update the documentation

Author: KARTHEEKCIC

_modules/MRCpy/base_mrc.html

@@ -459,7 +459,7 @@ <h1>Source code for MRCpy.base_mrc</h1><div class="highlight"><pre>
 
         <span class="k">return</span> <span class="bp">self</span></div>
 
-<div class="viewcode-block" id="BaseMRC.compute_features"><a class="viewcode-back" href="../../generated/MRCpy.BaseMRC.html#MRCpy.BaseMRC.compute_features">[docs]</a>    <span class="k">def</span> <span class="nf">compute_features</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">X</span><span class="p">):</span>
+    <span class="k">def</span> <span class="nf">compute_features</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">X</span><span class="p">):</span>
         <span class="sd">&#39;&#39;&#39;</span>
 <span class="sd">        Compute the features (without one-hot encoding) corresponding</span>
 <span class="sd">        to instances given for learning the classifiers (in case of</span>
@@ -476,9 +476,9 @@ <h1>Source code for MRCpy.base_mrc</h1><div class="highlight"><pre>
 <span class="sd">            Feature corresponding with each instance.</span>
 <span class="sd">        &#39;&#39;&#39;</span>
 
-        <span class="k">return</span> <span class="bp">self</span><span class="o">.</span><span class="n">phi</span><span class="o">.</span><span class="n">transform</span><span class="p">(</span><span class="n">X</span><span class="p">)</span></div>
+        <span class="k">return</span> <span class="bp">self</span><span class="o">.</span><span class="n">phi</span><span class="o">.</span><span class="n">transform</span><span class="p">(</span><span class="n">X</span><span class="p">)</span>
 
-<div class="viewcode-block" id="BaseMRC.compute_tau"><a class="viewcode-back" href="../../generated/MRCpy.BaseMRC.html#MRCpy.BaseMRC.compute_tau">[docs]</a>    <span class="k">def</span> <span class="nf">compute_tau</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">X_transform</span><span class="p">,</span> <span class="n">Y</span><span class="p">):</span>
+    <span class="k">def</span> <span class="nf">compute_tau</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">X_transform</span><span class="p">,</span> <span class="n">Y</span><span class="p">):</span>
         <span class="sd">&#39;&#39;&#39;</span>
 <span class="sd">        Compute mean estimate tau using the given training instances.</span>
 
@@ -500,9 +500,9 @@ <h1>Source code for MRCpy.base_mrc</h1><div class="highlight"><pre>
 <span class="sd">            or (1, n_features) for binary classification.</span>
 <span class="sd">        &#39;&#39;&#39;</span>
 
-        <span class="k">return</span> <span class="bp">self</span><span class="o">.</span><span class="n">phi</span><span class="o">.</span><span class="n">est_exp</span><span class="p">(</span><span class="n">X_transform</span><span class="p">,</span> <span class="n">Y</span><span class="p">)</span></div>
+        <span class="k">return</span> <span class="bp">self</span><span class="o">.</span><span class="n">phi</span><span class="o">.</span><span class="n">est_exp</span><span class="p">(</span><span class="n">X_transform</span><span class="p">,</span> <span class="n">Y</span><span class="p">)</span>
 
-<div class="viewcode-block" id="BaseMRC.compute_lambda"><a class="viewcode-back" href="../../generated/MRCpy.BaseMRC.html#MRCpy.BaseMRC.compute_lambda">[docs]</a>    <span class="k">def</span> <span class="nf">compute_lambda</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">X_transform</span><span class="p">,</span> <span class="n">Y</span><span class="p">,</span> <span class="n">tau_mat</span><span class="p">):</span>
+    <span class="k">def</span> <span class="nf">compute_lambda</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">X_transform</span><span class="p">,</span> <span class="n">Y</span><span class="p">,</span> <span class="n">tau_mat</span><span class="p">):</span>
         <span class="sd">&#39;&#39;&#39;</span>
 <span class="sd">        Compute deviation in the mean estimate tau</span>
 <span class="sd">        using the given training instances.</span>
@@ -528,7 +528,7 @@ <h1>Source code for MRCpy.base_mrc</h1><div class="highlight"><pre>
 <span class="sd">            set constraints. Shape matches tau_mat.</span>
 <span class="sd">        &#39;&#39;&#39;</span>
 
-        <span class="k">return</span> <span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">s</span> <span class="o">*</span> <span class="bp">self</span><span class="o">.</span><span class="n">phi</span><span class="o">.</span><span class="n">est_std</span><span class="p">(</span><span class="n">X_transform</span><span class="p">,</span> <span class="n">Y</span><span class="p">,</span> <span class="n">tau_mat</span><span class="p">))</span> <span class="o">/</span> <span class="n">np</span><span class="o">.</span><span class="n">sqrt</span><span class="p">(</span><span class="n">X_transform</span><span class="o">.</span><span class="n">shape</span><span class="p">[</span><span class="mi">0</span><span class="p">])</span></div>
+        <span class="k">return</span> <span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">s</span> <span class="o">*</span> <span class="bp">self</span><span class="o">.</span><span class="n">phi</span><span class="o">.</span><span class="n">est_std</span><span class="p">(</span><span class="n">X_transform</span><span class="p">,</span> <span class="n">Y</span><span class="p">,</span> <span class="n">tau_mat</span><span class="p">))</span> <span class="o">/</span> <span class="n">np</span><span class="o">.</span><span class="n">sqrt</span><span class="p">(</span><span class="n">X_transform</span><span class="o">.</span><span class="n">shape</span><span class="p">[</span><span class="mi">0</span><span class="p">])</span>
 
 <div class="viewcode-block" id="BaseMRC.minimax_risk"><a class="viewcode-back" href="../../generated/MRCpy.BaseMRC.html#MRCpy.BaseMRC.minimax_risk">[docs]</a>    <span class="k">def</span> <span class="nf">minimax_risk</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">X</span><span class="p">,</span> <span class="n">tau_mat</span><span class="p">,</span> <span class="n">lambda_mat</span><span class="p">,</span> <span class="n">n_classes</span><span class="p">):</span>
         <span class="sd">&#39;&#39;&#39;</span>
@@ -602,7 +602,7 @@ <h1>Source code for MRCpy.base_mrc</h1><div class="highlight"><pre>
                                   <span class="s1">&#39; This functions needs to be implemented&#39;</span> <span class="o">+</span>
                                   <span class="s1">&#39; by a sub-class implementing a MRC.&#39;</span><span class="p">)</span></div>
 
-<div class="viewcode-block" id="BaseMRC.compute_phi"><a class="viewcode-back" href="../../generated/MRCpy.BaseMRC.html#MRCpy.BaseMRC.compute_phi">[docs]</a>    <span class="k">def</span> <span class="nf">compute_phi</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">X</span><span class="p">):</span>
+    <span class="k">def</span> <span class="nf">compute_phi</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">X</span><span class="p">):</span>
         <span class="sd">&#39;&#39;&#39;</span>
 <span class="sd">        Compute the feature mapping corresponding to instances given</span>
 <span class="sd">        for learning the classifiers (in case of training) and</span>
@@ -614,7 +614,7 @@ <h1>Source code for MRCpy.base_mrc</h1><div class="highlight"><pre>
 <span class="sd">            Instances to be converted to features.</span>
 <span class="sd">        &#39;&#39;&#39;</span>
 
-        <span class="k">return</span> <span class="bp">self</span><span class="o">.</span><span class="n">phi</span><span class="o">.</span><span class="n">eval_x</span><span class="p">(</span><span class="n">X</span><span class="p">)</span></div>
+        <span class="k">return</span> <span class="bp">self</span><span class="o">.</span><span class="n">phi</span><span class="o">.</span><span class="n">eval_x</span><span class="p">(</span><span class="n">X</span><span class="p">)</span>
 
 <div class="viewcode-block" id="BaseMRC.predict"><a class="viewcode-back" href="../../generated/MRCpy.BaseMRC.html#MRCpy.BaseMRC.predict">[docs]</a>    <span class="k">def</span> <span class="nf">predict</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">X</span><span class="p">):</span>
         <span class="sd">&#39;&#39;&#39;</span>