Updates causal inference docs

pgmpy · Nov 1, 2023 · 0db42e5 · 0db42e5
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diff --git a/_modules/pgmpy/base/DAG.html b/_modules/pgmpy/base/DAG.html
@@ -1324,7 +1324,14 @@ <h3>Related Topics</h3>
 
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diff --git a/_modules/pgmpy/estimators/BayesianEstimator.html b/_modules/pgmpy/estimators/BayesianEstimator.html
@@ -68,7 +68,7 @@ <h1>Source code for pgmpy.estimators.BayesianEstimator</h1><div class="highlight
         <span class="n">prior_type</span><span class="o">=</span><span class="s2">&quot;BDeu&quot;</span><span class="p">,</span>
         <span class="n">equivalent_sample_size</span><span class="o">=</span><span class="mi">5</span><span class="p">,</span>
         <span class="n">pseudo_counts</span><span class="o">=</span><span class="kc">None</span><span class="p">,</span>
-        <span class="n">n_jobs</span><span class="o">=-</span><span class="mi">1</span><span class="p">,</span>
+        <span class="n">n_jobs</span><span class="o">=</span><span class="mi">1</span><span class="p">,</span>
         <span class="n">weighted</span><span class="o">=</span><span class="kc">False</span><span class="p">,</span>
     <span class="p">):</span>
 <span class="w">        </span><span class="sd">&quot;&quot;&quot;</span>
@@ -92,6 +92,16 @@ <h1>Source code for pgmpy.estimators.BayesianEstimator</h1><div class="highlight
 <span class="sd">            - A prior_type of &#39;K2&#39; is a shorthand for &#39;dirichlet&#39; + setting every pseudo_count to 1,</span>
 <span class="sd">                regardless of the cardinality of the variable.</span>
 
+<span class="sd">        equivalent_sample_size: int</span>
+<span class="sd">            Refer `priort_type` for more details.</span>
+
+<span class="sd">        pseudo_counts: int (default: None)</span>
+<span class="sd">            Refer `priort_type` for more details.</span>
+
+<span class="sd">        n_jobs: int (default: 1)</span>
+<span class="sd">            Number of jobs to run in parallel. Default: 1 uses all the processors.</span>
+<span class="sd">            Using n_jobs &gt; 1 for small models might be slower.</span>
+
 <span class="sd">        weighted: bool</span>
 <span class="sd">            If weighted=True, the data must contain a `_weight` column specifying the</span>
 <span class="sd">            weight of each datapoint (row). If False, assigns an equal weight to each</span>
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diff --git a/_modules/pgmpy/estimators/CITests.html b/_modules/pgmpy/estimators/CITests.html
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