unimib-thesis-mad
/
PyCTBN
Archived
1
0
Fork 0
Code Releases Activity

Update documentation

Browse Source
master
philipMartini 4 years ago
parent 431236cd6c
commit d25582d751
6 changed files with 38 additions and 24 deletions
Show all changes Ignore whitespace when comparing lines Ignore changes in amount of whitespace Ignore changes in whitespace at EOL
Show Stats Download Patch File Download Diff File
  1. BIN
      docs-out/_build/doctrees/PyCTBN.PyCTBN.estimators.doctree
  2. BIN
      docs-out/_build/doctrees/environment.pickle
  3. 29
      docs-out/_build/html/PyCTBN.PyCTBN.estimators.html
  4. 2
      docs-out/_build/html/searchindex.js
  5. 29
      docs/PyCTBN.PyCTBN.estimators.html
  6. 2
      docs/searchindex.js

BIN
docs-out/_build/doctrees/PyCTBN.PyCTBN.estimators.doctree
View File

Binary file not shown.

BIN
docs-out/_build/doctrees/environment.pickle
View File

Binary file not shown.

29
docs-out/_build/html/PyCTBN.PyCTBN.estimators.html
Unescape View File

@ -399,22 +399,26 @@ in the graph <code class="docutils literal notranslate"><span class="pre">_net_g
<li><p><strong>sample_path</strong> (<a class="reference internal" href="PyCTBN.PyCTBN.structure_graph.html#PyCTBN.PyCTBN.structure_graph.sample_path.SamplePath" title="PyCTBN.PyCTBN.structure_graph.sample_path.SamplePath"><em>SamplePath</em></a>) – the _sample_path object containing the trajectories and the real structure</p></li>
<li><p><strong>exp_test_alfa</strong> (<em>float</em>) – the significance level for the exponential Hp test</p></li>
<li><p><strong>chi_test_alfa</strong> (<em>float</em>) – the significance level for the chi Hp test</p></li>
<li><p><strong>known_edges</strong> (<em>List</em>) – the prior known edges in the net structure if present</p></li>
</ul>
</dd>
<dt class="field-even">_nodes</dt>
<dd class="field-even"><p>the nodes labels</p>
<dt class="field-even">Param</dt>
<dd class="field-even"><p>thumb_threshold: the threshold value to consider a valid independence test</p>
</dd>
<dt class="field-odd">_nodes_vals</dt>
<dd class="field-odd"><p>the nodes cardinalities</p>
<dt class="field-odd">_nodes</dt>
<dd class="field-odd"><p>the nodes labels</p>
</dd>
<dt class="field-even">_nodes_indxs</dt>
<dd class="field-even"><p>the nodes indexes</p>
<dt class="field-even">_nodes_vals</dt>
<dd class="field-even"><p>the nodes cardinalities</p>
</dd>
<dt class="field-odd">_complete_graph</dt>
<dd class="field-odd"><p>the complete directed graph built using the nodes labels in <code class="docutils literal notranslate"><span class="pre">_nodes</span></code></p>
<dt class="field-odd">_nodes_indxs</dt>
<dd class="field-odd"><p>the nodes indexes</p>
</dd>
<dt class="field-even">_complete_graph</dt>
<dd class="field-even"><p>the complete directed graph built using the nodes labels in <code class="docutils literal notranslate"><span class="pre">_nodes</span></code></p>
</dd>
<dt class="field-even">_cache</dt>
<dd class="field-even"><p>the Cache object</p>
<dt class="field-odd">_cache</dt>
<dd class="field-odd"><p>the Cache object</p>
</dd>
</dl>
<dl class="py method">
@ -529,7 +533,10 @@ it is performed also the chi_test.</p>
<p>Has the task of estimating the network structure given the trajectories in <code class="docutils literal notranslate"><span class="pre">samplepath</span></code>.</p>
<dl class="field-list simple">
<dt class="field-odd">Parameters</dt>
<dd class="field-odd"><p><strong>sample_path</strong> (<a class="reference internal" href="PyCTBN.PyCTBN.structure_graph.html#PyCTBN.PyCTBN.structure_graph.sample_path.SamplePath" title="PyCTBN.PyCTBN.structure_graph.sample_path.SamplePath"><em>SamplePath</em></a>) – the _sample_path object containing the trajectories and the real structure</p>
<dd class="field-odd"><ul class="simple">
<li><p><strong>sample_path</strong> (<a class="reference internal" href="PyCTBN.PyCTBN.structure_graph.html#PyCTBN.PyCTBN.structure_graph.sample_path.SamplePath" title="PyCTBN.PyCTBN.structure_graph.sample_path.SamplePath"><em>SamplePath</em></a>) – the _sample_path object containing the trajectories and the real structure</p></li>
<li><p><strong>known_edges</strong> (<em>List</em>) – the prior known edges in the net structure if present</p></li>
</ul>
</dd>
<dt class="field-even">_nodes</dt>
<dd class="field-even"><p>the nodes labels</p>

2
docs-out/_build/html/searchindex.js
View File

File diff suppressed because one or more lines are too long

29
docs/PyCTBN.PyCTBN.estimators.html
Unescape View File

@ -399,22 +399,26 @@ in the graph <code class="docutils literal notranslate"><span class="pre">_net_g
<li><p><strong>sample_path</strong> (<a class="reference internal" href="PyCTBN.PyCTBN.structure_graph.html#PyCTBN.PyCTBN.structure_graph.sample_path.SamplePath" title="PyCTBN.PyCTBN.structure_graph.sample_path.SamplePath"><em>SamplePath</em></a>) – the _sample_path object containing the trajectories and the real structure</p></li>
<li><p><strong>exp_test_alfa</strong> (<em>float</em>) – the significance level for the exponential Hp test</p></li>
<li><p><strong>chi_test_alfa</strong> (<em>float</em>) – the significance level for the chi Hp test</p></li>
<li><p><strong>known_edges</strong> (<em>List</em>) – the prior known edges in the net structure if present</p></li>
</ul>
</dd>
<dt class="field-even">_nodes</dt>
<dd class="field-even"><p>the nodes labels</p>
<dt class="field-even">Param</dt>
<dd class="field-even"><p>thumb_threshold: the threshold value to consider a valid independence test</p>
</dd>
<dt class="field-odd">_nodes_vals</dt>
<dd class="field-odd"><p>the nodes cardinalities</p>
<dt class="field-odd">_nodes</dt>
<dd class="field-odd"><p>the nodes labels</p>
</dd>
<dt class="field-even">_nodes_indxs</dt>
<dd class="field-even"><p>the nodes indexes</p>
<dt class="field-even">_nodes_vals</dt>
<dd class="field-even"><p>the nodes cardinalities</p>
</dd>
<dt class="field-odd">_complete_graph</dt>
<dd class="field-odd"><p>the complete directed graph built using the nodes labels in <code class="docutils literal notranslate"><span class="pre">_nodes</span></code></p>
<dt class="field-odd">_nodes_indxs</dt>
<dd class="field-odd"><p>the nodes indexes</p>
</dd>
<dt class="field-even">_complete_graph</dt>
<dd class="field-even"><p>the complete directed graph built using the nodes labels in <code class="docutils literal notranslate"><span class="pre">_nodes</span></code></p>
</dd>
<dt class="field-even">_cache</dt>
<dd class="field-even"><p>the Cache object</p>
<dt class="field-odd">_cache</dt>
<dd class="field-odd"><p>the Cache object</p>
</dd>
</dl>
<dl class="py method">
@ -529,7 +533,10 @@ it is performed also the chi_test.</p>
<p>Has the task of estimating the network structure given the trajectories in <code class="docutils literal notranslate"><span class="pre">samplepath</span></code>.</p>
<dl class="field-list simple">
<dt class="field-odd">Parameters</dt>
<dd class="field-odd"><p><strong>sample_path</strong> (<a class="reference internal" href="PyCTBN.PyCTBN.structure_graph.html#PyCTBN.PyCTBN.structure_graph.sample_path.SamplePath" title="PyCTBN.PyCTBN.structure_graph.sample_path.SamplePath"><em>SamplePath</em></a>) – the _sample_path object containing the trajectories and the real structure</p>
<dd class="field-odd"><ul class="simple">
<li><p><strong>sample_path</strong> (<a class="reference internal" href="PyCTBN.PyCTBN.structure_graph.html#PyCTBN.PyCTBN.structure_graph.sample_path.SamplePath" title="PyCTBN.PyCTBN.structure_graph.sample_path.SamplePath"><em>SamplePath</em></a>) – the _sample_path object containing the trajectories and the real structure</p></li>
<li><p><strong>known_edges</strong> (<em>List</em>) – the prior known edges in the net structure if present</p></li>
</ul>
</dd>
<dt class="field-even">_nodes</dt>
<dd class="field-even"><p>the nodes labels</p>

2
docs/searchindex.js
View File

File diff suppressed because one or more lines are too long