added missing test split to binary classification example

uclamii · Aug 27, 2024 · 7bcb3d9 · 7bcb3d9
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diff --git a/docs/.doctrees/environment.pickle b/docs/.doctrees/environment.pickle
diff --git a/docs/.doctrees/usage_guide.doctree b/docs/.doctrees/usage_guide.doctree
diff --git 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
@@ -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
@@ -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(