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erdogant · Oct 20, 2024 · f89d8eb · f89d8eb
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diff --git a/docs/pages/doctrees/Introduction.doctree b/docs/pages/doctrees/Introduction.doctree
diff --git a/docs/pages/doctrees/environment.pickle b/docs/pages/doctrees/environment.pickle
diff --git a/docs/pages/html/Introduction.html b/docs/pages/html/Introduction.html
@@ -50,9 +50,6 @@
 <ul class="current">
 <li class="toctree-l1 current"><a class="current reference internal" href="#">Introduction</a><ul>
 <li class="toctree-l2"><a class="reference internal" href="#structure-learning-algorithms">Structure Learning algorithms</a></li>
-<li class="toctree-l2"><a class="reference internal" href="#score-based-algorithms">Score-based algorithms</a></li>
-<li class="toctree-l2"><a class="reference internal" href="#local-discovery-algorithms">Local discovery algorithms</a></li>
-<li class="toctree-l2"><a class="reference internal" href="#bayesian-network-classifiers">Bayesian network classifiers</a></li>
 <li class="toctree-l2"><a class="reference internal" href="#constraint-based-structure-learning-algorithms">Constraint-based structure learning algorithms</a></li>
 </ul>
 </li>
@@ -232,26 +229,6 @@ <h2>Structure Learning algorithms<a class="headerlink" href="#structure-learning
 </li>
 </ul>
 </section>
-<section id="score-based-algorithms">
-<h2>Score-based algorithms<a class="headerlink" href="#score-based-algorithms" title="Link to this heading"></a></h2>
-<ul class="simple">
-<li><p>ExhaustiveSearch (ex)</p></li>
-<li><p>Hill Climbing (hc)</p></li>
-</ul>
-</section>
-<section id="local-discovery-algorithms">
-<h2>Local discovery algorithms<a class="headerlink" href="#local-discovery-algorithms" title="Link to this heading"></a></h2>
-<ul class="simple">
-<li><p>Chow-liu (cl)</p></li>
-</ul>
-</section>
-<section id="bayesian-network-classifiers">
-<h2>Bayesian network classifiers<a class="headerlink" href="#bayesian-network-classifiers" title="Link to this heading"></a></h2>
-<ul class="simple">
-<li><p>NaiveBayesian (nb)</p></li>
-<li><p>Tree-augmented Naive Bayes (tan)</p></li>
-</ul>
-</section>
 <section id="constraint-based-structure-learning-algorithms">
 <h2>Constraint-based structure learning algorithms<a class="headerlink" href="#constraint-based-structure-learning-algorithms" title="Link to this heading"></a></h2>
 <p>With constraint-based structure learning, a DAG can be constructed by identifying independencies in the data set using hypothesis tests, such as chi2 test statistic.

diff --git a/docs/pages/html/_sources/Introduction.rst.txt b/docs/pages/html/_sources/Introduction.rst.txt
@@ -39,23 +39,6 @@ Score-based algorithm can be used with the following score functions:
    * a score equivalent Dirichlet posterior density (bdeu);
 
 
-
-Score-based algorithms
-^^^^^^^^^^^^^^^^^^^^^^^^^^^
-* ExhaustiveSearch (ex)
-* Hill Climbing (hc)
-
-Local discovery algorithms
-^^^^^^^^^^^^^^^^^^^^^^^^^^^
-* Chow-liu (cl)
-
-Bayesian network classifiers
-^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
-* NaiveBayesian (nb)
-* Tree-augmented Naive Bayes (tan)
-
-
-
 Constraint-based structure learning algorithms
 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
 

diff --git a/docs/pages/html/index.html b/docs/pages/html/index.html
@@ -232,9 +232,6 @@ <h1>Contents<a class="headerlink" href="#contents" title="Link to this heading">
 <ul>
 <li class="toctree-l1"><a class="reference internal" href="Introduction.html">Introduction</a><ul>
 <li class="toctree-l2"><a class="reference internal" href="Introduction.html#structure-learning-algorithms">Structure Learning algorithms</a></li>
-<li class="toctree-l2"><a class="reference internal" href="Introduction.html#score-based-algorithms">Score-based algorithms</a></li>
-<li class="toctree-l2"><a class="reference internal" href="Introduction.html#local-discovery-algorithms">Local discovery algorithms</a></li>
-<li class="toctree-l2"><a class="reference internal" href="Introduction.html#bayesian-network-classifiers">Bayesian network classifiers</a></li>
 <li class="toctree-l2"><a class="reference internal" href="Introduction.html#constraint-based-structure-learning-algorithms">Constraint-based structure learning algorithms</a></li>
 </ul>
 </li>

diff --git a/docs/pages/html/objects.inv b/docs/pages/html/objects.inv
diff --git a/docs/pages/html/searchindex.js b/docs/pages/html/searchindex.js
diff --git a/docs/source/Introduction.rst b/docs/source/Introduction.rst
@@ -39,23 +39,6 @@ Score-based algorithm can be used with the following score functions:
    * a score equivalent Dirichlet posterior density (bdeu);
 
 
-
-Score-based algorithms
-^^^^^^^^^^^^^^^^^^^^^^^^^^^
-* ExhaustiveSearch (ex)
-* Hill Climbing (hc)
-
-Local discovery algorithms
-^^^^^^^^^^^^^^^^^^^^^^^^^^^
-* Chow-liu (cl)
-
-Bayesian network classifiers
-^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
-* NaiveBayesian (nb)
-* Tree-augmented Naive Bayes (tan)
-
-
-
 Constraint-based structure learning algorithms
 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^