From 7bcb3d94ada7ba4fd981a8aa12576366768da9f1 Mon Sep 17 00:00:00 2001
From: lshpaner <lshpaner@ucla.edu>
Date: Tue, 27 Aug 2024 09:52:52 -0700
Subject: [PATCH] added missing test split to binary classification example

---
 docs/.doctrees/environment.pickle  | Bin 3746144 -> 3746242 bytes
 docs/.doctrees/usage_guide.doctree | Bin 166083 -> 166181 bytes
 docs/_sources/usage_guide.rst.txt  |   1 +
 docs/usage_guide.html              |   1 +
 source/usage_guide.rst             |   1 +
 5 files changed, 3 insertions(+)

diff --git a/docs/.doctrees/environment.pickle b/docs/.doctrees/environment.pickle
index 306a132aed6ccaffb50d0bf2a21c5c5c1e9edfd3..a5108316342f72ab29e7c0abed21fa8083f5b838 100644
GIT binary patch
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diff --git a/docs/.doctrees/usage_guide.doctree b/docs/.doctrees/usage_guide.doctree
index 07d423eb4dd1bddeb2c23b26955c3cb731a0c305..8f7238a787fbc44fce2d3ebae2b992f75bc47f10 100644
GIT binary patch
delta 620
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diff --git a/docs/_sources/usage_guide.rst.txt b/docs/_sources/usage_guide.rst.txt
index ad7eeb0..a3041ad 100644
--- a/docs/_sources/usage_guide.rst.txt
+++ b/docs/_sources/usage_guide.rst.txt
@@ -619,6 +619,7 @@ Step 8: Fit the Model
    # Get the training and validation data
    X_train, y_train = model_tuner.get_train_data(X, y)
    X_valid, y_valid = model_tuner.get_valid_data(X, y)
+   X_test, y_test = model_tuner.get_test_data(X, y)
 
    # Fit the model with the validation data
    model_tuner.fit(
diff --git a/docs/usage_guide.html b/docs/usage_guide.html
index a38ab99..ca7d8db 100644
--- a/docs/usage_guide.html
+++ b/docs/usage_guide.html
@@ -607,6 +607,7 @@ <h3>Step 8: Fit the Model<a class="headerlink" href="#step-8-fit-the-model" titl
 <div class="highlight-python notranslate"><div class="highlight"><pre><span></span><span class="c1"># Get the training and validation data</span>
 <span class="n">X_train</span><span class="p">,</span> <span class="n">y_train</span> <span class="o">=</span> <span class="n">model_tuner</span><span class="o">.</span><span class="n">get_train_data</span><span class="p">(</span><span class="n">X</span><span class="p">,</span> <span class="n">y</span><span class="p">)</span>
 <span class="n">X_valid</span><span class="p">,</span> <span class="n">y_valid</span> <span class="o">=</span> <span class="n">model_tuner</span><span class="o">.</span><span class="n">get_valid_data</span><span class="p">(</span><span class="n">X</span><span class="p">,</span> <span class="n">y</span><span class="p">)</span>
+<span class="n">X_test</span><span class="p">,</span> <span class="n">y_test</span> <span class="o">=</span> <span class="n">model_tuner</span><span class="o">.</span><span class="n">get_test_data</span><span class="p">(</span><span class="n">X</span><span class="p">,</span> <span class="n">y</span><span class="p">)</span>
 
 <span class="c1"># Fit the model with the validation data</span>
 <span class="n">model_tuner</span><span class="o">.</span><span class="n">fit</span><span class="p">(</span>
diff --git a/source/usage_guide.rst b/source/usage_guide.rst
index ad7eeb0..a3041ad 100644
--- a/source/usage_guide.rst
+++ b/source/usage_guide.rst
@@ -619,6 +619,7 @@ Step 8: Fit the Model
    # Get the training and validation data
    X_train, y_train = model_tuner.get_train_data(X, y)
    X_valid, y_valid = model_tuner.get_valid_data(X, y)
+   X_test, y_test = model_tuner.get_test_data(X, y)
 
    # Fit the model with the validation data
    model_tuner.fit(