val_risk_out_loss: -51.5670\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 310us/step - loss: 1.3655e-06 - risk_out_loss: 1.3655e-06 - val_loss: -51.5627 - val_risk_out_loss: -51.5627\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 310us/step - loss: 2.6134e-07 - risk_out_loss: 2.6134e-07 - val_loss: -51.5619 - val_risk_out_loss: -51.5619\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 310us/step - loss: 1.5353e-06 - risk_out_loss: 1.5353e-06 - val_loss: -51.5613 - val_risk_out_loss: -51.5613\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 299us/step - loss: 1.5030e-06 - risk_out_loss: 1.5030e-06 - val_loss: -51.5581 - val_risk_out_loss: -51.5581\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 310us/step - loss: 1.1090e-06 - risk_out_loss: 1.1090e-06 - val_loss: -51.5564 - val_risk_out_loss: -51.5564\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 299us/step - loss: 4.4222e-06 - risk_out_loss: 4.4222e-06 - val_loss: -51.5562 - val_risk_out_loss: -51.5562\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 345us/step - loss: 1.7323e-05 - risk_out_loss: 1.7323e-05 - val_loss: -51.5610 - val_risk_out_loss: -51.5610\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 322us/step - loss: 2.6585e-07 - risk_out_loss: 2.6585e-07 - val_loss: -51.5612 - val_risk_out_loss: -51.5612\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 322us/step - loss: 1.1374e-05 - risk_out_loss: 1.1374e-05 - val_loss: -51.5659 - val_risk_out_loss: -51.5659\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 299us/step - loss: 4.4954e-07 - risk_out_loss: 4.4954e-07 - val_loss: -51.5687 - val_risk_out_loss: -51.5687\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 310us/step - loss: 5.4786e-07 - risk_out_loss: 5.4786e-07 - val_loss: -51.5697 - val_risk_out_loss: -51.5697\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 402us/step - loss: 1.0679e-07 - risk_out_loss: 1.0679e-07 - val_loss: -51.5700 - val_risk_out_loss: -51.5700\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 379us/step - loss: 1.2565e-07 - risk_out_loss: 1.2565e-07 - val_loss: -51.5705 - val_risk_out_loss: -51.5705\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 310us/step - loss: 2.7511e-07 - risk_out_loss: 2.7511e-07 - val_loss: -51.5712 - val_risk_out_loss: -51.5712\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 356us/step - loss: 1.0757e-06 - risk_out_loss: 1.0757e-06 - val_loss: -51.5715 - val_risk_out_loss: -51.5715\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 345us/step - loss: 2.3776e-06 - risk_out_loss: 2.3776e-06 - val_loss: -51.5718 - val_risk_out_loss: -51.5718\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 322us/step - loss: 4.8975e-07 - risk_out_loss: 4.8975e-07 - val_loss: -51.5722 - val_risk_out_loss: -51.5722\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 356us/step - loss: 7.3627e-05 - risk_out_loss: 7.3627e-05 - val_loss: -51.5724 - val_risk_out_loss: -51.5724\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 345us/step - loss: 1.5004e-07 - risk_out_loss: 1.5004e-07 - val_loss: -51.5725 - val_risk_out_loss: -51.5725\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 310us/step - loss: 1.8796e-06 - risk_out_loss: 1.8796e-06 - val_loss: -51.5726 - val_risk_out_loss: -51.5726\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 333us/step - loss: 5.9651e-07 - risk_out_loss: 5.9651e-07 - val_loss: -51.5728 - val_risk_out_loss: -51.5728\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 299us/step - loss: 8.3431e-07 - risk_out_loss: 8.3431e-07 - val_loss: -51.5731 - val_risk_out_loss: -51.5731\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 287us/step - loss: 1.4976e-06 - risk_out_loss: 1.4976e-06 - val_loss: -51.5733 - val_risk_out_loss: -51.5733\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 322us/step - loss: 1.0320e-05 - risk_out_loss: 1.0320e-05 - val_loss: -51.5735 - val_risk_out_loss: -51.5735\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 310us/step - loss: 2.0152e-07 - risk_out_loss: 2.0152e-07 - val_loss: -51.5743 - val_risk_out_loss: -51.5743\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 333us/step - loss: 8.8739e-07 - risk_out_loss: 8.8739e-07 - val_loss: -51.5747 - val_risk_out_loss: -51.5747\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 356us/step - loss: 4.5936e-05 - risk_out_loss: 4.5936e-05 - val_loss: -51.5746 - val_risk_out_loss: -51.5746\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 333us/step - loss: 3.5490e-07 - risk_out_loss: 3.5490e-07 - val_loss: -51.5754 - val_risk_out_loss: -51.5754\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 299us/step - loss: 2.5052e-06 - risk_out_loss: 2.5052e-06 - val_loss: -51.5750 - val_risk_out_loss: -51.5750\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 310us/step - loss: 3.5837e-07 - risk_out_loss: 3.5837e-07 - val_loss: -51.5743 - val_risk_out_loss: -51.5743\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 333us/step - loss: 0.0025 - risk_out_loss: 0.0025 - val_loss: -51.6860 - val_risk_out_loss: -51.6860\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 368us/step - loss: 3.8609e-04 - risk_out_loss: 3.8609e-04 - val_loss: -51.7935 - val_risk_out_loss: -51.7935\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 299us/step - loss: 1.0176e-06 - risk_out_loss: 1.0176e-06 - val_loss: -51.8768 - val_risk_out_loss: -51.8768\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 299us/step - loss: 1.5342e-06 - risk_out_loss: 1.5342e-06 - val_loss: -51.9468 - val_risk_out_loss: -51.9468\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 299us/step - loss: 1.9458e-06 - risk_out_loss: 1.9458e-06 - val_loss: -52.0043 - val_risk_out_loss: -52.0043\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 276us/step - loss: 5.7118e-07 - risk_out_loss: 5.7118e-07 - val_loss: -52.0549 - val_risk_out_loss: -52.0549\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 310us/step - loss: 1.3133e-04 - risk_out_loss: 1.3133e-04 - val_loss: -52.1102 - val_risk_out_loss: -52.1102\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 287us/step - loss: 2.4421e-06 - risk_out_loss: 2.4421e-06 - val_loss: -52.1465 - val_risk_out_loss: -52.1465\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 287us/step - loss: 1.4559e-06 - risk_out_loss: 1.4559e-06 - val_loss: -52.1799 - val_risk_out_loss: -52.1799\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 345us/step - loss: 6.6134e-07 - risk_out_loss: 6.6134e-07 - val_loss: -52.2129 - val_risk_out_loss: -52.2129\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 333us/step - loss: 3.7834e-07 - risk_out_loss: 3.7834e-07 - val_loss: -52.2386 - val_risk_out_loss: -52.2386\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 310us/step - loss: 3.8842e-07 - risk_out_loss: 3.8842e-07 - val_loss: -52.2562 - val_risk_out_loss: -52.2562\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 299us/step - loss: 2.7955e-07 - risk_out_loss: 2.7955e-07 - val_loss: -52.2729 - val_risk_out_loss: -52.2729\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 333us/step - loss: 2.7588e-07 - risk_out_loss: 2.7588e-07 - val_loss: -52.2902 - val_risk_out_loss: -52.2902\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 345us/step - loss: 1.1217e-04 - risk_out_loss: 1.1217e-04 - val_loss: -52.3002 - val_risk_out_loss: -52.3002\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 333us/step - loss: 2.2502e-06 - risk_out_loss: 2.2502e-06 - val_loss: -52.3118 - val_risk_out_loss: -52.3118\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 310us/step - loss: 2.7177e-07 - risk_out_loss: 2.7177e-07 - val_loss: -52.3234 - val_risk_out_loss: -52.3234\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 299us/step - loss: 9.0090e-07 - risk_out_loss: 9.0090e-07 - val_loss: -52.3313 - val_risk_out_loss: -52.3313\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 276us/step - loss: 0.0046 - risk_out_loss: 0.0046 - val_loss: -52.3097 - val_risk_out_loss: -52.3097\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 310us/step - loss: 7.4641e-07 - risk_out_loss: 7.4641e-07 - val_loss: -52.2894 - val_risk_out_loss: -52.2894\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 345us/step - loss: 8.2134e-06 - risk_out_loss: 8.2134e-06 - val_loss: -52.2743 - val_risk_out_loss: -52.2743\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 299us/step - loss: 2.3971e-06 - risk_out_loss: 2.3971e-06 - val_loss: -52.2603 - val_risk_out_loss: -52.2603\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 322us/step - loss: 1.9390e-07 - risk_out_loss: 1.9390e-07 - val_loss: -52.2477 - val_risk_out_loss: -52.2477\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 356us/step - loss: 4.8110e-07 - risk_out_loss: 4.8110e-07 - val_loss: -52.2311 - val_risk_out_loss: -52.2311\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 299us/step - loss: 2.2673e-06 - risk_out_loss: 2.2673e-06 - val_loss: -52.2208 - val_risk_out_loss: -52.2208\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 333us/step - loss: 9.0378e-05 - risk_out_loss: 9.0378e-05 - val_loss: -52.2122 - val_risk_out_loss: -52.2122\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 299us/step - loss: 1.8514e-07 - risk_out_loss: 1.8514e-07 - val_loss: -52.2018 - val_risk_out_loss: -52.2018\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 276us/step - loss: 3.2715e-05 - risk_out_loss: 3.2715e-05 - val_loss: -52.1906 - val_risk_out_loss: -52.1906\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 345us/step - loss: 6.3579e-05 - risk_out_loss: 6.3579e-05 - val_loss: -52.1746 - val_risk_out_loss: -52.1746\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 276us/step - loss: 2.6019e-06 - risk_out_loss: 2.6019e-06 - val_loss: -52.1676 - val_risk_out_loss: -52.1676\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 322us/step - loss: 9.2265e-07 - risk_out_loss: 9.2265e-07 - val_loss: -52.1602 - val_risk_out_loss: -52.1602\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 322us/step - loss: 2.3935e-04 - risk_out_loss: 2.3935e-04 - val_loss: -52.1524 - val_risk_out_loss: -52.1524\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 333us/step - loss: 5.0485e-07 - risk_out_loss: 5.0485e-07 - val_loss: -52.1450 - val_risk_out_loss: -52.1450\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 299us/step - loss: 2.4052e-07 - risk_out_loss: 2.4052e-07 - val_loss: -52.1330 - val_risk_out_loss: -52.1330\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 299us/step - loss: 2.0169e-05 - risk_out_loss: 2.0169e-05 - val_loss: -52.1249 - val_risk_out_loss: -52.1249\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 310us/step - loss: 2.8548e-05 - risk_out_loss: 2.8548e-05 - val_loss: -52.1186 - val_risk_out_loss: -52.1186\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 333us/step - loss: 3.9193e-07 - risk_out_loss: 3.9193e-07 - val_loss: -52.1127 - val_risk_out_loss: -52.1127\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 333us/step - loss: 5.1867e-05 - risk_out_loss: 5.1867e-05 - val_loss: -52.1079 - val_risk_out_loss: -52.1079\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 356us/step - loss: 1.6137e-05 - risk_out_loss: 1.6137e-05 - val_loss: -52.1007 - val_risk_out_loss: -52.1007\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 287us/step - loss: 7.7640e-07 - risk_out_loss: 7.7640e-07 - val_loss: -52.0968 - val_risk_out_loss: -52.0968\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 299us/step - loss: 5.3040e-07 - risk_out_loss: 5.3040e-07 - val_loss: -52.0937 - val_risk_out_loss: -52.0937\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 322us/step - loss: 4.9056e-07 - risk_out_loss: 4.9056e-07 - val_loss: -52.0906 - val_risk_out_loss: -52.0906\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 345us/step - loss: 2.2373e-06 - risk_out_loss: 2.2373e-06 - val_loss: -52.0871 - val_risk_out_loss: -52.0871\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 276us/step - loss: 3.1901e-06 - risk_out_loss: 3.1901e-06 - val_loss: -52.0800 - val_risk_out_loss: -52.0800\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 333us/step - loss: 5.8124e-07 - risk_out_loss: 5.8124e-07 - val_loss: -52.0775 - val_risk_out_loss: -52.0775\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 345us/step - loss: 3.0828e-07 - risk_out_loss: 3.0828e-07 - val_loss: -52.0748 - val_risk_out_loss: -52.0748\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 287us/step - loss: 1.5749e-07 - risk_out_loss: 1.5749e-07 - val_loss: -52.0691 - val_risk_out_loss: -52.0691\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 368us/step - loss: 3.1145e-06 - risk_out_loss: 3.1145e-06 - val_loss: -52.0649 - val_risk_out_loss: -52.0649\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 287us/step - loss: 1.9745e-06 - risk_out_loss: 1.9745e-06 - val_loss: -52.0603 - val_risk_out_loss: -52.0603\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 368us/step - loss: 1.5551e-07 - risk_out_loss: 1.5551e-07 - val_loss: -52.0594 - val_risk_out_loss: -52.0594\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 299us/step - loss: 2.0215e-07 - risk_out_loss: 2.0215e-07 - val_loss: -52.0581 - val_risk_out_loss: -52.0581\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 276us/step - loss: 5.5254e-05 - risk_out_loss: 5.5254e-05 - val_loss: -52.0572 - val_risk_out_loss: -52.0572\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 379us/step - loss: 3.1118e-06 - risk_out_loss: 3.1118e-06 - val_loss: -52.0567 - val_risk_out_loss: -52.0567\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 299us/step - loss: 3.3544e-07 - risk_out_loss: 3.3544e-07 - val_loss: -52.0561 - val_risk_out_loss: -52.0561\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 310us/step - loss: 2.0002e-07 - risk_out_loss: 2.0002e-07 - val_loss: -52.0555 - val_risk_out_loss: -52.0555\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 299us/step - loss: 9.4816e-05 - risk_out_loss: 9.4816e-05 - val_loss: -52.0569 - val_risk_out_loss: -52.0569\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 299us/step - loss: 3.9799e-07 - risk_out_loss: 3.9799e-07 - val_loss: -52.0589 - val_risk_out_loss: -52.0589\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 299us/step - loss: 2.7095e-07 - risk_out_loss: 2.7095e-07 - val_loss: -52.0639 - val_risk_out_loss: -52.0639\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 287us/step - loss: 1.7193e-05 - risk_out_loss: 1.7193e-05 - val_loss: -52.0653 - val_risk_out_loss: -52.0653\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 333us/step - loss: 5.9828e-07 - risk_out_loss: 5.9828e-07 - val_loss: -52.0702 - val_risk_out_loss: -52.0702\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 345us/step - loss: 2.3211e-04 - risk_out_loss: 2.3211e-04 - val_loss: -52.0696 - val_risk_out_loss: -52.0696\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 345us/step - loss: 3.0240e-07 - risk_out_loss: 3.0240e-07 - val_loss: -52.0686 - val_risk_out_loss: -52.0686\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 345us/step - loss: 2.6654e-07 - risk_out_loss: 2.6654e-07 - val_loss: -52.0682 - val_risk_out_loss: -52.0682\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 287us/step - loss: 8.9216e-07 - risk_out_loss: 8.9216e-07 - val_loss: -52.0679 - val_risk_out_loss: -52.0679\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 356us/step - loss: 8.7866e-05 - risk_out_loss: 8.7866e-05 - val_loss: -52.0711 - val_risk_out_loss: -52.0711\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 276us/step - loss: 7.8183e-07 - risk_out_loss: 7.8183e-07 - val_loss: -52.0748 - val_risk_out_loss: -52.0748\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 276us/step - loss: 1.0207e-05 - risk_out_loss: 1.0207e-05 - val_loss: -52.0761 - val_risk_out_loss: -52.0761\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 356us/step - loss: 6.0468e-07 - risk_out_loss: 6.0468e-07 - val_loss: -52.0790 - val_risk_out_loss: -52.0790\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 402us/step - loss: 2.1903e-06 - risk_out_loss: 2.1903e-06 - val_loss: -52.0805 - val_risk_out_loss: -52.0805\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 310us/step - loss: 1.6423e-06 - risk_out_loss: 1.6423e-06 - val_loss: -52.0819 - val_risk_out_loss: -52.0819\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 299us/step - loss: 2.1312e-06 - risk_out_loss: 2.1312e-06 - val_loss: -52.0830 - val_risk_out_loss: -52.0830\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 310us/step - loss: 5.7030e-07 - risk_out_loss: 5.7030e-07 - val_loss: -52.0843 - val_risk_out_loss: -52.0843\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "85/85 [==============================] - 0s 368us/step - loss: 4.4026e-05 - risk_out_loss: 4.4026e-05 - val_loss: -52.0884 - val_risk_out_loss: -52.0884\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 287us/step - loss: 5.6863e-07 - risk_out_loss: 5.6863e-07 - val_loss: -52.0943 - val_risk_out_loss: -52.0943\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 322us/step - loss: 1.0802e-05 - risk_out_loss: 1.0802e-05 - val_loss: -52.0977 - val_risk_out_loss: -52.0977\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 287us/step - loss: 3.1769e-07 - risk_out_loss: 3.1769e-07 - val_loss: -52.0995 - val_risk_out_loss: -52.0995\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 287us/step - loss: 2.2664e-06 - risk_out_loss: 2.2664e-06 - val_loss: -52.1009 - val_risk_out_loss: -52.1009\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 287us/step - loss: 4.5930e-07 - risk_out_loss: 4.5930e-07 - val_loss: -52.1017 - val_risk_out_loss: -52.1017\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 322us/step - loss: 4.1365e-06 - risk_out_loss: 4.1365e-06 - val_loss: -52.1034 - val_risk_out_loss: -52.1034\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 345us/step - loss: 1.7713e-06 - risk_out_loss: 1.7713e-06 - val_loss: -52.1049 - val_risk_out_loss: -52.1049\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 345us/step - loss: 1.7635e-07 - risk_out_loss: 1.7635e-07 - val_loss: -52.1057 - val_risk_out_loss: -52.1057\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 368us/step - loss: 3.5189e-07 - risk_out_loss: 3.5189e-07 - val_loss: -52.1062 - val_risk_out_loss: -52.1062\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 287us/step - loss: 2.9381e-07 - risk_out_loss: 2.9381e-07 - val_loss: -52.1072 - val_risk_out_loss: -52.1072\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 287us/step - loss: 1.1910e-07 - risk_out_loss: 1.1910e-07 - val_loss: -52.1075 - val_risk_out_loss: -52.1075\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 333us/step - loss: 2.1797e-07 - risk_out_loss: 2.1797e-07 - val_loss: -52.1095 - val_risk_out_loss: -52.1095\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 299us/step - loss: 3.8684e-07 - risk_out_loss: 3.8684e-07 - val_loss: -52.1110 - val_risk_out_loss: -52.1110\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 310us/step - loss: 2.7974e-07 - risk_out_loss: 2.7974e-07 - val_loss: -52.1113 - val_risk_out_loss: -52.1113\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 345us/step - loss: 6.4714e-07 - risk_out_loss: 6.4714e-07 - val_loss: -52.1117 - val_risk_out_loss: -52.1117\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 322us/step - loss: 0.0018 - risk_out_loss: 0.0018 - val_loss: -52.1580 - val_risk_out_loss: -52.1580\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 310us/step - loss: 2.6882e-07 - risk_out_loss: 2.6882e-07 - val_loss: -52.1977 - val_risk_out_loss: -52.1977\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 299us/step - loss: 1.6693e-06 - risk_out_loss: 1.6693e-06 - val_loss: -52.2282 - val_risk_out_loss: -52.2282\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 322us/step - loss: 1.5211e-06 - risk_out_loss: 1.5211e-06 - val_loss: -52.2537 - val_risk_out_loss: -52.2537\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 368us/step - loss: 7.1340e-07 - risk_out_loss: 7.1340e-07 - val_loss: -52.2765 - val_risk_out_loss: -52.2765\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 333us/step - loss: 1.8040e-06 - risk_out_loss: 1.8040e-06 - val_loss: -52.2975 - val_risk_out_loss: -52.2975\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 287us/step - loss: 3.5866e-07 - risk_out_loss: 3.5866e-07 - val_loss: -52.3212 - val_risk_out_loss: -52.3212\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 322us/step - loss: 7.4464e-07 - risk_out_loss: 7.4464e-07 - val_loss: -52.3349 - val_risk_out_loss: -52.3349\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 287us/step - loss: 1.6124e-06 - risk_out_loss: 1.6124e-06 - val_loss: -52.3462 - val_risk_out_loss: -52.3462\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 276us/step - loss: 1.3086e-05 - risk_out_loss: 1.3086e-05 - val_loss: -52.3636 - val_risk_out_loss: -52.3636\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 310us/step - loss: 1.7228e-06 - risk_out_loss: 1.7228e-06 - val_loss: -52.3742 - val_risk_out_loss: -52.3742\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 299us/step - loss: 4.9106e-05 - risk_out_loss: 4.9106e-05 - val_loss: -52.3877 - val_risk_out_loss: -52.3877\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 299us/step - loss: 2.9071e-07 - risk_out_loss: 2.9071e-07 - val_loss: -52.3960 - val_risk_out_loss: -52.3960\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 356us/step - loss: 2.7411e-07 - risk_out_loss: 2.7411e-07 - val_loss: -52.4055 - val_risk_out_loss: -52.4055\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 322us/step - loss: 5.7368e-07 - risk_out_loss: 5.7368e-07 - val_loss: -52.4117 - val_risk_out_loss: -52.4117\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 322us/step - loss: 7.2729e-07 - risk_out_loss: 7.2729e-07 - val_loss: -52.4171 - val_risk_out_loss: -52.4171\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 356us/step - loss: 0.0158 - risk_out_loss: 0.0158 - val_loss: -52.6114 - val_risk_out_loss: -52.6114\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 310us/step - loss: 1.7298e-07 - risk_out_loss: 1.7298e-07 - val_loss: -52.7380 - val_risk_out_loss: -52.7380\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 345us/step - loss: 7.7189e-07 - risk_out_loss: 7.7189e-07 - val_loss: -52.8078 - val_risk_out_loss: -52.8078\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 345us/step - loss: 5.4515e-07 - risk_out_loss: 5.4515e-07 - val_loss: -52.8522 - val_risk_out_loss: -52.8522\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 310us/step - loss: 2.4240e-05 - risk_out_loss: 2.4240e-05 - val_loss: -52.8916 - val_risk_out_loss: -52.8916\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 345us/step - loss: 0.0014 - risk_out_loss: 0.0014 - val_loss: -52.9103 - val_risk_out_loss: -52.9103\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 345us/step - loss: 2.7976e-05 - risk_out_loss: 2.7976e-05 - val_loss: -52.9295 - val_risk_out_loss: -52.9295\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 310us/step - loss: 5.2790e-05 - risk_out_loss: 5.2790e-05 - val_loss: -52.9427 - val_risk_out_loss: -52.9427\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 345us/step - loss: 3.7998e-06 - risk_out_loss: 3.7998e-06 - val_loss: -52.9562 - val_risk_out_loss: -52.9562\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 368us/step - loss: 0.0174 - risk_out_loss: 0.0174 - val_loss: -52.9329 - val_risk_out_loss: -52.9329\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 356us/step - loss: 1.1079e-05 - risk_out_loss: 1.1079e-05 - val_loss: -52.9087 - val_risk_out_loss: -52.9087\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 345us/step - loss: 1.6405e-05 - risk_out_loss: 1.6405e-05 - val_loss: -52.8766 - val_risk_out_loss: -52.8766\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 345us/step - loss: 2.4259e-04 - risk_out_loss: 2.4259e-04 - val_loss: -52.8414 - val_risk_out_loss: -52.8414\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 322us/step - loss: 4.9016e-06 - risk_out_loss: 4.9016e-06 - val_loss: -52.8093 - val_risk_out_loss: -52.8093\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 322us/step - loss: 6.3700e-06 - risk_out_loss: 6.3700e-06 - val_loss: -52.7682 - val_risk_out_loss: -52.7682\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 345us/step - loss: 6.1866e-06 - risk_out_loss: 6.1866e-06 - val_loss: -52.7261 - val_risk_out_loss: -52.7261\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 356us/step - loss: 5.7070e-05 - risk_out_loss: 5.7070e-05 - val_loss: -52.6864 - val_risk_out_loss: -52.6864\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 310us/step - loss: 3.3873e-06 - risk_out_loss: 3.3873e-06 - val_loss: -52.6530 - val_risk_out_loss: -52.6530\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 368us/step - loss: 3.3612e-04 - risk_out_loss: 3.3612e-04 - val_loss: -52.6143 - val_risk_out_loss: -52.6143\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 287us/step - loss: 2.1012e-06 - risk_out_loss: 2.1012e-06 - val_loss: -52.5854 - val_risk_out_loss: -52.5854\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 287us/step - loss: 4.2881e-06 - risk_out_loss: 4.2881e-06 - val_loss: -52.5471 - val_risk_out_loss: -52.5471\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 310us/step - loss: 1.1161e-06 - risk_out_loss: 1.1161e-06 - val_loss: -52.5100 - val_risk_out_loss: -52.5100\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 287us/step - loss: 2.3758e-06 - risk_out_loss: 2.3758e-06 - val_loss: -52.4779 - val_risk_out_loss: -52.4779\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 310us/step - loss: 4.5381e-06 - risk_out_loss: 4.5381e-06 - val_loss: -52.4496 - val_risk_out_loss: -52.4496\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 322us/step - loss: 1.3240e-05 - risk_out_loss: 1.3240e-05 - val_loss: -52.4125 - val_risk_out_loss: -52.4125\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 299us/step - loss: 0.0028 - risk_out_loss: 0.0028 - val_loss: -52.3677 - val_risk_out_loss: -52.3677\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 333us/step - loss: 5.1172e-07 - risk_out_loss: 5.1172e-07 - val_loss: -52.3230 - val_risk_out_loss: -52.3230\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 333us/step - loss: 1.2840e-06 - risk_out_loss: 1.2840e-06 - val_loss: -52.2744 - val_risk_out_loss: -52.2744\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 299us/step - loss: 0.0080 - risk_out_loss: 0.0080 - val_loss: -52.3188 - val_risk_out_loss: -52.3188\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 310us/step - loss: 1.4531e-05 - risk_out_loss: 1.4531e-05 - val_loss: -52.3501 - val_risk_out_loss: -52.3501\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 322us/step - loss: 3.9228e-06 - risk_out_loss: 3.9228e-06 - val_loss: -52.3807 - val_risk_out_loss: -52.3807\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 322us/step - loss: 1.6041e-06 - risk_out_loss: 1.6041e-06 - val_loss: -52.4106 - val_risk_out_loss: -52.4106\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 345us/step - loss: 2.7195e-06 - risk_out_loss: 2.7195e-06 - val_loss: -52.4287 - val_risk_out_loss: -52.4287\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 310us/step - loss: 6.3972e-07 - risk_out_loss: 6.3972e-07 - val_loss: -52.4366 - val_risk_out_loss: -52.4366\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 299us/step - loss: 1.0697e-06 - risk_out_loss: 1.0697e-06 - val_loss: -52.4498 - val_risk_out_loss: -52.4498\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 333us/step - loss: 1.3424e-06 - risk_out_loss: 1.3424e-06 - val_loss: -52.4694 - val_risk_out_loss: -52.4694\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 322us/step - loss: 5.6300e-07 - risk_out_loss: 5.6300e-07 - val_loss: -52.4763 - val_risk_out_loss: -52.4763\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 356us/step - loss: 1.1698e-05 - risk_out_loss: 1.1698e-05 - val_loss: -52.4846 - val_risk_out_loss: -52.4846\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 356us/step - loss: 1.3017e-05 - risk_out_loss: 1.3017e-05 - val_loss: -52.4923 - val_risk_out_loss: -52.4923\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 322us/step - loss: 5.5443e-07 - risk_out_loss: 5.5443e-07 - val_loss: -52.4979 - val_risk_out_loss: -52.4979\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 276us/step - loss: 1.3874e-05 - risk_out_loss: 1.3874e-05 - val_loss: -52.5024 - val_risk_out_loss: -52.5024\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 391us/step - loss: 2.0251e-07 - risk_out_loss: 2.0251e-07 - val_loss: -52.5067 - val_risk_out_loss: -52.5067\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 379us/step - loss: 5.0561e-06 - risk_out_loss: 5.0561e-06 - val_loss: -52.5128 - val_risk_out_loss: -52.5128\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 345us/step - loss: 3.2154e-07 - risk_out_loss: 3.2154e-07 - val_loss: -52.5155 - val_risk_out_loss: -52.5155\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 356us/step - loss: 1.9123e-07 - risk_out_loss: 1.9123e-07 - val_loss: -52.5188 - val_risk_out_loss: -52.5188\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 379us/step - loss: 0.0156 - risk_out_loss: 0.0156 - val_loss: -52.4182 - val_risk_out_loss: -52.4182\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 345us/step - loss: 8.0816e-07 - risk_out_loss: 8.0816e-07 - val_loss: -52.2934 - val_risk_out_loss: -52.2934\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 345us/step - loss: 1.5814e-05 - risk_out_loss: 1.5814e-05 - val_loss: -52.1632 - val_risk_out_loss: -52.1632\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 322us/step - loss: 6.5165e-04 - risk_out_loss: 6.5165e-04 - val_loss: -52.0162 - val_risk_out_loss: -52.0162\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 299us/step - loss: 0.0054 - risk_out_loss: 0.0054 - val_loss: -51.7962 - val_risk_out_loss: -51.7962\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 391us/step - loss: 4.3382e-07 - risk_out_loss: 4.3382e-07 - val_loss: -51.5693 - val_risk_out_loss: -51.5693\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 345us/step - loss: 3.6626e-07 - risk_out_loss: 3.6626e-07 - val_loss: -51.3048 - val_risk_out_loss: -51.3048\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 368us/step - loss: 1.1585e-07 - risk_out_loss: 1.1585e-07 - val_loss: -51.0206 - val_risk_out_loss: -51.0206\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 299us/step - loss: 5.5608e-07 - risk_out_loss: 5.5608e-07 - val_loss: -50.7202 - val_risk_out_loss: -50.7202\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 345us/step - loss: 7.3844e-05 - risk_out_loss: 7.3844e-05 - val_loss: -50.4417 - val_risk_out_loss: -50.4417\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 310us/step - loss: 1.2553e-06 - risk_out_loss: 1.2553e-06 - val_loss: -50.1738 - val_risk_out_loss: -50.1738\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 287us/step - loss: 3.7874e-07 - risk_out_loss: 3.7874e-07 - val_loss: -49.9175 - val_risk_out_loss: -49.9175\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 345us/step - loss: 1.0043e-04 - risk_out_loss: 1.0043e-04 - val_loss: -49.6911 - val_risk_out_loss: -49.6911\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 299us/step - loss: 8.1491e-07 - risk_out_loss: 8.1491e-07 - val_loss: -49.4763 - val_risk_out_loss: -49.4763\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 368us/step - loss: 1.7922e-06 - risk_out_loss: 1.7922e-06 - val_loss: -49.2775 - val_risk_out_loss: -49.2775\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 345us/step - loss: 8.8876e-06 - risk_out_loss: 8.8876e-06 - val_loss: -49.0889 - val_risk_out_loss: -49.0889\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 448us/step - loss: 0.0769 - risk_out_loss: 0.0769 - val_loss: -49.8099 - val_risk_out_loss: -49.8099\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 322us/step - loss: 0.0014 - risk_out_loss: 0.0014 - val_loss: -50.3963 - val_risk_out_loss: -50.3963\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 345us/step - loss: 1.1126e-07 - risk_out_loss: 1.1126e-07 - val_loss: -50.8251 - val_risk_out_loss: -50.8251\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 322us/step - loss: 5.4731e-07 - risk_out_loss: 5.4731e-07 - val_loss: -51.1591 - val_risk_out_loss: -51.1591\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 276us/step - loss: 5.9604e-07 - risk_out_loss: 5.9604e-07 - val_loss: -51.4055 - val_risk_out_loss: -51.4055\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 368us/step - loss: 3.5268e-07 - risk_out_loss: 3.5268e-07 - val_loss: -51.6003 - val_risk_out_loss: -51.6003\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 310us/step - loss: 2.3308e-05 - risk_out_loss: 2.3308e-05 - val_loss: -51.7514 - val_risk_out_loss: -51.7514\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 264us/step - loss: 5.2774e-07 - risk_out_loss: 5.2774e-07 - val_loss: -51.8688 - val_risk_out_loss: -51.8688\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 299us/step - loss: 1.0761e-06 - risk_out_loss: 1.0761e-06 - val_loss: -51.9633 - val_risk_out_loss: -51.9633\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 287us/step - loss: 2.7832e-07 - risk_out_loss: 2.7832e-07 - val_loss: -52.0420 - val_risk_out_loss: -52.0420\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 333us/step - loss: 1.8088e-07 - risk_out_loss: 1.8088e-07 - val_loss: -52.1102 - val_risk_out_loss: -52.1102\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 299us/step - loss: 6.7843e-07 - risk_out_loss: 6.7843e-07 - val_loss: -52.1701 - val_risk_out_loss: -52.1701\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 299us/step - loss: 9.7679e-06 - risk_out_loss: 9.7679e-06 - val_loss: -52.2112 - val_risk_out_loss: -52.2112\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 310us/step - loss: 3.6704e-07 - risk_out_loss: 3.6704e-07 - val_loss: -52.2510 - val_risk_out_loss: -52.2510\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 276us/step - loss: 1.7670e-04 - risk_out_loss: 1.7670e-04 - val_loss: -52.2848 - val_risk_out_loss: -52.2848\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 253us/step - loss: 3.5555e-06 - risk_out_loss: 3.5555e-06 - val_loss: -52.3161 - val_risk_out_loss: -52.3161\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 276us/step - loss: 6.8151e-06 - risk_out_loss: 6.8151e-06 - val_loss: -52.3374 - val_risk_out_loss: -52.3374\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 241us/step - loss: 4.3877e-04 - risk_out_loss: 4.3877e-04 - val_loss: -52.3574 - val_risk_out_loss: -52.3574\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 299us/step - loss: 4.1190e-07 - risk_out_loss: 4.1190e-07 - val_loss: -52.3755 - val_risk_out_loss: -52.3755\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 253us/step - loss: 1.1324e-06 - risk_out_loss: 1.1324e-06 - val_loss: -52.3880 - val_risk_out_loss: -52.3880\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 310us/step - loss: 5.7397e-07 - risk_out_loss: 5.7397e-07 - val_loss: -52.3989 - val_risk_out_loss: -52.3989\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 299us/step - loss: 1.4662e-06 - risk_out_loss: 1.4662e-06 - val_loss: -52.4089 - val_risk_out_loss: -52.4089\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 505us/step - loss: 3.8435e-07 - risk_out_loss: 3.8435e-07 - val_loss: -52.4185 - val_risk_out_loss: -52.4185\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 563us/step - loss: 2.2147e-06 - risk_out_loss: 2.2147e-06 - val_loss: -52.4271 - val_risk_out_loss: -52.4271\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 299us/step - loss: 9.1981e-07 - risk_out_loss: 9.1981e-07 - val_loss: -52.4349 - val_risk_out_loss: -52.4349\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 314us/step - loss: 4.9843e-06 - risk_out_loss: 4.9843e-06 - val_loss: -52.4445 - val_risk_out_loss: -52.4445\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 345us/step - loss: 3.1332e-05 - risk_out_loss: 3.1332e-05 - val_loss: -52.4504 - val_risk_out_loss: -52.4504\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 379us/step - loss: 9.1524e-07 - risk_out_loss: 9.1524e-07 - val_loss: -52.4561 - val_risk_out_loss: -52.4561\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 345us/step - loss: 2.4884e-07 - risk_out_loss: 2.4884e-07 - val_loss: -52.4617 - val_risk_out_loss: -52.4617\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 264us/step - loss: 3.3122e-07 - risk_out_loss: 3.3122e-07 - val_loss: -52.4667 - val_risk_out_loss: -52.4667\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 333us/step - loss: 9.4357e-07 - risk_out_loss: 9.4357e-07 - val_loss: -52.4702 - val_risk_out_loss: -52.4702\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 391us/step - loss: 5.3932e-05 - risk_out_loss: 5.3932e-05 - val_loss: -52.4720 - val_risk_out_loss: -52.4720\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 402us/step - loss: 2.5953e-06 - risk_out_loss: 2.5953e-06 - val_loss: -52.4759 - val_risk_out_loss: -52.4759\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 322us/step - loss: 4.1280e-06 - risk_out_loss: 4.1280e-06 - val_loss: -52.4778 - val_risk_out_loss: -52.4778\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 299us/step - loss: 1.4671e-05 - risk_out_loss: 1.4671e-05 - val_loss: -52.4795 - val_risk_out_loss: -52.4795\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 299us/step - loss: 4.4875e-06 - risk_out_loss: 4.4875e-06 - val_loss: -52.4807 - val_risk_out_loss: -52.4807\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 368us/step - loss: 2.2549e-07 - risk_out_loss: 2.2549e-07 - val_loss: -52.4816 - val_risk_out_loss: -52.4816\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 310us/step - loss: 8.2619e-07 - risk_out_loss: 8.2619e-07 - val_loss: -52.4826 - val_risk_out_loss: -52.4826\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 264us/step - loss: 2.5065e-07 - risk_out_loss: 2.5065e-07 - val_loss: -52.4834 - val_risk_out_loss: -52.4834\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 287us/step - loss: 5.0306e-07 - risk_out_loss: 5.0306e-07 - val_loss: -52.4846 - val_risk_out_loss: -52.4846\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 333us/step - loss: 1.0977e-06 - risk_out_loss: 1.0977e-06 - val_loss: -52.4855 - val_risk_out_loss: -52.4855\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 322us/step - loss: 1.2735e-05 - risk_out_loss: 1.2735e-05 - val_loss: -52.4880 - val_risk_out_loss: -52.4880\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 299us/step - loss: 3.5948e-07 - risk_out_loss: 3.5948e-07 - val_loss: -52.4925 - val_risk_out_loss: -52.4925\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 276us/step - loss: 2.3329e-07 - risk_out_loss: 2.3329e-07 - val_loss: -52.4930 - val_risk_out_loss: -52.4930\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 299us/step - loss: 1.3466e-06 - risk_out_loss: 1.3466e-06 - val_loss: -52.4934 - val_risk_out_loss: -52.4934\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 287us/step - loss: 1.1010e-06 - risk_out_loss: 1.1010e-06 - val_loss: -52.4939 - val_risk_out_loss: -52.4939\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 368us/step - loss: 8.8021e-06 - risk_out_loss: 8.8021e-06 - val_loss: -52.4943 - val_risk_out_loss: -52.4943\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 333us/step - loss: 2.1261e-06 - risk_out_loss: 2.1261e-06 - val_loss: -52.4944 - val_risk_out_loss: -52.4944\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 276us/step - loss: 5.0815e-07 - risk_out_loss: 5.0815e-07 - val_loss: -52.4951 - val_risk_out_loss: -52.4951\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 299us/step - loss: 2.7268e-06 - risk_out_loss: 2.7268e-06 - val_loss: -52.4952 - val_risk_out_loss: -52.4952\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 287us/step - loss: 1.6726e-05 - risk_out_loss: 1.6726e-05 - val_loss: -52.4955 - val_risk_out_loss: -52.4955\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 253us/step - loss: 1.7184e-07 - risk_out_loss: 1.7184e-07 - val_loss: -52.4955 - val_risk_out_loss: -52.4955\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 253us/step - loss: 3.4764e-07 - risk_out_loss: 3.4764e-07 - val_loss: -52.4965 - val_risk_out_loss: -52.4965\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 287us/step - loss: 2.0242e-07 - risk_out_loss: 2.0242e-07 - val_loss: -52.4966 - val_risk_out_loss: -52.4966\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 264us/step - loss: 8.6265e-07 - risk_out_loss: 8.6265e-07 - val_loss: -52.4970 - val_risk_out_loss: -52.4970\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 322us/step - loss: 2.8774e-07 - risk_out_loss: 2.8774e-07 - val_loss: -52.4971 - val_risk_out_loss: -52.4971\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 345us/step - loss: 2.4469e-06 - risk_out_loss: 2.4469e-06 - val_loss: -52.4976 - val_risk_out_loss: -52.4976\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 356us/step - loss: 8.8723e-05 - risk_out_loss: 8.8723e-05 - val_loss: -52.4976 - val_risk_out_loss: -52.4976\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 310us/step - loss: 4.8937e-07 - risk_out_loss: 4.8937e-07 - val_loss: -52.4975 - val_risk_out_loss: -52.4975\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 333us/step - loss: 1.5733e-06 - risk_out_loss: 1.5733e-06 - val_loss: -52.4975 - val_risk_out_loss: -52.4975\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 356us/step - loss: 2.3642e-05 - risk_out_loss: 2.3642e-05 - val_loss: -52.4970 - val_risk_out_loss: -52.4970\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 345us/step - loss: 2.4987e-06 - risk_out_loss: 2.4987e-06 - val_loss: -52.4967 - val_risk_out_loss: -52.4967\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 402us/step - loss: 1.1694e-05 - risk_out_loss: 1.1694e-05 - val_loss: -52.4966 - val_risk_out_loss: -52.4966\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 391us/step - loss: 1.0174e-04 - risk_out_loss: 1.0174e-04 - val_loss: -52.4958 - val_risk_out_loss: -52.4958\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 391us/step - loss: 4.7226e-07 - risk_out_loss: 4.7226e-07 - val_loss: -52.4945 - val_risk_out_loss: -52.4945\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 379us/step - loss: 3.0642e-06 - risk_out_loss: 3.0642e-06 - val_loss: -52.4940 - val_risk_out_loss: -52.4940\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 356us/step - loss: 2.8890e-04 - risk_out_loss: 2.8890e-04 - val_loss: -52.4925 - val_risk_out_loss: -52.4925\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 345us/step - loss: 8.0820e-07 - risk_out_loss: 8.0820e-07 - val_loss: -52.4908 - val_risk_out_loss: -52.4908\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 333us/step - loss: 3.5640e-07 - risk_out_loss: 3.5640e-07 - val_loss: -52.4896 - val_risk_out_loss: -52.4896\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 368us/step - loss: 3.1356e-07 - risk_out_loss: 3.1356e-07 - val_loss: -52.4816 - val_risk_out_loss: -52.4816\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 310us/step - loss: 8.6643e-07 - risk_out_loss: 8.6643e-07 - val_loss: -52.4809 - val_risk_out_loss: -52.4809\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 356us/step - loss: 5.2837e-06 - risk_out_loss: 5.2837e-06 - val_loss: -52.4772 - val_risk_out_loss: -52.4772\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 356us/step - loss: 1.0363e-05 - risk_out_loss: 1.0363e-05 - val_loss: -52.4749 - val_risk_out_loss: -52.4749\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 356us/step - loss: 1.7818e-07 - risk_out_loss: 1.7818e-07 - val_loss: -52.4741 - val_risk_out_loss: -52.4741\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 310us/step - loss: 8.1527e-07 - risk_out_loss: 8.1527e-07 - val_loss: -52.4737 - val_risk_out_loss: -52.4737\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 299us/step - loss: 5.7317e-06 - risk_out_loss: 5.7317e-06 - val_loss: -52.4732 - val_risk_out_loss: -52.4732\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 299us/step - loss: 2.9066e-06 - risk_out_loss: 2.9066e-06 - val_loss: -52.4726 - val_risk_out_loss: -52.4726\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 287us/step - loss: 4.2192e-06 - risk_out_loss: 4.2192e-06 - val_loss: -52.4719 - val_risk_out_loss: -52.4719\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 299us/step - loss: 2.2461e-05 - risk_out_loss: 2.2461e-05 - val_loss: -52.4714 - val_risk_out_loss: -52.4714\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 264us/step - loss: 1.5839e-06 - risk_out_loss: 1.5839e-06 - val_loss: -52.4707 - val_risk_out_loss: -52.4707\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 287us/step - loss: 1.7208e-06 - risk_out_loss: 1.7208e-06 - val_loss: -52.4697 - val_risk_out_loss: -52.4697\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 333us/step - loss: 1.3051e-06 - risk_out_loss: 1.3051e-06 - val_loss: -52.4689 - val_risk_out_loss: -52.4689\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 322us/step - loss: 9.6200e-07 - risk_out_loss: 9.6200e-07 - val_loss: -52.4687 - val_risk_out_loss: -52.4687\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 310us/step - loss: 8.3357e-07 - risk_out_loss: 8.3357e-07 - val_loss: -52.4638 - val_risk_out_loss: -52.4638\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 310us/step - loss: 0.0062 - risk_out_loss: 0.0062 - val_loss: -52.4161 - val_risk_out_loss: -52.4161\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 391us/step - loss: 1.1976e-07 - risk_out_loss: 1.1976e-07 - val_loss: -52.3692 - val_risk_out_loss: -52.3692\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 368us/step - loss: 4.4534e-04 - risk_out_loss: 4.4534e-04 - val_loss: -52.3175 - val_risk_out_loss: -52.3175\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 322us/step - loss: 6.8406e-06 - risk_out_loss: 6.8406e-06 - val_loss: -52.2748 - val_risk_out_loss: -52.2748\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 322us/step - loss: 3.8159e-04 - risk_out_loss: 3.8159e-04 - val_loss: -52.2214 - val_risk_out_loss: -52.2214\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 345us/step - loss: 2.2737e-07 - risk_out_loss: 2.2737e-07 - val_loss: -52.1766 - val_risk_out_loss: -52.1766\n",
      "Train on 85 samples, validate on 1000 samples\n",
      "Epoch 1/1\n",
      "85/85 [==============================] - 0s 287us/step - loss: 1.3919e-06 - risk_out_loss: 1.3919e-06 - val_loss: -52.1319 - val_risk_out_loss: -52.1319\n",
      "10000/10000 [==============================] - 1s 70us/step\n",
      "metric names: ['loss', 'risk_out_loss']\n",
      "[0.0024575111451759085, 0.0024575111451759085]\n"
     ]
    }
   ],
   "source": [
    "##### compile and train\n",
    "\n",
    "aux_model.compile(optimizer='adam',\n",
    "                  loss={'risk_out': 'binary_crossentropy'})\n",
    "print(aux_model.summary())\n",
    "\n",
    "epochs = 5\n",
    "batch_size = 128\n",
    "\n",
    "for epoch in range(epochs):\n",
    "    for batch in batches:\n",
    "        bx, by = batch\n",
    "        aux_model.fit(bx,\n",
    "                      {'risk_out': by},\n",
    "                      batch_size=batch_size,\n",
    "                      validation_data = (mnist_test_x[:1000], {'risk_out':mnist_test_y[:1000]}),\n",
    "                      verbose=1)\n",
    "\n",
    "len_testset = mnist_test_x.shape[0]\n",
    "test_result = aux_model.evaluate(x=mnist_test_x,\n",
    "                                 y=np.ones(shape=(len_testset, 1)))\n",
    "\n",
    "print(\"metric names:\", aux_model.metrics_names)\n",
    "print(test_result)\n",
    "\n",
    "# # Save model\n",
    "# save_model(aux_model, \"./mnist_abnormal.hdf5\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 4. Testrun"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Last, we run few tests based on in and out distribution data."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "##### 4.1. In Distribution Case"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [],
   "source": [
    "single_mnist_test = np.reshape(mnist_test_x[0], (28, 28))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "image label: 7\n"
     ]
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x26911680320>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "print('image label:', mnist_test_y[0])\n",
    "plt.imshow(single_mnist_test)\n",
    "plt.show()\n",
    "plt.close()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [],
   "source": [
    "result_in = aux_model.predict(np.reshape(single_mnist_test, (1,single_mnist_test.ravel().shape[0])))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "The succ/failure classification: [7]\n",
      "Softmax probability of in distribution: 1.00\n"
     ]
    }
   ],
   "source": [
    "def softmax(x):\n",
    "    \"\"\"Compute softmax values for each sets of scores in x.\"\"\"\n",
    "    e_x = np.exp(x - np.max(x))\n",
    "    return e_x / e_x.sum()\n",
    "\n",
    "max_index = [i[0] for i in enumerate(softmax(result_in[0])[0] == max(softmax(result_in[0])[0])) if i[1]]\n",
    "\n",
    "print('The succ/failure classification:', max_index)\n",
    "print('Softmax probability of in distribution:', format(result_in[1][0][0], '.2f'))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "The above 'succ/failure classification' shows the predicted result of the input by using the model, and softmax probability indicates the possibility that the given image is in-distribution."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "##### 4.2. Out Distribution Case"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "To create out-distribution images for testing, we bring a filter from other module and observe results by changing parameters of the filter:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [],
   "source": [
    "from skimage.filters import gaussian\n",
    "\n",
    "def add_distortion_softblur(img):\n",
    "    image = img.reshape((-1, 28, 28))\n",
    "    return gaussian(image, sigma=5*distortion).reshape((-1, 28*28))\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We can check our results while changing parameter values for our noise function."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "image label: 7\n"
     ]
    },
    {
     "data": {
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      "text/plain": [
       "<matplotlib.figure.Figure at 0x26ba1c7fc50>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[array([[5.3739539e-12, 1.5170517e-08, 6.4742101e-11, 8.8154692e-11,\n",
      "        1.1466004e-10, 1.0476074e-11, 7.9235816e-15, 1.0000000e+00,\n",
      "        2.7970399e-13, 1.5669855e-08]], dtype=float32), array([[1.]], dtype=float32)]\n",
      "The succ/failure classification: [7]\n",
      "Softmax probability of in/out distribution: 1.00\n",
      "image label: 7\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x26ba1ec2668>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[array([[2.0786545e-05, 5.5180758e-04, 1.0636151e-04, 2.9137399e-04,\n",
      "        8.6938984e-05, 4.1570176e-05, 1.5937619e-06, 9.9767345e-01,\n",
      "        3.1323951e-05, 1.1947586e-03]], dtype=float32), array([[0.9998425]], dtype=float32)]\n",
      "The succ/failure classification: [7]\n",
      "Softmax probability of in/out distribution: 1.00\n",
      "image label: 7\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x26ba1f30518>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[array([[7.1424182e-04, 4.4230507e-03, 2.5249557e-03, 9.0395631e-03,\n",
      "        1.4102244e-03, 1.2728804e-03, 1.0050004e-04, 9.6313196e-01,\n",
      "        1.8649880e-03, 1.5517596e-02]], dtype=float32), array([[0.95863146]], dtype=float32)]\n",
      "The succ/failure classification: [7]\n",
      "Softmax probability of in/out distribution: 0.96\n",
      "image label: 7\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x26ba1f85518>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[array([[0.01480253, 0.026501  , 0.03034827, 0.10566356, 0.01589542,\n",
      "        0.01847474, 0.00382224, 0.6126952 , 0.06268178, 0.10911532]],\n",
      "      dtype=float32), array([[0.03011689]], dtype=float32)]\n",
      "The succ/failure classification: [7]\n",
      "Softmax probability of in/out distribution: 0.03\n",
      "image label: 7\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x26bbb0e0908>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[array([[0.08264706, 0.03373931, 0.07950461, 0.0997021 , 0.04902611,\n",
      "        0.04491843, 0.03902869, 0.05185422, 0.38716674, 0.13241266]],\n",
      "      dtype=float32), array([[5.231585e-07]], dtype=float32)]\n",
      "The succ/failure classification: [8]\n",
      "Softmax probability of in/out distribution: 0.00\n",
      "image label: 7\n"
     ]
    },
    {
     "data": {
      "image/png": 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9AN9y9z8C8GcAvmFm1wG4G8CT7n4tgCeH34vIh0SY/O5+1t2fG37dBPASgKsB3A7g5PBuJwHcMa1Bisjk7elvfjO7BsBnATwN4Cp3Pwtsv0AAODjpwYnI9Iyc/GZ2AMDPAXzT3df3cNwxMztlZqd66IwzRhGZgpGS38xq2E78H7n7L4Y3r5nZoWH8EIBzux3r7sfdfdXdV2vgzR5FZHbC5DczA/AAgJfc/bs7Qo8CODr8+iiARyY/PBGZllGW9N4E4CsAXjCz54e33QPgPgA/M7OvAngdwJemM8QRhUt2+euck1IewMt5g1pQyuMVqXDJr1V52alGWndnQTv0qJS3MeCf1jaD+FrrssLYO5u8lNfZ4Oeuhe23WSxozb3BlzpHS3bBluwCfNkuW7ILALTUN3qtL0x+d/8lineQ/9zIVxKRhaIZfiKJUvKLJErJL5IoJb9IopT8IolS8osk6kPVunt7vtHeYwDgUbxEa++yW3Qj47VZC+JMP+ev75v9oI4fzMq82OPts1n77fWNZXpsts6fnrV1/jurkWW7pZfsbvE6frjNNqnz8y24AR8Uj30vzxS984skSskvkiglv0iilPwiiVLyiyRKyS+SKCW/SKIWqs4f1eqDg8vFo7bhJOwlhj0Kz/kFuv3iiQSbPV6nz52//veD+IU2r9Wz9tuDdd72u05abwNArUnDqJM1+7UmX6+fbY3fehsAvBut5y+u5dPW3FFcW3SLSETJL5IoJb9IopT8IolS8oskSskvkiglv0iiZlvnN8CiejpT5thIHtRHSdj40vA43gt6CXR4Q4BWp7hefj7oBVCt8Joym0MAAJstPo+gc6F4vX/1Aj93PVivH22zXdsofuArW8F6/aCOj27Qtz+I0zX74XMxeEKNSO/8IolS8oskSskvkiglv0iilPwiiVLyiyRKyS+SqLDOb2aHATwI4GMAcgDH3f1+M7sXwNcAvDW86z3u/hg9mQPOapjBWmQrcWypcwOwQXE86/NjKx1er47igxZ/jW5Xi+v8/R6vpZvxsQ/6/Nr5Zo3Gq+vF169fDOr4F/nY6k1e765tFNfSK1Hf/Wi9fieIh733i+dXROv5J2WUST59AN9y9+fMbAXAs2b2xDD2PXf/h+kNT0SmJUx+dz8L4Ozw66aZvQTg6mkPTESma09/85vZNQA+C+Dp4U13mdmvzOyEmV1ecMwxMztlZqd66JQarIhMzsjJb2YHAPwcwDfdfR3A9wF8BsAN2P5k8J3djnP34+6+6u6rtWDfNxGZnZGS38xq2E78H7n7LwDA3dfcfeDuOYAfALhxesMUkUkLk9+2W+o+AOAld//ujtsP7bjbFwG8OPnhici0jPKv/TcB+AqAF8zs+eFt9wA4YmY3YHux62kAX5/KCHdwVq6LSnlkW2MAsD6PV7rF8WonWDbbCuJbwZLeatBee1Bcbus3ov3BuazLr11rBe21ybLcxrv8cWmEpT5eEqtuFJfjrBUs2W0H/z7VC46PynW0/XawZHcP7bmZUf61/5fYvWs9r+mLyELTDD+RRCn5RRKl5BdJlJJfJFFKfpFEKflFErVQW3SHLYtzUv+M6qpkS2QAsF6wZXOnOF7d4rX0Wp3XwvPgt2DBFt0ZWRLs1XLtzrMuP77a4sfXSHvtxnpU5w/q+E3eHjsjy3atxev43gtabwfPpzBeZnn6hOidXyRRSn6RRCn5RRKl5BdJlJJfJFFKfpFEKflFEmV0jfykL2b2FoDXdtx0JYC3ZzaAvVnUsS3quACNbVyTHNun3P2jo9xxpsn/gYubnXL31bkNgFjUsS3quACNbVzzGps+9oskSskvkqh5J//xOV+fWdSxLeq4AI1tXHMZ21z/5heR+Zn3O7+IzMlckt/MbjOz/zGzV8zs7nmMoYiZnTazF8zseTM7NeexnDCzc2b24o7brjCzJ8zs5eH/d90mbU5ju9fM3hg+ds+b2V/NaWyHzezfzewlM/u1mf3N8Pa5PnZkXHN53Gb+sd/MKgD+F8AtAM4AeAbAEXf/r5kOpICZnQaw6u5zrwmb2V8A2ADwoLtfP7zt7wGcd/f7hi+cl7v73y7I2O4FsDHvnZuHG8oc2rmzNIA7APw15vjYkXHdiTk8bvN4578RwCvu/qq7dwH8BMDtcxjHwnP3pwCcf9/NtwM4Ofz6JLafPDNXMLaF4O5n3f254ddNAJd2lp7rY0fGNRfzSP6rAfxmx/dnsFhbfjuAx83sWTM7Nu/B7OKq4bbpl7ZPPzjn8bxfuHPzLL1vZ+mFeezG2fF60uaR/Lv1hVqkksNN7v4nAD4P4BvDj7cympF2bp6VXXaWXgjj7ng9afNI/jMADu/4/hMA3pzDOHbl7m8O/38OwMNYvN2H1y5tkjr8/7k5j+d3Fmnn5t12lsYCPHaLtOP1PJL/GQDXmtmnzawO4MsAHp3DOD7AzPYP/yEGZrYfwK1YvN2HHwVwdPj1UQCPzHEs77EoOzcX7SyNOT92i7bj9Vwm+QxLGf8IoALghLv/3cwHsQsz+wNsv9sD252NfzzPsZnZQwBuxvaqrzUA3wbwLwB+BuCTAF4H8CV3n/k/vBWM7WZsf3T93c7Nl/7GnvHY/hzAfwB4AcClls/3YPvv67k9dmRcRzCHx00z/EQSpRl+IolS8oskSskvkiglv0iilPwiiVLyiyRKyS+SKCW/SKL+H+qZOLLjPsQfAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x26bbb101a20>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[array([[0.07924011, 0.0376715 , 0.07038539, 0.07886172, 0.05829567,\n",
      "        0.05423137, 0.0580996 , 0.03799337, 0.40958184, 0.11563942]],\n",
      "      dtype=float32), array([[2.1214584e-07]], dtype=float32)]\n",
      "The succ/failure classification: [8]\n",
      "Softmax probability of in/out distribution: 0.00\n",
      "image label: 7\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x26bbb19fa20>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[array([[0.07243562, 0.03879851, 0.06830918, 0.07663717, 0.05810421,\n",
      "        0.06049174, 0.06260972, 0.03638807, 0.42108297, 0.10514283]],\n",
      "      dtype=float32), array([[1.9225917e-07]], dtype=float32)]\n",
      "The succ/failure classification: [8]\n",
      "Softmax probability of in/out distribution: 0.00\n",
      "image label: 7\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x26bbb1ef828>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[array([[0.07082976, 0.04087324, 0.06256034, 0.07223693, 0.0620808 ,\n",
      "        0.06856719, 0.07389836, 0.03543616, 0.4169193 , 0.09659784]],\n",
      "      dtype=float32), array([[1.6975052e-07]], dtype=float32)]\n",
      "The succ/failure classification: [8]\n",
      "Softmax probability of in/out distribution: 0.00\n",
      "image label: 7\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x26bbb24acf8>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[array([[0.01915262, 0.02942235, 0.0372403 , 0.12643056, 0.0190724 ,\n",
      "        0.02316352, 0.00535171, 0.5286106 , 0.08918785, 0.12236806]],\n",
      "      dtype=float32), array([[0.00789543]], dtype=float32)]\n",
      "The succ/failure classification: [7]\n",
      "Softmax probability of in/out distribution: 0.01\n",
      "image label: 7\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x26bbb2b1588>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[array([[0.07986386, 0.04447575, 0.05633915, 0.06056412, 0.0680196 ,\n",
      "        0.08415487, 0.10556111, 0.0320507 , 0.38979512, 0.0791757 ]],\n",
      "      dtype=float32), array([[1.9396083e-07]], dtype=float32)]\n",
      "The succ/failure classification: [8]\n",
      "Softmax probability of in/out distribution: 0.00\n"
     ]
    }
   ],
   "source": [
    "for i in np.arange(0, 2, 0.2):\n",
    "\n",
    "    distortion = np.random.uniform(low=0.4, high= i)\n",
    "\n",
    "    single_mnist_out_test = np.reshape(add_distortion_softblur(mnist_test_x[0]), (28, 28))\n",
    "\n",
    "    ##### printing original image\n",
    "    \n",
    "    print('image label:', mnist_test_y[0])\n",
    "    plt.imshow(single_mnist_out_test)\n",
    "    plt.show()\n",
    "    plt.close()\n",
    "\n",
    "    result_out = aux_model.predict(np.reshape(single_mnist_out_test, (1,single_mnist_out_test.ravel().shape[0])))\n",
    "    print(result_out)\n",
    "\n",
    "    max_index = [i[0] for i in enumerate(softmax(result_out[0])[0] == max(softmax(result_out[0])[0])) if i[1]]\n",
    "\n",
    "    ##### printing succ/fail classification and in/out classification probability result\n",
    "    print('The succ/failure classification:', max_index)\n",
    "    print('Softmax probability of in/out distribution:', format(result_out[1][0][0], '.2f'))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Although we derive a model that works in somewhat way, it is quite sensitive (The in/out probability is near either 0 or 1). In my opinion, this is also a result of high confidence issue of softmax function (which I applied at the end) mentioned in the paper. "
   ]
  }
 ],
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  "kernelspec": {
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   "language": "python",
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    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.6.4"
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 },
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}