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docs/pages/html/Example Datasets.html

@@ -216,11 +216,7 @@ <h1>Import DAG/BIF<a class="headerlink" href="#import-dag-bif" title="Link to th
 </pre></div>
 </div>
 <p>With the <a class="reference internal" href="bnlearn.bnlearn.html#bnlearn.bnlearn.sampling" title="bnlearn.bnlearn.sampling"><code class="xref py py-func docutils literal notranslate"><span class="pre">bnlearn.bnlearn.sampling()</span></code></a> function a <code class="docutils literal notranslate"><span class="pre">DataFrame</span></code> can be created for <em>n</em> samples.</p>
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 <section id="export-dag-bif">
 <h1>Export DAG/BIF<a class="headerlink" href="#export-dag-bif" title="Link to this heading"></a></h1>
 <p>The learned bayesian network can be exported in one of common bayes network formats, like BIF, hugin or XMLBIF by using the BIFwriter from pgmpy.</p>

docs/pages/html/_sources/Example Datasets.rst.txt

@@ -56,15 +56,6 @@ Each Bayesian DAG model that is loaded with :func:`bnlearn.bnlearn.import_DAG` i
 With the :func:`bnlearn.bnlearn.sampling` function a ``DataFrame`` can be created for *n* samples.
 
 
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 Export DAG/BIF
 ^^^^^^^^^^^^^^^