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diff --git a/examples/simulated_data/index.html b/examples/simulated_data/index.html
@@ -642,30 +642,7 @@
 
   <h1>Simulated Data</h1>
 
-<div class="highlight"><span class="filename">Python</span><pre><span></span><code><span class="kn">from</span> <span class="nn">sklearn.model_selection</span> <span class="kn">import</span> <span class="n">KFold</span><span class="p">,</span> <span class="n">ShuffleSplit</span>
-
-<span class="kn">from</span> <span class="nn">cpm</span> <span class="kn">import</span> <span class="n">CPMRegression</span>
-<span class="kn">from</span> <span class="nn">cpm.simulate_data</span> <span class="kn">import</span> <span class="n">simulate_regression_data</span>
-<span class="kn">from</span> <span class="nn">cpm.edge_selection</span> <span class="kn">import</span> <span class="n">PThreshold</span><span class="p">,</span> <span class="n">UnivariateEdgeSelection</span>
-
-
-<span class="n">X</span><span class="p">,</span> <span class="n">y</span><span class="p">,</span> <span class="n">covariates</span> <span class="o">=</span> <span class="n">simulate_regression_data</span><span class="p">(</span><span class="n">n_features</span><span class="o">=</span><span class="mi">1225</span><span class="p">,</span> <span class="n">n_informative_features</span><span class="o">=</span><span class="mi">50</span><span class="p">,</span>
-                                            <span class="n">covariate_effect_size</span><span class="o">=</span><span class="mf">0.2</span><span class="p">,</span>
-                                            <span class="n">feature_effect_size</span><span class="o">=</span><span class="mi">100</span><span class="p">,</span>
-                                            <span class="n">noise_level</span><span class="o">=</span><span class="mf">0.1</span><span class="p">)</span>
-
-<span class="n">univariate_edge_selection</span> <span class="o">=</span> <span class="n">UnivariateEdgeSelection</span><span class="p">(</span><span class="n">edge_statistic</span><span class="o">=</span><span class="p">[</span><span class="s1">&#39;pearson&#39;</span><span class="p">],</span>
-                                                    <span class="n">edge_selection</span><span class="o">=</span><span class="p">[</span><span class="n">PThreshold</span><span class="p">(</span><span class="n">threshold</span><span class="o">=</span><span class="p">[</span><span class="mf">0.05</span><span class="p">],</span>
-                                                                               <span class="n">correction</span><span class="o">=</span><span class="p">[</span><span class="kc">None</span><span class="p">])])</span>
-<span class="n">cpm</span> <span class="o">=</span> <span class="n">CPMRegression</span><span class="p">(</span><span class="n">results_directory</span><span class="o">=</span><span class="s1">&#39;./tmp/example_simulated_data2&#39;</span><span class="p">,</span>
-                    <span class="n">cv</span><span class="o">=</span><span class="n">KFold</span><span class="p">(</span><span class="n">n_splits</span><span class="o">=</span><span class="mi">5</span><span class="p">,</span> <span class="n">shuffle</span><span class="o">=</span><span class="kc">True</span><span class="p">,</span> <span class="n">random_state</span><span class="o">=</span><span class="mi">42</span><span class="p">),</span>
-                    <span class="n">edge_selection</span><span class="o">=</span><span class="n">univariate_edge_selection</span><span class="p">,</span>
-                    <span class="c1">#cv_edge_selection=ShuffleSplit(n_splits=1, test_size=0.2, random_state=42),</span>
-                    <span class="n">add_edge_filter</span><span class="o">=</span><span class="kc">True</span><span class="p">,</span>
-                    <span class="n">n_permutations</span><span class="o">=</span><span class="mi">10</span><span class="p">)</span>
-<span class="n">cpm</span><span class="o">.</span><span class="n">estimate</span><span class="p">(</span><span class="n">X</span><span class="o">=</span><span class="n">X</span><span class="p">,</span> <span class="n">y</span><span class="o">=</span><span class="n">y</span><span class="p">,</span> <span class="n">covariates</span><span class="o">=</span><span class="n">covariates</span><span class="p">)</span>
-
-<span class="c1">#cpm._calculate_permutation_results(&#39;./tmp/example_simulated_data2&#39;)</span>
+<div class="highlight"><span class="filename">Python</span><pre><span></span><code>
 </code></pre></div>