Filippo Martini
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PyCTBN.PyCTBN.estimators package |
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================================ |
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Submodules |
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---------- |
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PyCTBN.PyCTBN.estimators.fam\_score\_calculator module |
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------------------------------------------------------ |
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.. automodule:: PyCTBN.PyCTBN.estimators.fam_score_calculator |
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PyCTBN.PyCTBN.estimators.parameters\_estimator module |
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----------------------------------------------------- |
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.. automodule:: PyCTBN.PyCTBN.estimators.parameters_estimator |
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PyCTBN.PyCTBN.estimators.structure\_constraint\_based\_estimator module |
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----------------------------------------------------------------------- |
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.. automodule:: PyCTBN.PyCTBN.estimators.structure_constraint_based_estimator |
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PyCTBN.PyCTBN.estimators.structure\_estimator module |
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---------------------------------------------------- |
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.. automodule:: PyCTBN.PyCTBN.estimators.structure_estimator |
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PyCTBN.PyCTBN.estimators.structure\_score\_based\_estimator module |
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------------------------------------------------------------------ |
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.. automodule:: PyCTBN.PyCTBN.estimators.structure_score_based_estimator |
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Module contents |
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--------------- |
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.. automodule:: PyCTBN.PyCTBN.estimators |
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PyCTBN.PyCTBN.optimizers package |
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================================ |
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Submodules |
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---------- |
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PyCTBN.PyCTBN.optimizers.constraint\_based\_optimizer module |
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------------------------------------------------------------ |
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.. automodule:: PyCTBN.PyCTBN.optimizers.constraint_based_optimizer |
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:undoc-members: |
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:show-inheritance: |
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PyCTBN.PyCTBN.optimizers.hill\_climbing\_search module |
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------------------------------------------------------ |
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.. automodule:: PyCTBN.PyCTBN.optimizers.hill_climbing_search |
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:members: |
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:undoc-members: |
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PyCTBN.PyCTBN.optimizers.optimizer module |
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----------------------------------------- |
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.. automodule:: PyCTBN.PyCTBN.optimizers.optimizer |
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:members: |
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:undoc-members: |
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PyCTBN.PyCTBN.optimizers.tabu\_search module |
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-------------------------------------------- |
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.. automodule:: PyCTBN.PyCTBN.optimizers.tabu_search |
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:members: |
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Module contents |
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--------------- |
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.. automodule:: PyCTBN.PyCTBN.optimizers |
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:members: |
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:undoc-members: |
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PyCTBN.PyCTBN package |
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===================== |
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Subpackages |
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----------- |
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.. toctree:: |
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:maxdepth: 4 |
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PyCTBN.PyCTBN.estimators |
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PyCTBN.PyCTBN.optimizers |
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PyCTBN.PyCTBN.structure_graph |
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PyCTBN.PyCTBN.utility |
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Module contents |
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--------------- |
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.. automodule:: PyCTBN.PyCTBN |
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:members: |
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:undoc-members: |
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:show-inheritance: |
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PyCTBN.PyCTBN.structure\_graph package |
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====================================== |
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Submodules |
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---------- |
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PyCTBN.PyCTBN.structure\_graph.conditional\_intensity\_matrix module |
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-------------------------------------------------------------------- |
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.. automodule:: PyCTBN.PyCTBN.structure_graph.conditional_intensity_matrix |
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:members: |
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:undoc-members: |
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:show-inheritance: |
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PyCTBN.PyCTBN.structure\_graph.network\_graph module |
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---------------------------------------------------- |
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.. automodule:: PyCTBN.PyCTBN.structure_graph.network_graph |
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:members: |
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:undoc-members: |
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:show-inheritance: |
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PyCTBN.PyCTBN.structure\_graph.sample\_path module |
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-------------------------------------------------- |
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.. automodule:: PyCTBN.PyCTBN.structure_graph.sample_path |
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:members: |
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:undoc-members: |
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:show-inheritance: |
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PyCTBN.PyCTBN.structure\_graph.set\_of\_cims module |
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--------------------------------------------------- |
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.. automodule:: PyCTBN.PyCTBN.structure_graph.set_of_cims |
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:members: |
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:undoc-members: |
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:show-inheritance: |
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PyCTBN.PyCTBN.structure\_graph.structure module |
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----------------------------------------------- |
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.. automodule:: PyCTBN.PyCTBN.structure_graph.structure |
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:members: |
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:undoc-members: |
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:show-inheritance: |
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PyCTBN.PyCTBN.structure\_graph.trajectory module |
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------------------------------------------------ |
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.. automodule:: PyCTBN.PyCTBN.structure_graph.trajectory |
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:members: |
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:undoc-members: |
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Module contents |
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--------------- |
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.. automodule:: PyCTBN.PyCTBN.structure_graph |
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:members: |
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:undoc-members: |
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:show-inheritance: |
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PyCTBN.PyCTBN.utility package |
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============================= |
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Submodules |
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---------- |
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PyCTBN.PyCTBN.utility.abstract\_importer module |
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----------------------------------------------- |
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.. automodule:: PyCTBN.PyCTBN.utility.abstract_importer |
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:members: |
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:undoc-members: |
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:show-inheritance: |
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PyCTBN.PyCTBN.utility.cache module |
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---------------------------------- |
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.. automodule:: PyCTBN.PyCTBN.utility.cache |
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:members: |
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:undoc-members: |
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:show-inheritance: |
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PyCTBN.PyCTBN.utility.json\_importer module |
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------------------------------------------- |
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.. automodule:: PyCTBN.PyCTBN.utility.json_importer |
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:members: |
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:undoc-members: |
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:show-inheritance: |
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PyCTBN.PyCTBN.utility.sample\_importer module |
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--------------------------------------------- |
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.. automodule:: PyCTBN.PyCTBN.utility.sample_importer |
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:members: |
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:undoc-members: |
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:show-inheritance: |
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Module contents |
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--------------- |
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.. automodule:: PyCTBN.PyCTBN.utility |
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:members: |
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:undoc-members: |
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<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.1//EN" "http://www.w3.org/TR/xhtml11/DTD/xhtml11.dtd"> |
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<meta name="viewport" content="width=device-width, initial-scale=1.0"> |
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<title>PyCTBN package — PyCTBN 2.0 documentation</title> |
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<p class="caption"><span class="caption-text">Contents:</span></p> |
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<ul> |
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<li class="toctree-l1"><a class="reference internal" href="modules.html">PyCTBN</a><ul> |
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<li class="toctree-l2"><a class="reference internal" href="PyCTBN.PyCTBN.html">PyCTBN.PyCTBN package</a></li> |
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<li class="toctree-l2"><a class="reference internal" href="examples.html">Examples</a></li> |
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<div id="content" class="hfeed entry-container hentry"> |
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<div class="section" id="pyctbn-package"> |
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<h1>PyCTBN package<a class="headerlink" href="#pyctbn-package" title="Permalink to this headline">¶</a></h1> |
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<div class="section" id="subpackages"> |
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<h2>Subpackages<a class="headerlink" href="#subpackages" title="Permalink to this headline">¶</a></h2> |
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<div class="toctree-wrapper compound"> |
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<ul> |
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<li class="toctree-l1"><a class="reference internal" href="PyCTBN.PyCTBN.html">PyCTBN.PyCTBN package</a><ul> |
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<li class="toctree-l2"><a class="reference internal" href="PyCTBN.PyCTBN.html#subpackages">Subpackages</a><ul> |
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<li class="toctree-l3"><a class="reference internal" href="PyCTBN.PyCTBN.estimators.html">PyCTBN.PyCTBN.estimators package</a><ul> |
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<li class="toctree-l4"><a class="reference internal" href="PyCTBN.PyCTBN.estimators.html#submodules">Submodules</a></li> |
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<li class="toctree-l4"><a class="reference internal" href="PyCTBN.PyCTBN.estimators.html#module-PyCTBN.PyCTBN.estimators.fam_score_calculator">PyCTBN.PyCTBN.estimators.fam_score_calculator module</a></li> |
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<li class="toctree-l4"><a class="reference internal" href="PyCTBN.PyCTBN.estimators.html#module-PyCTBN.PyCTBN.estimators.parameters_estimator">PyCTBN.PyCTBN.estimators.parameters_estimator module</a></li> |
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<li class="toctree-l4"><a class="reference internal" href="PyCTBN.PyCTBN.estimators.html#module-PyCTBN.PyCTBN.estimators.structure_constraint_based_estimator">PyCTBN.PyCTBN.estimators.structure_constraint_based_estimator module</a></li> |
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<li class="toctree-l4"><a class="reference internal" href="PyCTBN.PyCTBN.estimators.html#module-PyCTBN.PyCTBN.estimators.structure_estimator">PyCTBN.PyCTBN.estimators.structure_estimator module</a></li> |
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<li class="toctree-l4"><a class="reference internal" href="PyCTBN.PyCTBN.estimators.html#module-PyCTBN.PyCTBN.estimators.structure_score_based_estimator">PyCTBN.PyCTBN.estimators.structure_score_based_estimator module</a></li> |
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<li class="toctree-l4"><a class="reference internal" href="PyCTBN.PyCTBN.estimators.html#module-PyCTBN.PyCTBN.estimators">Module contents</a></li> |
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</ul> |
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</li> |
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<li class="toctree-l3"><a class="reference internal" href="PyCTBN.PyCTBN.optimizers.html">PyCTBN.PyCTBN.optimizers package</a><ul> |
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<li class="toctree-l4"><a class="reference internal" href="PyCTBN.PyCTBN.optimizers.html#submodules">Submodules</a></li> |
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<li class="toctree-l4"><a class="reference internal" href="PyCTBN.PyCTBN.optimizers.html#module-PyCTBN.PyCTBN.optimizers.constraint_based_optimizer">PyCTBN.PyCTBN.optimizers.constraint_based_optimizer module</a></li> |
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<li class="toctree-l4"><a class="reference internal" href="PyCTBN.PyCTBN.optimizers.html#module-PyCTBN.PyCTBN.optimizers.hill_climbing_search">PyCTBN.PyCTBN.optimizers.hill_climbing_search module</a></li> |
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<li class="toctree-l4"><a class="reference internal" href="PyCTBN.PyCTBN.optimizers.html#module-PyCTBN.PyCTBN.optimizers.optimizer">PyCTBN.PyCTBN.optimizers.optimizer module</a></li> |
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<li class="toctree-l4"><a class="reference internal" href="PyCTBN.PyCTBN.optimizers.html#module-PyCTBN.PyCTBN.optimizers.tabu_search">PyCTBN.PyCTBN.optimizers.tabu_search module</a></li> |
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<li class="toctree-l4"><a class="reference internal" href="PyCTBN.PyCTBN.optimizers.html#module-PyCTBN.PyCTBN.optimizers">Module contents</a></li> |
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</ul> |
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</li> |
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<li class="toctree-l3"><a class="reference internal" href="PyCTBN.PyCTBN.structure_graph.html">PyCTBN.PyCTBN.structure_graph package</a><ul> |
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<li class="toctree-l4"><a class="reference internal" href="PyCTBN.PyCTBN.structure_graph.html#submodules">Submodules</a></li> |
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<li class="toctree-l4"><a class="reference internal" href="PyCTBN.PyCTBN.structure_graph.html#module-PyCTBN.PyCTBN.structure_graph.conditional_intensity_matrix">PyCTBN.PyCTBN.structure_graph.conditional_intensity_matrix module</a></li> |
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<li class="toctree-l4"><a class="reference internal" href="PyCTBN.PyCTBN.structure_graph.html#module-PyCTBN.PyCTBN.structure_graph.network_graph">PyCTBN.PyCTBN.structure_graph.network_graph module</a></li> |
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<li class="toctree-l4"><a class="reference internal" href="PyCTBN.PyCTBN.structure_graph.html#module-PyCTBN.PyCTBN.structure_graph.sample_path">PyCTBN.PyCTBN.structure_graph.sample_path module</a></li> |
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<li class="toctree-l4"><a class="reference internal" href="PyCTBN.PyCTBN.structure_graph.html#module-PyCTBN.PyCTBN.structure_graph.set_of_cims">PyCTBN.PyCTBN.structure_graph.set_of_cims module</a></li> |
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<li class="toctree-l4"><a class="reference internal" href="PyCTBN.PyCTBN.structure_graph.html#module-PyCTBN.PyCTBN.structure_graph.structure">PyCTBN.PyCTBN.structure_graph.structure module</a></li> |
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<li class="toctree-l4"><a class="reference internal" href="PyCTBN.PyCTBN.structure_graph.html#module-PyCTBN.PyCTBN.structure_graph.trajectory">PyCTBN.PyCTBN.structure_graph.trajectory module</a></li> |
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<li class="toctree-l4"><a class="reference internal" href="PyCTBN.PyCTBN.structure_graph.html#module-PyCTBN.PyCTBN.structure_graph">Module contents</a></li> |
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|
</ul> |
||||||
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</li> |
||||||
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<li class="toctree-l3"><a class="reference internal" href="PyCTBN.PyCTBN.utility.html">PyCTBN.PyCTBN.utility package</a><ul> |
||||||
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<li class="toctree-l4"><a class="reference internal" href="PyCTBN.PyCTBN.utility.html#submodules">Submodules</a></li> |
||||||
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<li class="toctree-l4"><a class="reference internal" href="PyCTBN.PyCTBN.utility.html#module-PyCTBN.PyCTBN.utility.abstract_importer">PyCTBN.PyCTBN.utility.abstract_importer module</a></li> |
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|
<li class="toctree-l4"><a class="reference internal" href="PyCTBN.PyCTBN.utility.html#module-PyCTBN.PyCTBN.utility.cache">PyCTBN.PyCTBN.utility.cache module</a></li> |
||||||
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<li class="toctree-l4"><a class="reference internal" href="PyCTBN.PyCTBN.utility.html#module-PyCTBN.PyCTBN.utility.json_importer">PyCTBN.PyCTBN.utility.json_importer module</a></li> |
||||||
|
<li class="toctree-l4"><a class="reference internal" href="PyCTBN.PyCTBN.utility.html#module-PyCTBN.PyCTBN.utility.sample_importer">PyCTBN.PyCTBN.utility.sample_importer module</a></li> |
||||||
|
<li class="toctree-l4"><a class="reference internal" href="PyCTBN.PyCTBN.utility.html#module-PyCTBN.PyCTBN.utility">Module contents</a></li> |
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</ul> |
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||||||
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</li> |
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<li class="toctree-l2"><a class="reference internal" href="PyCTBN.PyCTBN.html#module-PyCTBN.PyCTBN">Module contents</a></li> |
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</ul> |
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||||||
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<div class="section" id="submodules"> |
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<h2>Submodules<a class="headerlink" href="#submodules" title="Permalink to this headline">¶</a></h2> |
||||||
|
</div> |
||||||
|
<div class="section" id="module-PyCTBN"> |
||||||
|
<span id="module-contents"></span><h2>Module contents<a class="headerlink" href="#module-PyCTBN" title="Permalink to this headline">¶</a></h2> |
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<p> |
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© Copyright 2021, Bregoli Alessandro, Martini Filippo, Moretti Luca. |
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PyCTBN.PyCTBN.estimators package |
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================================ |
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||||||
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Submodules |
||||||
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---------- |
||||||
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PyCTBN.PyCTBN.estimators.fam\_score\_calculator module |
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------------------------------------------------------ |
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.. automodule:: PyCTBN.PyCTBN.estimators.fam_score_calculator |
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PyCTBN.PyCTBN.estimators.parameters\_estimator module |
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----------------------------------------------------- |
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.. automodule:: PyCTBN.PyCTBN.estimators.parameters_estimator |
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PyCTBN.PyCTBN.estimators.structure\_constraint\_based\_estimator module |
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----------------------------------------------------------------------- |
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.. automodule:: PyCTBN.PyCTBN.estimators.structure_constraint_based_estimator |
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||||||
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PyCTBN.PyCTBN.estimators.structure\_estimator module |
||||||
|
---------------------------------------------------- |
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||||||
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.. automodule:: PyCTBN.PyCTBN.estimators.structure_estimator |
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:members: |
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PyCTBN.PyCTBN.estimators.structure\_score\_based\_estimator module |
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|
------------------------------------------------------------------ |
||||||
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.. automodule:: PyCTBN.PyCTBN.estimators.structure_score_based_estimator |
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:members: |
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Module contents |
||||||
|
--------------- |
||||||
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||||||
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.. automodule:: PyCTBN.PyCTBN.estimators |
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:members: |
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:undoc-members: |
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@ -0,0 +1,45 @@ |
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PyCTBN.PyCTBN.optimizers package |
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|
================================ |
||||||
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||||||
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Submodules |
||||||
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---------- |
||||||
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||||||
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PyCTBN.PyCTBN.optimizers.constraint\_based\_optimizer module |
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------------------------------------------------------------ |
||||||
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||||||
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.. automodule:: PyCTBN.PyCTBN.optimizers.constraint_based_optimizer |
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:members: |
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PyCTBN.PyCTBN.optimizers.hill\_climbing\_search module |
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------------------------------------------------------ |
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.. automodule:: PyCTBN.PyCTBN.optimizers.hill_climbing_search |
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:members: |
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|
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PyCTBN.PyCTBN.optimizers.optimizer module |
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|
----------------------------------------- |
||||||
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||||||
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.. automodule:: PyCTBN.PyCTBN.optimizers.optimizer |
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:members: |
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PyCTBN.PyCTBN.optimizers.tabu\_search module |
||||||
|
-------------------------------------------- |
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||||||
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.. automodule:: PyCTBN.PyCTBN.optimizers.tabu_search |
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:members: |
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||||||
|
Module contents |
||||||
|
--------------- |
||||||
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||||||
|
.. automodule:: PyCTBN.PyCTBN.optimizers |
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:members: |
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:undoc-members: |
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:show-inheritance: |
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@ -0,0 +1,21 @@ |
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PyCTBN.PyCTBN package |
||||||
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===================== |
||||||
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||||||
|
Subpackages |
||||||
|
----------- |
||||||
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|
||||||
|
.. toctree:: |
||||||
|
:maxdepth: 4 |
||||||
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|
||||||
|
PyCTBN.PyCTBN.estimators |
||||||
|
PyCTBN.PyCTBN.optimizers |
||||||
|
PyCTBN.PyCTBN.structure_graph |
||||||
|
PyCTBN.PyCTBN.utility |
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|
||||||
|
Module contents |
||||||
|
--------------- |
||||||
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||||||
|
.. automodule:: PyCTBN.PyCTBN |
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:members: |
||||||
|
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:show-inheritance: |
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@ -0,0 +1,61 @@ |
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|
PyCTBN.PyCTBN.structure\_graph package |
||||||
|
====================================== |
||||||
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||||||
|
Submodules |
||||||
|
---------- |
||||||
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||||||
|
PyCTBN.PyCTBN.structure\_graph.conditional\_intensity\_matrix module |
||||||
|
-------------------------------------------------------------------- |
||||||
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||||||
|
.. automodule:: PyCTBN.PyCTBN.structure_graph.conditional_intensity_matrix |
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:members: |
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|
:undoc-members: |
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|
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||||||
|
PyCTBN.PyCTBN.structure\_graph.network\_graph module |
||||||
|
---------------------------------------------------- |
||||||
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||||||
|
.. automodule:: PyCTBN.PyCTBN.structure_graph.network_graph |
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:members: |
||||||
|
:undoc-members: |
||||||
|
:show-inheritance: |
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||||||
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PyCTBN.PyCTBN.structure\_graph.sample\_path module |
||||||
|
-------------------------------------------------- |
||||||
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||||||
|
.. automodule:: PyCTBN.PyCTBN.structure_graph.sample_path |
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:members: |
||||||
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:undoc-members: |
||||||
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:show-inheritance: |
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||||||
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PyCTBN.PyCTBN.structure\_graph.set\_of\_cims module |
||||||
|
--------------------------------------------------- |
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||||||
|
.. automodule:: PyCTBN.PyCTBN.structure_graph.set_of_cims |
||||||
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:members: |
||||||
|
:undoc-members: |
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|
:show-inheritance: |
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||||||
|
PyCTBN.PyCTBN.structure\_graph.structure module |
||||||
|
----------------------------------------------- |
||||||
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||||||
|
.. automodule:: PyCTBN.PyCTBN.structure_graph.structure |
||||||
|
:members: |
||||||
|
:undoc-members: |
||||||
|
:show-inheritance: |
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||||||
|
PyCTBN.PyCTBN.structure\_graph.trajectory module |
||||||
|
------------------------------------------------ |
||||||
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||||||
|
.. automodule:: PyCTBN.PyCTBN.structure_graph.trajectory |
||||||
|
:members: |
||||||
|
:undoc-members: |
||||||
|
:show-inheritance: |
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|
||||||
|
Module contents |
||||||
|
--------------- |
||||||
|
|
||||||
|
.. automodule:: PyCTBN.PyCTBN.structure_graph |
||||||
|
:members: |
||||||
|
:undoc-members: |
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:show-inheritance: |
||||||
@ -0,0 +1,45 @@ |
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|
PyCTBN.PyCTBN.utility package |
||||||
|
============================= |
||||||
|
|
||||||
|
Submodules |
||||||
|
---------- |
||||||
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||||||
|
PyCTBN.PyCTBN.utility.abstract\_importer module |
||||||
|
----------------------------------------------- |
||||||
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||||||
|
.. automodule:: PyCTBN.PyCTBN.utility.abstract_importer |
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:members: |
||||||
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||||||
|
PyCTBN.PyCTBN.utility.cache module |
||||||
|
---------------------------------- |
||||||
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||||||
|
.. automodule:: PyCTBN.PyCTBN.utility.cache |
||||||
|
:members: |
||||||
|
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||||||
|
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||||||
|
PyCTBN.PyCTBN.utility.json\_importer module |
||||||
|
------------------------------------------- |
||||||
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||||||
|
.. automodule:: PyCTBN.PyCTBN.utility.json_importer |
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:members: |
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:undoc-members: |
||||||
|
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||||||
|
PyCTBN.PyCTBN.utility.sample\_importer module |
||||||
|
--------------------------------------------- |
||||||
|
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||||||
|
.. automodule:: PyCTBN.PyCTBN.utility.sample_importer |
||||||
|
:members: |
||||||
|
:undoc-members: |
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|
:show-inheritance: |
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||||||
|
Module contents |
||||||
|
--------------- |
||||||
|
|
||||||
|
.. automodule:: PyCTBN.PyCTBN.utility |
||||||
|
:members: |
||||||
|
:undoc-members: |
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|
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||||||
@ -1,7 +1,8 @@ |
|||||||
PyCTBN |
PyCTBN |
||||||
======= |
====== |
||||||
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|
||||||
.. toctree:: |
.. toctree:: |
||||||
:maxdepth: 4 |
:maxdepth: 4 |
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PyCTBN |
PyCTBN.PyCTBN |
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examples |
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href="#"/> |
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<link rel="search" title="Search" href="search.html"/> |
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<link rel="top" title="PyCTBN 2.0 documentation" href="index.html"/> |
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<p class="caption"><span class="caption-text">Contents:</span></p> |
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<ul> |
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<li class="toctree-l1"><a class="reference internal" href="modules.html">PyCTBN</a><ul> |
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|
<li class="toctree-l2"><a class="reference internal" href="PyCTBN.PyCTBN.html">PyCTBN.PyCTBN package</a></li> |
||||||
|
<li class="toctree-l2"><a class="reference internal" href="examples.html">Examples</a></li> |
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<div class="fundo-escuro"> |
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</div> |
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<div class="rst-content"> |
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<div role="navigation" aria-label="breadcrumbs navigation"> |
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|
<!-- <ul class="wy-breadcrumbs"> --> |
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<!-- <li><a href="#">Docs</a> »</li> --> |
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<!-- <li>Features</li> --> |
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<!-- <li class="wy-breadcrumbs-aside"> --> |
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<!-- <a href="_sources/index.txt" rel="nofollow"> View page source</a> --> |
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|
<!-- </li> --> |
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|
<!-- </ul> --> |
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|
<!-- <hr/> --> |
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</div> |
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<div role="main" class=""> |
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|
<div id="content" class="hfeed entry-container hentry"> |
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|
<h1 id="index">Index</h1> |
||||||
|
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||||||
|
<div class="genindex-jumpbox"> |
||||||
|
<a href="#A"><strong>A</strong></a> |
||||||
|
| <a href="#B"><strong>B</strong></a> |
||||||
|
| <a href="#C"><strong>C</strong></a> |
||||||
|
| <a href="#D"><strong>D</strong></a> |
||||||
|
| <a href="#E"><strong>E</strong></a> |
||||||
|
| <a href="#F"><strong>F</strong></a> |
||||||
|
| <a href="#G"><strong>G</strong></a> |
||||||
|
| <a href="#H"><strong>H</strong></a> |
||||||
|
| <a href="#I"><strong>I</strong></a> |
||||||
|
| <a href="#J"><strong>J</strong></a> |
||||||
|
| <a href="#M"><strong>M</strong></a> |
||||||
|
| <a href="#N"><strong>N</strong></a> |
||||||
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| <a href="#O"><strong>O</strong></a> |
||||||
|
| <a href="#P"><strong>P</strong></a> |
||||||
|
| <a href="#R"><strong>R</strong></a> |
||||||
|
| <a href="#S"><strong>S</strong></a> |
||||||
|
| <a href="#T"><strong>T</strong></a> |
||||||
|
| <a href="#V"><strong>V</strong></a> |
||||||
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|
||||||
|
</div> |
||||||
|
<h2 id="A">A</h2> |
||||||
|
<table style="width: 100%" class="indextable genindextable"><tr> |
||||||
|
<td style="width: 33%; vertical-align: top;"><ul> |
||||||
|
<li><a href="PyCTBN.PyCTBN.utility.html#PyCTBN.PyCTBN.utility.abstract_importer.AbstractImporter">AbstractImporter (class in PyCTBN.PyCTBN.utility.abstract_importer)</a> |
||||||
|
</li> |
||||||
|
<li><a href="PyCTBN.PyCTBN.structure_graph.html#PyCTBN.PyCTBN.structure_graph.set_of_cims.SetOfCims.actual_cims">actual_cims() (PyCTBN.PyCTBN.structure_graph.set_of_cims.SetOfCims property)</a> |
||||||
|
</li> |
||||||
|
<li><a href="PyCTBN.PyCTBN.structure_graph.html#PyCTBN.PyCTBN.structure_graph.structure.Structure.add_edge">add_edge() (PyCTBN.PyCTBN.structure_graph.structure.Structure method)</a> |
||||||
|
</li> |
||||||
|
</ul></td> |
||||||
|
<td style="width: 33%; vertical-align: top;"><ul> |
||||||
|
<li><a href="PyCTBN.PyCTBN.structure_graph.html#PyCTBN.PyCTBN.structure_graph.network_graph.NetworkGraph.add_edges">add_edges() (PyCTBN.PyCTBN.structure_graph.network_graph.NetworkGraph method)</a> |
||||||
|
</li> |
||||||
|
<li><a href="PyCTBN.PyCTBN.structure_graph.html#PyCTBN.PyCTBN.structure_graph.network_graph.NetworkGraph.add_nodes">add_nodes() (PyCTBN.PyCTBN.structure_graph.network_graph.NetworkGraph method)</a> |
||||||
|
</li> |
||||||
|
<li><a href="PyCTBN.PyCTBN.estimators.html#PyCTBN.PyCTBN.estimators.structure_estimator.StructureEstimator.adjacency_matrix">adjacency_matrix() (PyCTBN.PyCTBN.estimators.structure_estimator.StructureEstimator method)</a> |
||||||
|
</li> |
||||||
|
</ul></td> |
||||||
|
</tr></table> |
||||||
|
|
||||||
|
<h2 id="B">B</h2> |
||||||
|
<table style="width: 100%" class="indextable genindextable"><tr> |
||||||
|
<td style="width: 33%; vertical-align: top;"><ul> |
||||||
|
<li><a href="PyCTBN.PyCTBN.structure_graph.html#PyCTBN.PyCTBN.structure_graph.set_of_cims.SetOfCims.build_cims">build_cims() (PyCTBN.PyCTBN.structure_graph.set_of_cims.SetOfCims method)</a> |
||||||
|
</li> |
||||||
|
<li><a href="PyCTBN.PyCTBN.estimators.html#PyCTBN.PyCTBN.estimators.structure_estimator.StructureEstimator.build_complete_graph">build_complete_graph() (PyCTBN.PyCTBN.estimators.structure_estimator.StructureEstimator static method)</a> |
||||||
|
</li> |
||||||
|
<li><a href="PyCTBN.PyCTBN.utility.html#PyCTBN.PyCTBN.utility.abstract_importer.AbstractImporter.build_list_of_samples_array">build_list_of_samples_array() (PyCTBN.PyCTBN.utility.abstract_importer.AbstractImporter method)</a> |
||||||
|
</li> |
||||||
|
<li><a href="PyCTBN.PyCTBN.structure_graph.html#PyCTBN.PyCTBN.structure_graph.network_graph.NetworkGraph.build_p_comb_structure_for_a_node">build_p_comb_structure_for_a_node() (PyCTBN.PyCTBN.structure_graph.network_graph.NetworkGraph static method)</a> |
||||||
|
</li> |
||||||
|
<li><a href="PyCTBN.PyCTBN.estimators.html#PyCTBN.PyCTBN.estimators.structure_estimator.StructureEstimator.build_removable_edges_matrix">build_removable_edges_matrix() (PyCTBN.PyCTBN.estimators.structure_estimator.StructureEstimator method)</a> |
||||||
|
</li> |
||||||
|
<li><a href="PyCTBN.PyCTBN.utility.html#PyCTBN.PyCTBN.utility.abstract_importer.AbstractImporter.build_sorter">build_sorter() (PyCTBN.PyCTBN.utility.abstract_importer.AbstractImporter method)</a> |
||||||
|
|
||||||
|
<ul> |
||||||
|
<li><a href="PyCTBN.PyCTBN.utility.html#PyCTBN.PyCTBN.utility.json_importer.JsonImporter.build_sorter">(PyCTBN.PyCTBN.utility.json_importer.JsonImporter method)</a> |
||||||
|
</li> |
||||||
|
<li><a href="PyCTBN.PyCTBN.utility.html#PyCTBN.PyCTBN.utility.sample_importer.SampleImporter.build_sorter">(PyCTBN.PyCTBN.utility.sample_importer.SampleImporter method)</a> |
||||||
|
</li> |
||||||
|
</ul></li> |
||||||
|
</ul></td> |
||||||
|
<td style="width: 33%; vertical-align: top;"><ul> |
||||||
|
<li><a href="PyCTBN.PyCTBN.structure_graph.html#PyCTBN.PyCTBN.structure_graph.sample_path.SamplePath.build_structure">build_structure() (PyCTBN.PyCTBN.structure_graph.sample_path.SamplePath method)</a> |
||||||
|
</li> |
||||||
|
<li><a href="PyCTBN.PyCTBN.structure_graph.html#PyCTBN.PyCTBN.structure_graph.network_graph.NetworkGraph.build_time_columns_filtering_for_a_node">build_time_columns_filtering_for_a_node() (PyCTBN.PyCTBN.structure_graph.network_graph.NetworkGraph static method)</a> |
||||||
|
</li> |
||||||
|
<li><a href="PyCTBN.PyCTBN.structure_graph.html#PyCTBN.PyCTBN.structure_graph.network_graph.NetworkGraph.build_time_scalar_indexing_structure_for_a_node">build_time_scalar_indexing_structure_for_a_node() (PyCTBN.PyCTBN.structure_graph.network_graph.NetworkGraph static method)</a> |
||||||
|
</li> |
||||||
|
<li><a href="PyCTBN.PyCTBN.structure_graph.html#PyCTBN.PyCTBN.structure_graph.set_of_cims.SetOfCims.build_times_and_transitions_structures">build_times_and_transitions_structures() (PyCTBN.PyCTBN.structure_graph.set_of_cims.SetOfCims method)</a> |
||||||
|
</li> |
||||||
|
<li><a href="PyCTBN.PyCTBN.structure_graph.html#PyCTBN.PyCTBN.structure_graph.sample_path.SamplePath.build_trajectories">build_trajectories() (PyCTBN.PyCTBN.structure_graph.sample_path.SamplePath method)</a> |
||||||
|
</li> |
||||||
|
<li><a href="PyCTBN.PyCTBN.structure_graph.html#PyCTBN.PyCTBN.structure_graph.network_graph.NetworkGraph.build_transition_filtering_for_a_node">build_transition_filtering_for_a_node() (PyCTBN.PyCTBN.structure_graph.network_graph.NetworkGraph static method)</a> |
||||||
|
</li> |
||||||
|
<li><a href="PyCTBN.PyCTBN.structure_graph.html#PyCTBN.PyCTBN.structure_graph.network_graph.NetworkGraph.build_transition_scalar_indexing_structure_for_a_node">build_transition_scalar_indexing_structure_for_a_node() (PyCTBN.PyCTBN.structure_graph.network_graph.NetworkGraph static method)</a> |
||||||
|
</li> |
||||||
|
</ul></td> |
||||||
|
</tr></table> |
||||||
|
|
||||||
|
<h2 id="C">C</h2> |
||||||
|
<table style="width: 100%" class="indextable genindextable"><tr> |
||||||
|
<td style="width: 33%; vertical-align: top;"><ul> |
||||||
|
<li><a href="PyCTBN.PyCTBN.utility.html#PyCTBN.PyCTBN.utility.cache.Cache">Cache (class in PyCTBN.PyCTBN.utility.cache)</a> |
||||||
|
</li> |
||||||
|
<li><a href="PyCTBN.PyCTBN.structure_graph.html#PyCTBN.PyCTBN.structure_graph.conditional_intensity_matrix.ConditionalIntensityMatrix.cim">cim() (PyCTBN.PyCTBN.structure_graph.conditional_intensity_matrix.ConditionalIntensityMatrix property)</a> |
||||||
|
</li> |
||||||
|
<li><a href="PyCTBN.PyCTBN.structure_graph.html#PyCTBN.PyCTBN.structure_graph.structure.Structure.clean_structure_edges">clean_structure_edges() (PyCTBN.PyCTBN.structure_graph.structure.Structure method)</a> |
||||||
|
</li> |
||||||
|
<li><a href="PyCTBN.PyCTBN.utility.html#PyCTBN.PyCTBN.utility.cache.Cache.clear">clear() (PyCTBN.PyCTBN.utility.cache.Cache method)</a> |
||||||
|
</li> |
||||||
|
<li><a href="PyCTBN.PyCTBN.utility.html#PyCTBN.PyCTBN.utility.abstract_importer.AbstractImporter.clear_concatenated_frame">clear_concatenated_frame() (PyCTBN.PyCTBN.utility.abstract_importer.AbstractImporter method)</a> |
||||||
|
</li> |
||||||
|
<li><a href="PyCTBN.PyCTBN.utility.html#PyCTBN.PyCTBN.utility.json_importer.JsonImporter.clear_data_frame_list">clear_data_frame_list() (PyCTBN.PyCTBN.utility.json_importer.JsonImporter method)</a> |
||||||
|
</li> |
||||||
|
<li><a href="PyCTBN.PyCTBN.structure_graph.html#PyCTBN.PyCTBN.structure_graph.network_graph.NetworkGraph.clear_indexing_filtering_structures">clear_indexing_filtering_structures() (PyCTBN.PyCTBN.structure_graph.network_graph.NetworkGraph method)</a> |
||||||
|
</li> |
||||||
|
<li><a href="PyCTBN.PyCTBN.structure_graph.html#PyCTBN.PyCTBN.structure_graph.sample_path.SamplePath.clear_memory">clear_memory() (PyCTBN.PyCTBN.structure_graph.sample_path.SamplePath method)</a> |
||||||
|
</li> |
||||||
|
<li><a href="PyCTBN.PyCTBN.estimators.html#PyCTBN.PyCTBN.estimators.structure_constraint_based_estimator.StructureConstraintBasedEstimator.complete_test">complete_test() (PyCTBN.PyCTBN.estimators.structure_constraint_based_estimator.StructureConstraintBasedEstimator method)</a> |
||||||
|
</li> |
||||||
|
<li><a href="PyCTBN.PyCTBN.structure_graph.html#PyCTBN.PyCTBN.structure_graph.trajectory.Trajectory.complete_trajectory">complete_trajectory() (PyCTBN.PyCTBN.structure_graph.trajectory.Trajectory property)</a> |
||||||
|
</li> |
||||||
|
<li><a href="PyCTBN.PyCTBN.structure_graph.html#PyCTBN.PyCTBN.structure_graph.conditional_intensity_matrix.ConditionalIntensityMatrix.compute_cim_coefficients">compute_cim_coefficients() (PyCTBN.PyCTBN.structure_graph.conditional_intensity_matrix.ConditionalIntensityMatrix method)</a> |
||||||
|
</li> |
||||||
|
</ul></td> |
||||||
|
<td style="width: 33%; vertical-align: top;"><ul> |
||||||
|
<li><a href="PyCTBN.PyCTBN.estimators.html#PyCTBN.PyCTBN.estimators.parameters_estimator.ParametersEstimator.compute_parameters_for_node">compute_parameters_for_node() (PyCTBN.PyCTBN.estimators.parameters_estimator.ParametersEstimator method)</a> |
||||||
|
</li> |
||||||
|
<li><a href="PyCTBN.PyCTBN.utility.html#PyCTBN.PyCTBN.utility.abstract_importer.AbstractImporter.compute_row_delta_in_all_samples_frames">compute_row_delta_in_all_samples_frames() (PyCTBN.PyCTBN.utility.abstract_importer.AbstractImporter method)</a> |
||||||
|
</li> |
||||||
|
<li><a href="PyCTBN.PyCTBN.utility.html#PyCTBN.PyCTBN.utility.abstract_importer.AbstractImporter.compute_row_delta_sigle_samples_frame">compute_row_delta_sigle_samples_frame() (PyCTBN.PyCTBN.utility.abstract_importer.AbstractImporter method)</a> |
||||||
|
</li> |
||||||
|
<li><a href="PyCTBN.PyCTBN.estimators.html#PyCTBN.PyCTBN.estimators.parameters_estimator.ParametersEstimator.compute_state_res_time_for_node">compute_state_res_time_for_node() (PyCTBN.PyCTBN.estimators.parameters_estimator.ParametersEstimator static method)</a> |
||||||
|
</li> |
||||||
|
<li><a href="PyCTBN.PyCTBN.estimators.html#PyCTBN.PyCTBN.estimators.parameters_estimator.ParametersEstimator.compute_state_transitions_for_a_node">compute_state_transitions_for_a_node() (PyCTBN.PyCTBN.estimators.parameters_estimator.ParametersEstimator static method)</a> |
||||||
|
</li> |
||||||
|
<li><a href="PyCTBN.PyCTBN.estimators.html#PyCTBN.PyCTBN.estimators.structure_constraint_based_estimator.StructureConstraintBasedEstimator.compute_thumb_value">compute_thumb_value() (PyCTBN.PyCTBN.estimators.structure_constraint_based_estimator.StructureConstraintBasedEstimator method)</a> |
||||||
|
</li> |
||||||
|
<li><a href="PyCTBN.PyCTBN.utility.html#PyCTBN.PyCTBN.utility.abstract_importer.AbstractImporter.concatenated_samples">concatenated_samples() (PyCTBN.PyCTBN.utility.abstract_importer.AbstractImporter property)</a> |
||||||
|
</li> |
||||||
|
<li><a href="PyCTBN.PyCTBN.structure_graph.html#PyCTBN.PyCTBN.structure_graph.conditional_intensity_matrix.ConditionalIntensityMatrix">ConditionalIntensityMatrix (class in PyCTBN.PyCTBN.structure_graph.conditional_intensity_matrix)</a> |
||||||
|
</li> |
||||||
|
<li><a href="PyCTBN.PyCTBN.optimizers.html#PyCTBN.PyCTBN.optimizers.constraint_based_optimizer.ConstraintBasedOptimizer">ConstraintBasedOptimizer (class in PyCTBN.PyCTBN.optimizers.constraint_based_optimizer)</a> |
||||||
|
</li> |
||||||
|
<li><a href="PyCTBN.PyCTBN.structure_graph.html#PyCTBN.PyCTBN.structure_graph.structure.Structure.contains_edge">contains_edge() (PyCTBN.PyCTBN.structure_graph.structure.Structure method)</a> |
||||||
|
</li> |
||||||
|
<li><a href="PyCTBN.PyCTBN.estimators.html#PyCTBN.PyCTBN.estimators.structure_constraint_based_estimator.StructureConstraintBasedEstimator.ctpc_algorithm">ctpc_algorithm() (PyCTBN.PyCTBN.estimators.structure_constraint_based_estimator.StructureConstraintBasedEstimator method)</a> |
||||||
|
</li> |
||||||
|
</ul></td> |
||||||
|
</tr></table> |
||||||
|
|
||||||
|
<h2 id="D">D</h2> |
||||||
|
<table style="width: 100%" class="indextable genindextable"><tr> |
||||||
|
<td style="width: 33%; vertical-align: top;"><ul> |
||||||
|
<li><a href="PyCTBN.PyCTBN.utility.html#PyCTBN.PyCTBN.utility.abstract_importer.AbstractImporter.dataset_id">dataset_id() (PyCTBN.PyCTBN.utility.abstract_importer.AbstractImporter method)</a> |
||||||
|
|
||||||
|
<ul> |
||||||
|
<li><a href="PyCTBN.PyCTBN.utility.html#PyCTBN.PyCTBN.utility.json_importer.JsonImporter.dataset_id">(PyCTBN.PyCTBN.utility.json_importer.JsonImporter method)</a> |
||||||
|
</li> |
||||||
|
<li><a href="PyCTBN.PyCTBN.utility.html#PyCTBN.PyCTBN.utility.sample_importer.SampleImporter.dataset_id">(PyCTBN.PyCTBN.utility.sample_importer.SampleImporter method)</a> |
||||||
|
</li> |
||||||
|
</ul></li> |
||||||
|
</ul></td> |
||||||
|
</tr></table> |
||||||
|
|
||||||
|
<h2 id="E">E</h2> |
||||||
|
<table style="width: 100%" class="indextable genindextable"><tr> |
||||||
|
<td style="width: 33%; vertical-align: top;"><ul> |
||||||
|
<li><a href="PyCTBN.PyCTBN.structure_graph.html#PyCTBN.PyCTBN.structure_graph.network_graph.NetworkGraph.edges">edges() (PyCTBN.PyCTBN.structure_graph.network_graph.NetworkGraph property)</a> |
||||||
|
|
||||||
|
<ul> |
||||||
|
<li><a href="PyCTBN.PyCTBN.structure_graph.html#PyCTBN.PyCTBN.structure_graph.structure.Structure.edges">(PyCTBN.PyCTBN.structure_graph.structure.Structure property)</a> |
||||||
|
</li> |
||||||
|
</ul></li> |
||||||
|
<li><a href="PyCTBN.PyCTBN.estimators.html#PyCTBN.PyCTBN.estimators.structure_score_based_estimator.StructureScoreBasedEstimator.estimate_parents">estimate_parents() (PyCTBN.PyCTBN.estimators.structure_score_based_estimator.StructureScoreBasedEstimator method)</a> |
||||||
|
</li> |
||||||
|
</ul></td> |
||||||
|
<td style="width: 33%; vertical-align: top;"><ul> |
||||||
|
<li><a href="PyCTBN.PyCTBN.estimators.html#PyCTBN.PyCTBN.estimators.structure_constraint_based_estimator.StructureConstraintBasedEstimator.estimate_structure">estimate_structure() (PyCTBN.PyCTBN.estimators.structure_constraint_based_estimator.StructureConstraintBasedEstimator method)</a> |
||||||
|
|
||||||
|
<ul> |
||||||
|
<li><a href="PyCTBN.PyCTBN.estimators.html#PyCTBN.PyCTBN.estimators.structure_estimator.StructureEstimator.estimate_structure">(PyCTBN.PyCTBN.estimators.structure_estimator.StructureEstimator method)</a> |
||||||
|
</li> |
||||||
|
<li><a href="PyCTBN.PyCTBN.estimators.html#PyCTBN.PyCTBN.estimators.structure_score_based_estimator.StructureScoreBasedEstimator.estimate_structure">(PyCTBN.PyCTBN.estimators.structure_score_based_estimator.StructureScoreBasedEstimator method)</a> |
||||||
|
</li> |
||||||
|
</ul></li> |
||||||
|
</ul></td> |
||||||
|
</tr></table> |
||||||
|
|
||||||
|
<h2 id="F">F</h2> |
||||||
|
<table style="width: 100%" class="indextable genindextable"><tr> |
||||||
|
<td style="width: 33%; vertical-align: top;"><ul> |
||||||
|
<li><a href="PyCTBN.PyCTBN.estimators.html#PyCTBN.PyCTBN.estimators.fam_score_calculator.FamScoreCalculator">FamScoreCalculator (class in PyCTBN.PyCTBN.estimators.fam_score_calculator)</a> |
||||||
|
</li> |
||||||
|
<li><a href="PyCTBN.PyCTBN.estimators.html#PyCTBN.PyCTBN.estimators.parameters_estimator.ParametersEstimator.fast_init">fast_init() (PyCTBN.PyCTBN.estimators.parameters_estimator.ParametersEstimator method)</a> |
||||||
|
|
||||||
|
<ul> |
||||||
|
<li><a href="PyCTBN.PyCTBN.structure_graph.html#PyCTBN.PyCTBN.structure_graph.network_graph.NetworkGraph.fast_init">(PyCTBN.PyCTBN.structure_graph.network_graph.NetworkGraph method)</a> |
||||||
|
</li> |
||||||
|
</ul></li> |
||||||
|
</ul></td> |
||||||
|
<td style="width: 33%; vertical-align: top;"><ul> |
||||||
|
<li><a href="PyCTBN.PyCTBN.utility.html#PyCTBN.PyCTBN.utility.abstract_importer.AbstractImporter.file_path">file_path() (PyCTBN.PyCTBN.utility.abstract_importer.AbstractImporter property)</a> |
||||||
|
</li> |
||||||
|
<li><a href="PyCTBN.PyCTBN.structure_graph.html#PyCTBN.PyCTBN.structure_graph.set_of_cims.SetOfCims.filter_cims_with_mask">filter_cims_with_mask() (PyCTBN.PyCTBN.structure_graph.set_of_cims.SetOfCims method)</a> |
||||||
|
</li> |
||||||
|
<li><a href="PyCTBN.PyCTBN.utility.html#PyCTBN.PyCTBN.utility.cache.Cache.find">find() (PyCTBN.PyCTBN.utility.cache.Cache method)</a> |
||||||
|
</li> |
||||||
|
</ul></td> |
||||||
|
</tr></table> |
||||||
|
|
||||||
|
<h2 id="G">G</h2> |
||||||
|
<table style="width: 100%" class="indextable genindextable"><tr> |
||||||
|
<td style="width: 33%; vertical-align: top;"><ul> |
||||||
|
<li><a href="PyCTBN.PyCTBN.estimators.html#PyCTBN.PyCTBN.estimators.structure_estimator.StructureEstimator.generate_possible_sub_sets_of_size">generate_possible_sub_sets_of_size() (PyCTBN.PyCTBN.estimators.structure_estimator.StructureEstimator static method)</a> |
||||||
|
</li> |
||||||
|
<li><a href="PyCTBN.PyCTBN.structure_graph.html#PyCTBN.PyCTBN.structure_graph.set_of_cims.SetOfCims.get_cims_number">get_cims_number() (PyCTBN.PyCTBN.structure_graph.set_of_cims.SetOfCims method)</a> |
||||||
|
</li> |
||||||
|
<li><a href="PyCTBN.PyCTBN.estimators.html#PyCTBN.PyCTBN.estimators.fam_score_calculator.FamScoreCalculator.get_fam_score">get_fam_score() (PyCTBN.PyCTBN.estimators.fam_score_calculator.FamScoreCalculator method)</a> |
||||||
|
</li> |
||||||
|
<li><a href="PyCTBN.PyCTBN.structure_graph.html#PyCTBN.PyCTBN.structure_graph.structure.Structure.get_node_id">get_node_id() (PyCTBN.PyCTBN.structure_graph.structure.Structure method)</a> |
||||||
|
</li> |
||||||
|
<li><a href="PyCTBN.PyCTBN.structure_graph.html#PyCTBN.PyCTBN.structure_graph.network_graph.NetworkGraph.get_node_indx">get_node_indx() (PyCTBN.PyCTBN.structure_graph.network_graph.NetworkGraph method)</a> |
||||||
|
|
||||||
|
<ul> |
||||||
|
<li><a href="PyCTBN.PyCTBN.structure_graph.html#PyCTBN.PyCTBN.structure_graph.structure.Structure.get_node_indx">(PyCTBN.PyCTBN.structure_graph.structure.Structure method)</a> |
||||||
|
</li> |
||||||
|
</ul></li> |
||||||
|
</ul></td> |
||||||
|
<td style="width: 33%; vertical-align: top;"><ul> |
||||||
|
<li><a href="PyCTBN.PyCTBN.structure_graph.html#PyCTBN.PyCTBN.structure_graph.network_graph.NetworkGraph.get_ordered_by_indx_set_of_parents">get_ordered_by_indx_set_of_parents() (PyCTBN.PyCTBN.structure_graph.network_graph.NetworkGraph method)</a> |
||||||
|
</li> |
||||||
|
<li><a href="PyCTBN.PyCTBN.structure_graph.html#PyCTBN.PyCTBN.structure_graph.network_graph.NetworkGraph.get_parents_by_id">get_parents_by_id() (PyCTBN.PyCTBN.structure_graph.network_graph.NetworkGraph method)</a> |
||||||
|
</li> |
||||||
|
<li><a href="PyCTBN.PyCTBN.structure_graph.html#PyCTBN.PyCTBN.structure_graph.network_graph.NetworkGraph.get_positional_node_indx">get_positional_node_indx() (PyCTBN.PyCTBN.structure_graph.network_graph.NetworkGraph method)</a> |
||||||
|
|
||||||
|
<ul> |
||||||
|
<li><a href="PyCTBN.PyCTBN.structure_graph.html#PyCTBN.PyCTBN.structure_graph.structure.Structure.get_positional_node_indx">(PyCTBN.PyCTBN.structure_graph.structure.Structure method)</a> |
||||||
|
</li> |
||||||
|
</ul></li> |
||||||
|
<li><a href="PyCTBN.PyCTBN.estimators.html#PyCTBN.PyCTBN.estimators.structure_score_based_estimator.StructureScoreBasedEstimator.get_score_from_graph">get_score_from_graph() (PyCTBN.PyCTBN.estimators.structure_score_based_estimator.StructureScoreBasedEstimator method)</a> |
||||||
|
</li> |
||||||
|
<li><a href="PyCTBN.PyCTBN.structure_graph.html#PyCTBN.PyCTBN.structure_graph.network_graph.NetworkGraph.get_states_number">get_states_number() (PyCTBN.PyCTBN.structure_graph.network_graph.NetworkGraph method)</a> |
||||||
|
|
||||||
|
<ul> |
||||||
|
<li><a href="PyCTBN.PyCTBN.structure_graph.html#PyCTBN.PyCTBN.structure_graph.structure.Structure.get_states_number">(PyCTBN.PyCTBN.structure_graph.structure.Structure method)</a> |
||||||
|
</li> |
||||||
|
</ul></li> |
||||||
|
</ul></td> |
||||||
|
</tr></table> |
||||||
|
|
||||||
|
<h2 id="H">H</h2> |
||||||
|
<table style="width: 100%" class="indextable genindextable"><tr> |
||||||
|
<td style="width: 33%; vertical-align: top;"><ul> |
||||||
|
<li><a href="PyCTBN.PyCTBN.structure_graph.html#PyCTBN.PyCTBN.structure_graph.network_graph.NetworkGraph.has_edge">has_edge() (PyCTBN.PyCTBN.structure_graph.network_graph.NetworkGraph method)</a> |
||||||
|
</li> |
||||||
|
</ul></td> |
||||||
|
<td style="width: 33%; vertical-align: top;"><ul> |
||||||
|
<li><a href="PyCTBN.PyCTBN.structure_graph.html#PyCTBN.PyCTBN.structure_graph.sample_path.SamplePath.has_prior_net_structure">has_prior_net_structure() (PyCTBN.PyCTBN.structure_graph.sample_path.SamplePath property)</a> |
||||||
|
</li> |
||||||
|
<li><a href="PyCTBN.PyCTBN.optimizers.html#PyCTBN.PyCTBN.optimizers.hill_climbing_search.HillClimbing">HillClimbing (class in PyCTBN.PyCTBN.optimizers.hill_climbing_search)</a> |
||||||
|
</li> |
||||||
|
</ul></td> |
||||||
|
</tr></table> |
||||||
|
|
||||||
|
<h2 id="I">I</h2> |
||||||
|
<table style="width: 100%" class="indextable genindextable"><tr> |
||||||
|
<td style="width: 33%; vertical-align: top;"><ul> |
||||||
|
<li><a href="PyCTBN.PyCTBN.utility.html#PyCTBN.PyCTBN.utility.json_importer.JsonImporter.import_data">import_data() (PyCTBN.PyCTBN.utility.json_importer.JsonImporter method)</a> |
||||||
|
|
||||||
|
<ul> |
||||||
|
<li><a href="PyCTBN.PyCTBN.utility.html#PyCTBN.PyCTBN.utility.sample_importer.SampleImporter.import_data">(PyCTBN.PyCTBN.utility.sample_importer.SampleImporter method)</a> |
||||||
|
</li> |
||||||
|
</ul></li> |
||||||
|
<li><a href="PyCTBN.PyCTBN.utility.html#PyCTBN.PyCTBN.utility.json_importer.JsonImporter.import_sampled_cims">import_sampled_cims() (PyCTBN.PyCTBN.utility.json_importer.JsonImporter method)</a> |
||||||
|
</li> |
||||||
|
</ul></td> |
||||||
|
<td style="width: 33%; vertical-align: top;"><ul> |
||||||
|
<li><a href="PyCTBN.PyCTBN.utility.html#PyCTBN.PyCTBN.utility.json_importer.JsonImporter.import_structure">import_structure() (PyCTBN.PyCTBN.utility.json_importer.JsonImporter method)</a> |
||||||
|
</li> |
||||||
|
<li><a href="PyCTBN.PyCTBN.utility.html#PyCTBN.PyCTBN.utility.json_importer.JsonImporter.import_trajectories">import_trajectories() (PyCTBN.PyCTBN.utility.json_importer.JsonImporter method)</a> |
||||||
|
</li> |
||||||
|
<li><a href="PyCTBN.PyCTBN.utility.html#PyCTBN.PyCTBN.utility.json_importer.JsonImporter.import_variables">import_variables() (PyCTBN.PyCTBN.utility.json_importer.JsonImporter method)</a> |
||||||
|
</li> |
||||||
|
<li><a href="PyCTBN.PyCTBN.estimators.html#PyCTBN.PyCTBN.estimators.structure_constraint_based_estimator.StructureConstraintBasedEstimator.independence_test">independence_test() (PyCTBN.PyCTBN.estimators.structure_constraint_based_estimator.StructureConstraintBasedEstimator method)</a> |
||||||
|
</li> |
||||||
|
</ul></td> |
||||||
|
</tr></table> |
||||||
|
|
||||||
|
<h2 id="J">J</h2> |
||||||
|
<table style="width: 100%" class="indextable genindextable"><tr> |
||||||
|
<td style="width: 33%; vertical-align: top;"><ul> |
||||||
|
<li><a href="PyCTBN.PyCTBN.utility.html#PyCTBN.PyCTBN.utility.json_importer.JsonImporter">JsonImporter (class in PyCTBN.PyCTBN.utility.json_importer)</a> |
||||||
|
</li> |
||||||
|
</ul></td> |
||||||
|
</tr></table> |
||||||
|
|
||||||
|
<h2 id="M">M</h2> |
||||||
|
<table style="width: 100%" class="indextable genindextable"><tr> |
||||||
|
<td style="width: 33%; vertical-align: top;"><ul> |
||||||
|
<li><a href="PyCTBN.PyCTBN.estimators.html#PyCTBN.PyCTBN.estimators.fam_score_calculator.FamScoreCalculator.marginal_likelihood_q">marginal_likelihood_q() (PyCTBN.PyCTBN.estimators.fam_score_calculator.FamScoreCalculator method)</a> |
||||||
|
</li> |
||||||
|
<li><a href="PyCTBN.PyCTBN.estimators.html#PyCTBN.PyCTBN.estimators.fam_score_calculator.FamScoreCalculator.marginal_likelihood_theta">marginal_likelihood_theta() (PyCTBN.PyCTBN.estimators.fam_score_calculator.FamScoreCalculator method)</a> |
||||||
|
</li> |
||||||
|
<li> |
||||||
|
module |
||||||
|
|
||||||
|
<ul> |
||||||
|
<li><a href="PyCTBN.html#module-PyCTBN">PyCTBN</a> |
||||||
|
</li> |
||||||
|
<li><a href="PyCTBN.PyCTBN.html#module-PyCTBN.PyCTBN">PyCTBN.PyCTBN</a> |
||||||
|
</li> |
||||||
|
<li><a href="PyCTBN.PyCTBN.estimators.html#module-PyCTBN.PyCTBN.estimators">PyCTBN.PyCTBN.estimators</a> |
||||||
|
</li> |
||||||
|
<li><a href="PyCTBN.PyCTBN.estimators.html#module-PyCTBN.PyCTBN.estimators.fam_score_calculator">PyCTBN.PyCTBN.estimators.fam_score_calculator</a> |
||||||
|
</li> |
||||||
|
<li><a href="PyCTBN.PyCTBN.estimators.html#module-PyCTBN.PyCTBN.estimators.parameters_estimator">PyCTBN.PyCTBN.estimators.parameters_estimator</a> |
||||||
|
</li> |
||||||
|
<li><a href="PyCTBN.PyCTBN.estimators.html#module-PyCTBN.PyCTBN.estimators.structure_constraint_based_estimator">PyCTBN.PyCTBN.estimators.structure_constraint_based_estimator</a> |
||||||
|
</li> |
||||||
|
<li><a href="PyCTBN.PyCTBN.estimators.html#module-PyCTBN.PyCTBN.estimators.structure_estimator">PyCTBN.PyCTBN.estimators.structure_estimator</a> |
||||||
|
</li> |
||||||
|
<li><a href="PyCTBN.PyCTBN.estimators.html#module-PyCTBN.PyCTBN.estimators.structure_score_based_estimator">PyCTBN.PyCTBN.estimators.structure_score_based_estimator</a> |
||||||
|
</li> |
||||||
|
<li><a href="PyCTBN.PyCTBN.optimizers.html#module-PyCTBN.PyCTBN.optimizers">PyCTBN.PyCTBN.optimizers</a> |
||||||
|
</li> |
||||||
|
<li><a href="PyCTBN.PyCTBN.optimizers.html#module-PyCTBN.PyCTBN.optimizers.constraint_based_optimizer">PyCTBN.PyCTBN.optimizers.constraint_based_optimizer</a> |
||||||
|
</li> |
||||||
|
<li><a href="PyCTBN.PyCTBN.optimizers.html#module-PyCTBN.PyCTBN.optimizers.hill_climbing_search">PyCTBN.PyCTBN.optimizers.hill_climbing_search</a> |
||||||
|
</li> |
||||||
|
<li><a href="PyCTBN.PyCTBN.optimizers.html#module-PyCTBN.PyCTBN.optimizers.optimizer">PyCTBN.PyCTBN.optimizers.optimizer</a> |
||||||
|
</li> |
||||||
|
<li><a href="PyCTBN.PyCTBN.optimizers.html#module-PyCTBN.PyCTBN.optimizers.tabu_search">PyCTBN.PyCTBN.optimizers.tabu_search</a> |
||||||
|
</li> |
||||||
|
<li><a href="PyCTBN.PyCTBN.structure_graph.html#module-PyCTBN.PyCTBN.structure_graph">PyCTBN.PyCTBN.structure_graph</a> |
||||||
|
</li> |
||||||
|
<li><a href="PyCTBN.PyCTBN.structure_graph.html#module-PyCTBN.PyCTBN.structure_graph.conditional_intensity_matrix">PyCTBN.PyCTBN.structure_graph.conditional_intensity_matrix</a> |
||||||
|
</li> |
||||||
|
<li><a href="PyCTBN.PyCTBN.structure_graph.html#module-PyCTBN.PyCTBN.structure_graph.network_graph">PyCTBN.PyCTBN.structure_graph.network_graph</a> |
||||||
|
</li> |
||||||
|
<li><a href="PyCTBN.PyCTBN.structure_graph.html#module-PyCTBN.PyCTBN.structure_graph.sample_path">PyCTBN.PyCTBN.structure_graph.sample_path</a> |
||||||
|
</li> |
||||||
|
<li><a href="PyCTBN.PyCTBN.structure_graph.html#module-PyCTBN.PyCTBN.structure_graph.set_of_cims">PyCTBN.PyCTBN.structure_graph.set_of_cims</a> |
||||||
|
</li> |
||||||
|
<li><a href="PyCTBN.PyCTBN.structure_graph.html#module-PyCTBN.PyCTBN.structure_graph.structure">PyCTBN.PyCTBN.structure_graph.structure</a> |
||||||
|
</li> |
||||||
|
<li><a href="PyCTBN.PyCTBN.structure_graph.html#module-PyCTBN.PyCTBN.structure_graph.trajectory">PyCTBN.PyCTBN.structure_graph.trajectory</a> |
||||||
|
</li> |
||||||
|
<li><a href="PyCTBN.PyCTBN.utility.html#module-PyCTBN.PyCTBN.utility">PyCTBN.PyCTBN.utility</a> |
||||||
|
</li> |
||||||
|
<li><a href="PyCTBN.PyCTBN.utility.html#module-PyCTBN.PyCTBN.utility.abstract_importer">PyCTBN.PyCTBN.utility.abstract_importer</a> |
||||||
|
</li> |
||||||
|
<li><a href="PyCTBN.PyCTBN.utility.html#module-PyCTBN.PyCTBN.utility.cache">PyCTBN.PyCTBN.utility.cache</a> |
||||||
|
</li> |
||||||
|
<li><a href="PyCTBN.PyCTBN.utility.html#module-PyCTBN.PyCTBN.utility.json_importer">PyCTBN.PyCTBN.utility.json_importer</a> |
||||||
|
</li> |
||||||
|
<li><a href="PyCTBN.PyCTBN.utility.html#module-PyCTBN.PyCTBN.utility.sample_importer">PyCTBN.PyCTBN.utility.sample_importer</a> |
||||||
|
</li> |
||||||
|
</ul></li> |
||||||
|
</ul></td> |
||||||
|
</tr></table> |
||||||
|
|
||||||
|
<h2 id="N">N</h2> |
||||||
|
<table style="width: 100%" class="indextable genindextable"><tr> |
||||||
|
<td style="width: 33%; vertical-align: top;"><ul> |
||||||
|
<li><a href="PyCTBN.PyCTBN.structure_graph.html#PyCTBN.PyCTBN.structure_graph.network_graph.NetworkGraph">NetworkGraph (class in PyCTBN.PyCTBN.structure_graph.network_graph)</a> |
||||||
|
</li> |
||||||
|
<li><a href="PyCTBN.PyCTBN.structure_graph.html#PyCTBN.PyCTBN.structure_graph.network_graph.NetworkGraph.nodes">nodes() (PyCTBN.PyCTBN.structure_graph.network_graph.NetworkGraph property)</a> |
||||||
|
</li> |
||||||
|
<li><a href="PyCTBN.PyCTBN.structure_graph.html#PyCTBN.PyCTBN.structure_graph.network_graph.NetworkGraph.nodes_indexes">nodes_indexes() (PyCTBN.PyCTBN.structure_graph.network_graph.NetworkGraph property)</a> |
||||||
|
|
||||||
|
<ul> |
||||||
|
<li><a href="PyCTBN.PyCTBN.structure_graph.html#PyCTBN.PyCTBN.structure_graph.structure.Structure.nodes_indexes">(PyCTBN.PyCTBN.structure_graph.structure.Structure property)</a> |
||||||
|
</li> |
||||||
|
</ul></li> |
||||||
|
</ul></td> |
||||||
|
<td style="width: 33%; vertical-align: top;"><ul> |
||||||
|
<li><a href="PyCTBN.PyCTBN.structure_graph.html#PyCTBN.PyCTBN.structure_graph.structure.Structure.nodes_labels">nodes_labels() (PyCTBN.PyCTBN.structure_graph.structure.Structure property)</a> |
||||||
|
</li> |
||||||
|
<li><a href="PyCTBN.PyCTBN.structure_graph.html#PyCTBN.PyCTBN.structure_graph.network_graph.NetworkGraph.nodes_values">nodes_values() (PyCTBN.PyCTBN.structure_graph.network_graph.NetworkGraph property)</a> |
||||||
|
|
||||||
|
<ul> |
||||||
|
<li><a href="PyCTBN.PyCTBN.structure_graph.html#PyCTBN.PyCTBN.structure_graph.structure.Structure.nodes_values">(PyCTBN.PyCTBN.structure_graph.structure.Structure property)</a> |
||||||
|
</li> |
||||||
|
</ul></li> |
||||||
|
<li><a href="PyCTBN.PyCTBN.utility.html#PyCTBN.PyCTBN.utility.json_importer.JsonImporter.normalize_trajectories">normalize_trajectories() (PyCTBN.PyCTBN.utility.json_importer.JsonImporter method)</a> |
||||||
|
</li> |
||||||
|
</ul></td> |
||||||
|
</tr></table> |
||||||
|
|
||||||
|
<h2 id="O">O</h2> |
||||||
|
<table style="width: 100%" class="indextable genindextable"><tr> |
||||||
|
<td style="width: 33%; vertical-align: top;"><ul> |
||||||
|
<li><a href="PyCTBN.PyCTBN.estimators.html#PyCTBN.PyCTBN.estimators.structure_constraint_based_estimator.StructureConstraintBasedEstimator.one_iteration_of_CTPC_algorithm">one_iteration_of_CTPC_algorithm() (PyCTBN.PyCTBN.estimators.structure_constraint_based_estimator.StructureConstraintBasedEstimator method)</a> |
||||||
|
</li> |
||||||
|
<li><a href="PyCTBN.PyCTBN.utility.html#PyCTBN.PyCTBN.utility.json_importer.JsonImporter.one_level_normalizing">one_level_normalizing() (PyCTBN.PyCTBN.utility.json_importer.JsonImporter method)</a> |
||||||
|
</li> |
||||||
|
<li><a href="PyCTBN.PyCTBN.optimizers.html#PyCTBN.PyCTBN.optimizers.constraint_based_optimizer.ConstraintBasedOptimizer.optimize_structure">optimize_structure() (PyCTBN.PyCTBN.optimizers.constraint_based_optimizer.ConstraintBasedOptimizer method)</a> |
||||||
|
|
||||||
|
<ul> |
||||||
|
<li><a href="PyCTBN.PyCTBN.optimizers.html#PyCTBN.PyCTBN.optimizers.hill_climbing_search.HillClimbing.optimize_structure">(PyCTBN.PyCTBN.optimizers.hill_climbing_search.HillClimbing method)</a> |
||||||
|
</li> |
||||||
|
<li><a href="PyCTBN.PyCTBN.optimizers.html#PyCTBN.PyCTBN.optimizers.optimizer.Optimizer.optimize_structure">(PyCTBN.PyCTBN.optimizers.optimizer.Optimizer method)</a> |
||||||
|
</li> |
||||||
|
<li><a href="PyCTBN.PyCTBN.optimizers.html#PyCTBN.PyCTBN.optimizers.tabu_search.TabuSearch.optimize_structure">(PyCTBN.PyCTBN.optimizers.tabu_search.TabuSearch method)</a> |
||||||
|
</li> |
||||||
|
</ul></li> |
||||||
|
</ul></td> |
||||||
|
<td style="width: 33%; vertical-align: top;"><ul> |
||||||
|
<li><a href="PyCTBN.PyCTBN.optimizers.html#PyCTBN.PyCTBN.optimizers.optimizer.Optimizer">Optimizer (class in PyCTBN.PyCTBN.optimizers.optimizer)</a> |
||||||
|
</li> |
||||||
|
</ul></td> |
||||||
|
</tr></table> |
||||||
|
|
||||||
|
<h2 id="P">P</h2> |
||||||
|
<table style="width: 100%" class="indextable genindextable"><tr> |
||||||
|
<td style="width: 33%; vertical-align: top;"><ul> |
||||||
|
<li><a href="PyCTBN.PyCTBN.structure_graph.html#PyCTBN.PyCTBN.structure_graph.network_graph.NetworkGraph.p_combs">p_combs() (PyCTBN.PyCTBN.structure_graph.network_graph.NetworkGraph property)</a> |
||||||
|
|
||||||
|
<ul> |
||||||
|
<li><a href="PyCTBN.PyCTBN.structure_graph.html#PyCTBN.PyCTBN.structure_graph.set_of_cims.SetOfCims.p_combs">(PyCTBN.PyCTBN.structure_graph.set_of_cims.SetOfCims property)</a> |
||||||
|
</li> |
||||||
|
</ul></li> |
||||||
|
<li><a href="PyCTBN.PyCTBN.estimators.html#PyCTBN.PyCTBN.estimators.parameters_estimator.ParametersEstimator">ParametersEstimator (class in PyCTBN.PyCTBN.estimators.parameters_estimator)</a> |
||||||
|
</li> |
||||||
|
<li><a href="PyCTBN.PyCTBN.utility.html#PyCTBN.PyCTBN.utility.cache.Cache.put">put() (PyCTBN.PyCTBN.utility.cache.Cache method)</a> |
||||||
|
</li> |
||||||
|
<li> |
||||||
|
PyCTBN |
||||||
|
|
||||||
|
<ul> |
||||||
|
<li><a href="PyCTBN.html#module-PyCTBN">module</a> |
||||||
|
</li> |
||||||
|
</ul></li> |
||||||
|
<li> |
||||||
|
PyCTBN.PyCTBN |
||||||
|
|
||||||
|
<ul> |
||||||
|
<li><a href="PyCTBN.PyCTBN.html#module-PyCTBN.PyCTBN">module</a> |
||||||
|
</li> |
||||||
|
</ul></li> |
||||||
|
<li> |
||||||
|
PyCTBN.PyCTBN.estimators |
||||||
|
|
||||||
|
<ul> |
||||||
|
<li><a href="PyCTBN.PyCTBN.estimators.html#module-PyCTBN.PyCTBN.estimators">module</a> |
||||||
|
</li> |
||||||
|
</ul></li> |
||||||
|
<li> |
||||||
|
PyCTBN.PyCTBN.estimators.fam_score_calculator |
||||||
|
|
||||||
|
<ul> |
||||||
|
<li><a href="PyCTBN.PyCTBN.estimators.html#module-PyCTBN.PyCTBN.estimators.fam_score_calculator">module</a> |
||||||
|
</li> |
||||||
|
</ul></li> |
||||||
|
<li> |
||||||
|
PyCTBN.PyCTBN.estimators.parameters_estimator |
||||||
|
|
||||||
|
<ul> |
||||||
|
<li><a href="PyCTBN.PyCTBN.estimators.html#module-PyCTBN.PyCTBN.estimators.parameters_estimator">module</a> |
||||||
|
</li> |
||||||
|
</ul></li> |
||||||
|
<li> |
||||||
|
PyCTBN.PyCTBN.estimators.structure_constraint_based_estimator |
||||||
|
|
||||||
|
<ul> |
||||||
|
<li><a href="PyCTBN.PyCTBN.estimators.html#module-PyCTBN.PyCTBN.estimators.structure_constraint_based_estimator">module</a> |
||||||
|
</li> |
||||||
|
</ul></li> |
||||||
|
<li> |
||||||
|
PyCTBN.PyCTBN.estimators.structure_estimator |
||||||
|
|
||||||
|
<ul> |
||||||
|
<li><a href="PyCTBN.PyCTBN.estimators.html#module-PyCTBN.PyCTBN.estimators.structure_estimator">module</a> |
||||||
|
</li> |
||||||
|
</ul></li> |
||||||
|
<li> |
||||||
|
PyCTBN.PyCTBN.estimators.structure_score_based_estimator |
||||||
|
|
||||||
|
<ul> |
||||||
|
<li><a href="PyCTBN.PyCTBN.estimators.html#module-PyCTBN.PyCTBN.estimators.structure_score_based_estimator">module</a> |
||||||
|
</li> |
||||||
|
</ul></li> |
||||||
|
<li> |
||||||
|
PyCTBN.PyCTBN.optimizers |
||||||
|
|
||||||
|
<ul> |
||||||
|
<li><a href="PyCTBN.PyCTBN.optimizers.html#module-PyCTBN.PyCTBN.optimizers">module</a> |
||||||
|
</li> |
||||||
|
</ul></li> |
||||||
|
<li> |
||||||
|
PyCTBN.PyCTBN.optimizers.constraint_based_optimizer |
||||||
|
|
||||||
|
<ul> |
||||||
|
<li><a href="PyCTBN.PyCTBN.optimizers.html#module-PyCTBN.PyCTBN.optimizers.constraint_based_optimizer">module</a> |
||||||
|
</li> |
||||||
|
</ul></li> |
||||||
|
<li> |
||||||
|
PyCTBN.PyCTBN.optimizers.hill_climbing_search |
||||||
|
|
||||||
|
<ul> |
||||||
|
<li><a href="PyCTBN.PyCTBN.optimizers.html#module-PyCTBN.PyCTBN.optimizers.hill_climbing_search">module</a> |
||||||
|
</li> |
||||||
|
</ul></li> |
||||||
|
<li> |
||||||
|
PyCTBN.PyCTBN.optimizers.optimizer |
||||||
|
|
||||||
|
<ul> |
||||||
|
<li><a href="PyCTBN.PyCTBN.optimizers.html#module-PyCTBN.PyCTBN.optimizers.optimizer">module</a> |
||||||
|
</li> |
||||||
|
</ul></li> |
||||||
|
</ul></td> |
||||||
|
<td style="width: 33%; vertical-align: top;"><ul> |
||||||
|
<li> |
||||||
|
PyCTBN.PyCTBN.optimizers.tabu_search |
||||||
|
|
||||||
|
<ul> |
||||||
|
<li><a href="PyCTBN.PyCTBN.optimizers.html#module-PyCTBN.PyCTBN.optimizers.tabu_search">module</a> |
||||||
|
</li> |
||||||
|
</ul></li> |
||||||
|
<li> |
||||||
|
PyCTBN.PyCTBN.structure_graph |
||||||
|
|
||||||
|
<ul> |
||||||
|
<li><a href="PyCTBN.PyCTBN.structure_graph.html#module-PyCTBN.PyCTBN.structure_graph">module</a> |
||||||
|
</li> |
||||||
|
</ul></li> |
||||||
|
<li> |
||||||
|
PyCTBN.PyCTBN.structure_graph.conditional_intensity_matrix |
||||||
|
|
||||||
|
<ul> |
||||||
|
<li><a href="PyCTBN.PyCTBN.structure_graph.html#module-PyCTBN.PyCTBN.structure_graph.conditional_intensity_matrix">module</a> |
||||||
|
</li> |
||||||
|
</ul></li> |
||||||
|
<li> |
||||||
|
PyCTBN.PyCTBN.structure_graph.network_graph |
||||||
|
|
||||||
|
<ul> |
||||||
|
<li><a href="PyCTBN.PyCTBN.structure_graph.html#module-PyCTBN.PyCTBN.structure_graph.network_graph">module</a> |
||||||
|
</li> |
||||||
|
</ul></li> |
||||||
|
<li> |
||||||
|
PyCTBN.PyCTBN.structure_graph.sample_path |
||||||
|
|
||||||
|
<ul> |
||||||
|
<li><a href="PyCTBN.PyCTBN.structure_graph.html#module-PyCTBN.PyCTBN.structure_graph.sample_path">module</a> |
||||||
|
</li> |
||||||
|
</ul></li> |
||||||
|
<li> |
||||||
|
PyCTBN.PyCTBN.structure_graph.set_of_cims |
||||||
|
|
||||||
|
<ul> |
||||||
|
<li><a href="PyCTBN.PyCTBN.structure_graph.html#module-PyCTBN.PyCTBN.structure_graph.set_of_cims">module</a> |
||||||
|
</li> |
||||||
|
</ul></li> |
||||||
|
<li> |
||||||
|
PyCTBN.PyCTBN.structure_graph.structure |
||||||
|
|
||||||
|
<ul> |
||||||
|
<li><a href="PyCTBN.PyCTBN.structure_graph.html#module-PyCTBN.PyCTBN.structure_graph.structure">module</a> |
||||||
|
</li> |
||||||
|
</ul></li> |
||||||
|
<li> |
||||||
|
PyCTBN.PyCTBN.structure_graph.trajectory |
||||||
|
|
||||||
|
<ul> |
||||||
|
<li><a href="PyCTBN.PyCTBN.structure_graph.html#module-PyCTBN.PyCTBN.structure_graph.trajectory">module</a> |
||||||
|
</li> |
||||||
|
</ul></li> |
||||||
|
<li> |
||||||
|
PyCTBN.PyCTBN.utility |
||||||
|
|
||||||
|
<ul> |
||||||
|
<li><a href="PyCTBN.PyCTBN.utility.html#module-PyCTBN.PyCTBN.utility">module</a> |
||||||
|
</li> |
||||||
|
</ul></li> |
||||||
|
<li> |
||||||
|
PyCTBN.PyCTBN.utility.abstract_importer |
||||||
|
|
||||||
|
<ul> |
||||||
|
<li><a href="PyCTBN.PyCTBN.utility.html#module-PyCTBN.PyCTBN.utility.abstract_importer">module</a> |
||||||
|
</li> |
||||||
|
</ul></li> |
||||||
|
<li> |
||||||
|
PyCTBN.PyCTBN.utility.cache |
||||||
|
|
||||||
|
<ul> |
||||||
|
<li><a href="PyCTBN.PyCTBN.utility.html#module-PyCTBN.PyCTBN.utility.cache">module</a> |
||||||
|
</li> |
||||||
|
</ul></li> |
||||||
|
<li> |
||||||
|
PyCTBN.PyCTBN.utility.json_importer |
||||||
|
|
||||||
|
<ul> |
||||||
|
<li><a href="PyCTBN.PyCTBN.utility.html#module-PyCTBN.PyCTBN.utility.json_importer">module</a> |
||||||
|
</li> |
||||||
|
</ul></li> |
||||||
|
<li> |
||||||
|
PyCTBN.PyCTBN.utility.sample_importer |
||||||
|
|
||||||
|
<ul> |
||||||
|
<li><a href="PyCTBN.PyCTBN.utility.html#module-PyCTBN.PyCTBN.utility.sample_importer">module</a> |
||||||
|
</li> |
||||||
|
</ul></li> |
||||||
|
</ul></td> |
||||||
|
</tr></table> |
||||||
|
|
||||||
|
<h2 id="R">R</h2> |
||||||
|
<table style="width: 100%" class="indextable genindextable"><tr> |
||||||
|
<td style="width: 33%; vertical-align: top;"><ul> |
||||||
|
<li><a href="PyCTBN.PyCTBN.utility.html#PyCTBN.PyCTBN.utility.json_importer.JsonImporter.read_json_file">read_json_file() (PyCTBN.PyCTBN.utility.json_importer.JsonImporter method)</a> |
||||||
|
</li> |
||||||
|
<li><a href="PyCTBN.PyCTBN.structure_graph.html#PyCTBN.PyCTBN.structure_graph.structure.Structure.remove_edge">remove_edge() (PyCTBN.PyCTBN.structure_graph.structure.Structure method)</a> |
||||||
|
</li> |
||||||
|
</ul></td> |
||||||
|
<td style="width: 33%; vertical-align: top;"><ul> |
||||||
|
<li><a href="PyCTBN.PyCTBN.structure_graph.html#PyCTBN.PyCTBN.structure_graph.network_graph.NetworkGraph.remove_edges">remove_edges() (PyCTBN.PyCTBN.structure_graph.network_graph.NetworkGraph method)</a> |
||||||
|
</li> |
||||||
|
<li><a href="PyCTBN.PyCTBN.structure_graph.html#PyCTBN.PyCTBN.structure_graph.network_graph.NetworkGraph.remove_node">remove_node() (PyCTBN.PyCTBN.structure_graph.network_graph.NetworkGraph method)</a> |
||||||
|
|
||||||
|
<ul> |
||||||
|
<li><a href="PyCTBN.PyCTBN.structure_graph.html#PyCTBN.PyCTBN.structure_graph.structure.Structure.remove_node">(PyCTBN.PyCTBN.structure_graph.structure.Structure method)</a> |
||||||
|
</li> |
||||||
|
</ul></li> |
||||||
|
</ul></td> |
||||||
|
</tr></table> |
||||||
|
|
||||||
|
<h2 id="S">S</h2> |
||||||
|
<table style="width: 100%" class="indextable genindextable"><tr> |
||||||
|
<td style="width: 33%; vertical-align: top;"><ul> |
||||||
|
<li><a href="PyCTBN.PyCTBN.utility.html#PyCTBN.PyCTBN.utility.sample_importer.SampleImporter">SampleImporter (class in PyCTBN.PyCTBN.utility.sample_importer)</a> |
||||||
|
</li> |
||||||
|
<li><a href="PyCTBN.PyCTBN.structure_graph.html#PyCTBN.PyCTBN.structure_graph.sample_path.SamplePath">SamplePath (class in PyCTBN.PyCTBN.structure_graph.sample_path)</a> |
||||||
|
</li> |
||||||
|
<li><a href="PyCTBN.PyCTBN.estimators.html#PyCTBN.PyCTBN.estimators.structure_estimator.StructureEstimator.save_plot_estimated_structure_graph">save_plot_estimated_structure_graph() (PyCTBN.PyCTBN.estimators.structure_estimator.StructureEstimator method)</a> |
||||||
|
</li> |
||||||
|
<li><a href="PyCTBN.PyCTBN.estimators.html#PyCTBN.PyCTBN.estimators.structure_estimator.StructureEstimator.save_results">save_results() (PyCTBN.PyCTBN.estimators.structure_estimator.StructureEstimator method)</a> |
||||||
|
</li> |
||||||
|
<li><a href="PyCTBN.PyCTBN.structure_graph.html#PyCTBN.PyCTBN.structure_graph.set_of_cims.SetOfCims">SetOfCims (class in PyCTBN.PyCTBN.structure_graph.set_of_cims)</a> |
||||||
|
</li> |
||||||
|
<li><a href="PyCTBN.PyCTBN.estimators.html#PyCTBN.PyCTBN.estimators.fam_score_calculator.FamScoreCalculator.single_cim_xu_marginal_likelihood_q">single_cim_xu_marginal_likelihood_q() (PyCTBN.PyCTBN.estimators.fam_score_calculator.FamScoreCalculator method)</a> |
||||||
|
</li> |
||||||
|
<li><a href="PyCTBN.PyCTBN.estimators.html#PyCTBN.PyCTBN.estimators.fam_score_calculator.FamScoreCalculator.single_cim_xu_marginal_likelihood_theta">single_cim_xu_marginal_likelihood_theta() (PyCTBN.PyCTBN.estimators.fam_score_calculator.FamScoreCalculator method)</a> |
||||||
|
</li> |
||||||
|
<li><a href="PyCTBN.PyCTBN.estimators.html#PyCTBN.PyCTBN.estimators.fam_score_calculator.FamScoreCalculator.single_internal_cim_xxu_marginal_likelihood_theta">single_internal_cim_xxu_marginal_likelihood_theta() (PyCTBN.PyCTBN.estimators.fam_score_calculator.FamScoreCalculator method)</a> |
||||||
|
</li> |
||||||
|
<li><a href="PyCTBN.PyCTBN.structure_graph.html#PyCTBN.PyCTBN.structure_graph.trajectory.Trajectory.size">size() (PyCTBN.PyCTBN.structure_graph.trajectory.Trajectory method)</a> |
||||||
|
</li> |
||||||
|
</ul></td> |
||||||
|
<td style="width: 33%; vertical-align: top;"><ul> |
||||||
|
<li><a href="PyCTBN.PyCTBN.utility.html#PyCTBN.PyCTBN.utility.abstract_importer.AbstractImporter.sorter">sorter() (PyCTBN.PyCTBN.utility.abstract_importer.AbstractImporter property)</a> |
||||||
|
</li> |
||||||
|
<li><a href="PyCTBN.PyCTBN.estimators.html#PyCTBN.PyCTBN.estimators.structure_estimator.StructureEstimator.spurious_edges">spurious_edges() (PyCTBN.PyCTBN.estimators.structure_estimator.StructureEstimator method)</a> |
||||||
|
</li> |
||||||
|
<li><a href="PyCTBN.PyCTBN.structure_graph.html#PyCTBN.PyCTBN.structure_graph.conditional_intensity_matrix.ConditionalIntensityMatrix.state_residence_times">state_residence_times() (PyCTBN.PyCTBN.structure_graph.conditional_intensity_matrix.ConditionalIntensityMatrix property)</a> |
||||||
|
</li> |
||||||
|
<li><a href="PyCTBN.PyCTBN.structure_graph.html#PyCTBN.PyCTBN.structure_graph.conditional_intensity_matrix.ConditionalIntensityMatrix.state_transition_matrix">state_transition_matrix() (PyCTBN.PyCTBN.structure_graph.conditional_intensity_matrix.ConditionalIntensityMatrix property)</a> |
||||||
|
</li> |
||||||
|
<li><a href="PyCTBN.PyCTBN.structure_graph.html#PyCTBN.PyCTBN.structure_graph.structure.Structure">Structure (class in PyCTBN.PyCTBN.structure_graph.structure)</a> |
||||||
|
</li> |
||||||
|
<li><a href="PyCTBN.PyCTBN.structure_graph.html#PyCTBN.PyCTBN.structure_graph.sample_path.SamplePath.structure">structure() (PyCTBN.PyCTBN.structure_graph.sample_path.SamplePath property)</a> |
||||||
|
|
||||||
|
<ul> |
||||||
|
<li><a href="PyCTBN.PyCTBN.utility.html#PyCTBN.PyCTBN.utility.abstract_importer.AbstractImporter.structure">(PyCTBN.PyCTBN.utility.abstract_importer.AbstractImporter property)</a> |
||||||
|
</li> |
||||||
|
</ul></li> |
||||||
|
<li><a href="PyCTBN.PyCTBN.estimators.html#PyCTBN.PyCTBN.estimators.structure_constraint_based_estimator.StructureConstraintBasedEstimator">StructureConstraintBasedEstimator (class in PyCTBN.PyCTBN.estimators.structure_constraint_based_estimator)</a> |
||||||
|
</li> |
||||||
|
<li><a href="PyCTBN.PyCTBN.estimators.html#PyCTBN.PyCTBN.estimators.structure_estimator.StructureEstimator">StructureEstimator (class in PyCTBN.PyCTBN.estimators.structure_estimator)</a> |
||||||
|
</li> |
||||||
|
<li><a href="PyCTBN.PyCTBN.estimators.html#PyCTBN.PyCTBN.estimators.structure_score_based_estimator.StructureScoreBasedEstimator">StructureScoreBasedEstimator (class in PyCTBN.PyCTBN.estimators.structure_score_based_estimator)</a> |
||||||
|
</li> |
||||||
|
</ul></td> |
||||||
|
</tr></table> |
||||||
|
|
||||||
|
<h2 id="T">T</h2> |
||||||
|
<table style="width: 100%" class="indextable genindextable"><tr> |
||||||
|
<td style="width: 33%; vertical-align: top;"><ul> |
||||||
|
<li><a href="PyCTBN.PyCTBN.optimizers.html#PyCTBN.PyCTBN.optimizers.tabu_search.TabuSearch">TabuSearch (class in PyCTBN.PyCTBN.optimizers.tabu_search)</a> |
||||||
|
</li> |
||||||
|
<li><a href="PyCTBN.PyCTBN.structure_graph.html#PyCTBN.PyCTBN.structure_graph.network_graph.NetworkGraph.time_filtering">time_filtering() (PyCTBN.PyCTBN.structure_graph.network_graph.NetworkGraph property)</a> |
||||||
|
</li> |
||||||
|
<li><a href="PyCTBN.PyCTBN.structure_graph.html#PyCTBN.PyCTBN.structure_graph.network_graph.NetworkGraph.time_scalar_indexing_strucure">time_scalar_indexing_strucure() (PyCTBN.PyCTBN.structure_graph.network_graph.NetworkGraph property)</a> |
||||||
|
</li> |
||||||
|
<li><a href="PyCTBN.PyCTBN.structure_graph.html#PyCTBN.PyCTBN.structure_graph.trajectory.Trajectory.times">times() (PyCTBN.PyCTBN.structure_graph.trajectory.Trajectory property)</a> |
||||||
|
</li> |
||||||
|
<li><a href="PyCTBN.PyCTBN.structure_graph.html#PyCTBN.PyCTBN.structure_graph.sample_path.SamplePath.total_variables_count">total_variables_count() (PyCTBN.PyCTBN.structure_graph.sample_path.SamplePath property)</a> |
||||||
|
</li> |
||||||
|
</ul></td> |
||||||
|
<td style="width: 33%; vertical-align: top;"><ul> |
||||||
|
<li><a href="PyCTBN.PyCTBN.structure_graph.html#PyCTBN.PyCTBN.structure_graph.structure.Structure.total_variables_number">total_variables_number() (PyCTBN.PyCTBN.structure_graph.structure.Structure property)</a> |
||||||
|
</li> |
||||||
|
<li><a href="PyCTBN.PyCTBN.structure_graph.html#PyCTBN.PyCTBN.structure_graph.sample_path.SamplePath.trajectories">trajectories() (PyCTBN.PyCTBN.structure_graph.sample_path.SamplePath property)</a> |
||||||
|
</li> |
||||||
|
<li><a href="PyCTBN.PyCTBN.structure_graph.html#PyCTBN.PyCTBN.structure_graph.trajectory.Trajectory">Trajectory (class in PyCTBN.PyCTBN.structure_graph.trajectory)</a> |
||||||
|
</li> |
||||||
|
<li><a href="PyCTBN.PyCTBN.structure_graph.html#PyCTBN.PyCTBN.structure_graph.trajectory.Trajectory.trajectory">trajectory() (PyCTBN.PyCTBN.structure_graph.trajectory.Trajectory property)</a> |
||||||
|
</li> |
||||||
|
<li><a href="PyCTBN.PyCTBN.structure_graph.html#PyCTBN.PyCTBN.structure_graph.network_graph.NetworkGraph.transition_filtering">transition_filtering() (PyCTBN.PyCTBN.structure_graph.network_graph.NetworkGraph property)</a> |
||||||
|
</li> |
||||||
|
<li><a href="PyCTBN.PyCTBN.structure_graph.html#PyCTBN.PyCTBN.structure_graph.network_graph.NetworkGraph.transition_scalar_indexing_structure">transition_scalar_indexing_structure() (PyCTBN.PyCTBN.structure_graph.network_graph.NetworkGraph property)</a> |
||||||
|
</li> |
||||||
|
</ul></td> |
||||||
|
</tr></table> |
||||||
|
|
||||||
|
<h2 id="V">V</h2> |
||||||
|
<table style="width: 100%" class="indextable genindextable"><tr> |
||||||
|
<td style="width: 33%; vertical-align: top;"><ul> |
||||||
|
<li><a href="PyCTBN.PyCTBN.estimators.html#PyCTBN.PyCTBN.estimators.fam_score_calculator.FamScoreCalculator.variable_cim_xu_marginal_likelihood_q">variable_cim_xu_marginal_likelihood_q() (PyCTBN.PyCTBN.estimators.fam_score_calculator.FamScoreCalculator method)</a> |
||||||
|
</li> |
||||||
|
</ul></td> |
||||||
|
<td style="width: 33%; vertical-align: top;"><ul> |
||||||
|
<li><a href="PyCTBN.PyCTBN.estimators.html#PyCTBN.PyCTBN.estimators.fam_score_calculator.FamScoreCalculator.variable_cim_xu_marginal_likelihood_theta">variable_cim_xu_marginal_likelihood_theta() (PyCTBN.PyCTBN.estimators.fam_score_calculator.FamScoreCalculator method)</a> |
||||||
|
</li> |
||||||
|
<li><a href="PyCTBN.PyCTBN.utility.html#PyCTBN.PyCTBN.utility.abstract_importer.AbstractImporter.variables">variables() (PyCTBN.PyCTBN.utility.abstract_importer.AbstractImporter property)</a> |
||||||
|
</li> |
||||||
|
</ul></td> |
||||||
|
</tr></table> |
||||||
|
|
||||||
|
|
||||||
|
|
||||||
|
</div> |
||||||
|
<footer> |
||||||
|
|
||||||
|
|
||||||
|
<hr/> |
||||||
|
|
||||||
|
<div role="contentinfo"> |
||||||
|
<p> |
||||||
|
© Copyright 2021, Bregoli Alessandro, Martini Filippo, Moretti Luca. |
||||||
|
</p> |
||||||
|
</div> |
||||||
|
|
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PyCTBN |
PyCTBN |
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======= |
====== |
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<div class="section" id="pyctbn-pyctbn-estimators-package"> |
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<h1>PyCTBN.PyCTBN.estimators package<a class="headerlink" href="#pyctbn-pyctbn-estimators-package" title="Permalink to this headline">¶</a></h1> |
||||||
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<div class="section" id="submodules"> |
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<h2>Submodules<a class="headerlink" href="#submodules" title="Permalink to this headline">¶</a></h2> |
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</div> |
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<div class="section" id="module-PyCTBN.PyCTBN.estimators.fam_score_calculator"> |
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|
<span id="pyctbn-pyctbn-estimators-fam-score-calculator-module"></span><h2>PyCTBN.PyCTBN.estimators.fam_score_calculator module<a class="headerlink" href="#module-PyCTBN.PyCTBN.estimators.fam_score_calculator" title="Permalink to this headline">¶</a></h2> |
||||||
|
<dl class="py class"> |
||||||
|
<dt id="PyCTBN.PyCTBN.estimators.fam_score_calculator.FamScoreCalculator"> |
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<em class="property">class </em><code class="sig-prename descclassname">PyCTBN.PyCTBN.estimators.fam_score_calculator.</code><code class="sig-name descname">FamScoreCalculator</code><a class="headerlink" href="#PyCTBN.PyCTBN.estimators.fam_score_calculator.FamScoreCalculator" title="Permalink to this definition">¶</a></dt> |
||||||
|
<dd><p>Bases: <code class="xref py py-class docutils literal notranslate"><span class="pre">object</span></code></p> |
||||||
|
<p>Has the task of calculating the FamScore of a node by using a Bayesian score function</p> |
||||||
|
<dl class="py method"> |
||||||
|
<dt id="PyCTBN.PyCTBN.estimators.fam_score_calculator.FamScoreCalculator.get_fam_score"> |
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|
<code class="sig-name descname">get_fam_score</code><span class="sig-paren">(</span><em class="sig-param"><span class="n">cims</span><span class="p">:</span> <span class="n">numpy.array</span></em>, <em class="sig-param"><span class="n">tau_xu</span><span class="p">:</span> <span class="n">float</span> <span class="o">=</span> <span class="default_value">0.1</span></em>, <em class="sig-param"><span class="n">alpha_xu</span><span class="p">:</span> <span class="n">float</span> <span class="o">=</span> <span class="default_value">1</span></em><span class="sig-paren">)</span><a class="headerlink" href="#PyCTBN.PyCTBN.estimators.fam_score_calculator.FamScoreCalculator.get_fam_score" title="Permalink to this definition">¶</a></dt> |
||||||
|
<dd><p>Calculate the FamScore value of the node</p> |
||||||
|
<dl class="field-list simple"> |
||||||
|
<dt class="field-odd">Parameters</dt> |
||||||
|
<dd class="field-odd"><ul class="simple"> |
||||||
|
<li><p><strong>cims</strong> (<em>np.array</em>) – np.array with all the node’s cims</p></li> |
||||||
|
<li><p><strong>tau_xu</strong> (<em>float</em><em>, </em><em>optional</em>) – hyperparameter over the CTBN’s q parameters, default to 0.1</p></li> |
||||||
|
<li><p><strong>alpha_xu</strong> (<em>float</em><em>, </em><em>optional</em>) – hyperparameter over the CTBN’s q parameters, default to 1</p></li> |
||||||
|
</ul> |
||||||
|
</dd> |
||||||
|
<dt class="field-even">Returns</dt> |
||||||
|
<dd class="field-even"><p>the FamScore value of the node</p> |
||||||
|
</dd> |
||||||
|
<dt class="field-odd">Return type</dt> |
||||||
|
<dd class="field-odd"><p>float</p> |
||||||
|
</dd> |
||||||
|
</dl> |
||||||
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</dd></dl> |
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||||||
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<dl class="py method"> |
||||||
|
<dt id="PyCTBN.PyCTBN.estimators.fam_score_calculator.FamScoreCalculator.marginal_likelihood_q"> |
||||||
|
<code class="sig-name descname">marginal_likelihood_q</code><span class="sig-paren">(</span><em class="sig-param"><span class="n">cims</span><span class="p">:</span> <span class="n">numpy.array</span></em>, <em class="sig-param"><span class="n">tau_xu</span><span class="p">:</span> <span class="n">float</span> <span class="o">=</span> <span class="default_value">0.1</span></em>, <em class="sig-param"><span class="n">alpha_xu</span><span class="p">:</span> <span class="n">float</span> <span class="o">=</span> <span class="default_value">1</span></em><span class="sig-paren">)</span><a class="headerlink" href="#PyCTBN.PyCTBN.estimators.fam_score_calculator.FamScoreCalculator.marginal_likelihood_q" title="Permalink to this definition">¶</a></dt> |
||||||
|
<dd><p>Calculate the value of the marginal likelihood over q of the node identified by the label node_id</p> |
||||||
|
<dl class="field-list simple"> |
||||||
|
<dt class="field-odd">Parameters</dt> |
||||||
|
<dd class="field-odd"><ul class="simple"> |
||||||
|
<li><p><strong>cims</strong> (<em>np.array</em>) – np.array with all the node’s cims</p></li> |
||||||
|
<li><p><strong>tau_xu</strong> (<em>float</em>) – hyperparameter over the CTBN’s q parameters</p></li> |
||||||
|
<li><p><strong>alpha_xu</strong> (<em>float</em>) – hyperparameter over the CTBN’s q parameters</p></li> |
||||||
|
</ul> |
||||||
|
</dd> |
||||||
|
<dt class="field-even">Returns</dt> |
||||||
|
<dd class="field-even"><p>the value of the marginal likelihood over q</p> |
||||||
|
</dd> |
||||||
|
<dt class="field-odd">Return type</dt> |
||||||
|
<dd class="field-odd"><p>float</p> |
||||||
|
</dd> |
||||||
|
</dl> |
||||||
|
</dd></dl> |
||||||
|
|
||||||
|
<dl class="py method"> |
||||||
|
<dt id="PyCTBN.PyCTBN.estimators.fam_score_calculator.FamScoreCalculator.marginal_likelihood_theta"> |
||||||
|
<code class="sig-name descname">marginal_likelihood_theta</code><span class="sig-paren">(</span><em class="sig-param"><span class="n">cims</span><span class="p">:</span> <span class="n"><a class="reference internal" href="PyCTBN.PyCTBN.structure_graph.html#PyCTBN.PyCTBN.structure_graph.conditional_intensity_matrix.ConditionalIntensityMatrix" title="PyCTBN.PyCTBN.structure_graph.conditional_intensity_matrix.ConditionalIntensityMatrix">PyCTBN.PyCTBN.structure_graph.conditional_intensity_matrix.ConditionalIntensityMatrix</a></span></em>, <em class="sig-param"><span class="n">alpha_xu</span><span class="p">:</span> <span class="n">float</span></em>, <em class="sig-param"><span class="n">alpha_xxu</span><span class="p">:</span> <span class="n">float</span></em><span class="sig-paren">)</span><a class="headerlink" href="#PyCTBN.PyCTBN.estimators.fam_score_calculator.FamScoreCalculator.marginal_likelihood_theta" title="Permalink to this definition">¶</a></dt> |
||||||
|
<dd><p>Calculate the FamScore value of the node identified by the label node_id</p> |
||||||
|
<dl class="field-list simple"> |
||||||
|
<dt class="field-odd">Parameters</dt> |
||||||
|
<dd class="field-odd"><ul class="simple"> |
||||||
|
<li><p><strong>cims</strong> (<em>np.array</em>) – np.array with all the node’s cims</p></li> |
||||||
|
<li><p><strong>alpha_xu</strong> (<em>float</em>) – hyperparameter over the CTBN’s q parameters, default to 0.1</p></li> |
||||||
|
<li><p><strong>alpha_xxu</strong> (<em>float</em>) – distribuited hyperparameter over the CTBN’s theta parameters</p></li> |
||||||
|
</ul> |
||||||
|
</dd> |
||||||
|
<dt class="field-even">Returns</dt> |
||||||
|
<dd class="field-even"><p>the value of the marginal likelihood over theta</p> |
||||||
|
</dd> |
||||||
|
<dt class="field-odd">Return type</dt> |
||||||
|
<dd class="field-odd"><p>float</p> |
||||||
|
</dd> |
||||||
|
</dl> |
||||||
|
</dd></dl> |
||||||
|
|
||||||
|
<dl class="py method"> |
||||||
|
<dt id="PyCTBN.PyCTBN.estimators.fam_score_calculator.FamScoreCalculator.single_cim_xu_marginal_likelihood_q"> |
||||||
|
<code class="sig-name descname">single_cim_xu_marginal_likelihood_q</code><span class="sig-paren">(</span><em class="sig-param"><span class="n">M_xu_suff_stats</span><span class="p">:</span> <span class="n">float</span></em>, <em class="sig-param"><span class="n">T_xu_suff_stats</span><span class="p">:</span> <span class="n">float</span></em>, <em class="sig-param"><span class="n">tau_xu</span><span class="p">:</span> <span class="n">float</span> <span class="o">=</span> <span class="default_value">0.1</span></em>, <em class="sig-param"><span class="n">alpha_xu</span><span class="p">:</span> <span class="n">float</span> <span class="o">=</span> <span class="default_value">1</span></em><span class="sig-paren">)</span><a class="headerlink" href="#PyCTBN.PyCTBN.estimators.fam_score_calculator.FamScoreCalculator.single_cim_xu_marginal_likelihood_q" title="Permalink to this definition">¶</a></dt> |
||||||
|
<dd><p>Calculate the marginal likelihood on q of the node when assumes a specif value |
||||||
|
and a specif parents’s assignment</p> |
||||||
|
<dl class="field-list simple"> |
||||||
|
<dt class="field-odd">Parameters</dt> |
||||||
|
<dd class="field-odd"><ul class="simple"> |
||||||
|
<li><p><strong>M_xu_suff_stats</strong> – value of the suffucient statistic M[x|u]</p></li> |
||||||
|
<li><p><strong>T_xu_suff_stats</strong> (<em>float</em>) – value of the suffucient statistic T[x|u]</p></li> |
||||||
|
<li><p><strong>cim</strong> (<em>class:'ConditionalIntensityMatrix'</em>) – A conditional_intensity_matrix object with the sufficient statistics</p></li> |
||||||
|
<li><p><strong>tau_xu</strong> (<em>float</em>) – hyperparameter over the CTBN’s q parameters</p></li> |
||||||
|
<li><p><strong>alpha_xu</strong> (<em>float</em>) – hyperparameter over the CTBN’s q parameters</p></li> |
||||||
|
</ul> |
||||||
|
</dd> |
||||||
|
<dt class="field-even">Returns</dt> |
||||||
|
<dd class="field-even"><p>the value of the marginal likelihood of the node when assumes a specif value</p> |
||||||
|
</dd> |
||||||
|
<dt class="field-odd">Return type</dt> |
||||||
|
<dd class="field-odd"><p>float</p> |
||||||
|
</dd> |
||||||
|
</dl> |
||||||
|
</dd></dl> |
||||||
|
|
||||||
|
<dl class="py method"> |
||||||
|
<dt id="PyCTBN.PyCTBN.estimators.fam_score_calculator.FamScoreCalculator.single_cim_xu_marginal_likelihood_theta"> |
||||||
|
<code class="sig-name descname">single_cim_xu_marginal_likelihood_theta</code><span class="sig-paren">(</span><em class="sig-param"><span class="n">index</span><span class="p">:</span> <span class="n">int</span></em>, <em class="sig-param"><span class="n">cim</span><span class="p">:</span> <span class="n"><a class="reference internal" href="PyCTBN.PyCTBN.structure_graph.html#PyCTBN.PyCTBN.structure_graph.conditional_intensity_matrix.ConditionalIntensityMatrix" title="PyCTBN.PyCTBN.structure_graph.conditional_intensity_matrix.ConditionalIntensityMatrix">PyCTBN.PyCTBN.structure_graph.conditional_intensity_matrix.ConditionalIntensityMatrix</a></span></em>, <em class="sig-param"><span class="n">alpha_xu</span><span class="p">:</span> <span class="n">float</span></em>, <em class="sig-param"><span class="n">alpha_xxu</span><span class="p">:</span> <span class="n">float</span></em><span class="sig-paren">)</span><a class="headerlink" href="#PyCTBN.PyCTBN.estimators.fam_score_calculator.FamScoreCalculator.single_cim_xu_marginal_likelihood_theta" title="Permalink to this definition">¶</a></dt> |
||||||
|
<dd><p>Calculate the marginal likelihood on q of the node when assumes a specif value |
||||||
|
and a specif parents’s assignment</p> |
||||||
|
<dl class="field-list simple"> |
||||||
|
<dt class="field-odd">Parameters</dt> |
||||||
|
<dd class="field-odd"><ul class="simple"> |
||||||
|
<li><p><strong>cim</strong> (<em>class:'ConditionalIntensityMatrix'</em>) – A conditional_intensity_matrix object with the sufficient statistics</p></li> |
||||||
|
<li><p><strong>alpha_xu</strong> (<em>float</em>) – hyperparameter over the CTBN’s q parameters</p></li> |
||||||
|
<li><p><strong>alpha_xxu</strong> (<em>float</em>) – distribuited hyperparameter over the CTBN’s theta parameters</p></li> |
||||||
|
</ul> |
||||||
|
</dd> |
||||||
|
<dt class="field-even">Returns</dt> |
||||||
|
<dd class="field-even"><p>the value of the marginal likelihood over theta when the node assumes a specif value</p> |
||||||
|
</dd> |
||||||
|
<dt class="field-odd">Return type</dt> |
||||||
|
<dd class="field-odd"><p>float</p> |
||||||
|
</dd> |
||||||
|
</dl> |
||||||
|
</dd></dl> |
||||||
|
|
||||||
|
<dl class="py method"> |
||||||
|
<dt id="PyCTBN.PyCTBN.estimators.fam_score_calculator.FamScoreCalculator.single_internal_cim_xxu_marginal_likelihood_theta"> |
||||||
|
<code class="sig-name descname">single_internal_cim_xxu_marginal_likelihood_theta</code><span class="sig-paren">(</span><em class="sig-param"><span class="n">M_xxu_suff_stats</span><span class="p">:</span> <span class="n">float</span></em>, <em class="sig-param"><span class="n">alpha_xxu</span><span class="p">:</span> <span class="n">float</span> <span class="o">=</span> <span class="default_value">1</span></em><span class="sig-paren">)</span><a class="headerlink" href="#PyCTBN.PyCTBN.estimators.fam_score_calculator.FamScoreCalculator.single_internal_cim_xxu_marginal_likelihood_theta" title="Permalink to this definition">¶</a></dt> |
||||||
|
<dd><p>Calculate the second part of the marginal likelihood over theta formula</p> |
||||||
|
<dl class="field-list simple"> |
||||||
|
<dt class="field-odd">Parameters</dt> |
||||||
|
<dd class="field-odd"><ul class="simple"> |
||||||
|
<li><p><strong>M_xxu_suff_stats</strong> (<em>float</em>) – value of the suffucient statistic M[xx’<a href="#id1"><span class="problematic" id="id2">|</span></a>u]</p></li> |
||||||
|
<li><p><strong>alpha_xxu</strong> (<em>float</em>) – distribuited hyperparameter over the CTBN’s theta parameters</p></li> |
||||||
|
</ul> |
||||||
|
</dd> |
||||||
|
<dt class="field-even">Returns</dt> |
||||||
|
<dd class="field-even"><p>the value of the marginal likelihood over theta when the node assumes a specif value</p> |
||||||
|
</dd> |
||||||
|
<dt class="field-odd">Return type</dt> |
||||||
|
<dd class="field-odd"><p>float</p> |
||||||
|
</dd> |
||||||
|
</dl> |
||||||
|
</dd></dl> |
||||||
|
|
||||||
|
<dl class="py method"> |
||||||
|
<dt id="PyCTBN.PyCTBN.estimators.fam_score_calculator.FamScoreCalculator.variable_cim_xu_marginal_likelihood_q"> |
||||||
|
<code class="sig-name descname">variable_cim_xu_marginal_likelihood_q</code><span class="sig-paren">(</span><em class="sig-param"><span class="n">cim</span><span class="p">:</span> <span class="n"><a class="reference internal" href="PyCTBN.PyCTBN.structure_graph.html#PyCTBN.PyCTBN.structure_graph.conditional_intensity_matrix.ConditionalIntensityMatrix" title="PyCTBN.PyCTBN.structure_graph.conditional_intensity_matrix.ConditionalIntensityMatrix">PyCTBN.PyCTBN.structure_graph.conditional_intensity_matrix.ConditionalIntensityMatrix</a></span></em>, <em class="sig-param"><span class="n">tau_xu</span><span class="p">:</span> <span class="n">float</span> <span class="o">=</span> <span class="default_value">0.1</span></em>, <em class="sig-param"><span class="n">alpha_xu</span><span class="p">:</span> <span class="n">float</span> <span class="o">=</span> <span class="default_value">1</span></em><span class="sig-paren">)</span><a class="headerlink" href="#PyCTBN.PyCTBN.estimators.fam_score_calculator.FamScoreCalculator.variable_cim_xu_marginal_likelihood_q" title="Permalink to this definition">¶</a></dt> |
||||||
|
<dd><p>Calculate the value of the marginal likelihood over q given a cim</p> |
||||||
|
<dl class="field-list simple"> |
||||||
|
<dt class="field-odd">Parameters</dt> |
||||||
|
<dd class="field-odd"><ul class="simple"> |
||||||
|
<li><p><strong>cim</strong> (<em>class:'ConditionalIntensityMatrix'</em>) – A conditional_intensity_matrix object with the sufficient statistics</p></li> |
||||||
|
<li><p><strong>tau_xu</strong> (<em>float</em>) – hyperparameter over the CTBN’s q parameters</p></li> |
||||||
|
<li><p><strong>alpha_xu</strong> (<em>float</em>) – hyperparameter over the CTBN’s q parameters</p></li> |
||||||
|
</ul> |
||||||
|
</dd> |
||||||
|
<dt class="field-even">Returns</dt> |
||||||
|
<dd class="field-even"><p>the value of the marginal likelihood over q</p> |
||||||
|
</dd> |
||||||
|
<dt class="field-odd">Return type</dt> |
||||||
|
<dd class="field-odd"><p>float</p> |
||||||
|
</dd> |
||||||
|
</dl> |
||||||
|
</dd></dl> |
||||||
|
|
||||||
|
<dl class="py method"> |
||||||
|
<dt id="PyCTBN.PyCTBN.estimators.fam_score_calculator.FamScoreCalculator.variable_cim_xu_marginal_likelihood_theta"> |
||||||
|
<code class="sig-name descname">variable_cim_xu_marginal_likelihood_theta</code><span class="sig-paren">(</span><em class="sig-param"><span class="n">cim</span><span class="p">:</span> <span class="n"><a class="reference internal" href="PyCTBN.PyCTBN.structure_graph.html#PyCTBN.PyCTBN.structure_graph.conditional_intensity_matrix.ConditionalIntensityMatrix" title="PyCTBN.PyCTBN.structure_graph.conditional_intensity_matrix.ConditionalIntensityMatrix">PyCTBN.PyCTBN.structure_graph.conditional_intensity_matrix.ConditionalIntensityMatrix</a></span></em>, <em class="sig-param"><span class="n">alpha_xu</span><span class="p">:</span> <span class="n">float</span></em>, <em class="sig-param"><span class="n">alpha_xxu</span><span class="p">:</span> <span class="n">float</span></em><span class="sig-paren">)</span><a class="headerlink" href="#PyCTBN.PyCTBN.estimators.fam_score_calculator.FamScoreCalculator.variable_cim_xu_marginal_likelihood_theta" title="Permalink to this definition">¶</a></dt> |
||||||
|
<dd><p>Calculate the value of the marginal likelihood over theta given a cim</p> |
||||||
|
<dl class="field-list simple"> |
||||||
|
<dt class="field-odd">Parameters</dt> |
||||||
|
<dd class="field-odd"><ul class="simple"> |
||||||
|
<li><p><strong>cim</strong> (<em>class:'ConditionalIntensityMatrix'</em>) – A conditional_intensity_matrix object with the sufficient statistics</p></li> |
||||||
|
<li><p><strong>alpha_xu</strong> (<em>float</em>) – hyperparameter over the CTBN’s q parameters, default to 0.1</p></li> |
||||||
|
<li><p><strong>alpha_xxu</strong> (<em>float</em>) – distribuited hyperparameter over the CTBN’s theta parameters</p></li> |
||||||
|
</ul> |
||||||
|
</dd> |
||||||
|
<dt class="field-even">Returns</dt> |
||||||
|
<dd class="field-even"><p>the value of the marginal likelihood over theta</p> |
||||||
|
</dd> |
||||||
|
<dt class="field-odd">Return type</dt> |
||||||
|
<dd class="field-odd"><p>float</p> |
||||||
|
</dd> |
||||||
|
</dl> |
||||||
|
</dd></dl> |
||||||
|
|
||||||
|
</dd></dl> |
||||||
|
|
||||||
|
</div> |
||||||
|
<div class="section" id="module-PyCTBN.PyCTBN.estimators.parameters_estimator"> |
||||||
|
<span id="pyctbn-pyctbn-estimators-parameters-estimator-module"></span><h2>PyCTBN.PyCTBN.estimators.parameters_estimator module<a class="headerlink" href="#module-PyCTBN.PyCTBN.estimators.parameters_estimator" title="Permalink to this headline">¶</a></h2> |
||||||
|
<dl class="py class"> |
||||||
|
<dt id="PyCTBN.PyCTBN.estimators.parameters_estimator.ParametersEstimator"> |
||||||
|
<em class="property">class </em><code class="sig-prename descclassname">PyCTBN.PyCTBN.estimators.parameters_estimator.</code><code class="sig-name descname">ParametersEstimator</code><span class="sig-paren">(</span><em class="sig-param"><span class="n">trajectories</span><span class="p">:</span> <span class="n"><a class="reference internal" href="PyCTBN.PyCTBN.structure_graph.html#PyCTBN.PyCTBN.structure_graph.trajectory.Trajectory" title="PyCTBN.PyCTBN.structure_graph.trajectory.Trajectory">PyCTBN.PyCTBN.structure_graph.trajectory.Trajectory</a></span></em>, <em class="sig-param"><span class="n">net_graph</span><span class="p">:</span> <span class="n"><a class="reference internal" href="PyCTBN.PyCTBN.structure_graph.html#PyCTBN.PyCTBN.structure_graph.network_graph.NetworkGraph" title="PyCTBN.PyCTBN.structure_graph.network_graph.NetworkGraph">PyCTBN.PyCTBN.structure_graph.network_graph.NetworkGraph</a></span></em><span class="sig-paren">)</span><a class="headerlink" href="#PyCTBN.PyCTBN.estimators.parameters_estimator.ParametersEstimator" title="Permalink to this definition">¶</a></dt> |
||||||
|
<dd><p>Bases: <code class="xref py py-class docutils literal notranslate"><span class="pre">object</span></code></p> |
||||||
|
<p>Has the task of computing the cims of particular node given the trajectories and the net structure |
||||||
|
in the graph <code class="docutils literal notranslate"><span class="pre">_net_graph</span></code>.</p> |
||||||
|
<dl class="field-list simple"> |
||||||
|
<dt class="field-odd">Parameters</dt> |
||||||
|
<dd class="field-odd"><ul class="simple"> |
||||||
|
<li><p><strong>trajectories</strong> (<a class="reference internal" href="PyCTBN.PyCTBN.structure_graph.html#PyCTBN.PyCTBN.structure_graph.trajectory.Trajectory" title="PyCTBN.PyCTBN.structure_graph.trajectory.Trajectory"><em>Trajectory</em></a>) – the trajectories</p></li> |
||||||
|
<li><p><strong>net_graph</strong> (<a class="reference internal" href="PyCTBN.PyCTBN.structure_graph.html#PyCTBN.PyCTBN.structure_graph.network_graph.NetworkGraph" title="PyCTBN.PyCTBN.structure_graph.network_graph.NetworkGraph"><em>NetworkGraph</em></a>) – the net structure</p></li> |
||||||
|
</ul> |
||||||
|
</dd> |
||||||
|
<dt class="field-even">_single_set_of_cims</dt> |
||||||
|
<dd class="field-even"><p>the set of cims object that will hold the cims of the node</p> |
||||||
|
</dd> |
||||||
|
</dl> |
||||||
|
<dl class="py method"> |
||||||
|
<dt id="PyCTBN.PyCTBN.estimators.parameters_estimator.ParametersEstimator.compute_parameters_for_node"> |
||||||
|
<code class="sig-name descname">compute_parameters_for_node</code><span class="sig-paren">(</span><em class="sig-param"><span class="n">node_id</span><span class="p">:</span> <span class="n">str</span></em><span class="sig-paren">)</span> → <a class="reference internal" href="PyCTBN.PyCTBN.structure_graph.html#PyCTBN.PyCTBN.structure_graph.set_of_cims.SetOfCims" title="PyCTBN.PyCTBN.structure_graph.set_of_cims.SetOfCims">PyCTBN.PyCTBN.structure_graph.set_of_cims.SetOfCims</a><a class="headerlink" href="#PyCTBN.PyCTBN.estimators.parameters_estimator.ParametersEstimator.compute_parameters_for_node" title="Permalink to this definition">¶</a></dt> |
||||||
|
<dd><p>Compute the CIMS of the node identified by the label <code class="docutils literal notranslate"><span class="pre">node_id</span></code>.</p> |
||||||
|
<dl class="field-list simple"> |
||||||
|
<dt class="field-odd">Parameters</dt> |
||||||
|
<dd class="field-odd"><p><strong>node_id</strong> (<em>string</em>) – the node label</p> |
||||||
|
</dd> |
||||||
|
<dt class="field-even">Returns</dt> |
||||||
|
<dd class="field-even"><p>A SetOfCims object filled with the computed CIMS</p> |
||||||
|
</dd> |
||||||
|
<dt class="field-odd">Return type</dt> |
||||||
|
<dd class="field-odd"><p><a class="reference internal" href="PyCTBN.PyCTBN.structure_graph.html#PyCTBN.PyCTBN.structure_graph.set_of_cims.SetOfCims" title="PyCTBN.PyCTBN.structure_graph.set_of_cims.SetOfCims">SetOfCims</a></p> |
||||||
|
</dd> |
||||||
|
</dl> |
||||||
|
</dd></dl> |
||||||
|
|
||||||
|
<dl class="py method"> |
||||||
|
<dt id="PyCTBN.PyCTBN.estimators.parameters_estimator.ParametersEstimator.compute_state_res_time_for_node"> |
||||||
|
<em class="property">static </em><code class="sig-name descname">compute_state_res_time_for_node</code><span class="sig-paren">(</span><em class="sig-param"><span class="n">times</span><span class="p">:</span> <span class="n">numpy.ndarray</span></em>, <em class="sig-param"><span class="n">trajectory</span><span class="p">:</span> <span class="n">numpy.ndarray</span></em>, <em class="sig-param"><span class="n">cols_filter</span><span class="p">:</span> <span class="n">numpy.ndarray</span></em>, <em class="sig-param"><span class="n">scalar_indexes_struct</span><span class="p">:</span> <span class="n">numpy.ndarray</span></em>, <em class="sig-param"><span class="n">T</span><span class="p">:</span> <span class="n">numpy.ndarray</span></em><span class="sig-paren">)</span> → None<a class="headerlink" href="#PyCTBN.PyCTBN.estimators.parameters_estimator.ParametersEstimator.compute_state_res_time_for_node" title="Permalink to this definition">¶</a></dt> |
||||||
|
<dd><p>Compute the state residence times for a node and fill the matrix <code class="docutils literal notranslate"><span class="pre">T</span></code> with the results</p> |
||||||
|
<dl class="field-list simple"> |
||||||
|
<dt class="field-odd">Parameters</dt> |
||||||
|
<dd class="field-odd"><ul class="simple"> |
||||||
|
<li><p><strong>node_indx</strong> (<em>int</em>) – the index of the node</p></li> |
||||||
|
<li><p><strong>times</strong> (<em>numpy.array</em>) – the times deltas vector</p></li> |
||||||
|
<li><p><strong>trajectory</strong> (<em>numpy.ndArray</em>) – the trajectory</p></li> |
||||||
|
<li><p><strong>cols_filter</strong> (<em>numpy.array</em>) – the columns filtering structure</p></li> |
||||||
|
<li><p><strong>scalar_indexes_struct</strong> (<em>numpy.array</em>) – the indexing structure</p></li> |
||||||
|
<li><p><strong>T</strong> (<em>numpy.ndArray</em>) – the state residence times vectors</p></li> |
||||||
|
</ul> |
||||||
|
</dd> |
||||||
|
</dl> |
||||||
|
</dd></dl> |
||||||
|
|
||||||
|
<dl class="py method"> |
||||||
|
<dt id="PyCTBN.PyCTBN.estimators.parameters_estimator.ParametersEstimator.compute_state_transitions_for_a_node"> |
||||||
|
<em class="property">static </em><code class="sig-name descname">compute_state_transitions_for_a_node</code><span class="sig-paren">(</span><em class="sig-param"><span class="n">node_indx</span><span class="p">:</span> <span class="n">int</span></em>, <em class="sig-param"><span class="n">trajectory</span><span class="p">:</span> <span class="n">numpy.ndarray</span></em>, <em class="sig-param"><span class="n">cols_filter</span><span class="p">:</span> <span class="n">numpy.ndarray</span></em>, <em class="sig-param"><span class="n">scalar_indexing</span><span class="p">:</span> <span class="n">numpy.ndarray</span></em>, <em class="sig-param"><span class="n">M</span><span class="p">:</span> <span class="n">numpy.ndarray</span></em><span class="sig-paren">)</span> → None<a class="headerlink" href="#PyCTBN.PyCTBN.estimators.parameters_estimator.ParametersEstimator.compute_state_transitions_for_a_node" title="Permalink to this definition">¶</a></dt> |
||||||
|
<dd><p>Compute the state residence times for a node and fill the matrices <code class="docutils literal notranslate"><span class="pre">M</span></code> with the results.</p> |
||||||
|
<dl class="field-list simple"> |
||||||
|
<dt class="field-odd">Parameters</dt> |
||||||
|
<dd class="field-odd"><ul class="simple"> |
||||||
|
<li><p><strong>node_indx</strong> (<em>int</em>) – the index of the node</p></li> |
||||||
|
<li><p><strong>trajectory</strong> (<em>numpy.ndArray</em>) – the trajectory</p></li> |
||||||
|
<li><p><strong>cols_filter</strong> (<em>numpy.array</em>) – the columns filtering structure</p></li> |
||||||
|
<li><p><strong>scalar_indexing</strong> (<em>numpy.array</em>) – the indexing structure</p></li> |
||||||
|
<li><p><strong>M</strong> (<em>numpy.ndArray</em>) – the state transitions matrices</p></li> |
||||||
|
</ul> |
||||||
|
</dd> |
||||||
|
</dl> |
||||||
|
</dd></dl> |
||||||
|
|
||||||
|
<dl class="py method"> |
||||||
|
<dt id="PyCTBN.PyCTBN.estimators.parameters_estimator.ParametersEstimator.fast_init"> |
||||||
|
<code class="sig-name descname">fast_init</code><span class="sig-paren">(</span><em class="sig-param"><span class="n">node_id</span><span class="p">:</span> <span class="n">str</span></em><span class="sig-paren">)</span> → None<a class="headerlink" href="#PyCTBN.PyCTBN.estimators.parameters_estimator.ParametersEstimator.fast_init" title="Permalink to this definition">¶</a></dt> |
||||||
|
<dd><p>Initializes all the necessary structures for the parameters estimation for the node <code class="docutils literal notranslate"><span class="pre">node_id</span></code>.</p> |
||||||
|
<dl class="field-list simple"> |
||||||
|
<dt class="field-odd">Parameters</dt> |
||||||
|
<dd class="field-odd"><p><strong>node_id</strong> (<em>string</em>) – the node label</p> |
||||||
|
</dd> |
||||||
|
</dl> |
||||||
|
</dd></dl> |
||||||
|
|
||||||
|
</dd></dl> |
||||||
|
|
||||||
|
</div> |
||||||
|
<div class="section" id="module-PyCTBN.PyCTBN.estimators.structure_constraint_based_estimator"> |
||||||
|
<span id="pyctbn-pyctbn-estimators-structure-constraint-based-estimator-module"></span><h2>PyCTBN.PyCTBN.estimators.structure_constraint_based_estimator module<a class="headerlink" href="#module-PyCTBN.PyCTBN.estimators.structure_constraint_based_estimator" title="Permalink to this headline">¶</a></h2> |
||||||
|
<dl class="py class"> |
||||||
|
<dt id="PyCTBN.PyCTBN.estimators.structure_constraint_based_estimator.StructureConstraintBasedEstimator"> |
||||||
|
<em class="property">class </em><code class="sig-prename descclassname">PyCTBN.PyCTBN.estimators.structure_constraint_based_estimator.</code><code class="sig-name descname">StructureConstraintBasedEstimator</code><span class="sig-paren">(</span><em class="sig-param"><span class="n">sample_path</span><span class="p">:</span> <span class="n"><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">PyCTBN.PyCTBN.structure_graph.sample_path.SamplePath</a></span></em>, <em class="sig-param"><span class="n">exp_test_alfa</span><span class="p">:</span> <span class="n">float</span></em>, <em class="sig-param"><span class="n">chi_test_alfa</span><span class="p">:</span> <span class="n">float</span></em>, <em class="sig-param"><span class="n">known_edges</span><span class="p">:</span> <span class="n">List</span> <span class="o">=</span> <span class="default_value">[]</span></em>, <em class="sig-param"><span class="n">thumb_threshold</span><span class="p">:</span> <span class="n">int</span> <span class="o">=</span> <span class="default_value">25</span></em><span class="sig-paren">)</span><a class="headerlink" href="#PyCTBN.PyCTBN.estimators.structure_constraint_based_estimator.StructureConstraintBasedEstimator" title="Permalink to this definition">¶</a></dt> |
||||||
|
<dd><p>Bases: <a class="reference internal" href="#PyCTBN.PyCTBN.estimators.structure_estimator.StructureEstimator" title="PyCTBN.PyCTBN.estimators.structure_estimator.StructureEstimator"><code class="xref py py-class docutils literal notranslate"><span class="pre">PyCTBN.PyCTBN.estimators.structure_estimator.StructureEstimator</span></code></a></p> |
||||||
|
<p>Has the task of estimating the network structure given the trajectories in samplepath by using a constraint-based approach.</p> |
||||||
|
<dl class="field-list simple"> |
||||||
|
<dt class="field-odd">Parameters</dt> |
||||||
|
<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>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> |
||||||
|
</ul> |
||||||
|
</dd> |
||||||
|
<dt class="field-even">_nodes</dt> |
||||||
|
<dd class="field-even"><p>the nodes labels</p> |
||||||
|
</dd> |
||||||
|
<dt class="field-odd">_nodes_vals</dt> |
||||||
|
<dd class="field-odd"><p>the nodes cardinalities</p> |
||||||
|
</dd> |
||||||
|
<dt class="field-even">_nodes_indxs</dt> |
||||||
|
<dd class="field-even"><p>the nodes indexes</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> |
||||||
|
</dd> |
||||||
|
<dt class="field-even">_cache</dt> |
||||||
|
<dd class="field-even"><p>the Cache object</p> |
||||||
|
</dd> |
||||||
|
</dl> |
||||||
|
<dl class="py method"> |
||||||
|
<dt id="PyCTBN.PyCTBN.estimators.structure_constraint_based_estimator.StructureConstraintBasedEstimator.complete_test"> |
||||||
|
<code class="sig-name descname">complete_test</code><span class="sig-paren">(</span><em class="sig-param"><span class="n">test_parent</span><span class="p">:</span> <span class="n">str</span></em>, <em class="sig-param"><span class="n">test_child</span><span class="p">:</span> <span class="n">str</span></em>, <em class="sig-param"><span class="n">parent_set</span><span class="p">:</span> <span class="n">List</span></em>, <em class="sig-param"><span class="n">child_states_numb</span><span class="p">:</span> <span class="n">int</span></em>, <em class="sig-param"><span class="n">tot_vars_count</span><span class="p">:</span> <span class="n">int</span></em>, <em class="sig-param"><span class="n">parent_indx</span></em>, <em class="sig-param"><span class="n">child_indx</span></em><span class="sig-paren">)</span> → bool<a class="headerlink" href="#PyCTBN.PyCTBN.estimators.structure_constraint_based_estimator.StructureConstraintBasedEstimator.complete_test" title="Permalink to this definition">¶</a></dt> |
||||||
|
<dd><p>Performs a complete independence test on the directed graphs G1 = {test_child U parent_set} |
||||||
|
G2 = {G1 U test_parent} (added as an additional parent of the test_child). |
||||||
|
Generates all the necessary structures and datas to perform the tests.</p> |
||||||
|
<dl class="field-list simple"> |
||||||
|
<dt class="field-odd">Parameters</dt> |
||||||
|
<dd class="field-odd"><ul class="simple"> |
||||||
|
<li><p><strong>test_parent</strong> (<em>string</em>) – the node label of the test parent</p></li> |
||||||
|
<li><p><strong>test_child</strong> (<em>string</em>) – the node label of the child</p></li> |
||||||
|
<li><p><strong>parent_set</strong> (<em>List</em>) – the common parent set</p></li> |
||||||
|
<li><p><strong>child_states_numb</strong> (<em>int</em>) – the cardinality of the <code class="docutils literal notranslate"><span class="pre">test_child</span></code></p></li> |
||||||
|
<li><p><strong>tot_vars_count</strong> (<em>int</em>) – the total number of variables in the net</p></li> |
||||||
|
</ul> |
||||||
|
</dd> |
||||||
|
<dt class="field-even">Returns</dt> |
||||||
|
<dd class="field-even"><p>True iff test_child and test_parent are independent given the sep_set parent_set. False otherwise</p> |
||||||
|
</dd> |
||||||
|
<dt class="field-odd">Return type</dt> |
||||||
|
<dd class="field-odd"><p>bool</p> |
||||||
|
</dd> |
||||||
|
</dl> |
||||||
|
</dd></dl> |
||||||
|
|
||||||
|
<dl class="py method"> |
||||||
|
<dt id="PyCTBN.PyCTBN.estimators.structure_constraint_based_estimator.StructureConstraintBasedEstimator.compute_thumb_value"> |
||||||
|
<code class="sig-name descname">compute_thumb_value</code><span class="sig-paren">(</span><em class="sig-param"><span class="n">parent_val</span></em>, <em class="sig-param"><span class="n">child_val</span></em>, <em class="sig-param"><span class="n">parent_set_vals</span></em><span class="sig-paren">)</span><a class="headerlink" href="#PyCTBN.PyCTBN.estimators.structure_constraint_based_estimator.StructureConstraintBasedEstimator.compute_thumb_value" title="Permalink to this definition">¶</a></dt> |
||||||
|
<dd><p>Compute the value to test against the thumb_threshold.</p> |
||||||
|
<dl class="field-list simple"> |
||||||
|
<dt class="field-odd">Parameters</dt> |
||||||
|
<dd class="field-odd"><ul class="simple"> |
||||||
|
<li><p><strong>parent_val</strong> (<em>int</em>) – test parent’s variable cardinality</p></li> |
||||||
|
<li><p><strong>child_val</strong> (<em>int</em>) – test child’s variable cardinality</p></li> |
||||||
|
<li><p><strong>parent_set_vals</strong> (<em>List</em>) – the cardinalities of the nodes in the current sep-set</p></li> |
||||||
|
</ul> |
||||||
|
</dd> |
||||||
|
<dt class="field-even">Returns</dt> |
||||||
|
<dd class="field-even"><p>the thumb value for the current independence test</p> |
||||||
|
</dd> |
||||||
|
<dt class="field-odd">Return type</dt> |
||||||
|
<dd class="field-odd"><p>int</p> |
||||||
|
</dd> |
||||||
|
</dl> |
||||||
|
</dd></dl> |
||||||
|
|
||||||
|
<dl class="py method"> |
||||||
|
<dt id="PyCTBN.PyCTBN.estimators.structure_constraint_based_estimator.StructureConstraintBasedEstimator.ctpc_algorithm"> |
||||||
|
<code class="sig-name descname">ctpc_algorithm</code><span class="sig-paren">(</span><em class="sig-param"><span class="n">disable_multiprocessing</span><span class="p">:</span> <span class="n">bool</span> <span class="o">=</span> <span class="default_value">False</span></em><span class="sig-paren">)</span><a class="headerlink" href="#PyCTBN.PyCTBN.estimators.structure_constraint_based_estimator.StructureConstraintBasedEstimator.ctpc_algorithm" title="Permalink to this definition">¶</a></dt> |
||||||
|
<dd><p>Compute the CTPC algorithm over the entire net.</p> |
||||||
|
</dd></dl> |
||||||
|
|
||||||
|
<dl class="py method"> |
||||||
|
<dt id="PyCTBN.PyCTBN.estimators.structure_constraint_based_estimator.StructureConstraintBasedEstimator.estimate_structure"> |
||||||
|
<code class="sig-name descname">estimate_structure</code><span class="sig-paren">(</span><em class="sig-param"><span class="n">disable_multiprocessing</span><span class="p">:</span> <span class="n">bool</span> <span class="o">=</span> <span class="default_value">False</span></em><span class="sig-paren">)</span><a class="headerlink" href="#PyCTBN.PyCTBN.estimators.structure_constraint_based_estimator.StructureConstraintBasedEstimator.estimate_structure" title="Permalink to this definition">¶</a></dt> |
||||||
|
<dd><p>Abstract method to estimate the structure</p> |
||||||
|
<dl class="field-list simple"> |
||||||
|
<dt class="field-odd">Returns</dt> |
||||||
|
<dd class="field-odd"><p>List of estimated edges</p> |
||||||
|
</dd> |
||||||
|
<dt class="field-even">Return type</dt> |
||||||
|
<dd class="field-even"><p>Typing.List</p> |
||||||
|
</dd> |
||||||
|
</dl> |
||||||
|
</dd></dl> |
||||||
|
|
||||||
|
<dl class="py method"> |
||||||
|
<dt id="PyCTBN.PyCTBN.estimators.structure_constraint_based_estimator.StructureConstraintBasedEstimator.independence_test"> |
||||||
|
<code class="sig-name descname">independence_test</code><span class="sig-paren">(</span><em class="sig-param"><span class="n">child_states_numb</span><span class="p">:</span> <span class="n">int</span></em>, <em class="sig-param"><span class="n">cim1</span><span class="p">:</span> <span class="n"><a class="reference internal" href="PyCTBN.PyCTBN.structure_graph.html#PyCTBN.PyCTBN.structure_graph.conditional_intensity_matrix.ConditionalIntensityMatrix" title="PyCTBN.PyCTBN.structure_graph.conditional_intensity_matrix.ConditionalIntensityMatrix">PyCTBN.PyCTBN.structure_graph.conditional_intensity_matrix.ConditionalIntensityMatrix</a></span></em>, <em class="sig-param"><span class="n">cim2</span><span class="p">:</span> <span class="n"><a class="reference internal" href="PyCTBN.PyCTBN.structure_graph.html#PyCTBN.PyCTBN.structure_graph.conditional_intensity_matrix.ConditionalIntensityMatrix" title="PyCTBN.PyCTBN.structure_graph.conditional_intensity_matrix.ConditionalIntensityMatrix">PyCTBN.PyCTBN.structure_graph.conditional_intensity_matrix.ConditionalIntensityMatrix</a></span></em>, <em class="sig-param"><span class="n">thumb_value</span><span class="p">:</span> <span class="n">float</span></em>, <em class="sig-param"><span class="n">parent_indx</span></em>, <em class="sig-param"><span class="n">child_indx</span></em><span class="sig-paren">)</span> → bool<a class="headerlink" href="#PyCTBN.PyCTBN.estimators.structure_constraint_based_estimator.StructureConstraintBasedEstimator.independence_test" title="Permalink to this definition">¶</a></dt> |
||||||
|
<dd><p>Compute the actual independence test using two cims. |
||||||
|
It is performed first the exponential test and if the null hypothesis is not rejected, |
||||||
|
it is performed also the chi_test.</p> |
||||||
|
<dl class="field-list simple"> |
||||||
|
<dt class="field-odd">Parameters</dt> |
||||||
|
<dd class="field-odd"><ul class="simple"> |
||||||
|
<li><p><strong>child_states_numb</strong> (<em>int</em>) – the cardinality of the test child</p></li> |
||||||
|
<li><p><strong>cim1</strong> (<a class="reference internal" href="PyCTBN.PyCTBN.structure_graph.html#PyCTBN.PyCTBN.structure_graph.conditional_intensity_matrix.ConditionalIntensityMatrix" title="PyCTBN.PyCTBN.structure_graph.conditional_intensity_matrix.ConditionalIntensityMatrix"><em>ConditionalIntensityMatrix</em></a>) – a cim belonging to the graph without test parent</p></li> |
||||||
|
<li><p><strong>cim2</strong> (<a class="reference internal" href="PyCTBN.PyCTBN.structure_graph.html#PyCTBN.PyCTBN.structure_graph.conditional_intensity_matrix.ConditionalIntensityMatrix" title="PyCTBN.PyCTBN.structure_graph.conditional_intensity_matrix.ConditionalIntensityMatrix"><em>ConditionalIntensityMatrix</em></a>) – a cim belonging to the graph with test parent</p></li> |
||||||
|
</ul> |
||||||
|
</dd> |
||||||
|
<dt class="field-even">Returns</dt> |
||||||
|
<dd class="field-even"><p>True iff both tests do NOT reject the null hypothesis of independence. False otherwise.</p> |
||||||
|
</dd> |
||||||
|
<dt class="field-odd">Return type</dt> |
||||||
|
<dd class="field-odd"><p>bool</p> |
||||||
|
</dd> |
||||||
|
</dl> |
||||||
|
</dd></dl> |
||||||
|
|
||||||
|
<dl class="py method"> |
||||||
|
<dt id="PyCTBN.PyCTBN.estimators.structure_constraint_based_estimator.StructureConstraintBasedEstimator.one_iteration_of_CTPC_algorithm"> |
||||||
|
<code class="sig-name descname">one_iteration_of_CTPC_algorithm</code><span class="sig-paren">(</span><em class="sig-param"><span class="n">var_id</span><span class="p">:</span> <span class="n">str</span></em>, <em class="sig-param"><span class="n">tot_vars_count</span><span class="p">:</span> <span class="n">int</span></em><span class="sig-paren">)</span> → List<a class="headerlink" href="#PyCTBN.PyCTBN.estimators.structure_constraint_based_estimator.StructureConstraintBasedEstimator.one_iteration_of_CTPC_algorithm" title="Permalink to this definition">¶</a></dt> |
||||||
|
<dd><p>Performs an iteration of the CTPC algorithm using the node <code class="docutils literal notranslate"><span class="pre">var_id</span></code> as <code class="docutils literal notranslate"><span class="pre">test_child</span></code>.</p> |
||||||
|
<dl class="field-list simple"> |
||||||
|
<dt class="field-odd">Parameters</dt> |
||||||
|
<dd class="field-odd"><p><strong>var_id</strong> (<em>string</em>) – the node label of the test child</p> |
||||||
|
</dd> |
||||||
|
</dl> |
||||||
|
</dd></dl> |
||||||
|
|
||||||
|
</dd></dl> |
||||||
|
|
||||||
|
</div> |
||||||
|
<div class="section" id="module-PyCTBN.PyCTBN.estimators.structure_estimator"> |
||||||
|
<span id="pyctbn-pyctbn-estimators-structure-estimator-module"></span><h2>PyCTBN.PyCTBN.estimators.structure_estimator module<a class="headerlink" href="#module-PyCTBN.PyCTBN.estimators.structure_estimator" title="Permalink to this headline">¶</a></h2> |
||||||
|
<dl class="py class"> |
||||||
|
<dt id="PyCTBN.PyCTBN.estimators.structure_estimator.StructureEstimator"> |
||||||
|
<em class="property">class </em><code class="sig-prename descclassname">PyCTBN.PyCTBN.estimators.structure_estimator.</code><code class="sig-name descname">StructureEstimator</code><span class="sig-paren">(</span><em class="sig-param"><span class="n">sample_path</span><span class="p">:</span> <span class="n"><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">PyCTBN.PyCTBN.structure_graph.sample_path.SamplePath</a></span></em>, <em class="sig-param"><span class="n">known_edges</span><span class="p">:</span> <span class="n">List</span> <span class="o">=</span> <span class="default_value">None</span></em><span class="sig-paren">)</span><a class="headerlink" href="#PyCTBN.PyCTBN.estimators.structure_estimator.StructureEstimator" title="Permalink to this definition">¶</a></dt> |
||||||
|
<dd><p>Bases: <code class="xref py py-class docutils literal notranslate"><span class="pre">object</span></code></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> |
||||||
|
<dt class="field-even">_nodes</dt> |
||||||
|
<dd class="field-even"><p>the nodes labels</p> |
||||||
|
</dd> |
||||||
|
<dt class="field-odd">_nodes_vals</dt> |
||||||
|
<dd class="field-odd"><p>the nodes cardinalities</p> |
||||||
|
</dd> |
||||||
|
<dt class="field-even">_nodes_indxs</dt> |
||||||
|
<dd class="field-even"><p>the nodes indexes</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> |
||||||
|
</dd> |
||||||
|
</dl> |
||||||
|
<dl class="py method"> |
||||||
|
<dt id="PyCTBN.PyCTBN.estimators.structure_estimator.StructureEstimator.adjacency_matrix"> |
||||||
|
<code class="sig-name descname">adjacency_matrix</code><span class="sig-paren">(</span><span class="sig-paren">)</span> → numpy.ndarray<a class="headerlink" href="#PyCTBN.PyCTBN.estimators.structure_estimator.StructureEstimator.adjacency_matrix" title="Permalink to this definition">¶</a></dt> |
||||||
|
<dd><p>Converts the estimated structure <code class="docutils literal notranslate"><span class="pre">_complete_graph</span></code> to a boolean adjacency matrix representation.</p> |
||||||
|
<dl class="field-list simple"> |
||||||
|
<dt class="field-odd">Returns</dt> |
||||||
|
<dd class="field-odd"><p>The adjacency matrix of the graph <code class="docutils literal notranslate"><span class="pre">_complete_graph</span></code></p> |
||||||
|
</dd> |
||||||
|
<dt class="field-even">Return type</dt> |
||||||
|
<dd class="field-even"><p>numpy.ndArray</p> |
||||||
|
</dd> |
||||||
|
</dl> |
||||||
|
</dd></dl> |
||||||
|
|
||||||
|
<dl class="py method"> |
||||||
|
<dt id="PyCTBN.PyCTBN.estimators.structure_estimator.StructureEstimator.build_complete_graph"> |
||||||
|
<em class="property">static </em><code class="sig-name descname">build_complete_graph</code><span class="sig-paren">(</span><em class="sig-param"><span class="n">node_ids</span><span class="p">:</span> <span class="n">List</span></em><span class="sig-paren">)</span> → networkx.classes.digraph.DiGraph<a class="headerlink" href="#PyCTBN.PyCTBN.estimators.structure_estimator.StructureEstimator.build_complete_graph" title="Permalink to this definition">¶</a></dt> |
||||||
|
<dd><p>Builds a complete directed graph (no self loops) given the nodes labels in the list <code class="docutils literal notranslate"><span class="pre">node_ids</span></code>:</p> |
||||||
|
<dl class="field-list simple"> |
||||||
|
<dt class="field-odd">Parameters</dt> |
||||||
|
<dd class="field-odd"><p><strong>node_ids</strong> (<em>List</em>) – the list of nodes labels</p> |
||||||
|
</dd> |
||||||
|
<dt class="field-even">Returns</dt> |
||||||
|
<dd class="field-even"><p>a complete Digraph Object</p> |
||||||
|
</dd> |
||||||
|
<dt class="field-odd">Return type</dt> |
||||||
|
<dd class="field-odd"><p>networkx.DiGraph</p> |
||||||
|
</dd> |
||||||
|
</dl> |
||||||
|
</dd></dl> |
||||||
|
|
||||||
|
<dl class="py method"> |
||||||
|
<dt id="PyCTBN.PyCTBN.estimators.structure_estimator.StructureEstimator.build_removable_edges_matrix"> |
||||||
|
<code class="sig-name descname">build_removable_edges_matrix</code><span class="sig-paren">(</span><em class="sig-param"><span class="n">known_edges</span><span class="p">:</span> <span class="n">List</span></em><span class="sig-paren">)</span><a class="headerlink" href="#PyCTBN.PyCTBN.estimators.structure_estimator.StructureEstimator.build_removable_edges_matrix" title="Permalink to this definition">¶</a></dt> |
||||||
|
<dd><p>Builds a boolean matrix who shows if a edge could be removed or not, based on prior knowledge given:</p> |
||||||
|
<dl class="field-list simple"> |
||||||
|
<dt class="field-odd">Parameters</dt> |
||||||
|
<dd class="field-odd"><p><strong>known_edges</strong> (<em>List</em>) – the list of nodes labels</p> |
||||||
|
</dd> |
||||||
|
<dt class="field-even">Returns</dt> |
||||||
|
<dd class="field-even"><p>a boolean matrix</p> |
||||||
|
</dd> |
||||||
|
<dt class="field-odd">Return type</dt> |
||||||
|
<dd class="field-odd"><p>np.ndarray</p> |
||||||
|
</dd> |
||||||
|
</dl> |
||||||
|
</dd></dl> |
||||||
|
|
||||||
|
<dl class="py method"> |
||||||
|
<dt id="PyCTBN.PyCTBN.estimators.structure_estimator.StructureEstimator.estimate_structure"> |
||||||
|
<em class="property">abstract </em><code class="sig-name descname">estimate_structure</code><span class="sig-paren">(</span><span class="sig-paren">)</span> → List<a class="headerlink" href="#PyCTBN.PyCTBN.estimators.structure_estimator.StructureEstimator.estimate_structure" title="Permalink to this definition">¶</a></dt> |
||||||
|
<dd><p>Abstract method to estimate the structure</p> |
||||||
|
<dl class="field-list simple"> |
||||||
|
<dt class="field-odd">Returns</dt> |
||||||
|
<dd class="field-odd"><p>List of estimated edges</p> |
||||||
|
</dd> |
||||||
|
<dt class="field-even">Return type</dt> |
||||||
|
<dd class="field-even"><p>Typing.List</p> |
||||||
|
</dd> |
||||||
|
</dl> |
||||||
|
</dd></dl> |
||||||
|
|
||||||
|
<dl class="py method"> |
||||||
|
<dt id="PyCTBN.PyCTBN.estimators.structure_estimator.StructureEstimator.generate_possible_sub_sets_of_size"> |
||||||
|
<em class="property">static </em><code class="sig-name descname">generate_possible_sub_sets_of_size</code><span class="sig-paren">(</span><em class="sig-param"><span class="n">u</span><span class="p">:</span> <span class="n">List</span></em>, <em class="sig-param"><span class="n">size</span><span class="p">:</span> <span class="n">int</span></em>, <em class="sig-param"><span class="n">parent_label</span><span class="p">:</span> <span class="n">str</span></em><span class="sig-paren">)</span><a class="headerlink" href="#PyCTBN.PyCTBN.estimators.structure_estimator.StructureEstimator.generate_possible_sub_sets_of_size" title="Permalink to this definition">¶</a></dt> |
||||||
|
<dd><p>Creates a list containing all possible subsets of the list <code class="docutils literal notranslate"><span class="pre">u</span></code> of size <code class="docutils literal notranslate"><span class="pre">size</span></code>, |
||||||
|
that do not contains a the node identified by <code class="docutils literal notranslate"><span class="pre">parent_label</span></code>.</p> |
||||||
|
<dl class="field-list simple"> |
||||||
|
<dt class="field-odd">Parameters</dt> |
||||||
|
<dd class="field-odd"><ul class="simple"> |
||||||
|
<li><p><strong>u</strong> (<em>List</em>) – the list of nodes</p></li> |
||||||
|
<li><p><strong>size</strong> (<em>int</em>) – the size of the subsets</p></li> |
||||||
|
<li><p><strong>parent_label</strong> (<em>string</em>) – the node to exclude in the subsets generation</p></li> |
||||||
|
</ul> |
||||||
|
</dd> |
||||||
|
<dt class="field-even">Returns</dt> |
||||||
|
<dd class="field-even"><p>an Iterator Object containing a list of lists</p> |
||||||
|
</dd> |
||||||
|
<dt class="field-odd">Return type</dt> |
||||||
|
<dd class="field-odd"><p>Iterator</p> |
||||||
|
</dd> |
||||||
|
</dl> |
||||||
|
</dd></dl> |
||||||
|
|
||||||
|
<dl class="py method"> |
||||||
|
<dt id="PyCTBN.PyCTBN.estimators.structure_estimator.StructureEstimator.save_plot_estimated_structure_graph"> |
||||||
|
<code class="sig-name descname">save_plot_estimated_structure_graph</code><span class="sig-paren">(</span><em class="sig-param"><span class="n">file_path</span><span class="p">:</span> <span class="n">str</span></em><span class="sig-paren">)</span> → None<a class="headerlink" href="#PyCTBN.PyCTBN.estimators.structure_estimator.StructureEstimator.save_plot_estimated_structure_graph" title="Permalink to this definition">¶</a></dt> |
||||||
|
<dd><p>Plot the estimated structure in a graphical model style, use .png extension. |
||||||
|
Spurious edges are colored in red if a prior structure is present.</p> |
||||||
|
<dl class="field-list simple"> |
||||||
|
<dt class="field-odd">Parameters</dt> |
||||||
|
<dd class="field-odd"><p><strong>file_path</strong> – path to save the file to</p> |
||||||
|
</dd> |
||||||
|
<dt class="field-even">Type</dt> |
||||||
|
<dd class="field-even"><p>string</p> |
||||||
|
</dd> |
||||||
|
</dl> |
||||||
|
</dd></dl> |
||||||
|
|
||||||
|
<dl class="py method"> |
||||||
|
<dt id="PyCTBN.PyCTBN.estimators.structure_estimator.StructureEstimator.save_results"> |
||||||
|
<code class="sig-name descname">save_results</code><span class="sig-paren">(</span><span class="sig-paren">)</span> → None<a class="headerlink" href="#PyCTBN.PyCTBN.estimators.structure_estimator.StructureEstimator.save_results" title="Permalink to this definition">¶</a></dt> |
||||||
|
<dd><p>Save the estimated Structure to a .json file in the path where the data are loaded from. |
||||||
|
The file is named as the input dataset but the <cite>results_</cite> word is appended to the results file.</p> |
||||||
|
</dd></dl> |
||||||
|
|
||||||
|
<dl class="py method"> |
||||||
|
<dt id="PyCTBN.PyCTBN.estimators.structure_estimator.StructureEstimator.spurious_edges"> |
||||||
|
<code class="sig-name descname">spurious_edges</code><span class="sig-paren">(</span><span class="sig-paren">)</span> → List<a class="headerlink" href="#PyCTBN.PyCTBN.estimators.structure_estimator.StructureEstimator.spurious_edges" title="Permalink to this definition">¶</a></dt> |
||||||
|
<dd><dl class="simple"> |
||||||
|
<dt>Return the spurious edges present in the estimated structure, if a prior net structure is present in</dt><dd><p><code class="docutils literal notranslate"><span class="pre">_sample_path.structure</span></code>.</p> |
||||||
|
</dd> |
||||||
|
</dl> |
||||||
|
<dl class="field-list simple"> |
||||||
|
<dt class="field-odd">Returns</dt> |
||||||
|
<dd class="field-odd"><p>A list containing the spurious edges</p> |
||||||
|
</dd> |
||||||
|
<dt class="field-even">Return type</dt> |
||||||
|
<dd class="field-even"><p>List</p> |
||||||
|
</dd> |
||||||
|
</dl> |
||||||
|
</dd></dl> |
||||||
|
|
||||||
|
</dd></dl> |
||||||
|
|
||||||
|
</div> |
||||||
|
<div class="section" id="module-PyCTBN.PyCTBN.estimators.structure_score_based_estimator"> |
||||||
|
<span id="pyctbn-pyctbn-estimators-structure-score-based-estimator-module"></span><h2>PyCTBN.PyCTBN.estimators.structure_score_based_estimator module<a class="headerlink" href="#module-PyCTBN.PyCTBN.estimators.structure_score_based_estimator" title="Permalink to this headline">¶</a></h2> |
||||||
|
<dl class="py class"> |
||||||
|
<dt id="PyCTBN.PyCTBN.estimators.structure_score_based_estimator.StructureScoreBasedEstimator"> |
||||||
|
<em class="property">class </em><code class="sig-prename descclassname">PyCTBN.PyCTBN.estimators.structure_score_based_estimator.</code><code class="sig-name descname">StructureScoreBasedEstimator</code><span class="sig-paren">(</span><em class="sig-param"><span class="n">sample_path</span><span class="p">:</span> <span class="n"><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">PyCTBN.PyCTBN.structure_graph.sample_path.SamplePath</a></span></em>, <em class="sig-param"><span class="n">tau_xu</span><span class="p">:</span> <span class="n">int</span> <span class="o">=</span> <span class="default_value">0.1</span></em>, <em class="sig-param"><span class="n">alpha_xu</span><span class="p">:</span> <span class="n">int</span> <span class="o">=</span> <span class="default_value">1</span></em>, <em class="sig-param"><span class="n">known_edges</span><span class="p">:</span> <span class="n">List</span> <span class="o">=</span> <span class="default_value">[]</span></em><span class="sig-paren">)</span><a class="headerlink" href="#PyCTBN.PyCTBN.estimators.structure_score_based_estimator.StructureScoreBasedEstimator" title="Permalink to this definition">¶</a></dt> |
||||||
|
<dd><p>Bases: <a class="reference internal" href="#PyCTBN.PyCTBN.estimators.structure_estimator.StructureEstimator" title="PyCTBN.PyCTBN.estimators.structure_estimator.StructureEstimator"><code class="xref py py-class docutils literal notranslate"><span class="pre">PyCTBN.PyCTBN.estimators.structure_estimator.StructureEstimator</span></code></a></p> |
||||||
|
<p>Has the task of estimating the network structure given the trajectories in samplepath by |
||||||
|
using a score based approach.</p> |
||||||
|
<dl class="field-list simple"> |
||||||
|
<dt class="field-odd">Parameters</dt> |
||||||
|
<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>tau_xu</strong> (<em>float</em><em>, </em><em>optional</em>) – hyperparameter over the CTBN’s q parameters, default to 0.1</p></li> |
||||||
|
<li><p><strong>alpha_xu</strong> (<em>float</em><em>, </em><em>optional</em>) – hyperparameter over the CTBN’s q parameters, default to 1</p></li> |
||||||
|
<li><p><strong>known_edges</strong> (<em>List</em><em>, </em><em>optional</em>) – List of known edges, default to []</p></li> |
||||||
|
</ul> |
||||||
|
</dd> |
||||||
|
</dl> |
||||||
|
<dl class="py method"> |
||||||
|
<dt id="PyCTBN.PyCTBN.estimators.structure_score_based_estimator.StructureScoreBasedEstimator.estimate_parents"> |
||||||
|
<code class="sig-name descname">estimate_parents</code><span class="sig-paren">(</span><em class="sig-param"><span class="n">node_id</span><span class="p">:</span> <span class="n">str</span></em>, <em class="sig-param"><span class="n">max_parents</span><span class="p">:</span> <span class="n">int</span> <span class="o">=</span> <span class="default_value">None</span></em>, <em class="sig-param"><span class="n">iterations_number</span><span class="p">:</span> <span class="n">int</span> <span class="o">=</span> <span class="default_value">40</span></em>, <em class="sig-param"><span class="n">patience</span><span class="p">:</span> <span class="n">int</span> <span class="o">=</span> <span class="default_value">10</span></em>, <em class="sig-param"><span class="n">tabu_length</span><span class="p">:</span> <span class="n">int</span> <span class="o">=</span> <span class="default_value">None</span></em>, <em class="sig-param"><span class="n">tabu_rules_duration</span><span class="p">:</span> <span class="n">int</span> <span class="o">=</span> <span class="default_value">5</span></em>, <em class="sig-param"><span class="n">optimizer</span><span class="p">:</span> <span class="n">str</span> <span class="o">=</span> <span class="default_value">'hill'</span></em><span class="sig-paren">)</span><a class="headerlink" href="#PyCTBN.PyCTBN.estimators.structure_score_based_estimator.StructureScoreBasedEstimator.estimate_parents" title="Permalink to this definition">¶</a></dt> |
||||||
|
<dd><p>Use the FamScore of a node in order to find the best parent nodes</p> |
||||||
|
<dl class="field-list simple"> |
||||||
|
<dt class="field-odd">Parameters</dt> |
||||||
|
<dd class="field-odd"><ul class="simple"> |
||||||
|
<li><p><strong>node_id</strong> (<em>string</em>) – current node’s id</p></li> |
||||||
|
<li><p><strong>max_parents</strong> (<em>int</em><em>, </em><em>optional</em>) – maximum number of parents for each variable. If None, disabled, default to None</p></li> |
||||||
|
<li><p><strong>iterations_number</strong> (<em>int</em><em>, </em><em>optional</em>) – maximum number of optimization algorithm’s iteration, default to 40</p></li> |
||||||
|
<li><p><strong>patience</strong> (<em>int</em><em>, </em><em>optional</em>) – number of iteration without any improvement before to stop the search.If None, disabled, default to None</p></li> |
||||||
|
<li><p><strong>tabu_length</strong> (<em>int</em><em>, </em><em>optional</em>) – maximum lenght of the data structures used in the optimization process, default to None</p></li> |
||||||
|
<li><p><strong>tabu_rules_duration</strong> (<em>int</em><em>, </em><em>optional</em>) – number of iterations in which each rule keeps its value, default to None</p></li> |
||||||
|
<li><p><strong>optimizer</strong> (<em>string</em><em>, </em><em>optional</em>) – name of the optimizer algorithm. Possible values: ‘hill’ (Hill climbing),’tabu’ (tabu search), defualt to ‘tabu’</p></li> |
||||||
|
</ul> |
||||||
|
</dd> |
||||||
|
<dt class="field-even">Returns</dt> |
||||||
|
<dd class="field-even"><p>A list of the best edges for the currente node</p> |
||||||
|
</dd> |
||||||
|
<dt class="field-odd">Return type</dt> |
||||||
|
<dd class="field-odd"><p>List</p> |
||||||
|
</dd> |
||||||
|
</dl> |
||||||
|
</dd></dl> |
||||||
|
|
||||||
|
<dl class="py method"> |
||||||
|
<dt id="PyCTBN.PyCTBN.estimators.structure_score_based_estimator.StructureScoreBasedEstimator.estimate_structure"> |
||||||
|
<code class="sig-name descname">estimate_structure</code><span class="sig-paren">(</span><em class="sig-param"><span class="n">max_parents</span><span class="p">:</span> <span class="n">int</span> <span class="o">=</span> <span class="default_value">None</span></em>, <em class="sig-param"><span class="n">iterations_number</span><span class="p">:</span> <span class="n">int</span> <span class="o">=</span> <span class="default_value">40</span></em>, <em class="sig-param"><span class="n">patience</span><span class="p">:</span> <span class="n">int</span> <span class="o">=</span> <span class="default_value">None</span></em>, <em class="sig-param"><span class="n">tabu_length</span><span class="p">:</span> <span class="n">int</span> <span class="o">=</span> <span class="default_value">None</span></em>, <em class="sig-param"><span class="n">tabu_rules_duration</span><span class="p">:</span> <span class="n">int</span> <span class="o">=</span> <span class="default_value">None</span></em>, <em class="sig-param"><span class="n">optimizer</span><span class="p">:</span> <span class="n">str</span> <span class="o">=</span> <span class="default_value">'tabu'</span></em>, <em class="sig-param"><span class="n">disable_multiprocessing</span><span class="p">:</span> <span class="n">bool</span> <span class="o">=</span> <span class="default_value">False</span></em><span class="sig-paren">)</span><a class="headerlink" href="#PyCTBN.PyCTBN.estimators.structure_score_based_estimator.StructureScoreBasedEstimator.estimate_structure" title="Permalink to this definition">¶</a></dt> |
||||||
|
<dd><p>Compute the score-based algorithm to find the optimal structure</p> |
||||||
|
<dl class="field-list simple"> |
||||||
|
<dt class="field-odd">Parameters</dt> |
||||||
|
<dd class="field-odd"><ul class="simple"> |
||||||
|
<li><p><strong>max_parents</strong> (<em>int</em><em>, </em><em>optional</em>) – maximum number of parents for each variable. If None, disabled, default to None</p></li> |
||||||
|
<li><p><strong>iterations_number</strong> (<em>int</em><em>, </em><em>optional</em>) – maximum number of optimization algorithm’s iteration, default to 40</p></li> |
||||||
|
<li><p><strong>patience</strong> (<em>int</em><em>, </em><em>optional</em>) – number of iteration without any improvement before to stop the search.If None, disabled, default to None</p></li> |
||||||
|
<li><p><strong>tabu_length</strong> (<em>int</em><em>, </em><em>optional</em>) – maximum lenght of the data structures used in the optimization process, default to None</p></li> |
||||||
|
<li><p><strong>tabu_rules_duration</strong> (<em>int</em><em>, </em><em>optional</em>) – number of iterations in which each rule keeps its value, default to None</p></li> |
||||||
|
<li><p><strong>optimizer</strong> (<em>string</em><em>, </em><em>optional</em>) – name of the optimizer algorithm. Possible values: ‘hill’ (Hill climbing),’tabu’ (tabu search), defualt to ‘tabu’</p></li> |
||||||
|
<li><p><strong>disable_multiprocessing</strong> (<em>Boolean</em><em>, </em><em>optional</em>) – true if you desire to disable the multiprocessing operations, default to False</p></li> |
||||||
|
</ul> |
||||||
|
</dd> |
||||||
|
</dl> |
||||||
|
</dd></dl> |
||||||
|
|
||||||
|
<dl class="py method"> |
||||||
|
<dt id="PyCTBN.PyCTBN.estimators.structure_score_based_estimator.StructureScoreBasedEstimator.get_score_from_graph"> |
||||||
|
<code class="sig-name descname">get_score_from_graph</code><span class="sig-paren">(</span><em class="sig-param"><span class="n">graph</span><span class="p">:</span> <span class="n"><a class="reference internal" href="PyCTBN.PyCTBN.structure_graph.html#PyCTBN.PyCTBN.structure_graph.network_graph.NetworkGraph" title="PyCTBN.PyCTBN.structure_graph.network_graph.NetworkGraph">PyCTBN.PyCTBN.structure_graph.network_graph.NetworkGraph</a></span></em>, <em class="sig-param"><span class="n">node_id</span><span class="p">:</span> <span class="n">str</span></em><span class="sig-paren">)</span><a class="headerlink" href="#PyCTBN.PyCTBN.estimators.structure_score_based_estimator.StructureScoreBasedEstimator.get_score_from_graph" title="Permalink to this definition">¶</a></dt> |
||||||
|
<dd><p>Get the FamScore of a node</p> |
||||||
|
<dl class="field-list simple"> |
||||||
|
<dt class="field-odd">Parameters</dt> |
||||||
|
<dd class="field-odd"><ul class="simple"> |
||||||
|
<li><p><strong>node_id</strong> (<em>string</em>) – current node’s id</p></li> |
||||||
|
<li><p><strong>graph</strong> (<em>class:'NetworkGraph'</em>) – current graph to be computed</p></li> |
||||||
|
</ul> |
||||||
|
</dd> |
||||||
|
<dt class="field-even">Returns</dt> |
||||||
|
<dd class="field-even"><p>The FamSCore for this graph structure</p> |
||||||
|
</dd> |
||||||
|
<dt class="field-odd">Return type</dt> |
||||||
|
<dd class="field-odd"><p>float</p> |
||||||
|
</dd> |
||||||
|
</dl> |
||||||
|
</dd></dl> |
||||||
|
|
||||||
|
</dd></dl> |
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||||||
|
</div> |
||||||
|
<div class="section" id="module-PyCTBN.PyCTBN.estimators"> |
||||||
|
<span id="module-contents"></span><h2>Module contents<a class="headerlink" href="#module-PyCTBN.PyCTBN.estimators" title="Permalink to this headline">¶</a></h2> |
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<h1>PyCTBN.PyCTBN package<a class="headerlink" href="#pyctbn-pyctbn-package" title="Permalink to this headline">¶</a></h1> |
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<div class="section" id="subpackages"> |
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<ul> |
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<li class="toctree-l1"><a class="reference internal" href="PyCTBN.PyCTBN.estimators.html">PyCTBN.PyCTBN.estimators package</a><ul> |
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<li class="toctree-l2"><a class="reference internal" href="PyCTBN.PyCTBN.estimators.html#submodules">Submodules</a></li> |
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<li class="toctree-l2"><a class="reference internal" href="PyCTBN.PyCTBN.estimators.html#module-PyCTBN.PyCTBN.estimators.structure_constraint_based_estimator">PyCTBN.PyCTBN.estimators.structure_constraint_based_estimator module</a></li> |
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<li class="toctree-l2"><a class="reference internal" href="PyCTBN.PyCTBN.estimators.html#module-PyCTBN.PyCTBN.estimators.structure_estimator">PyCTBN.PyCTBN.estimators.structure_estimator module</a></li> |
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<li class="toctree-l2"><a class="reference internal" href="PyCTBN.PyCTBN.optimizers.html#module-PyCTBN.PyCTBN.optimizers.hill_climbing_search">PyCTBN.PyCTBN.optimizers.hill_climbing_search module</a></li> |
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<li class="toctree-l2"><a class="reference internal" href="PyCTBN.PyCTBN.optimizers.html#module-PyCTBN.PyCTBN.optimizers.optimizer">PyCTBN.PyCTBN.optimizers.optimizer module</a></li> |
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<li class="toctree-l2"><a class="reference internal" href="PyCTBN.PyCTBN.optimizers.html#module-PyCTBN.PyCTBN.optimizers">Module contents</a></li> |
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<li class="toctree-l1"><a class="reference internal" href="PyCTBN.PyCTBN.structure_graph.html">PyCTBN.PyCTBN.structure_graph package</a><ul> |
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<li class="toctree-l2"><a class="reference internal" href="PyCTBN.PyCTBN.structure_graph.html#module-PyCTBN.PyCTBN.structure_graph.set_of_cims">PyCTBN.PyCTBN.structure_graph.set_of_cims module</a></li> |
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<li class="toctree-l2"><a class="reference internal" href="PyCTBN.PyCTBN.structure_graph.html#module-PyCTBN.PyCTBN.structure_graph.structure">PyCTBN.PyCTBN.structure_graph.structure module</a></li> |
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<li class="toctree-l2"><a class="reference internal" href="PyCTBN.PyCTBN.structure_graph.html#module-PyCTBN.PyCTBN.structure_graph.trajectory">PyCTBN.PyCTBN.structure_graph.trajectory module</a></li> |
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<li class="toctree-l2"><a class="reference internal" href="PyCTBN.PyCTBN.structure_graph.html#module-PyCTBN.PyCTBN.structure_graph">Module contents</a></li> |
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<li class="toctree-l2"><a class="reference internal" href="PyCTBN.PyCTBN.utility.html#module-PyCTBN.PyCTBN.utility.abstract_importer">PyCTBN.PyCTBN.utility.abstract_importer module</a></li> |
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<li class="toctree-l2"><a class="reference internal" href="PyCTBN.PyCTBN.utility.html#module-PyCTBN.PyCTBN.utility.cache">PyCTBN.PyCTBN.utility.cache module</a></li> |
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<li class="toctree-l2"><a class="reference internal" href="PyCTBN.PyCTBN.utility.html#module-PyCTBN.PyCTBN.utility.json_importer">PyCTBN.PyCTBN.utility.json_importer module</a></li> |
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<li class="toctree-l2"><a class="reference internal" href="PyCTBN.PyCTBN.utility.html#module-PyCTBN.PyCTBN.utility.sample_importer">PyCTBN.PyCTBN.utility.sample_importer module</a></li> |
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<li class="toctree-l2"><a class="reference internal" href="PyCTBN.PyCTBN.utility.html#module-PyCTBN.PyCTBN.utility">Module contents</a></li> |
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<div class="section" id="module-PyCTBN.PyCTBN"> |
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<span id="module-contents"></span><h2>Module contents<a class="headerlink" href="#module-PyCTBN.PyCTBN" title="Permalink to this headline">¶</a></h2> |
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<div class="section" id="pyctbn-pyctbn-optimizers-package"> |
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<h1>PyCTBN.PyCTBN.optimizers package<a class="headerlink" href="#pyctbn-pyctbn-optimizers-package" title="Permalink to this headline">¶</a></h1> |
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<div class="section" id="submodules"> |
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<h2>Submodules<a class="headerlink" href="#submodules" title="Permalink to this headline">¶</a></h2> |
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<div class="section" id="module-PyCTBN.PyCTBN.optimizers.constraint_based_optimizer"> |
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<span id="pyctbn-pyctbn-optimizers-constraint-based-optimizer-module"></span><h2>PyCTBN.PyCTBN.optimizers.constraint_based_optimizer module<a class="headerlink" href="#module-PyCTBN.PyCTBN.optimizers.constraint_based_optimizer" title="Permalink to this headline">¶</a></h2> |
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<dt id="PyCTBN.PyCTBN.optimizers.constraint_based_optimizer.ConstraintBasedOptimizer"> |
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<em class="property">class </em><code class="sig-prename descclassname">PyCTBN.PyCTBN.optimizers.constraint_based_optimizer.</code><code class="sig-name descname">ConstraintBasedOptimizer</code><span class="sig-paren">(</span><em class="sig-param"><span class="n">node_id</span><span class="p">:</span> <span class="n">str</span></em>, <em class="sig-param"><span class="n">structure_estimator</span><span class="p">:</span> <span class="n"><a class="reference internal" href="PyCTBN.PyCTBN.estimators.html#PyCTBN.PyCTBN.estimators.structure_estimator.StructureEstimator" title="PyCTBN.PyCTBN.estimators.structure_estimator.StructureEstimator">PyCTBN.PyCTBN.estimators.structure_estimator.StructureEstimator</a></span></em>, <em class="sig-param"><span class="n">tot_vars_count</span><span class="p">:</span> <span class="n">int</span></em><span class="sig-paren">)</span><a class="headerlink" href="#PyCTBN.PyCTBN.optimizers.constraint_based_optimizer.ConstraintBasedOptimizer" title="Permalink to this definition">¶</a></dt> |
||||||
|
<dd><p>Bases: <a class="reference internal" href="#PyCTBN.PyCTBN.optimizers.optimizer.Optimizer" title="PyCTBN.PyCTBN.optimizers.optimizer.Optimizer"><code class="xref py py-class docutils literal notranslate"><span class="pre">PyCTBN.PyCTBN.optimizers.optimizer.Optimizer</span></code></a></p> |
||||||
|
<p>Optimizer class that implement a CTPC Algorithm</p> |
||||||
|
<dl class="field-list simple"> |
||||||
|
<dt class="field-odd">Parameters</dt> |
||||||
|
<dd class="field-odd"><ul class="simple"> |
||||||
|
<li><p><strong>node_id</strong> (<em>string</em>) – current node’s id</p></li> |
||||||
|
<li><p><strong>structure_estimator</strong> (<em>class:'StructureEstimator'</em>) – a structure estimator object with the information about the net</p></li> |
||||||
|
<li><p><strong>tot_vars_count</strong> (<em>int</em>) – number of variables in the dataset</p></li> |
||||||
|
</ul> |
||||||
|
</dd> |
||||||
|
</dl> |
||||||
|
<dl class="py method"> |
||||||
|
<dt id="PyCTBN.PyCTBN.optimizers.constraint_based_optimizer.ConstraintBasedOptimizer.optimize_structure"> |
||||||
|
<code class="sig-name descname">optimize_structure</code><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="headerlink" href="#PyCTBN.PyCTBN.optimizers.constraint_based_optimizer.ConstraintBasedOptimizer.optimize_structure" title="Permalink to this definition">¶</a></dt> |
||||||
|
<dd><p>Compute Optimization process for a structure_estimator by using a CTPC Algorithm</p> |
||||||
|
<dl class="field-list simple"> |
||||||
|
<dt class="field-odd">Returns</dt> |
||||||
|
<dd class="field-odd"><p>the estimated structure for the node</p> |
||||||
|
</dd> |
||||||
|
<dt class="field-even">Return type</dt> |
||||||
|
<dd class="field-even"><p>List</p> |
||||||
|
</dd> |
||||||
|
</dl> |
||||||
|
</dd></dl> |
||||||
|
|
||||||
|
</dd></dl> |
||||||
|
|
||||||
|
</div> |
||||||
|
<div class="section" id="module-PyCTBN.PyCTBN.optimizers.hill_climbing_search"> |
||||||
|
<span id="pyctbn-pyctbn-optimizers-hill-climbing-search-module"></span><h2>PyCTBN.PyCTBN.optimizers.hill_climbing_search module<a class="headerlink" href="#module-PyCTBN.PyCTBN.optimizers.hill_climbing_search" title="Permalink to this headline">¶</a></h2> |
||||||
|
<dl class="py class"> |
||||||
|
<dt id="PyCTBN.PyCTBN.optimizers.hill_climbing_search.HillClimbing"> |
||||||
|
<em class="property">class </em><code class="sig-prename descclassname">PyCTBN.PyCTBN.optimizers.hill_climbing_search.</code><code class="sig-name descname">HillClimbing</code><span class="sig-paren">(</span><em class="sig-param"><span class="n">node_id</span><span class="p">:</span> <span class="n">str</span></em>, <em class="sig-param"><span class="n">structure_estimator</span><span class="p">:</span> <span class="n"><a class="reference internal" href="PyCTBN.PyCTBN.estimators.html#PyCTBN.PyCTBN.estimators.structure_estimator.StructureEstimator" title="PyCTBN.PyCTBN.estimators.structure_estimator.StructureEstimator">PyCTBN.PyCTBN.estimators.structure_estimator.StructureEstimator</a></span></em>, <em class="sig-param"><span class="n">max_parents</span><span class="p">:</span> <span class="n">int</span> <span class="o">=</span> <span class="default_value">None</span></em>, <em class="sig-param"><span class="n">iterations_number</span><span class="p">:</span> <span class="n">int</span> <span class="o">=</span> <span class="default_value">40</span></em>, <em class="sig-param"><span class="n">patience</span><span class="p">:</span> <span class="n">int</span> <span class="o">=</span> <span class="default_value">None</span></em><span class="sig-paren">)</span><a class="headerlink" href="#PyCTBN.PyCTBN.optimizers.hill_climbing_search.HillClimbing" title="Permalink to this definition">¶</a></dt> |
||||||
|
<dd><p>Bases: <a class="reference internal" href="#PyCTBN.PyCTBN.optimizers.optimizer.Optimizer" title="PyCTBN.PyCTBN.optimizers.optimizer.Optimizer"><code class="xref py py-class docutils literal notranslate"><span class="pre">PyCTBN.PyCTBN.optimizers.optimizer.Optimizer</span></code></a></p> |
||||||
|
<p>Optimizer class that implement Hill Climbing Search</p> |
||||||
|
<dl class="field-list simple"> |
||||||
|
<dt class="field-odd">Parameters</dt> |
||||||
|
<dd class="field-odd"><ul class="simple"> |
||||||
|
<li><p><strong>node_id</strong> (<em>string</em>) – current node’s id</p></li> |
||||||
|
<li><p><strong>structure_estimator</strong> (<em>class:'StructureEstimator'</em>) – a structure estimator object with the information about the net</p></li> |
||||||
|
<li><p><strong>max_parents</strong> (<em>int</em><em>, </em><em>optional</em>) – maximum number of parents for each variable. If None, disabled, default to None</p></li> |
||||||
|
<li><p><strong>iterations_number</strong> (<em>int</em><em>, </em><em>optional</em>) – maximum number of optimization algorithm’s iteration, default to 40</p></li> |
||||||
|
<li><p><strong>patience</strong> (<em>int</em><em>, </em><em>optional</em>) – number of iteration without any improvement before to stop the search.If None, disabled, default to None</p></li> |
||||||
|
</ul> |
||||||
|
</dd> |
||||||
|
</dl> |
||||||
|
<dl class="py method"> |
||||||
|
<dt id="PyCTBN.PyCTBN.optimizers.hill_climbing_search.HillClimbing.optimize_structure"> |
||||||
|
<code class="sig-name descname">optimize_structure</code><span class="sig-paren">(</span><span class="sig-paren">)</span> → List<a class="headerlink" href="#PyCTBN.PyCTBN.optimizers.hill_climbing_search.HillClimbing.optimize_structure" title="Permalink to this definition">¶</a></dt> |
||||||
|
<dd><p>Compute Optimization process for a structure_estimator by using a Hill Climbing Algorithm</p> |
||||||
|
<dl class="field-list simple"> |
||||||
|
<dt class="field-odd">Returns</dt> |
||||||
|
<dd class="field-odd"><p>the estimated structure for the node</p> |
||||||
|
</dd> |
||||||
|
<dt class="field-even">Return type</dt> |
||||||
|
<dd class="field-even"><p>List</p> |
||||||
|
</dd> |
||||||
|
</dl> |
||||||
|
</dd></dl> |
||||||
|
|
||||||
|
</dd></dl> |
||||||
|
|
||||||
|
</div> |
||||||
|
<div class="section" id="module-PyCTBN.PyCTBN.optimizers.optimizer"> |
||||||
|
<span id="pyctbn-pyctbn-optimizers-optimizer-module"></span><h2>PyCTBN.PyCTBN.optimizers.optimizer module<a class="headerlink" href="#module-PyCTBN.PyCTBN.optimizers.optimizer" title="Permalink to this headline">¶</a></h2> |
||||||
|
<dl class="py class"> |
||||||
|
<dt id="PyCTBN.PyCTBN.optimizers.optimizer.Optimizer"> |
||||||
|
<em class="property">class </em><code class="sig-prename descclassname">PyCTBN.PyCTBN.optimizers.optimizer.</code><code class="sig-name descname">Optimizer</code><span class="sig-paren">(</span><em class="sig-param"><span class="n">node_id</span><span class="p">:</span> <span class="n">str</span></em>, <em class="sig-param"><span class="n">structure_estimator</span><span class="p">:</span> <span class="n"><a class="reference internal" href="PyCTBN.PyCTBN.estimators.html#PyCTBN.PyCTBN.estimators.structure_estimator.StructureEstimator" title="PyCTBN.PyCTBN.estimators.structure_estimator.StructureEstimator">PyCTBN.PyCTBN.estimators.structure_estimator.StructureEstimator</a></span></em><span class="sig-paren">)</span><a class="headerlink" href="#PyCTBN.PyCTBN.optimizers.optimizer.Optimizer" title="Permalink to this definition">¶</a></dt> |
||||||
|
<dd><p>Bases: <code class="xref py py-class docutils literal notranslate"><span class="pre">abc.ABC</span></code></p> |
||||||
|
<p>Interface class for all the optimizer’s child PyCTBN</p> |
||||||
|
<dl class="field-list simple"> |
||||||
|
<dt class="field-odd">Parameters</dt> |
||||||
|
<dd class="field-odd"><ul class="simple"> |
||||||
|
<li><p><strong>node_id</strong> (<em>string</em>) – the node label</p></li> |
||||||
|
<li><p><strong>structure_estimator</strong> (<em>class:'StructureEstimator'</em>) – A structureEstimator Object to predict the structure</p></li> |
||||||
|
</ul> |
||||||
|
</dd> |
||||||
|
</dl> |
||||||
|
<dl class="py method"> |
||||||
|
<dt id="PyCTBN.PyCTBN.optimizers.optimizer.Optimizer.optimize_structure"> |
||||||
|
<em class="property">abstract </em><code class="sig-name descname">optimize_structure</code><span class="sig-paren">(</span><span class="sig-paren">)</span> → List<a class="headerlink" href="#PyCTBN.PyCTBN.optimizers.optimizer.Optimizer.optimize_structure" title="Permalink to this definition">¶</a></dt> |
||||||
|
<dd><p>Compute Optimization process for a structure_estimator</p> |
||||||
|
<dl class="field-list simple"> |
||||||
|
<dt class="field-odd">Returns</dt> |
||||||
|
<dd class="field-odd"><p>the estimated structure for the node</p> |
||||||
|
</dd> |
||||||
|
<dt class="field-even">Return type</dt> |
||||||
|
<dd class="field-even"><p>List</p> |
||||||
|
</dd> |
||||||
|
</dl> |
||||||
|
</dd></dl> |
||||||
|
|
||||||
|
</dd></dl> |
||||||
|
|
||||||
|
</div> |
||||||
|
<div class="section" id="module-PyCTBN.PyCTBN.optimizers.tabu_search"> |
||||||
|
<span id="pyctbn-pyctbn-optimizers-tabu-search-module"></span><h2>PyCTBN.PyCTBN.optimizers.tabu_search module<a class="headerlink" href="#module-PyCTBN.PyCTBN.optimizers.tabu_search" title="Permalink to this headline">¶</a></h2> |
||||||
|
<dl class="py class"> |
||||||
|
<dt id="PyCTBN.PyCTBN.optimizers.tabu_search.TabuSearch"> |
||||||
|
<em class="property">class </em><code class="sig-prename descclassname">PyCTBN.PyCTBN.optimizers.tabu_search.</code><code class="sig-name descname">TabuSearch</code><span class="sig-paren">(</span><em class="sig-param"><span class="n">node_id</span><span class="p">:</span> <span class="n">str</span></em>, <em class="sig-param"><span class="n">structure_estimator</span><span class="p">:</span> <span class="n"><a class="reference internal" href="PyCTBN.PyCTBN.estimators.html#PyCTBN.PyCTBN.estimators.structure_estimator.StructureEstimator" title="PyCTBN.PyCTBN.estimators.structure_estimator.StructureEstimator">PyCTBN.PyCTBN.estimators.structure_estimator.StructureEstimator</a></span></em>, <em class="sig-param"><span class="n">max_parents</span><span class="p">:</span> <span class="n">int</span> <span class="o">=</span> <span class="default_value">None</span></em>, <em class="sig-param"><span class="n">iterations_number</span><span class="p">:</span> <span class="n">int</span> <span class="o">=</span> <span class="default_value">40</span></em>, <em class="sig-param"><span class="n">patience</span><span class="p">:</span> <span class="n">int</span> <span class="o">=</span> <span class="default_value">None</span></em>, <em class="sig-param"><span class="n">tabu_length</span><span class="p">:</span> <span class="n">int</span> <span class="o">=</span> <span class="default_value">None</span></em>, <em class="sig-param"><span class="n">tabu_rules_duration</span><span class="o">=</span><span class="default_value">None</span></em><span class="sig-paren">)</span><a class="headerlink" href="#PyCTBN.PyCTBN.optimizers.tabu_search.TabuSearch" title="Permalink to this definition">¶</a></dt> |
||||||
|
<dd><p>Bases: <a class="reference internal" href="#PyCTBN.PyCTBN.optimizers.optimizer.Optimizer" title="PyCTBN.PyCTBN.optimizers.optimizer.Optimizer"><code class="xref py py-class docutils literal notranslate"><span class="pre">PyCTBN.PyCTBN.optimizers.optimizer.Optimizer</span></code></a></p> |
||||||
|
<p>Optimizer class that implement Tabu Search</p> |
||||||
|
<dl class="field-list simple"> |
||||||
|
<dt class="field-odd">Parameters</dt> |
||||||
|
<dd class="field-odd"><ul class="simple"> |
||||||
|
<li><p><strong>node_id</strong> (<em>string</em>) – current node’s id</p></li> |
||||||
|
<li><p><strong>structure_estimator</strong> (<em>class:'StructureEstimator'</em>) – a structure estimator object with the information about the net</p></li> |
||||||
|
<li><p><strong>max_parents</strong> (<em>int</em><em>, </em><em>optional</em>) – maximum number of parents for each variable. If None, disabled, default to None</p></li> |
||||||
|
<li><p><strong>iterations_number</strong> (<em>int</em><em>, </em><em>optional</em>) – maximum number of optimization algorithm’s iteration, default to 40</p></li> |
||||||
|
<li><p><strong>patience</strong> (<em>int</em><em>, </em><em>optional</em>) – number of iteration without any improvement before to stop the search.If None, disabled, default to None</p></li> |
||||||
|
<li><p><strong>tabu_length</strong> (<em>int</em><em>, </em><em>optional</em>) – maximum lenght of the data structures used in the optimization process, default to None</p></li> |
||||||
|
<li><p><strong>tabu_rules_duration</strong> (<em>int</em><em>, </em><em>optional</em>) – number of iterations in which each rule keeps its value, default to None</p></li> |
||||||
|
</ul> |
||||||
|
</dd> |
||||||
|
</dl> |
||||||
|
<dl class="py method"> |
||||||
|
<dt id="PyCTBN.PyCTBN.optimizers.tabu_search.TabuSearch.optimize_structure"> |
||||||
|
<code class="sig-name descname">optimize_structure</code><span class="sig-paren">(</span><span class="sig-paren">)</span> → List<a class="headerlink" href="#PyCTBN.PyCTBN.optimizers.tabu_search.TabuSearch.optimize_structure" title="Permalink to this definition">¶</a></dt> |
||||||
|
<dd><p>Compute Optimization process for a structure_estimator by using a Hill Climbing Algorithm</p> |
||||||
|
<dl class="field-list simple"> |
||||||
|
<dt class="field-odd">Returns</dt> |
||||||
|
<dd class="field-odd"><p>the estimated structure for the node</p> |
||||||
|
</dd> |
||||||
|
<dt class="field-even">Return type</dt> |
||||||
|
<dd class="field-even"><p>List</p> |
||||||
|
</dd> |
||||||
|
</dl> |
||||||
|
</dd></dl> |
||||||
|
|
||||||
|
</dd></dl> |
||||||
|
|
||||||
|
</div> |
||||||
|
<div class="section" id="module-PyCTBN.PyCTBN.optimizers"> |
||||||
|
<span id="module-contents"></span><h2>Module contents<a class="headerlink" href="#module-PyCTBN.PyCTBN.optimizers" title="Permalink to this headline">¶</a></h2> |
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<li class="toctree-l2 current"><a class="reference internal" href="PyCTBN.PyCTBN.html">PyCTBN.PyCTBN package</a></li> |
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<li class="toctree-l2"><a class="reference internal" href="examples.html">Examples</a></li> |
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<div id="content" class="hfeed entry-container hentry"> |
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<div class="section" id="pyctbn-pyctbn-structure-graph-package"> |
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<h1>PyCTBN.PyCTBN.structure_graph package<a class="headerlink" href="#pyctbn-pyctbn-structure-graph-package" title="Permalink to this headline">¶</a></h1> |
||||||
|
<div class="section" id="submodules"> |
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|
<h2>Submodules<a class="headerlink" href="#submodules" title="Permalink to this headline">¶</a></h2> |
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</div> |
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<div class="section" id="module-PyCTBN.PyCTBN.structure_graph.conditional_intensity_matrix"> |
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<span id="pyctbn-pyctbn-structure-graph-conditional-intensity-matrix-module"></span><h2>PyCTBN.PyCTBN.structure_graph.conditional_intensity_matrix module<a class="headerlink" href="#module-PyCTBN.PyCTBN.structure_graph.conditional_intensity_matrix" title="Permalink to this headline">¶</a></h2> |
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<dl class="py class"> |
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<dt id="PyCTBN.PyCTBN.structure_graph.conditional_intensity_matrix.ConditionalIntensityMatrix"> |
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|
<em class="property">class </em><code class="sig-prename descclassname">PyCTBN.PyCTBN.structure_graph.conditional_intensity_matrix.</code><code class="sig-name descname">ConditionalIntensityMatrix</code><span class="sig-paren">(</span><em class="sig-param"><span class="n">state_residence_times</span><span class="p">:</span> <span class="n">numpy.array</span></em>, <em class="sig-param"><span class="n">state_transition_matrix</span><span class="p">:</span> <span class="n">numpy.array</span></em><span class="sig-paren">)</span><a class="headerlink" href="#PyCTBN.PyCTBN.structure_graph.conditional_intensity_matrix.ConditionalIntensityMatrix" title="Permalink to this definition">¶</a></dt> |
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|
<dd><p>Bases: <code class="xref py py-class docutils literal notranslate"><span class="pre">object</span></code></p> |
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|
<p>Abstracts the Conditional Intesity matrix of a node as aggregation of the state residence times vector |
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|
and state transition matrix and the actual CIM matrix.</p> |
||||||
|
<dl class="field-list simple"> |
||||||
|
<dt class="field-odd">Parameters</dt> |
||||||
|
<dd class="field-odd"><ul class="simple"> |
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|
<li><p><strong>state_residence_times</strong> (<em>numpy.array</em>) – state residence times vector</p></li> |
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|
<li><p><strong>state_transition_matrix</strong> (<em>numpy.ndArray</em>) – the transitions count matrix</p></li> |
||||||
|
</ul> |
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|
</dd> |
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<dt class="field-even">_cim</dt> |
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|
<dd class="field-even"><p>the actual cim of the node</p> |
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|
</dd> |
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|
</dl> |
||||||
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<dl class="py method"> |
||||||
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<dt id="PyCTBN.PyCTBN.structure_graph.conditional_intensity_matrix.ConditionalIntensityMatrix.cim"> |
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|
<em class="property">property </em><code class="sig-name descname">cim</code><a class="headerlink" href="#PyCTBN.PyCTBN.structure_graph.conditional_intensity_matrix.ConditionalIntensityMatrix.cim" title="Permalink to this definition">¶</a></dt> |
||||||
|
<dd></dd></dl> |
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|
||||||
|
<dl class="py method"> |
||||||
|
<dt id="PyCTBN.PyCTBN.structure_graph.conditional_intensity_matrix.ConditionalIntensityMatrix.compute_cim_coefficients"> |
||||||
|
<code class="sig-name descname">compute_cim_coefficients</code><span class="sig-paren">(</span><span class="sig-paren">)</span> → None<a class="headerlink" href="#PyCTBN.PyCTBN.structure_graph.conditional_intensity_matrix.ConditionalIntensityMatrix.compute_cim_coefficients" title="Permalink to this definition">¶</a></dt> |
||||||
|
<dd><p>Compute the coefficients of the matrix _cim by using the following equality q_xx’ = M[x, x’] / T[x]. |
||||||
|
The class member <code class="docutils literal notranslate"><span class="pre">_cim</span></code> will contain the computed cim</p> |
||||||
|
</dd></dl> |
||||||
|
|
||||||
|
<dl class="py method"> |
||||||
|
<dt id="PyCTBN.PyCTBN.structure_graph.conditional_intensity_matrix.ConditionalIntensityMatrix.state_residence_times"> |
||||||
|
<em class="property">property </em><code class="sig-name descname">state_residence_times</code><a class="headerlink" href="#PyCTBN.PyCTBN.structure_graph.conditional_intensity_matrix.ConditionalIntensityMatrix.state_residence_times" title="Permalink to this definition">¶</a></dt> |
||||||
|
<dd></dd></dl> |
||||||
|
|
||||||
|
<dl class="py method"> |
||||||
|
<dt id="PyCTBN.PyCTBN.structure_graph.conditional_intensity_matrix.ConditionalIntensityMatrix.state_transition_matrix"> |
||||||
|
<em class="property">property </em><code class="sig-name descname">state_transition_matrix</code><a class="headerlink" href="#PyCTBN.PyCTBN.structure_graph.conditional_intensity_matrix.ConditionalIntensityMatrix.state_transition_matrix" title="Permalink to this definition">¶</a></dt> |
||||||
|
<dd></dd></dl> |
||||||
|
|
||||||
|
</dd></dl> |
||||||
|
|
||||||
|
</div> |
||||||
|
<div class="section" id="module-PyCTBN.PyCTBN.structure_graph.network_graph"> |
||||||
|
<span id="pyctbn-pyctbn-structure-graph-network-graph-module"></span><h2>PyCTBN.PyCTBN.structure_graph.network_graph module<a class="headerlink" href="#module-PyCTBN.PyCTBN.structure_graph.network_graph" title="Permalink to this headline">¶</a></h2> |
||||||
|
<dl class="py class"> |
||||||
|
<dt id="PyCTBN.PyCTBN.structure_graph.network_graph.NetworkGraph"> |
||||||
|
<em class="property">class </em><code class="sig-prename descclassname">PyCTBN.PyCTBN.structure_graph.network_graph.</code><code class="sig-name descname">NetworkGraph</code><span class="sig-paren">(</span><em class="sig-param"><span class="n">graph_struct</span><span class="p">:</span> <span class="n"><a class="reference internal" href="#PyCTBN.PyCTBN.structure_graph.structure.Structure" title="PyCTBN.PyCTBN.structure_graph.structure.Structure">PyCTBN.PyCTBN.structure_graph.structure.Structure</a></span></em><span class="sig-paren">)</span><a class="headerlink" href="#PyCTBN.PyCTBN.structure_graph.network_graph.NetworkGraph" title="Permalink to this definition">¶</a></dt> |
||||||
|
<dd><p>Bases: <code class="xref py py-class docutils literal notranslate"><span class="pre">object</span></code></p> |
||||||
|
<p>Abstracts the infos contained in the Structure class in the form of a directed graph. |
||||||
|
Has the task of creating all the necessary filtering and indexing structures for parameters estimation</p> |
||||||
|
<dl class="field-list simple"> |
||||||
|
<dt class="field-odd">Parameters</dt> |
||||||
|
<dd class="field-odd"><p><strong>graph_struct</strong> (<a class="reference internal" href="#PyCTBN.PyCTBN.structure_graph.structure.Structure" title="PyCTBN.PyCTBN.structure_graph.structure.Structure"><em>Structure</em></a>) – the <code class="docutils literal notranslate"><span class="pre">Structure</span></code> object from which infos about the net will be extracted</p> |
||||||
|
</dd> |
||||||
|
<dt class="field-even">_graph</dt> |
||||||
|
<dd class="field-even"><p>directed graph</p> |
||||||
|
</dd> |
||||||
|
<dt class="field-odd">_aggregated_info_about_nodes_parents</dt> |
||||||
|
<dd class="field-odd"><p>a structure that contains all the necessary infos |
||||||
|
about every parents of the node of which all the indexing and filtering structures will be constructed.</p> |
||||||
|
</dd> |
||||||
|
<dt class="field-even">_time_scalar_indexing_structure</dt> |
||||||
|
<dd class="field-even"><p>the indexing structure for state res time estimation</p> |
||||||
|
</dd> |
||||||
|
<dt class="field-odd">_transition_scalar_indexing_structure</dt> |
||||||
|
<dd class="field-odd"><p>the indexing structure for transition computation</p> |
||||||
|
</dd> |
||||||
|
<dt class="field-even">_time_filtering</dt> |
||||||
|
<dd class="field-even"><p>the columns filtering structure used in the computation of the state res times</p> |
||||||
|
</dd> |
||||||
|
<dt class="field-odd">_transition_filtering</dt> |
||||||
|
<dd class="field-odd"><p>the columns filtering structure used in the computation of the transition |
||||||
|
from one state to another</p> |
||||||
|
</dd> |
||||||
|
<dt class="field-even">_p_combs_structure</dt> |
||||||
|
<dd class="field-even"><p>all the possible parents states combination for the node of interest</p> |
||||||
|
</dd> |
||||||
|
</dl> |
||||||
|
<dl class="py method"> |
||||||
|
<dt id="PyCTBN.PyCTBN.structure_graph.network_graph.NetworkGraph.add_edges"> |
||||||
|
<code class="sig-name descname">add_edges</code><span class="sig-paren">(</span><em class="sig-param"><span class="n">list_of_edges</span><span class="p">:</span> <span class="n">List</span></em><span class="sig-paren">)</span> → None<a class="headerlink" href="#PyCTBN.PyCTBN.structure_graph.network_graph.NetworkGraph.add_edges" title="Permalink to this definition">¶</a></dt> |
||||||
|
<dd><p>Add the edges to the <code class="docutils literal notranslate"><span class="pre">_graph</span></code> contained in the list <code class="docutils literal notranslate"><span class="pre">list_of_edges</span></code>.</p> |
||||||
|
<dl class="field-list simple"> |
||||||
|
<dt class="field-odd">Parameters</dt> |
||||||
|
<dd class="field-odd"><p><strong>list_of_edges</strong> (<em>List</em>) – the list containing of tuples containing the edges</p> |
||||||
|
</dd> |
||||||
|
</dl> |
||||||
|
</dd></dl> |
||||||
|
|
||||||
|
<dl class="py method"> |
||||||
|
<dt id="PyCTBN.PyCTBN.structure_graph.network_graph.NetworkGraph.add_nodes"> |
||||||
|
<code class="sig-name descname">add_nodes</code><span class="sig-paren">(</span><em class="sig-param"><span class="n">list_of_nodes</span><span class="p">:</span> <span class="n">List</span></em><span class="sig-paren">)</span> → None<a class="headerlink" href="#PyCTBN.PyCTBN.structure_graph.network_graph.NetworkGraph.add_nodes" title="Permalink to this definition">¶</a></dt> |
||||||
|
<dd><p>Adds the nodes to the <code class="docutils literal notranslate"><span class="pre">_graph</span></code> contained in the list of nodes <code class="docutils literal notranslate"><span class="pre">list_of_nodes</span></code>. |
||||||
|
Sets all the properties that identify a nodes (index, positional index, cardinality)</p> |
||||||
|
<dl class="field-list simple"> |
||||||
|
<dt class="field-odd">Parameters</dt> |
||||||
|
<dd class="field-odd"><p><strong>list_of_nodes</strong> (<em>List</em>) – the nodes to add to <code class="docutils literal notranslate"><span class="pre">_graph</span></code></p> |
||||||
|
</dd> |
||||||
|
</dl> |
||||||
|
</dd></dl> |
||||||
|
|
||||||
|
<dl class="py method"> |
||||||
|
<dt id="PyCTBN.PyCTBN.structure_graph.network_graph.NetworkGraph.build_p_comb_structure_for_a_node"> |
||||||
|
<em class="property">static </em><code class="sig-name descname">build_p_comb_structure_for_a_node</code><span class="sig-paren">(</span><em class="sig-param"><span class="n">parents_values</span><span class="p">:</span> <span class="n">List</span></em><span class="sig-paren">)</span> → numpy.ndarray<a class="headerlink" href="#PyCTBN.PyCTBN.structure_graph.network_graph.NetworkGraph.build_p_comb_structure_for_a_node" title="Permalink to this definition">¶</a></dt> |
||||||
|
<dd><p>Builds the combinatorial structure that contains the combinations of all the values contained in |
||||||
|
<code class="docutils literal notranslate"><span class="pre">parents_values</span></code>.</p> |
||||||
|
<dl class="field-list simple"> |
||||||
|
<dt class="field-odd">Parameters</dt> |
||||||
|
<dd class="field-odd"><p><strong>parents_values</strong> (<em>List</em>) – the cardinalities of the nodes</p> |
||||||
|
</dd> |
||||||
|
<dt class="field-even">Returns</dt> |
||||||
|
<dd class="field-even"><p>A numpy matrix containing a grid of the combinations</p> |
||||||
|
</dd> |
||||||
|
<dt class="field-odd">Return type</dt> |
||||||
|
<dd class="field-odd"><p>numpy.ndArray</p> |
||||||
|
</dd> |
||||||
|
</dl> |
||||||
|
</dd></dl> |
||||||
|
|
||||||
|
<dl class="py method"> |
||||||
|
<dt id="PyCTBN.PyCTBN.structure_graph.network_graph.NetworkGraph.build_time_columns_filtering_for_a_node"> |
||||||
|
<em class="property">static </em><code class="sig-name descname">build_time_columns_filtering_for_a_node</code><span class="sig-paren">(</span><em class="sig-param"><span class="n">node_indx</span><span class="p">:</span> <span class="n">int</span></em>, <em class="sig-param"><span class="n">p_indxs</span><span class="p">:</span> <span class="n">List</span></em><span class="sig-paren">)</span> → numpy.ndarray<a class="headerlink" href="#PyCTBN.PyCTBN.structure_graph.network_graph.NetworkGraph.build_time_columns_filtering_for_a_node" title="Permalink to this definition">¶</a></dt> |
||||||
|
<dd><p>Builds the necessary structure to filter the desired columns indicated by <code class="docutils literal notranslate"><span class="pre">node_indx</span></code> and <code class="docutils literal notranslate"><span class="pre">p_indxs</span></code> |
||||||
|
in the dataset. |
||||||
|
This structute will be used in the computation of the state res times. |
||||||
|
:param node_indx: the index of the node |
||||||
|
:type node_indx: int |
||||||
|
:param p_indxs: the indexes of the node’s parents |
||||||
|
:type p_indxs: List |
||||||
|
:return: The filtering structure for times estimation |
||||||
|
:rtype: numpy.ndArray</p> |
||||||
|
</dd></dl> |
||||||
|
|
||||||
|
<dl class="py method"> |
||||||
|
<dt id="PyCTBN.PyCTBN.structure_graph.network_graph.NetworkGraph.build_time_scalar_indexing_structure_for_a_node"> |
||||||
|
<em class="property">static </em><code class="sig-name descname">build_time_scalar_indexing_structure_for_a_node</code><span class="sig-paren">(</span><em class="sig-param"><span class="n">node_states</span><span class="p">:</span> <span class="n">int</span></em>, <em class="sig-param"><span class="n">parents_vals</span><span class="p">:</span> <span class="n">List</span></em><span class="sig-paren">)</span> → numpy.ndarray<a class="headerlink" href="#PyCTBN.PyCTBN.structure_graph.network_graph.NetworkGraph.build_time_scalar_indexing_structure_for_a_node" title="Permalink to this definition">¶</a></dt> |
||||||
|
<dd><p>Builds an indexing structure for the computation of state residence times values.</p> |
||||||
|
<dl class="field-list simple"> |
||||||
|
<dt class="field-odd">Parameters</dt> |
||||||
|
<dd class="field-odd"><ul class="simple"> |
||||||
|
<li><p><strong>node_states</strong> (<em>int</em>) – the node cardinality</p></li> |
||||||
|
<li><p><strong>parents_vals</strong> (<em>List</em>) – the caridinalites of the node’s parents</p></li> |
||||||
|
</ul> |
||||||
|
</dd> |
||||||
|
<dt class="field-even">Returns</dt> |
||||||
|
<dd class="field-even"><p>The time indexing structure</p> |
||||||
|
</dd> |
||||||
|
<dt class="field-odd">Return type</dt> |
||||||
|
<dd class="field-odd"><p>numpy.ndArray</p> |
||||||
|
</dd> |
||||||
|
</dl> |
||||||
|
</dd></dl> |
||||||
|
|
||||||
|
<dl class="py method"> |
||||||
|
<dt id="PyCTBN.PyCTBN.structure_graph.network_graph.NetworkGraph.build_transition_filtering_for_a_node"> |
||||||
|
<em class="property">static </em><code class="sig-name descname">build_transition_filtering_for_a_node</code><span class="sig-paren">(</span><em class="sig-param"><span class="n">node_indx</span><span class="p">:</span> <span class="n">int</span></em>, <em class="sig-param"><span class="n">p_indxs</span><span class="p">:</span> <span class="n">List</span></em>, <em class="sig-param"><span class="n">nodes_number</span><span class="p">:</span> <span class="n">int</span></em><span class="sig-paren">)</span> → numpy.ndarray<a class="headerlink" href="#PyCTBN.PyCTBN.structure_graph.network_graph.NetworkGraph.build_transition_filtering_for_a_node" title="Permalink to this definition">¶</a></dt> |
||||||
|
<dd><p>Builds the necessary structure to filter the desired columns indicated by <code class="docutils literal notranslate"><span class="pre">node_indx</span></code> and <code class="docutils literal notranslate"><span class="pre">p_indxs</span></code> |
||||||
|
in the dataset. |
||||||
|
This structure will be used in the computation of the state transitions values. |
||||||
|
:param node_indx: the index of the node |
||||||
|
:type node_indx: int |
||||||
|
:param p_indxs: the indexes of the node’s parents |
||||||
|
:type p_indxs: List |
||||||
|
:param nodes_number: the total number of nodes in the dataset |
||||||
|
:type nodes_number: int |
||||||
|
:return: The filtering structure for transitions estimation |
||||||
|
:rtype: numpy.ndArray</p> |
||||||
|
</dd></dl> |
||||||
|
|
||||||
|
<dl class="py method"> |
||||||
|
<dt id="PyCTBN.PyCTBN.structure_graph.network_graph.NetworkGraph.build_transition_scalar_indexing_structure_for_a_node"> |
||||||
|
<em class="property">static </em><code class="sig-name descname">build_transition_scalar_indexing_structure_for_a_node</code><span class="sig-paren">(</span><em class="sig-param"><span class="n">node_states_number</span><span class="p">:</span> <span class="n">int</span></em>, <em class="sig-param"><span class="n">parents_vals</span><span class="p">:</span> <span class="n">List</span></em><span class="sig-paren">)</span> → numpy.ndarray<a class="headerlink" href="#PyCTBN.PyCTBN.structure_graph.network_graph.NetworkGraph.build_transition_scalar_indexing_structure_for_a_node" title="Permalink to this definition">¶</a></dt> |
||||||
|
<dd><p>Builds an indexing structure for the computation of state transitions values.</p> |
||||||
|
<dl class="field-list simple"> |
||||||
|
<dt class="field-odd">Parameters</dt> |
||||||
|
<dd class="field-odd"><ul class="simple"> |
||||||
|
<li><p><strong>node_states_number</strong> (<em>int</em>) – the node cardinality</p></li> |
||||||
|
<li><p><strong>parents_vals</strong> (<em>List</em>) – the caridinalites of the node’s parents</p></li> |
||||||
|
</ul> |
||||||
|
</dd> |
||||||
|
<dt class="field-even">Returns</dt> |
||||||
|
<dd class="field-even"><p>The transition indexing structure</p> |
||||||
|
</dd> |
||||||
|
<dt class="field-odd">Return type</dt> |
||||||
|
<dd class="field-odd"><p>numpy.ndArray</p> |
||||||
|
</dd> |
||||||
|
</dl> |
||||||
|
</dd></dl> |
||||||
|
|
||||||
|
<dl class="py method"> |
||||||
|
<dt id="PyCTBN.PyCTBN.structure_graph.network_graph.NetworkGraph.clear_indexing_filtering_structures"> |
||||||
|
<code class="sig-name descname">clear_indexing_filtering_structures</code><span class="sig-paren">(</span><span class="sig-paren">)</span> → None<a class="headerlink" href="#PyCTBN.PyCTBN.structure_graph.network_graph.NetworkGraph.clear_indexing_filtering_structures" title="Permalink to this definition">¶</a></dt> |
||||||
|
<dd><p>Initialize all the filtering/indexing structures.</p> |
||||||
|
</dd></dl> |
||||||
|
|
||||||
|
<dl class="py method"> |
||||||
|
<dt id="PyCTBN.PyCTBN.structure_graph.network_graph.NetworkGraph.edges"> |
||||||
|
<em class="property">property </em><code class="sig-name descname">edges</code><a class="headerlink" href="#PyCTBN.PyCTBN.structure_graph.network_graph.NetworkGraph.edges" title="Permalink to this definition">¶</a></dt> |
||||||
|
<dd></dd></dl> |
||||||
|
|
||||||
|
<dl class="py method"> |
||||||
|
<dt id="PyCTBN.PyCTBN.structure_graph.network_graph.NetworkGraph.fast_init"> |
||||||
|
<code class="sig-name descname">fast_init</code><span class="sig-paren">(</span><em class="sig-param"><span class="n">node_id</span><span class="p">:</span> <span class="n">str</span></em><span class="sig-paren">)</span> → None<a class="headerlink" href="#PyCTBN.PyCTBN.structure_graph.network_graph.NetworkGraph.fast_init" title="Permalink to this definition">¶</a></dt> |
||||||
|
<dd><p>Initializes all the necessary structures for parameters estimation of the node identified by the label |
||||||
|
node_id</p> |
||||||
|
<dl class="field-list simple"> |
||||||
|
<dt class="field-odd">Parameters</dt> |
||||||
|
<dd class="field-odd"><p><strong>node_id</strong> (<em>string</em>) – the label of the node</p> |
||||||
|
</dd> |
||||||
|
</dl> |
||||||
|
</dd></dl> |
||||||
|
|
||||||
|
<dl class="py method"> |
||||||
|
<dt id="PyCTBN.PyCTBN.structure_graph.network_graph.NetworkGraph.get_node_indx"> |
||||||
|
<code class="sig-name descname">get_node_indx</code><span class="sig-paren">(</span><em class="sig-param"><span class="n">node_id</span></em><span class="sig-paren">)</span> → int<a class="headerlink" href="#PyCTBN.PyCTBN.structure_graph.network_graph.NetworkGraph.get_node_indx" title="Permalink to this definition">¶</a></dt> |
||||||
|
<dd></dd></dl> |
||||||
|
|
||||||
|
<dl class="py method"> |
||||||
|
<dt id="PyCTBN.PyCTBN.structure_graph.network_graph.NetworkGraph.get_ordered_by_indx_set_of_parents"> |
||||||
|
<code class="sig-name descname">get_ordered_by_indx_set_of_parents</code><span class="sig-paren">(</span><em class="sig-param"><span class="n">node</span><span class="p">:</span> <span class="n">str</span></em><span class="sig-paren">)</span> → Tuple<a class="headerlink" href="#PyCTBN.PyCTBN.structure_graph.network_graph.NetworkGraph.get_ordered_by_indx_set_of_parents" title="Permalink to this definition">¶</a></dt> |
||||||
|
<dd><p>Builds the aggregated structure that holds all the infos relative to the parent set of the node, namely |
||||||
|
(parents_labels, parents_indexes, parents_cardinalities).</p> |
||||||
|
<dl class="field-list simple"> |
||||||
|
<dt class="field-odd">Parameters</dt> |
||||||
|
<dd class="field-odd"><p><strong>node</strong> (<em>string</em>) – the label of the node</p> |
||||||
|
</dd> |
||||||
|
<dt class="field-even">Returns</dt> |
||||||
|
<dd class="field-even"><p>a tuple containing all the parent set infos</p> |
||||||
|
</dd> |
||||||
|
<dt class="field-odd">Return type</dt> |
||||||
|
<dd class="field-odd"><p>Tuple</p> |
||||||
|
</dd> |
||||||
|
</dl> |
||||||
|
</dd></dl> |
||||||
|
|
||||||
|
<dl class="py method"> |
||||||
|
<dt id="PyCTBN.PyCTBN.structure_graph.network_graph.NetworkGraph.get_parents_by_id"> |
||||||
|
<code class="sig-name descname">get_parents_by_id</code><span class="sig-paren">(</span><em class="sig-param"><span class="n">node_id</span></em><span class="sig-paren">)</span> → List<a class="headerlink" href="#PyCTBN.PyCTBN.structure_graph.network_graph.NetworkGraph.get_parents_by_id" title="Permalink to this definition">¶</a></dt> |
||||||
|
<dd><p>Returns a list of labels of the parents of the node <code class="docutils literal notranslate"><span class="pre">node_id</span></code></p> |
||||||
|
<dl class="field-list simple"> |
||||||
|
<dt class="field-odd">Parameters</dt> |
||||||
|
<dd class="field-odd"><p><strong>node_id</strong> (<em>string</em>) – the node label</p> |
||||||
|
</dd> |
||||||
|
<dt class="field-even">Returns</dt> |
||||||
|
<dd class="field-even"><p>a List of labels of the parents</p> |
||||||
|
</dd> |
||||||
|
<dt class="field-odd">Return type</dt> |
||||||
|
<dd class="field-odd"><p>List</p> |
||||||
|
</dd> |
||||||
|
</dl> |
||||||
|
</dd></dl> |
||||||
|
|
||||||
|
<dl class="py method"> |
||||||
|
<dt id="PyCTBN.PyCTBN.structure_graph.network_graph.NetworkGraph.get_positional_node_indx"> |
||||||
|
<code class="sig-name descname">get_positional_node_indx</code><span class="sig-paren">(</span><em class="sig-param"><span class="n">node_id</span></em><span class="sig-paren">)</span> → int<a class="headerlink" href="#PyCTBN.PyCTBN.structure_graph.network_graph.NetworkGraph.get_positional_node_indx" title="Permalink to this definition">¶</a></dt> |
||||||
|
<dd></dd></dl> |
||||||
|
|
||||||
|
<dl class="py method"> |
||||||
|
<dt id="PyCTBN.PyCTBN.structure_graph.network_graph.NetworkGraph.get_states_number"> |
||||||
|
<code class="sig-name descname">get_states_number</code><span class="sig-paren">(</span><em class="sig-param"><span class="n">node_id</span></em><span class="sig-paren">)</span> → int<a class="headerlink" href="#PyCTBN.PyCTBN.structure_graph.network_graph.NetworkGraph.get_states_number" title="Permalink to this definition">¶</a></dt> |
||||||
|
<dd></dd></dl> |
||||||
|
|
||||||
|
<dl class="py method"> |
||||||
|
<dt id="PyCTBN.PyCTBN.structure_graph.network_graph.NetworkGraph.has_edge"> |
||||||
|
<code class="sig-name descname">has_edge</code><span class="sig-paren">(</span><em class="sig-param"><span class="n">edge</span><span class="p">:</span> <span class="n">tuple</span></em><span class="sig-paren">)</span> → bool<a class="headerlink" href="#PyCTBN.PyCTBN.structure_graph.network_graph.NetworkGraph.has_edge" title="Permalink to this definition">¶</a></dt> |
||||||
|
<dd><p>Check if the graph contains a specific edge</p> |
||||||
|
<dl class="simple"> |
||||||
|
<dt>Parameters:</dt><dd><p>edge: a tuple that rappresents the edge</p> |
||||||
|
</dd> |
||||||
|
<dt>Returns:</dt><dd><p>bool</p> |
||||||
|
</dd> |
||||||
|
</dl> |
||||||
|
</dd></dl> |
||||||
|
|
||||||
|
<dl class="py method"> |
||||||
|
<dt id="PyCTBN.PyCTBN.structure_graph.network_graph.NetworkGraph.nodes"> |
||||||
|
<em class="property">property </em><code class="sig-name descname">nodes</code><a class="headerlink" href="#PyCTBN.PyCTBN.structure_graph.network_graph.NetworkGraph.nodes" title="Permalink to this definition">¶</a></dt> |
||||||
|
<dd></dd></dl> |
||||||
|
|
||||||
|
<dl class="py method"> |
||||||
|
<dt id="PyCTBN.PyCTBN.structure_graph.network_graph.NetworkGraph.nodes_indexes"> |
||||||
|
<em class="property">property </em><code class="sig-name descname">nodes_indexes</code><a class="headerlink" href="#PyCTBN.PyCTBN.structure_graph.network_graph.NetworkGraph.nodes_indexes" title="Permalink to this definition">¶</a></dt> |
||||||
|
<dd></dd></dl> |
||||||
|
|
||||||
|
<dl class="py method"> |
||||||
|
<dt id="PyCTBN.PyCTBN.structure_graph.network_graph.NetworkGraph.nodes_values"> |
||||||
|
<em class="property">property </em><code class="sig-name descname">nodes_values</code><a class="headerlink" href="#PyCTBN.PyCTBN.structure_graph.network_graph.NetworkGraph.nodes_values" title="Permalink to this definition">¶</a></dt> |
||||||
|
<dd></dd></dl> |
||||||
|
|
||||||
|
<dl class="py method"> |
||||||
|
<dt id="PyCTBN.PyCTBN.structure_graph.network_graph.NetworkGraph.p_combs"> |
||||||
|
<em class="property">property </em><code class="sig-name descname">p_combs</code><a class="headerlink" href="#PyCTBN.PyCTBN.structure_graph.network_graph.NetworkGraph.p_combs" title="Permalink to this definition">¶</a></dt> |
||||||
|
<dd></dd></dl> |
||||||
|
|
||||||
|
<dl class="py method"> |
||||||
|
<dt id="PyCTBN.PyCTBN.structure_graph.network_graph.NetworkGraph.remove_edges"> |
||||||
|
<code class="sig-name descname">remove_edges</code><span class="sig-paren">(</span><em class="sig-param"><span class="n">list_of_edges</span><span class="p">:</span> <span class="n">List</span></em><span class="sig-paren">)</span> → None<a class="headerlink" href="#PyCTBN.PyCTBN.structure_graph.network_graph.NetworkGraph.remove_edges" title="Permalink to this definition">¶</a></dt> |
||||||
|
<dd><p>Remove the edges to the graph contained in the list list_of_edges.</p> |
||||||
|
<dl class="field-list simple"> |
||||||
|
<dt class="field-odd">Parameters</dt> |
||||||
|
<dd class="field-odd"><p><strong>list_of_edges</strong> (<em>List</em>) – The edges to remove from the graph</p> |
||||||
|
</dd> |
||||||
|
</dl> |
||||||
|
</dd></dl> |
||||||
|
|
||||||
|
<dl class="py method"> |
||||||
|
<dt id="PyCTBN.PyCTBN.structure_graph.network_graph.NetworkGraph.remove_node"> |
||||||
|
<code class="sig-name descname">remove_node</code><span class="sig-paren">(</span><em class="sig-param"><span class="n">node_id</span><span class="p">:</span> <span class="n">str</span></em><span class="sig-paren">)</span> → None<a class="headerlink" href="#PyCTBN.PyCTBN.structure_graph.network_graph.NetworkGraph.remove_node" title="Permalink to this definition">¶</a></dt> |
||||||
|
<dd><p>Remove the node <code class="docutils literal notranslate"><span class="pre">node_id</span></code> from all the class members. |
||||||
|
Initialize all the filtering/indexing structures.</p> |
||||||
|
</dd></dl> |
||||||
|
|
||||||
|
<dl class="py method"> |
||||||
|
<dt id="PyCTBN.PyCTBN.structure_graph.network_graph.NetworkGraph.time_filtering"> |
||||||
|
<em class="property">property </em><code class="sig-name descname">time_filtering</code><a class="headerlink" href="#PyCTBN.PyCTBN.structure_graph.network_graph.NetworkGraph.time_filtering" title="Permalink to this definition">¶</a></dt> |
||||||
|
<dd></dd></dl> |
||||||
|
|
||||||
|
<dl class="py method"> |
||||||
|
<dt id="PyCTBN.PyCTBN.structure_graph.network_graph.NetworkGraph.time_scalar_indexing_strucure"> |
||||||
|
<em class="property">property </em><code class="sig-name descname">time_scalar_indexing_strucure</code><a class="headerlink" href="#PyCTBN.PyCTBN.structure_graph.network_graph.NetworkGraph.time_scalar_indexing_strucure" title="Permalink to this definition">¶</a></dt> |
||||||
|
<dd></dd></dl> |
||||||
|
|
||||||
|
<dl class="py method"> |
||||||
|
<dt id="PyCTBN.PyCTBN.structure_graph.network_graph.NetworkGraph.transition_filtering"> |
||||||
|
<em class="property">property </em><code class="sig-name descname">transition_filtering</code><a class="headerlink" href="#PyCTBN.PyCTBN.structure_graph.network_graph.NetworkGraph.transition_filtering" title="Permalink to this definition">¶</a></dt> |
||||||
|
<dd></dd></dl> |
||||||
|
|
||||||
|
<dl class="py method"> |
||||||
|
<dt id="PyCTBN.PyCTBN.structure_graph.network_graph.NetworkGraph.transition_scalar_indexing_structure"> |
||||||
|
<em class="property">property </em><code class="sig-name descname">transition_scalar_indexing_structure</code><a class="headerlink" href="#PyCTBN.PyCTBN.structure_graph.network_graph.NetworkGraph.transition_scalar_indexing_structure" title="Permalink to this definition">¶</a></dt> |
||||||
|
<dd></dd></dl> |
||||||
|
|
||||||
|
</dd></dl> |
||||||
|
|
||||||
|
</div> |
||||||
|
<div class="section" id="module-PyCTBN.PyCTBN.structure_graph.sample_path"> |
||||||
|
<span id="pyctbn-pyctbn-structure-graph-sample-path-module"></span><h2>PyCTBN.PyCTBN.structure_graph.sample_path module<a class="headerlink" href="#module-PyCTBN.PyCTBN.structure_graph.sample_path" title="Permalink to this headline">¶</a></h2> |
||||||
|
<dl class="py class"> |
||||||
|
<dt id="PyCTBN.PyCTBN.structure_graph.sample_path.SamplePath"> |
||||||
|
<em class="property">class </em><code class="sig-prename descclassname">PyCTBN.PyCTBN.structure_graph.sample_path.</code><code class="sig-name descname">SamplePath</code><span class="sig-paren">(</span><em class="sig-param"><span class="n">importer</span><span class="p">:</span> <span class="n"><a class="reference internal" href="PyCTBN.PyCTBN.utility.html#PyCTBN.PyCTBN.utility.abstract_importer.AbstractImporter" title="PyCTBN.PyCTBN.utility.abstract_importer.AbstractImporter">PyCTBN.PyCTBN.utility.abstract_importer.AbstractImporter</a></span></em><span class="sig-paren">)</span><a class="headerlink" href="#PyCTBN.PyCTBN.structure_graph.sample_path.SamplePath" title="Permalink to this definition">¶</a></dt> |
||||||
|
<dd><p>Bases: <code class="xref py py-class docutils literal notranslate"><span class="pre">object</span></code></p> |
||||||
|
<p>Aggregates all the informations about the trajectories, the real structure of the sampled net and variables |
||||||
|
cardinalites. Has the task of creating the objects <code class="docutils literal notranslate"><span class="pre">Trajectory</span></code> and <code class="docutils literal notranslate"><span class="pre">Structure</span></code> that will |
||||||
|
contain the mentioned data.</p> |
||||||
|
<dl class="field-list simple"> |
||||||
|
<dt class="field-odd">Parameters</dt> |
||||||
|
<dd class="field-odd"><p><strong>importer</strong> (<a class="reference internal" href="PyCTBN.PyCTBN.utility.html#PyCTBN.PyCTBN.utility.abstract_importer.AbstractImporter" title="PyCTBN.PyCTBN.utility.abstract_importer.AbstractImporter"><em>AbstractImporter</em></a>) – the Importer object which contains the imported and processed data</p> |
||||||
|
</dd> |
||||||
|
<dt class="field-even">_trajectories</dt> |
||||||
|
<dd class="field-even"><p>the <code class="docutils literal notranslate"><span class="pre">Trajectory</span></code> object that will contain all the concatenated trajectories</p> |
||||||
|
</dd> |
||||||
|
<dt class="field-odd">_structure</dt> |
||||||
|
<dd class="field-odd"><p>the <code class="docutils literal notranslate"><span class="pre">Structure</span></code> Object that will contain all the structural infos about the net</p> |
||||||
|
</dd> |
||||||
|
<dt class="field-even">_total_variables_count</dt> |
||||||
|
<dd class="field-even"><p>the number of variables in the net</p> |
||||||
|
</dd> |
||||||
|
</dl> |
||||||
|
<dl class="py method"> |
||||||
|
<dt id="PyCTBN.PyCTBN.structure_graph.sample_path.SamplePath.build_structure"> |
||||||
|
<code class="sig-name descname">build_structure</code><span class="sig-paren">(</span><span class="sig-paren">)</span> → None<a class="headerlink" href="#PyCTBN.PyCTBN.structure_graph.sample_path.SamplePath.build_structure" title="Permalink to this definition">¶</a></dt> |
||||||
|
<dd><p>Builds the <code class="docutils literal notranslate"><span class="pre">Structure</span></code> object that aggregates all the infos about the net.</p> |
||||||
|
</dd></dl> |
||||||
|
|
||||||
|
<dl class="py method"> |
||||||
|
<dt id="PyCTBN.PyCTBN.structure_graph.sample_path.SamplePath.build_trajectories"> |
||||||
|
<code class="sig-name descname">build_trajectories</code><span class="sig-paren">(</span><span class="sig-paren">)</span> → None<a class="headerlink" href="#PyCTBN.PyCTBN.structure_graph.sample_path.SamplePath.build_trajectories" title="Permalink to this definition">¶</a></dt> |
||||||
|
<dd><p>Builds the Trajectory object that will contain all the trajectories. |
||||||
|
Clears all the unused dataframes in <code class="docutils literal notranslate"><span class="pre">_importer</span></code> Object</p> |
||||||
|
</dd></dl> |
||||||
|
|
||||||
|
<dl class="py method"> |
||||||
|
<dt id="PyCTBN.PyCTBN.structure_graph.sample_path.SamplePath.clear_memory"> |
||||||
|
<code class="sig-name descname">clear_memory</code><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="headerlink" href="#PyCTBN.PyCTBN.structure_graph.sample_path.SamplePath.clear_memory" title="Permalink to this definition">¶</a></dt> |
||||||
|
<dd></dd></dl> |
||||||
|
|
||||||
|
<dl class="py method"> |
||||||
|
<dt id="PyCTBN.PyCTBN.structure_graph.sample_path.SamplePath.has_prior_net_structure"> |
||||||
|
<em class="property">property </em><code class="sig-name descname">has_prior_net_structure</code><a class="headerlink" href="#PyCTBN.PyCTBN.structure_graph.sample_path.SamplePath.has_prior_net_structure" title="Permalink to this definition">¶</a></dt> |
||||||
|
<dd></dd></dl> |
||||||
|
|
||||||
|
<dl class="py method"> |
||||||
|
<dt id="PyCTBN.PyCTBN.structure_graph.sample_path.SamplePath.structure"> |
||||||
|
<em class="property">property </em><code class="sig-name descname">structure</code><a class="headerlink" href="#PyCTBN.PyCTBN.structure_graph.sample_path.SamplePath.structure" title="Permalink to this definition">¶</a></dt> |
||||||
|
<dd></dd></dl> |
||||||
|
|
||||||
|
<dl class="py method"> |
||||||
|
<dt id="PyCTBN.PyCTBN.structure_graph.sample_path.SamplePath.total_variables_count"> |
||||||
|
<em class="property">property </em><code class="sig-name descname">total_variables_count</code><a class="headerlink" href="#PyCTBN.PyCTBN.structure_graph.sample_path.SamplePath.total_variables_count" title="Permalink to this definition">¶</a></dt> |
||||||
|
<dd></dd></dl> |
||||||
|
|
||||||
|
<dl class="py method"> |
||||||
|
<dt id="PyCTBN.PyCTBN.structure_graph.sample_path.SamplePath.trajectories"> |
||||||
|
<em class="property">property </em><code class="sig-name descname">trajectories</code><a class="headerlink" href="#PyCTBN.PyCTBN.structure_graph.sample_path.SamplePath.trajectories" title="Permalink to this definition">¶</a></dt> |
||||||
|
<dd></dd></dl> |
||||||
|
|
||||||
|
</dd></dl> |
||||||
|
|
||||||
|
</div> |
||||||
|
<div class="section" id="module-PyCTBN.PyCTBN.structure_graph.set_of_cims"> |
||||||
|
<span id="pyctbn-pyctbn-structure-graph-set-of-cims-module"></span><h2>PyCTBN.PyCTBN.structure_graph.set_of_cims module<a class="headerlink" href="#module-PyCTBN.PyCTBN.structure_graph.set_of_cims" title="Permalink to this headline">¶</a></h2> |
||||||
|
<dl class="py class"> |
||||||
|
<dt id="PyCTBN.PyCTBN.structure_graph.set_of_cims.SetOfCims"> |
||||||
|
<em class="property">class </em><code class="sig-prename descclassname">PyCTBN.PyCTBN.structure_graph.set_of_cims.</code><code class="sig-name descname">SetOfCims</code><span class="sig-paren">(</span><em class="sig-param"><span class="n">node_id</span><span class="p">:</span> <span class="n">str</span></em>, <em class="sig-param"><span class="n">parents_states_number</span><span class="p">:</span> <span class="n">List</span></em>, <em class="sig-param"><span class="n">node_states_number</span><span class="p">:</span> <span class="n">int</span></em>, <em class="sig-param"><span class="n">p_combs</span><span class="p">:</span> <span class="n">numpy.ndarray</span></em><span class="sig-paren">)</span><a class="headerlink" href="#PyCTBN.PyCTBN.structure_graph.set_of_cims.SetOfCims" title="Permalink to this definition">¶</a></dt> |
||||||
|
<dd><p>Bases: <code class="xref py py-class docutils literal notranslate"><span class="pre">object</span></code></p> |
||||||
|
<p>Aggregates all the CIMS of the node identified by the label _node_id.</p> |
||||||
|
<dl class="field-list simple"> |
||||||
|
<dt class="field-odd">Parameters</dt> |
||||||
|
<dd class="field-odd"><ul class="simple"> |
||||||
|
<li><p><strong>node_id</strong> – the node label</p></li> |
||||||
|
<li><p><strong>parents_states_number</strong> (<em>List</em>) – the cardinalities of the parents</p></li> |
||||||
|
<li><p><strong>node_states_number</strong> (<em>int</em>) – the caridinality of the node</p></li> |
||||||
|
<li><p><strong>p_combs</strong> (<em>numpy.ndArray</em>) – the p_comb structure bound to this node</p></li> |
||||||
|
</ul> |
||||||
|
</dd> |
||||||
|
<dt class="field-even">_state_residence_time</dt> |
||||||
|
<dd class="field-even"><p>matrix containing all the state residence time vectors for the node</p> |
||||||
|
</dd> |
||||||
|
<dt class="field-odd">_transition_matrices</dt> |
||||||
|
<dd class="field-odd"><p>matrix containing all the transition matrices for the node</p> |
||||||
|
</dd> |
||||||
|
<dt class="field-even">_actual_cims</dt> |
||||||
|
<dd class="field-even"><p>the cims of the node</p> |
||||||
|
</dd> |
||||||
|
</dl> |
||||||
|
<dl class="py method"> |
||||||
|
<dt id="PyCTBN.PyCTBN.structure_graph.set_of_cims.SetOfCims.actual_cims"> |
||||||
|
<em class="property">property </em><code class="sig-name descname">actual_cims</code><a class="headerlink" href="#PyCTBN.PyCTBN.structure_graph.set_of_cims.SetOfCims.actual_cims" title="Permalink to this definition">¶</a></dt> |
||||||
|
<dd></dd></dl> |
||||||
|
|
||||||
|
<dl class="py method"> |
||||||
|
<dt id="PyCTBN.PyCTBN.structure_graph.set_of_cims.SetOfCims.build_cims"> |
||||||
|
<code class="sig-name descname">build_cims</code><span class="sig-paren">(</span><em class="sig-param"><span class="n">state_res_times</span><span class="p">:</span> <span class="n">numpy.ndarray</span></em>, <em class="sig-param"><span class="n">transition_matrices</span><span class="p">:</span> <span class="n">numpy.ndarray</span></em><span class="sig-paren">)</span> → None<a class="headerlink" href="#PyCTBN.PyCTBN.structure_graph.set_of_cims.SetOfCims.build_cims" title="Permalink to this definition">¶</a></dt> |
||||||
|
<dd><p>Build the <code class="docutils literal notranslate"><span class="pre">ConditionalIntensityMatrix</span></code> objects given the state residence times and transitions matrices. |
||||||
|
Compute the cim coefficients.The class member <code class="docutils literal notranslate"><span class="pre">_actual_cims</span></code> will contain the computed cims.</p> |
||||||
|
<dl class="field-list simple"> |
||||||
|
<dt class="field-odd">Parameters</dt> |
||||||
|
<dd class="field-odd"><ul class="simple"> |
||||||
|
<li><p><strong>state_res_times</strong> (<em>numpy.ndArray</em>) – the state residence times matrix</p></li> |
||||||
|
<li><p><strong>transition_matrices</strong> (<em>numpy.ndArray</em>) – the transition matrices</p></li> |
||||||
|
</ul> |
||||||
|
</dd> |
||||||
|
</dl> |
||||||
|
</dd></dl> |
||||||
|
|
||||||
|
<dl class="py method"> |
||||||
|
<dt id="PyCTBN.PyCTBN.structure_graph.set_of_cims.SetOfCims.build_times_and_transitions_structures"> |
||||||
|
<code class="sig-name descname">build_times_and_transitions_structures</code><span class="sig-paren">(</span><span class="sig-paren">)</span> → None<a class="headerlink" href="#PyCTBN.PyCTBN.structure_graph.set_of_cims.SetOfCims.build_times_and_transitions_structures" title="Permalink to this definition">¶</a></dt> |
||||||
|
<dd><p>Initializes at the correct dimensions the state residence times matrix and the state transition matrices.</p> |
||||||
|
</dd></dl> |
||||||
|
|
||||||
|
<dl class="py method"> |
||||||
|
<dt id="PyCTBN.PyCTBN.structure_graph.set_of_cims.SetOfCims.filter_cims_with_mask"> |
||||||
|
<code class="sig-name descname">filter_cims_with_mask</code><span class="sig-paren">(</span><em class="sig-param"><span class="n">mask_arr</span><span class="p">:</span> <span class="n">numpy.ndarray</span></em>, <em class="sig-param"><span class="n">comb</span><span class="p">:</span> <span class="n">List</span></em><span class="sig-paren">)</span> → numpy.ndarray<a class="headerlink" href="#PyCTBN.PyCTBN.structure_graph.set_of_cims.SetOfCims.filter_cims_with_mask" title="Permalink to this definition">¶</a></dt> |
||||||
|
<dd><p>Filter the cims contained in the array <code class="docutils literal notranslate"><span class="pre">_actual_cims</span></code> given the boolean mask <code class="docutils literal notranslate"><span class="pre">mask_arr</span></code> and the index |
||||||
|
<code class="docutils literal notranslate"><span class="pre">comb</span></code>.</p> |
||||||
|
<dl class="field-list simple"> |
||||||
|
<dt class="field-odd">Parameters</dt> |
||||||
|
<dd class="field-odd"><ul class="simple"> |
||||||
|
<li><p><strong>mask_arr</strong> (<em>numpy.array</em>) – the boolean mask that indicates which parent to consider</p></li> |
||||||
|
<li><p><strong>comb</strong> (<em>numpy.array</em>) – the state/s of the filtered parents</p></li> |
||||||
|
</ul> |
||||||
|
</dd> |
||||||
|
<dt class="field-even">Returns</dt> |
||||||
|
<dd class="field-even"><p>Array of <code class="docutils literal notranslate"><span class="pre">ConditionalIntensityMatrix</span></code> objects</p> |
||||||
|
</dd> |
||||||
|
<dt class="field-odd">Return type</dt> |
||||||
|
<dd class="field-odd"><p>numpy.array</p> |
||||||
|
</dd> |
||||||
|
</dl> |
||||||
|
</dd></dl> |
||||||
|
|
||||||
|
<dl class="py method"> |
||||||
|
<dt id="PyCTBN.PyCTBN.structure_graph.set_of_cims.SetOfCims.get_cims_number"> |
||||||
|
<code class="sig-name descname">get_cims_number</code><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="headerlink" href="#PyCTBN.PyCTBN.structure_graph.set_of_cims.SetOfCims.get_cims_number" title="Permalink to this definition">¶</a></dt> |
||||||
|
<dd></dd></dl> |
||||||
|
|
||||||
|
<dl class="py method"> |
||||||
|
<dt id="PyCTBN.PyCTBN.structure_graph.set_of_cims.SetOfCims.p_combs"> |
||||||
|
<em class="property">property </em><code class="sig-name descname">p_combs</code><a class="headerlink" href="#PyCTBN.PyCTBN.structure_graph.set_of_cims.SetOfCims.p_combs" title="Permalink to this definition">¶</a></dt> |
||||||
|
<dd></dd></dl> |
||||||
|
|
||||||
|
</dd></dl> |
||||||
|
|
||||||
|
</div> |
||||||
|
<div class="section" id="module-PyCTBN.PyCTBN.structure_graph.structure"> |
||||||
|
<span id="pyctbn-pyctbn-structure-graph-structure-module"></span><h2>PyCTBN.PyCTBN.structure_graph.structure module<a class="headerlink" href="#module-PyCTBN.PyCTBN.structure_graph.structure" title="Permalink to this headline">¶</a></h2> |
||||||
|
<dl class="py class"> |
||||||
|
<dt id="PyCTBN.PyCTBN.structure_graph.structure.Structure"> |
||||||
|
<em class="property">class </em><code class="sig-prename descclassname">PyCTBN.PyCTBN.structure_graph.structure.</code><code class="sig-name descname">Structure</code><span class="sig-paren">(</span><em class="sig-param"><span class="n">nodes_labels_list</span><span class="p">:</span> <span class="n">List</span></em>, <em class="sig-param"><span class="n">nodes_indexes_arr</span><span class="p">:</span> <span class="n">numpy.ndarray</span></em>, <em class="sig-param"><span class="n">nodes_vals_arr</span><span class="p">:</span> <span class="n">numpy.ndarray</span></em>, <em class="sig-param"><span class="n">edges_list</span><span class="p">:</span> <span class="n">List</span></em>, <em class="sig-param"><span class="n">total_variables_number</span><span class="p">:</span> <span class="n">int</span></em><span class="sig-paren">)</span><a class="headerlink" href="#PyCTBN.PyCTBN.structure_graph.structure.Structure" title="Permalink to this definition">¶</a></dt> |
||||||
|
<dd><p>Bases: <code class="xref py py-class docutils literal notranslate"><span class="pre">object</span></code></p> |
||||||
|
<p>Contains all the infos about the network structure(nodes labels, nodes caridinalites, edges, indexes)</p> |
||||||
|
<dl class="field-list simple"> |
||||||
|
<dt class="field-odd">Parameters</dt> |
||||||
|
<dd class="field-odd"><ul class="simple"> |
||||||
|
<li><p><strong>nodes_labels_list</strong> (<em>List</em>) – the symbolic names of the variables</p></li> |
||||||
|
<li><p><strong>nodes_indexes_arr</strong> (<em>numpy.ndArray</em>) – the indexes of the nodes</p></li> |
||||||
|
<li><p><strong>nodes_vals_arr</strong> (<em>numpy.ndArray</em>) – the cardinalites of the nodes</p></li> |
||||||
|
<li><p><strong>edges_list</strong> (<em>List</em>) – the edges of the network</p></li> |
||||||
|
<li><p><strong>total_variables_number</strong> (<em>int</em>) – the total number of variables in the dataset</p></li> |
||||||
|
</ul> |
||||||
|
</dd> |
||||||
|
</dl> |
||||||
|
<dl class="py method"> |
||||||
|
<dt id="PyCTBN.PyCTBN.structure_graph.structure.Structure.add_edge"> |
||||||
|
<code class="sig-name descname">add_edge</code><span class="sig-paren">(</span><em class="sig-param"><span class="n">edge</span><span class="p">:</span> <span class="n">tuple</span></em><span class="sig-paren">)</span><a class="headerlink" href="#PyCTBN.PyCTBN.structure_graph.structure.Structure.add_edge" title="Permalink to this definition">¶</a></dt> |
||||||
|
<dd></dd></dl> |
||||||
|
|
||||||
|
<dl class="py method"> |
||||||
|
<dt id="PyCTBN.PyCTBN.structure_graph.structure.Structure.clean_structure_edges"> |
||||||
|
<code class="sig-name descname">clean_structure_edges</code><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="headerlink" href="#PyCTBN.PyCTBN.structure_graph.structure.Structure.clean_structure_edges" title="Permalink to this definition">¶</a></dt> |
||||||
|
<dd></dd></dl> |
||||||
|
|
||||||
|
<dl class="py method"> |
||||||
|
<dt id="PyCTBN.PyCTBN.structure_graph.structure.Structure.contains_edge"> |
||||||
|
<code class="sig-name descname">contains_edge</code><span class="sig-paren">(</span><em class="sig-param"><span class="n">edge</span><span class="p">:</span> <span class="n">tuple</span></em><span class="sig-paren">)</span> → bool<a class="headerlink" href="#PyCTBN.PyCTBN.structure_graph.structure.Structure.contains_edge" title="Permalink to this definition">¶</a></dt> |
||||||
|
<dd></dd></dl> |
||||||
|
|
||||||
|
<dl class="py method"> |
||||||
|
<dt id="PyCTBN.PyCTBN.structure_graph.structure.Structure.edges"> |
||||||
|
<em class="property">property </em><code class="sig-name descname">edges</code><a class="headerlink" href="#PyCTBN.PyCTBN.structure_graph.structure.Structure.edges" title="Permalink to this definition">¶</a></dt> |
||||||
|
<dd></dd></dl> |
||||||
|
|
||||||
|
<dl class="py method"> |
||||||
|
<dt id="PyCTBN.PyCTBN.structure_graph.structure.Structure.get_node_id"> |
||||||
|
<code class="sig-name descname">get_node_id</code><span class="sig-paren">(</span><em class="sig-param"><span class="n">node_indx</span><span class="p">:</span> <span class="n">int</span></em><span class="sig-paren">)</span> → str<a class="headerlink" href="#PyCTBN.PyCTBN.structure_graph.structure.Structure.get_node_id" title="Permalink to this definition">¶</a></dt> |
||||||
|
<dd><p>Given the <code class="docutils literal notranslate"><span class="pre">node_index</span></code> returns the node label.</p> |
||||||
|
<dl class="field-list simple"> |
||||||
|
<dt class="field-odd">Parameters</dt> |
||||||
|
<dd class="field-odd"><p><strong>node_indx</strong> (<em>int</em>) – the node index</p> |
||||||
|
</dd> |
||||||
|
<dt class="field-even">Returns</dt> |
||||||
|
<dd class="field-even"><p>the node label</p> |
||||||
|
</dd> |
||||||
|
<dt class="field-odd">Return type</dt> |
||||||
|
<dd class="field-odd"><p>string</p> |
||||||
|
</dd> |
||||||
|
</dl> |
||||||
|
</dd></dl> |
||||||
|
|
||||||
|
<dl class="py method"> |
||||||
|
<dt id="PyCTBN.PyCTBN.structure_graph.structure.Structure.get_node_indx"> |
||||||
|
<code class="sig-name descname">get_node_indx</code><span class="sig-paren">(</span><em class="sig-param"><span class="n">node_id</span><span class="p">:</span> <span class="n">str</span></em><span class="sig-paren">)</span> → int<a class="headerlink" href="#PyCTBN.PyCTBN.structure_graph.structure.Structure.get_node_indx" title="Permalink to this definition">¶</a></dt> |
||||||
|
<dd><p>Given the <code class="docutils literal notranslate"><span class="pre">node_index</span></code> returns the node label.</p> |
||||||
|
<dl class="field-list simple"> |
||||||
|
<dt class="field-odd">Parameters</dt> |
||||||
|
<dd class="field-odd"><p><strong>node_id</strong> (<em>string</em>) – the node label</p> |
||||||
|
</dd> |
||||||
|
<dt class="field-even">Returns</dt> |
||||||
|
<dd class="field-even"><p>the node index</p> |
||||||
|
</dd> |
||||||
|
<dt class="field-odd">Return type</dt> |
||||||
|
<dd class="field-odd"><p>int</p> |
||||||
|
</dd> |
||||||
|
</dl> |
||||||
|
</dd></dl> |
||||||
|
|
||||||
|
<dl class="py method"> |
||||||
|
<dt id="PyCTBN.PyCTBN.structure_graph.structure.Structure.get_positional_node_indx"> |
||||||
|
<code class="sig-name descname">get_positional_node_indx</code><span class="sig-paren">(</span><em class="sig-param"><span class="n">node_id</span><span class="p">:</span> <span class="n">str</span></em><span class="sig-paren">)</span> → int<a class="headerlink" href="#PyCTBN.PyCTBN.structure_graph.structure.Structure.get_positional_node_indx" title="Permalink to this definition">¶</a></dt> |
||||||
|
<dd></dd></dl> |
||||||
|
|
||||||
|
<dl class="py method"> |
||||||
|
<dt id="PyCTBN.PyCTBN.structure_graph.structure.Structure.get_states_number"> |
||||||
|
<code class="sig-name descname">get_states_number</code><span class="sig-paren">(</span><em class="sig-param"><span class="n">node</span><span class="p">:</span> <span class="n">str</span></em><span class="sig-paren">)</span> → int<a class="headerlink" href="#PyCTBN.PyCTBN.structure_graph.structure.Structure.get_states_number" title="Permalink to this definition">¶</a></dt> |
||||||
|
<dd><p>Given the node label <code class="docutils literal notranslate"><span class="pre">node</span></code> returns the cardinality of the node.</p> |
||||||
|
<dl class="field-list simple"> |
||||||
|
<dt class="field-odd">Parameters</dt> |
||||||
|
<dd class="field-odd"><p><strong>node</strong> (<em>string</em>) – the node label</p> |
||||||
|
</dd> |
||||||
|
<dt class="field-even">Returns</dt> |
||||||
|
<dd class="field-even"><p>the node cardinality</p> |
||||||
|
</dd> |
||||||
|
<dt class="field-odd">Return type</dt> |
||||||
|
<dd class="field-odd"><p>int</p> |
||||||
|
</dd> |
||||||
|
</dl> |
||||||
|
</dd></dl> |
||||||
|
|
||||||
|
<dl class="py method"> |
||||||
|
<dt id="PyCTBN.PyCTBN.structure_graph.structure.Structure.nodes_indexes"> |
||||||
|
<em class="property">property </em><code class="sig-name descname">nodes_indexes</code><a class="headerlink" href="#PyCTBN.PyCTBN.structure_graph.structure.Structure.nodes_indexes" title="Permalink to this definition">¶</a></dt> |
||||||
|
<dd></dd></dl> |
||||||
|
|
||||||
|
<dl class="py method"> |
||||||
|
<dt id="PyCTBN.PyCTBN.structure_graph.structure.Structure.nodes_labels"> |
||||||
|
<em class="property">property </em><code class="sig-name descname">nodes_labels</code><a class="headerlink" href="#PyCTBN.PyCTBN.structure_graph.structure.Structure.nodes_labels" title="Permalink to this definition">¶</a></dt> |
||||||
|
<dd></dd></dl> |
||||||
|
|
||||||
|
<dl class="py method"> |
||||||
|
<dt id="PyCTBN.PyCTBN.structure_graph.structure.Structure.nodes_values"> |
||||||
|
<em class="property">property </em><code class="sig-name descname">nodes_values</code><a class="headerlink" href="#PyCTBN.PyCTBN.structure_graph.structure.Structure.nodes_values" title="Permalink to this definition">¶</a></dt> |
||||||
|
<dd></dd></dl> |
||||||
|
|
||||||
|
<dl class="py method"> |
||||||
|
<dt id="PyCTBN.PyCTBN.structure_graph.structure.Structure.remove_edge"> |
||||||
|
<code class="sig-name descname">remove_edge</code><span class="sig-paren">(</span><em class="sig-param"><span class="n">edge</span><span class="p">:</span> <span class="n">tuple</span></em><span class="sig-paren">)</span><a class="headerlink" href="#PyCTBN.PyCTBN.structure_graph.structure.Structure.remove_edge" title="Permalink to this definition">¶</a></dt> |
||||||
|
<dd></dd></dl> |
||||||
|
|
||||||
|
<dl class="py method"> |
||||||
|
<dt id="PyCTBN.PyCTBN.structure_graph.structure.Structure.remove_node"> |
||||||
|
<code class="sig-name descname">remove_node</code><span class="sig-paren">(</span><em class="sig-param"><span class="n">node_id</span><span class="p">:</span> <span class="n">str</span></em><span class="sig-paren">)</span> → None<a class="headerlink" href="#PyCTBN.PyCTBN.structure_graph.structure.Structure.remove_node" title="Permalink to this definition">¶</a></dt> |
||||||
|
<dd><p>Remove the node <code class="docutils literal notranslate"><span class="pre">node_id</span></code> from all the class members. |
||||||
|
The class member <code class="docutils literal notranslate"><span class="pre">_total_variables_number</span></code> since it refers to the total number of variables in the dataset.</p> |
||||||
|
</dd></dl> |
||||||
|
|
||||||
|
<dl class="py method"> |
||||||
|
<dt id="PyCTBN.PyCTBN.structure_graph.structure.Structure.total_variables_number"> |
||||||
|
<em class="property">property </em><code class="sig-name descname">total_variables_number</code><a class="headerlink" href="#PyCTBN.PyCTBN.structure_graph.structure.Structure.total_variables_number" title="Permalink to this definition">¶</a></dt> |
||||||
|
<dd></dd></dl> |
||||||
|
|
||||||
|
</dd></dl> |
||||||
|
|
||||||
|
</div> |
||||||
|
<div class="section" id="module-PyCTBN.PyCTBN.structure_graph.trajectory"> |
||||||
|
<span id="pyctbn-pyctbn-structure-graph-trajectory-module"></span><h2>PyCTBN.PyCTBN.structure_graph.trajectory module<a class="headerlink" href="#module-PyCTBN.PyCTBN.structure_graph.trajectory" title="Permalink to this headline">¶</a></h2> |
||||||
|
<dl class="py class"> |
||||||
|
<dt id="PyCTBN.PyCTBN.structure_graph.trajectory.Trajectory"> |
||||||
|
<em class="property">class </em><code class="sig-prename descclassname">PyCTBN.PyCTBN.structure_graph.trajectory.</code><code class="sig-name descname">Trajectory</code><span class="sig-paren">(</span><em class="sig-param"><span class="n">list_of_columns</span><span class="p">:</span> <span class="n">List</span></em>, <em class="sig-param"><span class="n">original_cols_number</span><span class="p">:</span> <span class="n">int</span></em><span class="sig-paren">)</span><a class="headerlink" href="#PyCTBN.PyCTBN.structure_graph.trajectory.Trajectory" title="Permalink to this definition">¶</a></dt> |
||||||
|
<dd><p>Bases: <code class="xref py py-class docutils literal notranslate"><span class="pre">object</span></code></p> |
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|
<p>Abstracts the infos about a complete set of trajectories, represented as a numpy array of doubles |
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|
(the time deltas) and a numpy matrix of ints (the changes of states).</p> |
||||||
|
<dl class="field-list simple"> |
||||||
|
<dt class="field-odd">Parameters</dt> |
||||||
|
<dd class="field-odd"><ul class="simple"> |
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|
<li><p><strong>list_of_columns</strong> (<em>List</em>) – the list containing the times array and values matrix</p></li> |
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|
<li><p><strong>original_cols_number</strong> (<em>int</em>) – total number of cols in the data</p></li> |
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|
</ul> |
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|
</dd> |
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<dt class="field-even">_actual_trajectory</dt> |
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|
<dd class="field-even"><p>the trajectory containing also the duplicated/shifted values</p> |
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|
</dd> |
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|
<dt class="field-odd">_times</dt> |
||||||
|
<dd class="field-odd"><p>the array containing the time deltas</p> |
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|
</dd> |
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|
</dl> |
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<dl class="py method"> |
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<dt id="PyCTBN.PyCTBN.structure_graph.trajectory.Trajectory.complete_trajectory"> |
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|
<em class="property">property </em><code class="sig-name descname">complete_trajectory</code><a class="headerlink" href="#PyCTBN.PyCTBN.structure_graph.trajectory.Trajectory.complete_trajectory" title="Permalink to this definition">¶</a></dt> |
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<dd></dd></dl> |
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|
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<dl class="py method"> |
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<dt id="PyCTBN.PyCTBN.structure_graph.trajectory.Trajectory.size"> |
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|
<code class="sig-name descname">size</code><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="headerlink" href="#PyCTBN.PyCTBN.structure_graph.trajectory.Trajectory.size" title="Permalink to this definition">¶</a></dt> |
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<dd></dd></dl> |
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<dl class="py method"> |
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<dt id="PyCTBN.PyCTBN.structure_graph.trajectory.Trajectory.times"> |
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|
<em class="property">property </em><code class="sig-name descname">times</code><a class="headerlink" href="#PyCTBN.PyCTBN.structure_graph.trajectory.Trajectory.times" title="Permalink to this definition">¶</a></dt> |
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<dd></dd></dl> |
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<dl class="py method"> |
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<dt id="PyCTBN.PyCTBN.structure_graph.trajectory.Trajectory.trajectory"> |
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|
<em class="property">property </em><code class="sig-name descname">trajectory</code><a class="headerlink" href="#PyCTBN.PyCTBN.structure_graph.trajectory.Trajectory.trajectory" title="Permalink to this definition">¶</a></dt> |
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<dd></dd></dl> |
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</dd></dl> |
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</div> |
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<div class="section" id="module-PyCTBN.PyCTBN.structure_graph"> |
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|
<span id="module-contents"></span><h2>Module contents<a class="headerlink" href="#module-PyCTBN.PyCTBN.structure_graph" title="Permalink to this headline">¶</a></h2> |
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<div class="section" id="pyctbn-pyctbn-utility-package"> |
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|
<h1>PyCTBN.PyCTBN.utility package<a class="headerlink" href="#pyctbn-pyctbn-utility-package" title="Permalink to this headline">¶</a></h1> |
||||||
|
<div class="section" id="submodules"> |
||||||
|
<h2>Submodules<a class="headerlink" href="#submodules" title="Permalink to this headline">¶</a></h2> |
||||||
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</div> |
||||||
|
<div class="section" id="module-PyCTBN.PyCTBN.utility.abstract_importer"> |
||||||
|
<span id="pyctbn-pyctbn-utility-abstract-importer-module"></span><h2>PyCTBN.PyCTBN.utility.abstract_importer module<a class="headerlink" href="#module-PyCTBN.PyCTBN.utility.abstract_importer" title="Permalink to this headline">¶</a></h2> |
||||||
|
<dl class="py class"> |
||||||
|
<dt id="PyCTBN.PyCTBN.utility.abstract_importer.AbstractImporter"> |
||||||
|
<em class="property">class </em><code class="sig-prename descclassname">PyCTBN.PyCTBN.utility.abstract_importer.</code><code class="sig-name descname">AbstractImporter</code><span class="sig-paren">(</span><em class="sig-param"><span class="n">file_path</span><span class="p">:</span> <span class="n">str</span> <span class="o">=</span> <span class="default_value">None</span></em>, <em class="sig-param"><span class="n">trajectory_list</span><span class="p">:</span> <span class="n">Union<span class="p">[</span>pandas.core.frame.DataFrame<span class="p">, </span>numpy.ndarray<span class="p">]</span></span> <span class="o">=</span> <span class="default_value">None</span></em>, <em class="sig-param"><span class="n">variables</span><span class="p">:</span> <span class="n">pandas.core.frame.DataFrame</span> <span class="o">=</span> <span class="default_value">None</span></em>, <em class="sig-param"><span class="n">prior_net_structure</span><span class="p">:</span> <span class="n">pandas.core.frame.DataFrame</span> <span class="o">=</span> <span class="default_value">None</span></em><span class="sig-paren">)</span><a class="headerlink" href="#PyCTBN.PyCTBN.utility.abstract_importer.AbstractImporter" title="Permalink to this definition">¶</a></dt> |
||||||
|
<dd><p>Bases: <code class="xref py py-class docutils literal notranslate"><span class="pre">abc.ABC</span></code></p> |
||||||
|
<p>Abstract class that exposes all the necessary methods to process the trajectories and the net structure.</p> |
||||||
|
<dl class="field-list simple"> |
||||||
|
<dt class="field-odd">Parameters</dt> |
||||||
|
<dd class="field-odd"><ul class="simple"> |
||||||
|
<li><p><strong>file_path</strong> (<em>str</em>) – the file path, or dataset name if you import already processed data</p></li> |
||||||
|
<li><p><strong>trajectory_list</strong> (<em>typing.Union</em><em>[</em><em>pandas.DataFrame</em><em>, </em><em>numpy.ndarray</em><em>]</em>) – Dataframe or numpy array containing the concatenation of all the processed trajectories</p></li> |
||||||
|
<li><p><strong>variables</strong> (<em>pandas.DataFrame</em>) – Dataframe containing the nodes labels and cardinalities</p></li> |
||||||
|
</ul> |
||||||
|
</dd> |
||||||
|
<dt class="field-even">Prior_net_structure</dt> |
||||||
|
<dd class="field-even"><p>Dataframe containing the structure of the network (edges)</p> |
||||||
|
</dd> |
||||||
|
<dt class="field-odd">_sorter</dt> |
||||||
|
<dd class="field-odd"><p>A list containing the variables labels in the SAME order as the columns in <code class="docutils literal notranslate"><span class="pre">concatenated_samples</span></code></p> |
||||||
|
</dd> |
||||||
|
</dl> |
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|
<div class="admonition warning"> |
||||||
|
<p class="admonition-title">Warning</p> |
||||||
|
<p>The parameters <code class="docutils literal notranslate"><span class="pre">variables</span></code> and <code class="docutils literal notranslate"><span class="pre">prior_net_structure</span></code> HAVE to be properly constructed |
||||||
|
as Pandas Dataframes with the following structure: |
||||||
|
Header of _df_structure = [From_Node | To_Node] |
||||||
|
Header of _df_variables = [Variable_Label | Variable_Cardinality] |
||||||
|
See the tutorial on how to construct a correct <code class="docutils literal notranslate"><span class="pre">concatenated_samples</span></code> Dataframe/ndarray.</p> |
||||||
|
</div> |
||||||
|
<div class="admonition note"> |
||||||
|
<p class="admonition-title">Note</p> |
||||||
|
<p>See :class:<code class="docutils literal notranslate"><span class="pre">JsonImporter</span></code> for an example implementation</p> |
||||||
|
</div> |
||||||
|
<dl class="py method"> |
||||||
|
<dt id="PyCTBN.PyCTBN.utility.abstract_importer.AbstractImporter.build_list_of_samples_array"> |
||||||
|
<code class="sig-name descname">build_list_of_samples_array</code><span class="sig-paren">(</span><em class="sig-param"><span class="n">concatenated_sample</span><span class="p">:</span> <span class="n">pandas.core.frame.DataFrame</span></em><span class="sig-paren">)</span> → List<a class="headerlink" href="#PyCTBN.PyCTBN.utility.abstract_importer.AbstractImporter.build_list_of_samples_array" title="Permalink to this definition">¶</a></dt> |
||||||
|
<dd><p>Builds a List containing the the delta times numpy array, and the complete transitions matrix</p> |
||||||
|
<dl class="field-list simple"> |
||||||
|
<dt class="field-odd">Parameters</dt> |
||||||
|
<dd class="field-odd"><p><strong>concatenated_sample</strong> (<em>pandas.Dataframe</em>) – the dataframe/array from which the time, and transitions matrix have to be extracted |
||||||
|
and converted</p> |
||||||
|
</dd> |
||||||
|
<dt class="field-even">Returns</dt> |
||||||
|
<dd class="field-even"><p>the resulting list of numpy arrays</p> |
||||||
|
</dd> |
||||||
|
<dt class="field-odd">Return type</dt> |
||||||
|
<dd class="field-odd"><p>List</p> |
||||||
|
</dd> |
||||||
|
</dl> |
||||||
|
</dd></dl> |
||||||
|
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||||||
|
<dl class="py method"> |
||||||
|
<dt id="PyCTBN.PyCTBN.utility.abstract_importer.AbstractImporter.build_sorter"> |
||||||
|
<em class="property">abstract </em><code class="sig-name descname">build_sorter</code><span class="sig-paren">(</span><em class="sig-param"><span class="n">trajecory_header</span><span class="p">:</span> <span class="n">object</span></em><span class="sig-paren">)</span> → List<a class="headerlink" href="#PyCTBN.PyCTBN.utility.abstract_importer.AbstractImporter.build_sorter" title="Permalink to this definition">¶</a></dt> |
||||||
|
<dd><p>Initializes the <code class="docutils literal notranslate"><span class="pre">_sorter</span></code> class member from a trajectory dataframe, exctracting the header of the frame |
||||||
|
and keeping ONLY the variables symbolic labels, cutting out the time label in the header.</p> |
||||||
|
<dl class="field-list simple"> |
||||||
|
<dt class="field-odd">Parameters</dt> |
||||||
|
<dd class="field-odd"><p><strong>trajecory_header</strong> (<em>object</em>) – an object that will be used to define the header</p> |
||||||
|
</dd> |
||||||
|
<dt class="field-even">Returns</dt> |
||||||
|
<dd class="field-even"><p>A list containing the processed header.</p> |
||||||
|
</dd> |
||||||
|
<dt class="field-odd">Return type</dt> |
||||||
|
<dd class="field-odd"><p>List</p> |
||||||
|
</dd> |
||||||
|
</dl> |
||||||
|
</dd></dl> |
||||||
|
|
||||||
|
<dl class="py method"> |
||||||
|
<dt id="PyCTBN.PyCTBN.utility.abstract_importer.AbstractImporter.clear_concatenated_frame"> |
||||||
|
<code class="sig-name descname">clear_concatenated_frame</code><span class="sig-paren">(</span><span class="sig-paren">)</span> → None<a class="headerlink" href="#PyCTBN.PyCTBN.utility.abstract_importer.AbstractImporter.clear_concatenated_frame" title="Permalink to this definition">¶</a></dt> |
||||||
|
<dd><p>Removes all values in the dataframe concatenated_samples.</p> |
||||||
|
</dd></dl> |
||||||
|
|
||||||
|
<dl class="py method"> |
||||||
|
<dt id="PyCTBN.PyCTBN.utility.abstract_importer.AbstractImporter.compute_row_delta_in_all_samples_frames"> |
||||||
|
<code class="sig-name descname">compute_row_delta_in_all_samples_frames</code><span class="sig-paren">(</span><em class="sig-param"><span class="n">df_samples_list</span><span class="p">:</span> <span class="n">List</span></em><span class="sig-paren">)</span> → None<a class="headerlink" href="#PyCTBN.PyCTBN.utility.abstract_importer.AbstractImporter.compute_row_delta_in_all_samples_frames" title="Permalink to this definition">¶</a></dt> |
||||||
|
<dd><p>Calls the method <code class="docutils literal notranslate"><span class="pre">compute_row_delta_sigle_samples_frame</span></code> on every dataframe present in the list |
||||||
|
<code class="docutils literal notranslate"><span class="pre">df_samples_list</span></code>. |
||||||
|
Concatenates the result in the dataframe <code class="docutils literal notranslate"><span class="pre">concatanated_samples</span></code></p> |
||||||
|
<dl class="field-list simple"> |
||||||
|
<dt class="field-odd">Parameters</dt> |
||||||
|
<dd class="field-odd"><p><strong>df_samples_list</strong> (<em>List</em>) – the datframe’s list to be processed and concatenated</p> |
||||||
|
</dd> |
||||||
|
</dl> |
||||||
|
<div class="admonition warning"> |
||||||
|
<p class="admonition-title">Warning</p> |
||||||
|
<p>The Dataframe sample_frame has to follow the column structure of this header: |
||||||
|
Header of sample_frame = [Time | Variable values] |
||||||
|
The class member self._sorter HAS to be properly INITIALIZED (See class members definition doc)</p> |
||||||
|
</div> |
||||||
|
<div class="admonition note"> |
||||||
|
<p class="admonition-title">Note</p> |
||||||
|
<p>After the call of this method the class member <code class="docutils literal notranslate"><span class="pre">concatanated_samples</span></code> will contain all processed |
||||||
|
and merged trajectories</p> |
||||||
|
</div> |
||||||
|
</dd></dl> |
||||||
|
|
||||||
|
<dl class="py method"> |
||||||
|
<dt id="PyCTBN.PyCTBN.utility.abstract_importer.AbstractImporter.compute_row_delta_sigle_samples_frame"> |
||||||
|
<code class="sig-name descname">compute_row_delta_sigle_samples_frame</code><span class="sig-paren">(</span><em class="sig-param"><span class="n">sample_frame</span><span class="p">:</span> <span class="n">pandas.core.frame.DataFrame</span></em>, <em class="sig-param"><span class="n">columns_header</span><span class="p">:</span> <span class="n">List</span></em>, <em class="sig-param"><span class="n">shifted_cols_header</span><span class="p">:</span> <span class="n">List</span></em><span class="sig-paren">)</span> → pandas.core.frame.DataFrame<a class="headerlink" href="#PyCTBN.PyCTBN.utility.abstract_importer.AbstractImporter.compute_row_delta_sigle_samples_frame" title="Permalink to this definition">¶</a></dt> |
||||||
|
<dd><p>Computes the difference between each value present in th time column. |
||||||
|
Copies and shift by one position up all the values present in the remaining columns.</p> |
||||||
|
<dl class="field-list simple"> |
||||||
|
<dt class="field-odd">Parameters</dt> |
||||||
|
<dd class="field-odd"><ul class="simple"> |
||||||
|
<li><p><strong>sample_frame</strong> (<em>pandas.Dataframe</em>) – the traj to be processed</p></li> |
||||||
|
<li><p><strong>columns_header</strong> (<em>List</em>) – the original header of sample_frame</p></li> |
||||||
|
<li><p><strong>shifted_cols_header</strong> (<em>List</em>) – a copy of columns_header with changed names of the contents</p></li> |
||||||
|
</ul> |
||||||
|
</dd> |
||||||
|
<dt class="field-even">Returns</dt> |
||||||
|
<dd class="field-even"><p>The processed dataframe</p> |
||||||
|
</dd> |
||||||
|
<dt class="field-odd">Return type</dt> |
||||||
|
<dd class="field-odd"><p>pandas.Dataframe</p> |
||||||
|
</dd> |
||||||
|
</dl> |
||||||
|
<div class="admonition warning"> |
||||||
|
<p class="admonition-title">Warning</p> |
||||||
|
<p>the Dataframe <code class="docutils literal notranslate"><span class="pre">sample_frame</span></code> has to follow the column structure of this header: |
||||||
|
Header of sample_frame = [Time | Variable values]</p> |
||||||
|
</div> |
||||||
|
</dd></dl> |
||||||
|
|
||||||
|
<dl class="py method"> |
||||||
|
<dt id="PyCTBN.PyCTBN.utility.abstract_importer.AbstractImporter.concatenated_samples"> |
||||||
|
<em class="property">property </em><code class="sig-name descname">concatenated_samples</code><a class="headerlink" href="#PyCTBN.PyCTBN.utility.abstract_importer.AbstractImporter.concatenated_samples" title="Permalink to this definition">¶</a></dt> |
||||||
|
<dd></dd></dl> |
||||||
|
|
||||||
|
<dl class="py method"> |
||||||
|
<dt id="PyCTBN.PyCTBN.utility.abstract_importer.AbstractImporter.dataset_id"> |
||||||
|
<em class="property">abstract </em><code class="sig-name descname">dataset_id</code><span class="sig-paren">(</span><span class="sig-paren">)</span> → object<a class="headerlink" href="#PyCTBN.PyCTBN.utility.abstract_importer.AbstractImporter.dataset_id" title="Permalink to this definition">¶</a></dt> |
||||||
|
<dd><p>If the original dataset contains multiple dataset, this method returns a unique id to identify the current |
||||||
|
dataset</p> |
||||||
|
</dd></dl> |
||||||
|
|
||||||
|
<dl class="py method"> |
||||||
|
<dt id="PyCTBN.PyCTBN.utility.abstract_importer.AbstractImporter.file_path"> |
||||||
|
<em class="property">property </em><code class="sig-name descname">file_path</code><a class="headerlink" href="#PyCTBN.PyCTBN.utility.abstract_importer.AbstractImporter.file_path" title="Permalink to this definition">¶</a></dt> |
||||||
|
<dd></dd></dl> |
||||||
|
|
||||||
|
<dl class="py method"> |
||||||
|
<dt id="PyCTBN.PyCTBN.utility.abstract_importer.AbstractImporter.sorter"> |
||||||
|
<em class="property">property </em><code class="sig-name descname">sorter</code><a class="headerlink" href="#PyCTBN.PyCTBN.utility.abstract_importer.AbstractImporter.sorter" title="Permalink to this definition">¶</a></dt> |
||||||
|
<dd></dd></dl> |
||||||
|
|
||||||
|
<dl class="py method"> |
||||||
|
<dt id="PyCTBN.PyCTBN.utility.abstract_importer.AbstractImporter.structure"> |
||||||
|
<em class="property">property </em><code class="sig-name descname">structure</code><a class="headerlink" href="#PyCTBN.PyCTBN.utility.abstract_importer.AbstractImporter.structure" title="Permalink to this definition">¶</a></dt> |
||||||
|
<dd></dd></dl> |
||||||
|
|
||||||
|
<dl class="py method"> |
||||||
|
<dt id="PyCTBN.PyCTBN.utility.abstract_importer.AbstractImporter.variables"> |
||||||
|
<em class="property">property </em><code class="sig-name descname">variables</code><a class="headerlink" href="#PyCTBN.PyCTBN.utility.abstract_importer.AbstractImporter.variables" title="Permalink to this definition">¶</a></dt> |
||||||
|
<dd></dd></dl> |
||||||
|
|
||||||
|
</dd></dl> |
||||||
|
|
||||||
|
</div> |
||||||
|
<div class="section" id="module-PyCTBN.PyCTBN.utility.cache"> |
||||||
|
<span id="pyctbn-pyctbn-utility-cache-module"></span><h2>PyCTBN.PyCTBN.utility.cache module<a class="headerlink" href="#module-PyCTBN.PyCTBN.utility.cache" title="Permalink to this headline">¶</a></h2> |
||||||
|
<dl class="py class"> |
||||||
|
<dt id="PyCTBN.PyCTBN.utility.cache.Cache"> |
||||||
|
<em class="property">class </em><code class="sig-prename descclassname">PyCTBN.PyCTBN.utility.cache.</code><code class="sig-name descname">Cache</code><a class="headerlink" href="#PyCTBN.PyCTBN.utility.cache.Cache" title="Permalink to this definition">¶</a></dt> |
||||||
|
<dd><p>Bases: <code class="xref py py-class docutils literal notranslate"><span class="pre">object</span></code></p> |
||||||
|
<p>This class acts as a cache of <code class="docutils literal notranslate"><span class="pre">SetOfCims</span></code> objects for a node.</p> |
||||||
|
<dl class="field-list simple"> |
||||||
|
<dt class="field-odd">__list_of_sets_of_parents</dt> |
||||||
|
<dd class="field-odd"><p>a list of <code class="docutils literal notranslate"><span class="pre">Sets</span></code> objects of the parents to which the cim in cache at SAME |
||||||
|
index is related</p> |
||||||
|
</dd> |
||||||
|
<dt class="field-even">__actual_cache</dt> |
||||||
|
<dd class="field-even"><p>a list of setOfCims objects</p> |
||||||
|
</dd> |
||||||
|
</dl> |
||||||
|
<dl class="py method"> |
||||||
|
<dt id="PyCTBN.PyCTBN.utility.cache.Cache.clear"> |
||||||
|
<code class="sig-name descname">clear</code><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="headerlink" href="#PyCTBN.PyCTBN.utility.cache.Cache.clear" title="Permalink to this definition">¶</a></dt> |
||||||
|
<dd><p>Clear the contents both of <code class="docutils literal notranslate"><span class="pre">__actual_cache</span></code> and <code class="docutils literal notranslate"><span class="pre">__list_of_sets_of_parents</span></code>.</p> |
||||||
|
</dd></dl> |
||||||
|
|
||||||
|
<dl class="py method"> |
||||||
|
<dt id="PyCTBN.PyCTBN.utility.cache.Cache.find"> |
||||||
|
<code class="sig-name descname">find</code><span class="sig-paren">(</span><em class="sig-param"><span class="n">parents_comb</span><span class="p">:</span> <span class="n">Set</span></em><span class="sig-paren">)</span><a class="headerlink" href="#PyCTBN.PyCTBN.utility.cache.Cache.find" title="Permalink to this definition">¶</a></dt> |
||||||
|
<dd><p>Tries to find in cache given the symbolic parents combination <code class="docutils literal notranslate"><span class="pre">parents_comb</span></code> the <code class="docutils literal notranslate"><span class="pre">SetOfCims</span></code> |
||||||
|
related to that <code class="docutils literal notranslate"><span class="pre">parents_comb</span></code>.</p> |
||||||
|
<dl class="field-list simple"> |
||||||
|
<dt class="field-odd">Parameters</dt> |
||||||
|
<dd class="field-odd"><p><strong>parents_comb</strong> (<em>Set</em>) – the parents related to that <code class="docutils literal notranslate"><span class="pre">SetOfCims</span></code></p> |
||||||
|
</dd> |
||||||
|
<dt class="field-even">Returns</dt> |
||||||
|
<dd class="field-even"><p>A <code class="docutils literal notranslate"><span class="pre">SetOfCims</span></code> object if the <code class="docutils literal notranslate"><span class="pre">parents_comb</span></code> index is found in <code class="docutils literal notranslate"><span class="pre">__list_of_sets_of_parents</span></code>. |
||||||
|
None otherwise.</p> |
||||||
|
</dd> |
||||||
|
<dt class="field-odd">Return type</dt> |
||||||
|
<dd class="field-odd"><p><a class="reference internal" href="PyCTBN.PyCTBN.structure_graph.html#PyCTBN.PyCTBN.structure_graph.set_of_cims.SetOfCims" title="PyCTBN.PyCTBN.structure_graph.set_of_cims.SetOfCims">SetOfCims</a></p> |
||||||
|
</dd> |
||||||
|
</dl> |
||||||
|
</dd></dl> |
||||||
|
|
||||||
|
<dl class="py method"> |
||||||
|
<dt id="PyCTBN.PyCTBN.utility.cache.Cache.put"> |
||||||
|
<code class="sig-name descname">put</code><span class="sig-paren">(</span><em class="sig-param"><span class="n">parents_comb</span><span class="p">:</span> <span class="n">Set</span></em>, <em class="sig-param"><span class="n">socim</span><span class="p">:</span> <span class="n"><a class="reference internal" href="PyCTBN.PyCTBN.structure_graph.html#PyCTBN.PyCTBN.structure_graph.set_of_cims.SetOfCims" title="PyCTBN.PyCTBN.structure_graph.set_of_cims.SetOfCims">PyCTBN.PyCTBN.structure_graph.set_of_cims.SetOfCims</a></span></em><span class="sig-paren">)</span><a class="headerlink" href="#PyCTBN.PyCTBN.utility.cache.Cache.put" title="Permalink to this definition">¶</a></dt> |
||||||
|
<dd><p>Place in cache the <code class="docutils literal notranslate"><span class="pre">SetOfCims</span></code> object, and the related symbolic index <code class="docutils literal notranslate"><span class="pre">parents_comb</span></code> in |
||||||
|
<code class="docutils literal notranslate"><span class="pre">__list_of_sets_of_parents</span></code>.</p> |
||||||
|
<dl class="field-list simple"> |
||||||
|
<dt class="field-odd">Parameters</dt> |
||||||
|
<dd class="field-odd"><ul class="simple"> |
||||||
|
<li><p><strong>parents_comb</strong> (<em>Set</em>) – the symbolic set index</p></li> |
||||||
|
<li><p><strong>socim</strong> (<a class="reference internal" href="PyCTBN.PyCTBN.structure_graph.html#PyCTBN.PyCTBN.structure_graph.set_of_cims.SetOfCims" title="PyCTBN.PyCTBN.structure_graph.set_of_cims.SetOfCims"><em>SetOfCims</em></a>) – the related SetOfCims object</p></li> |
||||||
|
</ul> |
||||||
|
</dd> |
||||||
|
</dl> |
||||||
|
</dd></dl> |
||||||
|
|
||||||
|
</dd></dl> |
||||||
|
|
||||||
|
</div> |
||||||
|
<div class="section" id="module-PyCTBN.PyCTBN.utility.json_importer"> |
||||||
|
<span id="pyctbn-pyctbn-utility-json-importer-module"></span><h2>PyCTBN.PyCTBN.utility.json_importer module<a class="headerlink" href="#module-PyCTBN.PyCTBN.utility.json_importer" title="Permalink to this headline">¶</a></h2> |
||||||
|
<dl class="py class"> |
||||||
|
<dt id="PyCTBN.PyCTBN.utility.json_importer.JsonImporter"> |
||||||
|
<em class="property">class </em><code class="sig-prename descclassname">PyCTBN.PyCTBN.utility.json_importer.</code><code class="sig-name descname">JsonImporter</code><span class="sig-paren">(</span><em class="sig-param"><span class="n">file_path</span><span class="p">:</span> <span class="n">str</span></em>, <em class="sig-param"><span class="n">samples_label</span><span class="p">:</span> <span class="n">str</span></em>, <em class="sig-param"><span class="n">structure_label</span><span class="p">:</span> <span class="n">str</span></em>, <em class="sig-param"><span class="n">variables_label</span><span class="p">:</span> <span class="n">str</span></em>, <em class="sig-param"><span class="n">time_key</span><span class="p">:</span> <span class="n">str</span></em>, <em class="sig-param"><span class="n">variables_key</span><span class="p">:</span> <span class="n">str</span></em><span class="sig-paren">)</span><a class="headerlink" href="#PyCTBN.PyCTBN.utility.json_importer.JsonImporter" title="Permalink to this definition">¶</a></dt> |
||||||
|
<dd><p>Bases: <a class="reference internal" href="#PyCTBN.PyCTBN.utility.abstract_importer.AbstractImporter" title="PyCTBN.PyCTBN.utility.abstract_importer.AbstractImporter"><code class="xref py py-class docutils literal notranslate"><span class="pre">PyCTBN.PyCTBN.utility.abstract_importer.AbstractImporter</span></code></a></p> |
||||||
|
<p>Implements the abstracts methods of AbstractImporter and adds all the necessary methods to process and prepare |
||||||
|
the data in json extension.</p> |
||||||
|
<dl class="field-list simple"> |
||||||
|
<dt class="field-odd">Parameters</dt> |
||||||
|
<dd class="field-odd"><ul class="simple"> |
||||||
|
<li><p><strong>file_path</strong> (<em>string</em>) – the path of the file that contains tha data to be imported</p></li> |
||||||
|
<li><p><strong>samples_label</strong> (<em>string</em>) – the reference key for the samples in the trajectories</p></li> |
||||||
|
<li><p><strong>structure_label</strong> (<em>string</em>) – the reference key for the structure of the network data</p></li> |
||||||
|
<li><p><strong>variables_label</strong> (<em>string</em>) – the reference key for the cardinalites of the nodes data</p></li> |
||||||
|
<li><p><strong>time_key</strong> (<em>string</em>) – the key used to identify the timestamps in each trajectory</p></li> |
||||||
|
<li><p><strong>variables_key</strong> (<em>string</em>) – the key used to identify the names of the variables in the net</p></li> |
||||||
|
</ul> |
||||||
|
</dd> |
||||||
|
<dt class="field-even">_array_indx</dt> |
||||||
|
<dd class="field-even"><p>the index of the outer JsonArray to extract the data from</p> |
||||||
|
</dd> |
||||||
|
<dt class="field-odd">_df_samples_list</dt> |
||||||
|
<dd class="field-odd"><p>a Dataframe list in which every dataframe contains a trajectory</p> |
||||||
|
</dd> |
||||||
|
<dt class="field-even">_raw_data</dt> |
||||||
|
<dd class="field-even"><p>The raw contents of the json file to import</p> |
||||||
|
</dd> |
||||||
|
</dl> |
||||||
|
<dl class="py method"> |
||||||
|
<dt id="PyCTBN.PyCTBN.utility.json_importer.JsonImporter.build_sorter"> |
||||||
|
<code class="sig-name descname">build_sorter</code><span class="sig-paren">(</span><em class="sig-param"><span class="n">sample_frame</span><span class="p">:</span> <span class="n">pandas.core.frame.DataFrame</span></em><span class="sig-paren">)</span> → List<a class="headerlink" href="#PyCTBN.PyCTBN.utility.json_importer.JsonImporter.build_sorter" title="Permalink to this definition">¶</a></dt> |
||||||
|
<dd><p>Implements the abstract method build_sorter of the <code class="xref py py-class docutils literal notranslate"><span class="pre">AbstractImporter</span></code> for this dataset.</p> |
||||||
|
</dd></dl> |
||||||
|
|
||||||
|
<dl class="py method"> |
||||||
|
<dt id="PyCTBN.PyCTBN.utility.json_importer.JsonImporter.clear_data_frame_list"> |
||||||
|
<code class="sig-name descname">clear_data_frame_list</code><span class="sig-paren">(</span><span class="sig-paren">)</span> → None<a class="headerlink" href="#PyCTBN.PyCTBN.utility.json_importer.JsonImporter.clear_data_frame_list" title="Permalink to this definition">¶</a></dt> |
||||||
|
<dd><p>Removes all values present in the dataframes in the list <code class="docutils literal notranslate"><span class="pre">_df_samples_list</span></code>.</p> |
||||||
|
</dd></dl> |
||||||
|
|
||||||
|
<dl class="py method"> |
||||||
|
<dt id="PyCTBN.PyCTBN.utility.json_importer.JsonImporter.dataset_id"> |
||||||
|
<code class="sig-name descname">dataset_id</code><span class="sig-paren">(</span><span class="sig-paren">)</span> → object<a class="headerlink" href="#PyCTBN.PyCTBN.utility.json_importer.JsonImporter.dataset_id" title="Permalink to this definition">¶</a></dt> |
||||||
|
<dd><p>If the original dataset contains multiple dataset, this method returns a unique id to identify the current |
||||||
|
dataset</p> |
||||||
|
</dd></dl> |
||||||
|
|
||||||
|
<dl class="py method"> |
||||||
|
<dt id="PyCTBN.PyCTBN.utility.json_importer.JsonImporter.import_data"> |
||||||
|
<code class="sig-name descname">import_data</code><span class="sig-paren">(</span><em class="sig-param"><span class="n">indx</span><span class="p">:</span> <span class="n">int</span></em><span class="sig-paren">)</span> → None<a class="headerlink" href="#PyCTBN.PyCTBN.utility.json_importer.JsonImporter.import_data" title="Permalink to this definition">¶</a></dt> |
||||||
|
<dd><p>Implements the abstract method of <code class="xref py py-class docutils literal notranslate"><span class="pre">AbstractImporter</span></code>.</p> |
||||||
|
<dl class="field-list simple"> |
||||||
|
<dt class="field-odd">Parameters</dt> |
||||||
|
<dd class="field-odd"><p><strong>indx</strong> (<em>int</em>) – the index of the outer JsonArray to extract the data from</p> |
||||||
|
</dd> |
||||||
|
</dl> |
||||||
|
</dd></dl> |
||||||
|
|
||||||
|
<dl class="py method"> |
||||||
|
<dt id="PyCTBN.PyCTBN.utility.json_importer.JsonImporter.import_sampled_cims"> |
||||||
|
<code class="sig-name descname">import_sampled_cims</code><span class="sig-paren">(</span><em class="sig-param"><span class="n">raw_data</span><span class="p">:</span> <span class="n">List</span></em>, <em class="sig-param"><span class="n">indx</span><span class="p">:</span> <span class="n">int</span></em>, <em class="sig-param"><span class="n">cims_key</span><span class="p">:</span> <span class="n">str</span></em><span class="sig-paren">)</span> → Dict<a class="headerlink" href="#PyCTBN.PyCTBN.utility.json_importer.JsonImporter.import_sampled_cims" title="Permalink to this definition">¶</a></dt> |
||||||
|
<dd><p>Imports the synthetic CIMS in the dataset in a dictionary, using variables labels |
||||||
|
as keys for the set of CIMS of a particular node.</p> |
||||||
|
<dl class="field-list simple"> |
||||||
|
<dt class="field-odd">Parameters</dt> |
||||||
|
<dd class="field-odd"><ul class="simple"> |
||||||
|
<li><p><strong>raw_data</strong> (<em>List</em>) – List of Dicts</p></li> |
||||||
|
<li><p><strong>indx</strong> (<em>int</em>) – The index of the array from which the data have to be extracted</p></li> |
||||||
|
<li><p><strong>cims_key</strong> (<em>string</em>) – the key where the json object cims are placed</p></li> |
||||||
|
</ul> |
||||||
|
</dd> |
||||||
|
<dt class="field-even">Returns</dt> |
||||||
|
<dd class="field-even"><p>a dictionary containing the sampled CIMS for all the variables in the net</p> |
||||||
|
</dd> |
||||||
|
<dt class="field-odd">Return type</dt> |
||||||
|
<dd class="field-odd"><p>Dictionary</p> |
||||||
|
</dd> |
||||||
|
</dl> |
||||||
|
</dd></dl> |
||||||
|
|
||||||
|
<dl class="py method"> |
||||||
|
<dt id="PyCTBN.PyCTBN.utility.json_importer.JsonImporter.import_structure"> |
||||||
|
<code class="sig-name descname">import_structure</code><span class="sig-paren">(</span><em class="sig-param"><span class="n">raw_data</span><span class="p">:</span> <span class="n">List</span></em><span class="sig-paren">)</span> → pandas.core.frame.DataFrame<a class="headerlink" href="#PyCTBN.PyCTBN.utility.json_importer.JsonImporter.import_structure" title="Permalink to this definition">¶</a></dt> |
||||||
|
<dd><p>Imports in a dataframe the data in the list raw_data at the key <code class="docutils literal notranslate"><span class="pre">_structure_label</span></code></p> |
||||||
|
<dl class="field-list simple"> |
||||||
|
<dt class="field-odd">Parameters</dt> |
||||||
|
<dd class="field-odd"><p><strong>raw_data</strong> (<em>List</em>) – List of Dicts</p> |
||||||
|
</dd> |
||||||
|
<dt class="field-even">Returns</dt> |
||||||
|
<dd class="field-even"><p>Dataframe containg the starting node a ending node of every arc of the network</p> |
||||||
|
</dd> |
||||||
|
<dt class="field-odd">Return type</dt> |
||||||
|
<dd class="field-odd"><p>pandas.Dataframe</p> |
||||||
|
</dd> |
||||||
|
</dl> |
||||||
|
</dd></dl> |
||||||
|
|
||||||
|
<dl class="py method"> |
||||||
|
<dt id="PyCTBN.PyCTBN.utility.json_importer.JsonImporter.import_trajectories"> |
||||||
|
<code class="sig-name descname">import_trajectories</code><span class="sig-paren">(</span><em class="sig-param"><span class="n">raw_data</span><span class="p">:</span> <span class="n">List</span></em><span class="sig-paren">)</span> → List<a class="headerlink" href="#PyCTBN.PyCTBN.utility.json_importer.JsonImporter.import_trajectories" title="Permalink to this definition">¶</a></dt> |
||||||
|
<dd><p>Imports the trajectories from the list of dicts <code class="docutils literal notranslate"><span class="pre">raw_data</span></code>.</p> |
||||||
|
<dl class="field-list simple"> |
||||||
|
<dt class="field-odd">Parameters</dt> |
||||||
|
<dd class="field-odd"><p><strong>raw_data</strong> (<em>List</em>) – List of Dicts</p> |
||||||
|
</dd> |
||||||
|
<dt class="field-even">Returns</dt> |
||||||
|
<dd class="field-even"><p>List of dataframes containing all the trajectories</p> |
||||||
|
</dd> |
||||||
|
<dt class="field-odd">Return type</dt> |
||||||
|
<dd class="field-odd"><p>List</p> |
||||||
|
</dd> |
||||||
|
</dl> |
||||||
|
</dd></dl> |
||||||
|
|
||||||
|
<dl class="py method"> |
||||||
|
<dt id="PyCTBN.PyCTBN.utility.json_importer.JsonImporter.import_variables"> |
||||||
|
<code class="sig-name descname">import_variables</code><span class="sig-paren">(</span><em class="sig-param"><span class="n">raw_data</span><span class="p">:</span> <span class="n">List</span></em><span class="sig-paren">)</span> → pandas.core.frame.DataFrame<a class="headerlink" href="#PyCTBN.PyCTBN.utility.json_importer.JsonImporter.import_variables" title="Permalink to this definition">¶</a></dt> |
||||||
|
<dd><p>Imports the data in <code class="docutils literal notranslate"><span class="pre">raw_data</span></code> at the key <code class="docutils literal notranslate"><span class="pre">_variables_label</span></code>.</p> |
||||||
|
<dl class="field-list simple"> |
||||||
|
<dt class="field-odd">Parameters</dt> |
||||||
|
<dd class="field-odd"><p><strong>raw_data</strong> (<em>List</em>) – List of Dicts</p> |
||||||
|
</dd> |
||||||
|
<dt class="field-even">Returns</dt> |
||||||
|
<dd class="field-even"><p>Datframe containg the variables simbolic labels and their cardinalities</p> |
||||||
|
</dd> |
||||||
|
<dt class="field-odd">Return type</dt> |
||||||
|
<dd class="field-odd"><p>pandas.Dataframe</p> |
||||||
|
</dd> |
||||||
|
</dl> |
||||||
|
</dd></dl> |
||||||
|
|
||||||
|
<dl class="py method"> |
||||||
|
<dt id="PyCTBN.PyCTBN.utility.json_importer.JsonImporter.normalize_trajectories"> |
||||||
|
<code class="sig-name descname">normalize_trajectories</code><span class="sig-paren">(</span><em class="sig-param"><span class="n">raw_data</span><span class="p">:</span> <span class="n">List</span></em>, <em class="sig-param"><span class="n">indx</span><span class="p">:</span> <span class="n">int</span></em>, <em class="sig-param"><span class="n">trajectories_key</span><span class="p">:</span> <span class="n">str</span></em><span class="sig-paren">)</span> → List<a class="headerlink" href="#PyCTBN.PyCTBN.utility.json_importer.JsonImporter.normalize_trajectories" title="Permalink to this definition">¶</a></dt> |
||||||
|
<dd><p>Extracts the trajectories in <code class="docutils literal notranslate"><span class="pre">raw_data</span></code> at the index <code class="docutils literal notranslate"><span class="pre">index</span></code> at the key <code class="docutils literal notranslate"><span class="pre">trajectories</span> <span class="pre">key</span></code>.</p> |
||||||
|
<dl class="field-list simple"> |
||||||
|
<dt class="field-odd">Parameters</dt> |
||||||
|
<dd class="field-odd"><ul class="simple"> |
||||||
|
<li><p><strong>raw_data</strong> (<em>List</em>) – List of Dicts</p></li> |
||||||
|
<li><p><strong>indx</strong> (<em>int</em>) – The index of the array from which the data have to be extracted</p></li> |
||||||
|
<li><p><strong>trajectories_key</strong> (<em>string</em>) – the key of the trajectories objects</p></li> |
||||||
|
</ul> |
||||||
|
</dd> |
||||||
|
<dt class="field-even">Returns</dt> |
||||||
|
<dd class="field-even"><p>A list of daframes containg the trajectories</p> |
||||||
|
</dd> |
||||||
|
<dt class="field-odd">Return type</dt> |
||||||
|
<dd class="field-odd"><p>List</p> |
||||||
|
</dd> |
||||||
|
</dl> |
||||||
|
</dd></dl> |
||||||
|
|
||||||
|
<dl class="py method"> |
||||||
|
<dt id="PyCTBN.PyCTBN.utility.json_importer.JsonImporter.one_level_normalizing"> |
||||||
|
<code class="sig-name descname">one_level_normalizing</code><span class="sig-paren">(</span><em class="sig-param"><span class="n">raw_data</span><span class="p">:</span> <span class="n">List</span></em>, <em class="sig-param"><span class="n">indx</span><span class="p">:</span> <span class="n">int</span></em>, <em class="sig-param"><span class="n">key</span><span class="p">:</span> <span class="n">str</span></em><span class="sig-paren">)</span> → pandas.core.frame.DataFrame<a class="headerlink" href="#PyCTBN.PyCTBN.utility.json_importer.JsonImporter.one_level_normalizing" title="Permalink to this definition">¶</a></dt> |
||||||
|
<dd><p>Extracts the one-level nested data in the list <code class="docutils literal notranslate"><span class="pre">raw_data</span></code> at the index <code class="docutils literal notranslate"><span class="pre">indx</span></code> at the key <code class="docutils literal notranslate"><span class="pre">key</span></code>.</p> |
||||||
|
<dl class="field-list simple"> |
||||||
|
<dt class="field-odd">Parameters</dt> |
||||||
|
<dd class="field-odd"><ul class="simple"> |
||||||
|
<li><p><strong>raw_data</strong> (<em>List</em>) – List of Dicts</p></li> |
||||||
|
<li><p><strong>indx</strong> (<em>int</em>) – The index of the array from which the data have to be extracted</p></li> |
||||||
|
<li><p><strong>key</strong> (<em>string</em>) – the key for the Dicts from which exctract data</p></li> |
||||||
|
</ul> |
||||||
|
</dd> |
||||||
|
<dt class="field-even">Returns</dt> |
||||||
|
<dd class="field-even"><p>A normalized dataframe</p> |
||||||
|
</dd> |
||||||
|
<dt class="field-odd">Return type</dt> |
||||||
|
<dd class="field-odd"><p>pandas.Datframe</p> |
||||||
|
</dd> |
||||||
|
</dl> |
||||||
|
</dd></dl> |
||||||
|
|
||||||
|
<dl class="py method"> |
||||||
|
<dt id="PyCTBN.PyCTBN.utility.json_importer.JsonImporter.read_json_file"> |
||||||
|
<code class="sig-name descname">read_json_file</code><span class="sig-paren">(</span><span class="sig-paren">)</span> → List<a class="headerlink" href="#PyCTBN.PyCTBN.utility.json_importer.JsonImporter.read_json_file" title="Permalink to this definition">¶</a></dt> |
||||||
|
<dd><p>Reads the JSON file in the path self.filePath.</p> |
||||||
|
<dl class="field-list simple"> |
||||||
|
<dt class="field-odd">Returns</dt> |
||||||
|
<dd class="field-odd"><p>The contents of the json file</p> |
||||||
|
</dd> |
||||||
|
<dt class="field-even">Return type</dt> |
||||||
|
<dd class="field-even"><p>List</p> |
||||||
|
</dd> |
||||||
|
</dl> |
||||||
|
</dd></dl> |
||||||
|
|
||||||
|
</dd></dl> |
||||||
|
|
||||||
|
</div> |
||||||
|
<div class="section" id="module-PyCTBN.PyCTBN.utility.sample_importer"> |
||||||
|
<span id="pyctbn-pyctbn-utility-sample-importer-module"></span><h2>PyCTBN.PyCTBN.utility.sample_importer module<a class="headerlink" href="#module-PyCTBN.PyCTBN.utility.sample_importer" title="Permalink to this headline">¶</a></h2> |
||||||
|
<dl class="py class"> |
||||||
|
<dt id="PyCTBN.PyCTBN.utility.sample_importer.SampleImporter"> |
||||||
|
<em class="property">class </em><code class="sig-prename descclassname">PyCTBN.PyCTBN.utility.sample_importer.</code><code class="sig-name descname">SampleImporter</code><span class="sig-paren">(</span><em class="sig-param"><span class="n">trajectory_list</span><span class="p">:</span> <span class="n">Union<span class="p">[</span>pandas.core.frame.DataFrame<span class="p">, </span>numpy.ndarray<span class="p">, </span>List<span class="p">]</span></span> <span class="o">=</span> <span class="default_value">None</span></em>, <em class="sig-param"><span class="n">variables</span><span class="p">:</span> <span class="n">Union<span class="p">[</span>pandas.core.frame.DataFrame<span class="p">, </span>numpy.ndarray<span class="p">, </span>List<span class="p">]</span></span> <span class="o">=</span> <span class="default_value">None</span></em>, <em class="sig-param"><span class="n">prior_net_structure</span><span class="p">:</span> <span class="n">Union<span class="p">[</span>pandas.core.frame.DataFrame<span class="p">, </span>numpy.ndarray<span class="p">, </span>List<span class="p">]</span></span> <span class="o">=</span> <span class="default_value">None</span></em><span class="sig-paren">)</span><a class="headerlink" href="#PyCTBN.PyCTBN.utility.sample_importer.SampleImporter" title="Permalink to this definition">¶</a></dt> |
||||||
|
<dd><p>Bases: <a class="reference internal" href="#PyCTBN.PyCTBN.utility.abstract_importer.AbstractImporter" title="PyCTBN.PyCTBN.utility.abstract_importer.AbstractImporter"><code class="xref py py-class docutils literal notranslate"><span class="pre">PyCTBN.PyCTBN.utility.abstract_importer.AbstractImporter</span></code></a></p> |
||||||
|
<p>Implements the abstracts methods of AbstractImporter and adds all the necessary methods to process and prepare |
||||||
|
the data loaded directly by using DataFrame</p> |
||||||
|
<dl class="field-list simple"> |
||||||
|
<dt class="field-odd">Parameters</dt> |
||||||
|
<dd class="field-odd"><ul class="simple"> |
||||||
|
<li><p><strong>trajectory_list</strong> (<em>typing.Union</em><em>[</em><em>pd.DataFrame</em><em>, </em><em>np.ndarray</em><em>, </em><em>typing.List</em><em>]</em>) – the data that describes the trajectories</p></li> |
||||||
|
<li><p><strong>variables</strong> (<em>typing.Union</em><em>[</em><em>pd.DataFrame</em><em>, </em><em>np.ndarray</em><em>, </em><em>typing.List</em><em>]</em>) – the data that describes the variables with name and cardinality</p></li> |
||||||
|
<li><p><strong>prior_net_structure</strong> (<em>typing.Union</em><em>[</em><em>pd.DataFrame</em><em>, </em><em>np.ndarray</em><em>, </em><em>typing.List</em><em>]</em>) – the data of the real structure, if it exists</p></li> |
||||||
|
</ul> |
||||||
|
</dd> |
||||||
|
<dt class="field-even">_df_samples_list</dt> |
||||||
|
<dd class="field-even"><p>a Dataframe list in which every dataframe contains a trajectory</p> |
||||||
|
</dd> |
||||||
|
<dt class="field-odd">_raw_data</dt> |
||||||
|
<dd class="field-odd"><p>The raw contents of the json file to import</p> |
||||||
|
</dd> |
||||||
|
</dl> |
||||||
|
<dl class="py method"> |
||||||
|
<dt id="PyCTBN.PyCTBN.utility.sample_importer.SampleImporter.build_sorter"> |
||||||
|
<code class="sig-name descname">build_sorter</code><span class="sig-paren">(</span><em class="sig-param"><span class="n">sample_frame</span><span class="p">:</span> <span class="n">pandas.core.frame.DataFrame</span></em><span class="sig-paren">)</span> → List<a class="headerlink" href="#PyCTBN.PyCTBN.utility.sample_importer.SampleImporter.build_sorter" title="Permalink to this definition">¶</a></dt> |
||||||
|
<dd><p>Implements the abstract method build_sorter of the <code class="xref py py-class docutils literal notranslate"><span class="pre">AbstractImporter</span></code> in order to get the ordered variables list.</p> |
||||||
|
</dd></dl> |
||||||
|
|
||||||
|
<dl class="py method"> |
||||||
|
<dt id="PyCTBN.PyCTBN.utility.sample_importer.SampleImporter.dataset_id"> |
||||||
|
<code class="sig-name descname">dataset_id</code><span class="sig-paren">(</span><span class="sig-paren">)</span> → str<a class="headerlink" href="#PyCTBN.PyCTBN.utility.sample_importer.SampleImporter.dataset_id" title="Permalink to this definition">¶</a></dt> |
||||||
|
<dd><p>If the original dataset contains multiple dataset, this method returns a unique id to identify the current |
||||||
|
dataset</p> |
||||||
|
</dd></dl> |
||||||
|
|
||||||
|
<dl class="py method"> |
||||||
|
<dt id="PyCTBN.PyCTBN.utility.sample_importer.SampleImporter.import_data"> |
||||||
|
<code class="sig-name descname">import_data</code><span class="sig-paren">(</span><em class="sig-param"><span class="n">header_column</span><span class="o">=</span><span class="default_value">None</span></em><span class="sig-paren">)</span><a class="headerlink" href="#PyCTBN.PyCTBN.utility.sample_importer.SampleImporter.import_data" title="Permalink to this definition">¶</a></dt> |
||||||
|
<dd></dd></dl> |
||||||
|
|
||||||
|
</dd></dl> |
||||||
|
|
||||||
|
</div> |
||||||
|
<div class="section" id="module-PyCTBN.PyCTBN.utility"> |
||||||
|
<span id="module-contents"></span><h2>Module contents<a class="headerlink" href="#module-PyCTBN.PyCTBN.utility" title="Permalink to this headline">¶</a></h2> |
||||||
|
</div> |
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<p> |
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© Copyright 2021, Bregoli Alessandro, Martini Filippo, Moretti Luca. |
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<p class="caption"><span class="caption-text">Contents:</span></p> |
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<ul> |
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<li class="toctree-l1"><a class="reference internal" href="modules.html">PyCTBN</a><ul> |
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<li class="toctree-l2"><a class="reference internal" href="PyCTBN.PyCTBN.html">PyCTBN.PyCTBN package</a></li> |
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<li class="toctree-l2"><a class="reference internal" href="examples.html">Examples</a></li> |
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<div class="section" id="pyctbn-package"> |
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<h1>PyCTBN package<a class="headerlink" href="#pyctbn-package" title="Permalink to this headline">¶</a></h1> |
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<div class="section" id="subpackages"> |
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<h2>Subpackages<a class="headerlink" href="#subpackages" title="Permalink to this headline">¶</a></h2> |
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<div class="toctree-wrapper compound"> |
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<ul> |
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<li class="toctree-l1"><a class="reference internal" href="PyCTBN.PyCTBN.html">PyCTBN.PyCTBN package</a><ul> |
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<li class="toctree-l2"><a class="reference internal" href="PyCTBN.PyCTBN.html#subpackages">Subpackages</a><ul> |
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<li class="toctree-l3"><a class="reference internal" href="PyCTBN.PyCTBN.estimators.html">PyCTBN.PyCTBN.estimators package</a><ul> |
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|
<li class="toctree-l4"><a class="reference internal" href="PyCTBN.PyCTBN.estimators.html#submodules">Submodules</a></li> |
||||||
|
<li class="toctree-l4"><a class="reference internal" href="PyCTBN.PyCTBN.estimators.html#module-PyCTBN.PyCTBN.estimators.fam_score_calculator">PyCTBN.PyCTBN.estimators.fam_score_calculator module</a></li> |
||||||
|
<li class="toctree-l4"><a class="reference internal" href="PyCTBN.PyCTBN.estimators.html#module-PyCTBN.PyCTBN.estimators.parameters_estimator">PyCTBN.PyCTBN.estimators.parameters_estimator module</a></li> |
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|
<li class="toctree-l4"><a class="reference internal" href="PyCTBN.PyCTBN.estimators.html#module-PyCTBN.PyCTBN.estimators.structure_constraint_based_estimator">PyCTBN.PyCTBN.estimators.structure_constraint_based_estimator module</a></li> |
||||||
|
<li class="toctree-l4"><a class="reference internal" href="PyCTBN.PyCTBN.estimators.html#module-PyCTBN.PyCTBN.estimators.structure_estimator">PyCTBN.PyCTBN.estimators.structure_estimator module</a></li> |
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|
<li class="toctree-l4"><a class="reference internal" href="PyCTBN.PyCTBN.estimators.html#module-PyCTBN.PyCTBN.estimators.structure_score_based_estimator">PyCTBN.PyCTBN.estimators.structure_score_based_estimator module</a></li> |
||||||
|
<li class="toctree-l4"><a class="reference internal" href="PyCTBN.PyCTBN.estimators.html#module-PyCTBN.PyCTBN.estimators">Module contents</a></li> |
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</ul> |
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</li> |
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<li class="toctree-l3"><a class="reference internal" href="PyCTBN.PyCTBN.optimizers.html">PyCTBN.PyCTBN.optimizers package</a><ul> |
||||||
|
<li class="toctree-l4"><a class="reference internal" href="PyCTBN.PyCTBN.optimizers.html#submodules">Submodules</a></li> |
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|
<li class="toctree-l4"><a class="reference internal" href="PyCTBN.PyCTBN.optimizers.html#module-PyCTBN.PyCTBN.optimizers.constraint_based_optimizer">PyCTBN.PyCTBN.optimizers.constraint_based_optimizer module</a></li> |
||||||
|
<li class="toctree-l4"><a class="reference internal" href="PyCTBN.PyCTBN.optimizers.html#module-PyCTBN.PyCTBN.optimizers.hill_climbing_search">PyCTBN.PyCTBN.optimizers.hill_climbing_search module</a></li> |
||||||
|
<li class="toctree-l4"><a class="reference internal" href="PyCTBN.PyCTBN.optimizers.html#module-PyCTBN.PyCTBN.optimizers.optimizer">PyCTBN.PyCTBN.optimizers.optimizer module</a></li> |
||||||
|
<li class="toctree-l4"><a class="reference internal" href="PyCTBN.PyCTBN.optimizers.html#module-PyCTBN.PyCTBN.optimizers.tabu_search">PyCTBN.PyCTBN.optimizers.tabu_search module</a></li> |
||||||
|
<li class="toctree-l4"><a class="reference internal" href="PyCTBN.PyCTBN.optimizers.html#module-PyCTBN.PyCTBN.optimizers">Module contents</a></li> |
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|
</ul> |
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|
</li> |
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|
<li class="toctree-l3"><a class="reference internal" href="PyCTBN.PyCTBN.structure_graph.html">PyCTBN.PyCTBN.structure_graph package</a><ul> |
||||||
|
<li class="toctree-l4"><a class="reference internal" href="PyCTBN.PyCTBN.structure_graph.html#submodules">Submodules</a></li> |
||||||
|
<li class="toctree-l4"><a class="reference internal" href="PyCTBN.PyCTBN.structure_graph.html#module-PyCTBN.PyCTBN.structure_graph.conditional_intensity_matrix">PyCTBN.PyCTBN.structure_graph.conditional_intensity_matrix module</a></li> |
||||||
|
<li class="toctree-l4"><a class="reference internal" href="PyCTBN.PyCTBN.structure_graph.html#module-PyCTBN.PyCTBN.structure_graph.network_graph">PyCTBN.PyCTBN.structure_graph.network_graph module</a></li> |
||||||
|
<li class="toctree-l4"><a class="reference internal" href="PyCTBN.PyCTBN.structure_graph.html#module-PyCTBN.PyCTBN.structure_graph.sample_path">PyCTBN.PyCTBN.structure_graph.sample_path module</a></li> |
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<li class="toctree-l4"><a class="reference internal" href="PyCTBN.PyCTBN.structure_graph.html#module-PyCTBN.PyCTBN.structure_graph.set_of_cims">PyCTBN.PyCTBN.structure_graph.set_of_cims module</a></li> |
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<li class="toctree-l4"><a class="reference internal" href="PyCTBN.PyCTBN.structure_graph.html#module-PyCTBN.PyCTBN.structure_graph.structure">PyCTBN.PyCTBN.structure_graph.structure module</a></li> |
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<li class="toctree-l4"><a class="reference internal" href="PyCTBN.PyCTBN.structure_graph.html#module-PyCTBN.PyCTBN.structure_graph.trajectory">PyCTBN.PyCTBN.structure_graph.trajectory module</a></li> |
||||||
|
<li class="toctree-l4"><a class="reference internal" href="PyCTBN.PyCTBN.structure_graph.html#module-PyCTBN.PyCTBN.structure_graph">Module contents</a></li> |
||||||
|
</ul> |
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|
</li> |
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<li class="toctree-l3"><a class="reference internal" href="PyCTBN.PyCTBN.utility.html">PyCTBN.PyCTBN.utility package</a><ul> |
||||||
|
<li class="toctree-l4"><a class="reference internal" href="PyCTBN.PyCTBN.utility.html#submodules">Submodules</a></li> |
||||||
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<li class="toctree-l4"><a class="reference internal" href="PyCTBN.PyCTBN.utility.html#module-PyCTBN.PyCTBN.utility.abstract_importer">PyCTBN.PyCTBN.utility.abstract_importer module</a></li> |
||||||
|
<li class="toctree-l4"><a class="reference internal" href="PyCTBN.PyCTBN.utility.html#module-PyCTBN.PyCTBN.utility.cache">PyCTBN.PyCTBN.utility.cache module</a></li> |
||||||
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<li class="toctree-l4"><a class="reference internal" href="PyCTBN.PyCTBN.utility.html#module-PyCTBN.PyCTBN.utility.json_importer">PyCTBN.PyCTBN.utility.json_importer module</a></li> |
||||||
|
<li class="toctree-l4"><a class="reference internal" href="PyCTBN.PyCTBN.utility.html#module-PyCTBN.PyCTBN.utility.sample_importer">PyCTBN.PyCTBN.utility.sample_importer module</a></li> |
||||||
|
<li class="toctree-l4"><a class="reference internal" href="PyCTBN.PyCTBN.utility.html#module-PyCTBN.PyCTBN.utility">Module contents</a></li> |
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</ul> |
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</li> |
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</ul> |
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</li> |
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<li class="toctree-l2"><a class="reference internal" href="PyCTBN.PyCTBN.html#module-PyCTBN.PyCTBN">Module contents</a></li> |
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</ul> |
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</li> |
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<div class="section" id="submodules"> |
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<h2>Submodules<a class="headerlink" href="#submodules" title="Permalink to this headline">¶</a></h2> |
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</div> |
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<div class="section" id="module-PyCTBN"> |
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<span id="module-contents"></span><h2>Module contents<a class="headerlink" href="#module-PyCTBN" title="Permalink to this headline">¶</a></h2> |
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© Copyright 2021, Bregoli Alessandro, Martini Filippo, Moretti Luca. |
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PyCTBN.estimators package |
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========================== |
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Submodules |
|
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---------- |
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||||||
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PyCTBN.estimators.fam\_score\_calculator module |
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------------------------------------------------ |
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.. automodule:: PyCTBN.estimators.fam_score_calculator |
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:members: |
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:undoc-members: |
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||||||
:show-inheritance: |
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PyCTBN.estimators.parameters\_estimator module |
|
||||||
----------------------------------------------- |
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||||||
.. automodule:: PyCTBN.estimators.parameters_estimator |
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:members: |
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:undoc-members: |
|
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:show-inheritance: |
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PyCTBN.estimators.structure\_constraint\_based\_estimator module |
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----------------------------------------------------------------- |
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.. automodule:: PyCTBN.estimators.structure_constraint_based_estimator |
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:members: |
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||||||
:undoc-members: |
|
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:show-inheritance: |
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||||||
PyCTBN.estimators.structure\_estimator module |
|
||||||
---------------------------------------------- |
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.. automodule:: PyCTBN.estimators.structure_estimator |
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:members: |
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:undoc-members: |
|
||||||
:show-inheritance: |
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PyCTBN.estimators.structure\_score\_based\_estimator module |
|
||||||
------------------------------------------------------------ |
|
||||||
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||||||
.. automodule:: PyCTBN.estimators.structure_score_based_estimator |
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:members: |
|
||||||
:undoc-members: |
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:show-inheritance: |
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|
||||||
Module contents |
|
||||||
--------------- |
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||||||
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|
||||||
.. automodule:: PyCTBN.estimators |
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||||||
:members: |
|
||||||
:undoc-members: |
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:show-inheritance: |
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@ -1,45 +0,0 @@ |
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PyCTBN.optimizers package |
|
||||||
========================== |
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||||||
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||||||
Submodules |
|
||||||
---------- |
|
||||||
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|
||||||
PyCTBN.optimizers.constraint\_based\_optimizer module |
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||||||
------------------------------------------------------ |
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||||||
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||||||
.. automodule:: PyCTBN.optimizers.constraint_based_optimizer |
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||||||
:members: |
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||||||
:undoc-members: |
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||||||
:show-inheritance: |
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||||||
PyCTBN.optimizers.hill\_climbing\_search module |
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||||||
------------------------------------------------ |
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||||||
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||||||
.. automodule:: PyCTBN.optimizers.hill_climbing_search |
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||||||
:members: |
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||||||
:undoc-members: |
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||||||
:show-inheritance: |
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||||||
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||||||
PyCTBN.optimizers.optimizer module |
|
||||||
----------------------------------- |
|
||||||
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|
||||||
.. automodule:: PyCTBN.optimizers.optimizer |
|
||||||
:members: |
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||||||
:undoc-members: |
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||||||
:show-inheritance: |
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||||||
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||||||
PyCTBN.optimizers.tabu\_search module |
|
||||||
-------------------------------------- |
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||||||
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||||||
.. automodule:: PyCTBN.optimizers.tabu_search |
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||||||
:members: |
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||||||
:undoc-members: |
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||||||
:show-inheritance: |
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||||||
Module contents |
|
||||||
--------------- |
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||||||
|
|
||||||
.. automodule:: PyCTBN.optimizers |
|
||||||
:members: |
|
||||||
:undoc-members: |
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:show-inheritance: |
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||||||
@ -1,77 +0,0 @@ |
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PyCTBN.structure\_graph package |
|
||||||
================================ |
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||||||
Submodules |
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||||||
---------- |
|
||||||
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||||||
PyCTBN.structure\_graph.abstract\_sample\_path module |
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||||||
------------------------------------------------------ |
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||||||
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||||||
.. automodule:: PyCTBN.structure_graph.abstract_sample_path |
|
||||||
:members: |
|
||||||
:undoc-members: |
|
||||||
:show-inheritance: |
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||||||
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||||||
PyCTBN.structure\_graph.conditional\_intensity\_matrix module |
|
||||||
-------------------------------------------------------------- |
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||||||
|
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||||||
.. automodule:: PyCTBN.structure_graph.conditional_intensity_matrix |
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||||||
:members: |
|
||||||
:undoc-members: |
|
||||||
:show-inheritance: |
|
||||||
|
|
||||||
PyCTBN.structure\_graph.network\_graph module |
|
||||||
---------------------------------------------- |
|
||||||
|
|
||||||
.. automodule:: PyCTBN.structure_graph.network_graph |
|
||||||
:members: |
|
||||||
:undoc-members: |
|
||||||
:show-inheritance: |
|
||||||
|
|
||||||
PyCTBN.structure\_graph.sample\_path module |
|
||||||
-------------------------------------------- |
|
||||||
|
|
||||||
.. automodule:: PyCTBN.structure_graph.sample_path |
|
||||||
:members: |
|
||||||
:undoc-members: |
|
||||||
:show-inheritance: |
|
||||||
|
|
||||||
PyCTBN.structure\_graph.set\_of\_cims module |
|
||||||
--------------------------------------------- |
|
||||||
|
|
||||||
.. automodule:: PyCTBN.structure_graph.set_of_cims |
|
||||||
:members: |
|
||||||
:undoc-members: |
|
||||||
:show-inheritance: |
|
||||||
|
|
||||||
PyCTBN.structure\_graph.sets\_of\_cims\_container module |
|
||||||
--------------------------------------------------------- |
|
||||||
|
|
||||||
.. automodule:: PyCTBN.structure_graph.sets_of_cims_container |
|
||||||
:members: |
|
||||||
:undoc-members: |
|
||||||
:show-inheritance: |
|
||||||
|
|
||||||
PyCTBN.structure\_graph.structure module |
|
||||||
----------------------------------------- |
|
||||||
|
|
||||||
.. automodule:: PyCTBN.structure_graph.structure |
|
||||||
:members: |
|
||||||
:undoc-members: |
|
||||||
:show-inheritance: |
|
||||||
|
|
||||||
PyCTBN.structure\_graph.trajectory module |
|
||||||
------------------------------------------ |
|
||||||
|
|
||||||
.. automodule:: PyCTBN.structure_graph.trajectory |
|
||||||
:members: |
|
||||||
:undoc-members: |
|
||||||
:show-inheritance: |
|
||||||
|
|
||||||
Module contents |
|
||||||
--------------- |
|
||||||
|
|
||||||
.. automodule:: PyCTBN.structure_graph |
|
||||||
:members: |
|
||||||
:undoc-members: |
|
||||||
:show-inheritance: |
|
||||||
@ -1,53 +0,0 @@ |
|||||||
PyCTBN.utility package |
|
||||||
======================= |
|
||||||
|
|
||||||
Submodules |
|
||||||
---------- |
|
||||||
|
|
||||||
PyCTBN.utility.abstract\_importer module |
|
||||||
----------------------------------------- |
|
||||||
|
|
||||||
.. automodule:: PyCTBN.utility.abstract_importer |
|
||||||
:members: |
|
||||||
:undoc-members: |
|
||||||
:show-inheritance: |
|
||||||
|
|
||||||
PyCTBN.utility.cache module |
|
||||||
---------------------------- |
|
||||||
|
|
||||||
.. automodule:: PyCTBN.utility.cache |
|
||||||
:members: |
|
||||||
:undoc-members: |
|
||||||
:show-inheritance: |
|
||||||
|
|
||||||
PyCTBN.utility.decorators module |
|
||||||
--------------------------------- |
|
||||||
|
|
||||||
.. automodule:: PyCTBN.utility.decorators |
|
||||||
:members: |
|
||||||
:undoc-members: |
|
||||||
:show-inheritance: |
|
||||||
|
|
||||||
PyCTBN.utility.json\_importer module |
|
||||||
------------------------------------- |
|
||||||
|
|
||||||
.. automodule:: PyCTBN.utility.json_importer |
|
||||||
:members: |
|
||||||
:undoc-members: |
|
||||||
:show-inheritance: |
|
||||||
|
|
||||||
PyCTBN.utility.sample\_importer module |
|
||||||
--------------------------------------- |
|
||||||
|
|
||||||
.. automodule:: PyCTBN.utility.sample_importer |
|
||||||
:members: |
|
||||||
:undoc-members: |
|
||||||
:show-inheritance: |
|
||||||
|
|
||||||
Module contents |
|
||||||
--------------- |
|
||||||
|
|
||||||
.. automodule:: PyCTBN.utility |
|
||||||
:members: |
|
||||||
:undoc-members: |
|
||||||
:show-inheritance: |
|
||||||
@ -1,923 +0,0 @@ |
|||||||
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||||||
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||||||
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||||||
<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.1//EN" "http://www.w3.org/TR/xhtml11/DTD/xhtml11.dtd"> |
|
||||||
<html xml:lang="" lang="" version="-//W3C//DTD XHTML 1.1//EN" xmlns="http://www.w3.org/1999/xhtml"> |
|
||||||
<head> |
|
||||||
<meta charset="utf-8"> |
|
||||||
<meta name="viewport" content="width=device-width, initial-scale=1.0"> |
|
||||||
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|
||||||
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|
||||||
<title>Index — PyCTBN 2.0 documentation</title> |
|
||||||
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||||||
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||||||
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||||||
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|
||||||
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<link href='https://fonts.googleapis.com/css?family=Lato:400,700,400italic,700italic|Roboto+Slab:400,700|Inconsolata:400,700' rel='stylesheet' type='text/css'/> |
|
||||||
<link rel="stylesheet" href="_static/css/pdj.css" type="text/css" /> |
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||||||
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||||||
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||||||
<link rel="index" title="Index" |
|
||||||
href="#"/> |
|
||||||
<link rel="search" title="Search" href="search.html"/> |
|
||||||
<link rel="top" title="PyCTBN 2.0 documentation" href="index.html"/> |
|
||||||
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||||||
<meta http-equiv="content-type" content="text/html; charset=utf-8" /> |
|
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<meta http-equiv="cache-control" content="public" /> |
|
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<meta name="robots" content="follow, all" /> |
|
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<meta name="viewport" content="width=device-width, initial-scale=1.0" /> |
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<!-- Add jQuery library --> |
|
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<script type="text/javascript" src="http://code.jquery.com/jquery-latest.min.js"></script> |
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||||||
<script src="https://cdnjs.cloudflare.com/ajax/libs/modernizr/2.6.2/modernizr.min.js"></script> |
|
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||||||
</head> |
|
||||||
|
|
||||||
<body class="wy-body-for-nav" role="document"> |
|
||||||
|
|
||||||
<div class="wy-grid-for-nav"> |
|
||||||
<nav data-toggle="wy-nav-shift" class="wy-nav-side"> |
|
||||||
<div class="wy-side-nav-search"> |
|
||||||
<a href="index.html" class="fa fa-home"> PyCTBN </a> |
|
||||||
<div role="search"> |
|
||||||
<form id ="rtd-search-form" class="wy-form" |
|
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action="search.html" method="get"> |
|
||||||
<input type="text" name="q" placeholder="Search docs" /> |
|
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<input type="hidden" name="check_keywords" value="yes" /> |
|
||||||
<input type="hidden" name="area" value="default" /> |
|
||||||
</form> |
|
||||||
</div> |
|
||||||
</div> |
|
||||||
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|
||||||
<div class="wy-menu wy-menu-vertical" data-spy="affix" role="navigation" aria-label="main navigation"> |
|
||||||
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|
||||||
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|
||||||
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|
||||||
<p class="caption"><span class="caption-text">Contents:</span></p> |
|
||||||
<ul> |
|
||||||
<li class="toctree-l1"><a class="reference internal" href="examples.html">Examples</a><ul> |
|
||||||
<li class="toctree-l2"><a class="reference internal" href="examples.html#installation-usage">Installation/Usage</a></li> |
|
||||||
<li class="toctree-l2"><a class="reference internal" href="examples.html#implementing-your-own-data-importer">Implementing your own data importer</a></li> |
|
||||||
<li class="toctree-l2"><a class="reference internal" href="examples.html#parameters-estimation-example">Parameters Estimation Example</a></li> |
|
||||||
<li class="toctree-l2"><a class="reference internal" href="examples.html#structure-estimation-example">Structure Estimation Example</a></li> |
|
||||||
</ul> |
|
||||||
</li> |
|
||||||
</ul> |
|
||||||
|
|
||||||
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|
||||||
|
|
||||||
|
|
||||||
</div> |
|
||||||
|
|
||||||
</nav> |
|
||||||
<section data-toggle="wy-nav-shift" class="wy-nav-content-wrap"> |
|
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<nav class="wy-nav-top" id="barra-mobile" role="navigation" aria-label="top navigation"> |
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<i data-toggle="wy-nav-top" class="fa fa-bars"></i> |
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<a href="#">Porão do Juca</a> |
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</nav> |
|
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|
||||||
<div class="wy-nav-content"> |
|
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<div class="fundo-claro"> |
|
||||||
</div> |
|
||||||
<div class="fundo-escuro"> |
|
||||||
</div> |
|
||||||
|
|
||||||
<div class="rst-content"> |
|
||||||
<div role="navigation" aria-label="breadcrumbs navigation"> |
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<!-- <ul class="wy-breadcrumbs"> --> |
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<!-- <li><a href="#">Docs</a> »</li> --> |
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<!-- <li>Features</li> --> |
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<!-- <li class="wy-breadcrumbs-aside"> --> |
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<!-- <a href="_sources/index.txt" rel="nofollow"> View page source</a> --> |
|
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|
||||||
<!-- </li> --> |
|
||||||
<!-- </ul> --> |
|
||||||
<!-- <hr/> --> |
|
||||||
</div> |
|
||||||
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|
||||||
<div role="main" class=""> |
|
||||||
|
|
||||||
<div id="content" class="hfeed entry-container hentry"> |
|
||||||
|
|
||||||
<h1 id="index">Index</h1> |
|
||||||
|
|
||||||
<div class="genindex-jumpbox"> |
|
||||||
<a href="#A"><strong>A</strong></a> |
|
||||||
| <a href="#B"><strong>B</strong></a> |
|
||||||
| <a href="#C"><strong>C</strong></a> |
|
||||||
| <a href="#D"><strong>D</strong></a> |
|
||||||
| <a href="#E"><strong>E</strong></a> |
|
||||||
| <a href="#F"><strong>F</strong></a> |
|
||||||
| <a href="#G"><strong>G</strong></a> |
|
||||||
| <a href="#H"><strong>H</strong></a> |
|
||||||
| <a href="#I"><strong>I</strong></a> |
|
||||||
| <a href="#J"><strong>J</strong></a> |
|
||||||
| <a href="#M"><strong>M</strong></a> |
|
||||||
| <a href="#N"><strong>N</strong></a> |
|
||||||
| <a href="#O"><strong>O</strong></a> |
|
||||||
| <a href="#P"><strong>P</strong></a> |
|
||||||
| <a href="#R"><strong>R</strong></a> |
|
||||||
| <a href="#S"><strong>S</strong></a> |
|
||||||
| <a href="#T"><strong>T</strong></a> |
|
||||||
| <a href="#V"><strong>V</strong></a> |
|
||||||
|
|
||||||
</div> |
|
||||||
<h2 id="A">A</h2> |
|
||||||
<table style="width: 100%" class="indextable genindextable"><tr> |
|
||||||
<td style="width: 33%; vertical-align: top;"><ul> |
|
||||||
<li><a href="PyCTBN.utility.html#PyCTBN.utility.abstract_importer.AbstractImporter">AbstractImporter (class in PyCTBN.utility.abstract_importer)</a> |
|
||||||
</li> |
|
||||||
<li><a href="PyCTBN.structure_graph.html#PyCTBN.structure_graph.abstract_sample_path.AbstractSamplePath">AbstractSamplePath (class in PyCTBN.structure_graph.abstract_sample_path)</a> |
|
||||||
</li> |
|
||||||
<li><a href="PyCTBN.structure_graph.html#PyCTBN.structure_graph.set_of_cims.SetOfCims.actual_cims">actual_cims() (PyCTBN.structure_graph.set_of_cims.SetOfCims property)</a> |
|
||||||
</li> |
|
||||||
</ul></td> |
|
||||||
<td style="width: 33%; vertical-align: top;"><ul> |
|
||||||
<li><a href="PyCTBN.structure_graph.html#PyCTBN.structure_graph.structure.Structure.add_edge">add_edge() (PyCTBN.structure_graph.structure.Structure method)</a> |
|
||||||
</li> |
|
||||||
<li><a href="PyCTBN.structure_graph.html#PyCTBN.structure_graph.network_graph.NetworkGraph.add_edges">add_edges() (PyCTBN.structure_graph.network_graph.NetworkGraph method)</a> |
|
||||||
</li> |
|
||||||
<li><a href="PyCTBN.structure_graph.html#PyCTBN.structure_graph.network_graph.NetworkGraph.add_nodes">add_nodes() (PyCTBN.structure_graph.network_graph.NetworkGraph method)</a> |
|
||||||
</li> |
|
||||||
<li><a href="PyCTBN.estimators.html#PyCTBN.estimators.structure_estimator.StructureEstimator.adjacency_matrix">adjacency_matrix() (PyCTBN.estimators.structure_estimator.StructureEstimator method)</a> |
|
||||||
</li> |
|
||||||
</ul></td> |
|
||||||
</tr></table> |
|
||||||
|
|
||||||
<h2 id="B">B</h2> |
|
||||||
<table style="width: 100%" class="indextable genindextable"><tr> |
|
||||||
<td style="width: 33%; vertical-align: top;"><ul> |
|
||||||
<li><a href="PyCTBN.structure_graph.html#PyCTBN.structure_graph.set_of_cims.SetOfCims.build_cims">build_cims() (PyCTBN.structure_graph.set_of_cims.SetOfCims method)</a> |
|
||||||
</li> |
|
||||||
<li><a href="PyCTBN.estimators.html#PyCTBN.estimators.structure_estimator.StructureEstimator.build_complete_graph">build_complete_graph() (PyCTBN.estimators.structure_estimator.StructureEstimator static method)</a> |
|
||||||
</li> |
|
||||||
<li><a href="PyCTBN.utility.html#PyCTBN.utility.abstract_importer.AbstractImporter.build_list_of_samples_array">build_list_of_samples_array() (PyCTBN.utility.abstract_importer.AbstractImporter method)</a> |
|
||||||
</li> |
|
||||||
<li><a href="PyCTBN.structure_graph.html#PyCTBN.structure_graph.network_graph.NetworkGraph.build_p_comb_structure_for_a_node">build_p_comb_structure_for_a_node() (PyCTBN.structure_graph.network_graph.NetworkGraph static method)</a> |
|
||||||
</li> |
|
||||||
<li><a href="PyCTBN.estimators.html#PyCTBN.estimators.structure_estimator.StructureEstimator.build_removable_edges_matrix">build_removable_edges_matrix() (PyCTBN.estimators.structure_estimator.StructureEstimator method)</a> |
|
||||||
</li> |
|
||||||
<li><a href="PyCTBN.utility.html#PyCTBN.utility.abstract_importer.AbstractImporter.build_sorter">build_sorter() (PyCTBN.utility.abstract_importer.AbstractImporter method)</a> |
|
||||||
|
|
||||||
<ul> |
|
||||||
<li><a href="PyCTBN.utility.html#PyCTBN.utility.json_importer.JsonImporter.build_sorter">(PyCTBN.utility.json_importer.JsonImporter method)</a> |
|
||||||
</li> |
|
||||||
<li><a href="PyCTBN.utility.html#PyCTBN.utility.sample_importer.SampleImporter.build_sorter">(PyCTBN.utility.sample_importer.SampleImporter method)</a> |
|
||||||
</li> |
|
||||||
</ul></li> |
|
||||||
</ul></td> |
|
||||||
<td style="width: 33%; vertical-align: top;"><ul> |
|
||||||
<li><a href="PyCTBN.structure_graph.html#PyCTBN.structure_graph.abstract_sample_path.AbstractSamplePath.build_structure">build_structure() (PyCTBN.structure_graph.abstract_sample_path.AbstractSamplePath method)</a> |
|
||||||
|
|
||||||
<ul> |
|
||||||
<li><a href="PyCTBN.structure_graph.html#PyCTBN.structure_graph.sample_path.SamplePath.build_structure">(PyCTBN.structure_graph.sample_path.SamplePath method)</a> |
|
||||||
</li> |
|
||||||
</ul></li> |
|
||||||
<li><a href="PyCTBN.structure_graph.html#PyCTBN.structure_graph.network_graph.NetworkGraph.build_time_columns_filtering_for_a_node">build_time_columns_filtering_for_a_node() (PyCTBN.structure_graph.network_graph.NetworkGraph static method)</a> |
|
||||||
</li> |
|
||||||
<li><a href="PyCTBN.structure_graph.html#PyCTBN.structure_graph.network_graph.NetworkGraph.build_time_scalar_indexing_structure_for_a_node">build_time_scalar_indexing_structure_for_a_node() (PyCTBN.structure_graph.network_graph.NetworkGraph static method)</a> |
|
||||||
</li> |
|
||||||
<li><a href="PyCTBN.structure_graph.html#PyCTBN.structure_graph.set_of_cims.SetOfCims.build_times_and_transitions_structures">build_times_and_transitions_structures() (PyCTBN.structure_graph.set_of_cims.SetOfCims method)</a> |
|
||||||
</li> |
|
||||||
<li><a href="PyCTBN.structure_graph.html#PyCTBN.structure_graph.abstract_sample_path.AbstractSamplePath.build_trajectories">build_trajectories() (PyCTBN.structure_graph.abstract_sample_path.AbstractSamplePath method)</a> |
|
||||||
|
|
||||||
<ul> |
|
||||||
<li><a href="PyCTBN.structure_graph.html#PyCTBN.structure_graph.sample_path.SamplePath.build_trajectories">(PyCTBN.structure_graph.sample_path.SamplePath method)</a> |
|
||||||
</li> |
|
||||||
</ul></li> |
|
||||||
<li><a href="PyCTBN.structure_graph.html#PyCTBN.structure_graph.network_graph.NetworkGraph.build_transition_filtering_for_a_node">build_transition_filtering_for_a_node() (PyCTBN.structure_graph.network_graph.NetworkGraph static method)</a> |
|
||||||
</li> |
|
||||||
<li><a href="PyCTBN.structure_graph.html#PyCTBN.structure_graph.network_graph.NetworkGraph.build_transition_scalar_indexing_structure_for_a_node">build_transition_scalar_indexing_structure_for_a_node() (PyCTBN.structure_graph.network_graph.NetworkGraph static method)</a> |
|
||||||
</li> |
|
||||||
</ul></td> |
|
||||||
</tr></table> |
|
||||||
|
|
||||||
<h2 id="C">C</h2> |
|
||||||
<table style="width: 100%" class="indextable genindextable"><tr> |
|
||||||
<td style="width: 33%; vertical-align: top;"><ul> |
|
||||||
<li><a href="PyCTBN.utility.html#PyCTBN.utility.cache.Cache">Cache (class in PyCTBN.utility.cache)</a> |
|
||||||
</li> |
|
||||||
<li><a href="PyCTBN.structure_graph.html#PyCTBN.structure_graph.conditional_intensity_matrix.ConditionalIntensityMatrix.cim">cim() (PyCTBN.structure_graph.conditional_intensity_matrix.ConditionalIntensityMatrix property)</a> |
|
||||||
</li> |
|
||||||
<li> |
|
||||||
PyCTBN |
|
||||||
|
|
||||||
<ul> |
|
||||||
<li><a href="PyCTBN.html#module-PyCTBN">module</a> |
|
||||||
</li> |
|
||||||
</ul></li> |
|
||||||
<li> |
|
||||||
PyCTBN.estimators |
|
||||||
|
|
||||||
<ul> |
|
||||||
<li><a href="PyCTBN.estimators.html#module-PyCTBN.estimators">module</a> |
|
||||||
</li> |
|
||||||
</ul></li> |
|
||||||
<li> |
|
||||||
PyCTBN.estimators.fam_score_calculator |
|
||||||
|
|
||||||
<ul> |
|
||||||
<li><a href="PyCTBN.estimators.html#module-PyCTBN.estimators.fam_score_calculator">module</a> |
|
||||||
</li> |
|
||||||
</ul></li> |
|
||||||
<li> |
|
||||||
PyCTBN.estimators.parameters_estimator |
|
||||||
|
|
||||||
<ul> |
|
||||||
<li><a href="PyCTBN.estimators.html#module-PyCTBN.estimators.parameters_estimator">module</a> |
|
||||||
</li> |
|
||||||
</ul></li> |
|
||||||
<li> |
|
||||||
PyCTBN.estimators.structure_constraint_based_estimator |
|
||||||
|
|
||||||
<ul> |
|
||||||
<li><a href="PyCTBN.estimators.html#module-PyCTBN.estimators.structure_constraint_based_estimator">module</a> |
|
||||||
</li> |
|
||||||
</ul></li> |
|
||||||
<li> |
|
||||||
PyCTBN.estimators.structure_estimator |
|
||||||
|
|
||||||
<ul> |
|
||||||
<li><a href="PyCTBN.estimators.html#module-PyCTBN.estimators.structure_estimator">module</a> |
|
||||||
</li> |
|
||||||
</ul></li> |
|
||||||
<li> |
|
||||||
PyCTBN.estimators.structure_score_based_estimator |
|
||||||
|
|
||||||
<ul> |
|
||||||
<li><a href="PyCTBN.estimators.html#module-PyCTBN.estimators.structure_score_based_estimator">module</a> |
|
||||||
</li> |
|
||||||
</ul></li> |
|
||||||
<li> |
|
||||||
PyCTBN.optimizers |
|
||||||
|
|
||||||
<ul> |
|
||||||
<li><a href="PyCTBN.optimizers.html#module-PyCTBN.optimizers">module</a> |
|
||||||
</li> |
|
||||||
</ul></li> |
|
||||||
<li> |
|
||||||
PyCTBN.optimizers.constraint_based_optimizer |
|
||||||
|
|
||||||
<ul> |
|
||||||
<li><a href="PyCTBN.optimizers.html#module-PyCTBN.optimizers.constraint_based_optimizer">module</a> |
|
||||||
</li> |
|
||||||
</ul></li> |
|
||||||
<li> |
|
||||||
PyCTBN.optimizers.hill_climbing_search |
|
||||||
|
|
||||||
<ul> |
|
||||||
<li><a href="PyCTBN.optimizers.html#module-PyCTBN.optimizers.hill_climbing_search">module</a> |
|
||||||
</li> |
|
||||||
</ul></li> |
|
||||||
<li> |
|
||||||
PyCTBN.optimizers.optimizer |
|
||||||
|
|
||||||
<ul> |
|
||||||
<li><a href="PyCTBN.optimizers.html#module-PyCTBN.optimizers.optimizer">module</a> |
|
||||||
</li> |
|
||||||
</ul></li> |
|
||||||
<li> |
|
||||||
PyCTBN.optimizers.tabu_search |
|
||||||
|
|
||||||
<ul> |
|
||||||
<li><a href="PyCTBN.optimizers.html#module-PyCTBN.optimizers.tabu_search">module</a> |
|
||||||
</li> |
|
||||||
</ul></li> |
|
||||||
<li> |
|
||||||
PyCTBN.structure_graph |
|
||||||
|
|
||||||
<ul> |
|
||||||
<li><a href="PyCTBN.structure_graph.html#module-PyCTBN.structure_graph">module</a> |
|
||||||
</li> |
|
||||||
</ul></li> |
|
||||||
<li> |
|
||||||
PyCTBN.structure_graph.abstract_sample_path |
|
||||||
|
|
||||||
<ul> |
|
||||||
<li><a href="PyCTBN.structure_graph.html#module-PyCTBN.structure_graph.abstract_sample_path">module</a> |
|
||||||
</li> |
|
||||||
</ul></li> |
|
||||||
<li> |
|
||||||
PyCTBN.structure_graph.conditional_intensity_matrix |
|
||||||
|
|
||||||
<ul> |
|
||||||
<li><a href="PyCTBN.structure_graph.html#module-PyCTBN.structure_graph.conditional_intensity_matrix">module</a> |
|
||||||
</li> |
|
||||||
</ul></li> |
|
||||||
<li> |
|
||||||
PyCTBN.structure_graph.network_graph |
|
||||||
|
|
||||||
<ul> |
|
||||||
<li><a href="PyCTBN.structure_graph.html#module-PyCTBN.structure_graph.network_graph">module</a> |
|
||||||
</li> |
|
||||||
</ul></li> |
|
||||||
<li> |
|
||||||
PyCTBN.structure_graph.sample_path |
|
||||||
|
|
||||||
<ul> |
|
||||||
<li><a href="PyCTBN.structure_graph.html#module-PyCTBN.structure_graph.sample_path">module</a> |
|
||||||
</li> |
|
||||||
</ul></li> |
|
||||||
<li> |
|
||||||
PyCTBN.structure_graph.set_of_cims |
|
||||||
|
|
||||||
<ul> |
|
||||||
<li><a href="PyCTBN.structure_graph.html#module-PyCTBN.structure_graph.set_of_cims">module</a> |
|
||||||
</li> |
|
||||||
</ul></li> |
|
||||||
</ul></td> |
|
||||||
<td style="width: 33%; vertical-align: top;"><ul> |
|
||||||
<li> |
|
||||||
PyCTBN.structure_graph.sets_of_cims_container |
|
||||||
|
|
||||||
<ul> |
|
||||||
<li><a href="PyCTBN.structure_graph.html#module-PyCTBN.structure_graph.sets_of_cims_container">module</a> |
|
||||||
</li> |
|
||||||
</ul></li> |
|
||||||
<li> |
|
||||||
PyCTBN.structure_graph.structure |
|
||||||
|
|
||||||
<ul> |
|
||||||
<li><a href="PyCTBN.structure_graph.html#module-PyCTBN.structure_graph.structure">module</a> |
|
||||||
</li> |
|
||||||
</ul></li> |
|
||||||
<li> |
|
||||||
PyCTBN.structure_graph.trajectory |
|
||||||
|
|
||||||
<ul> |
|
||||||
<li><a href="PyCTBN.structure_graph.html#module-PyCTBN.structure_graph.trajectory">module</a> |
|
||||||
</li> |
|
||||||
</ul></li> |
|
||||||
<li> |
|
||||||
PyCTBN.utility |
|
||||||
|
|
||||||
<ul> |
|
||||||
<li><a href="PyCTBN.utility.html#module-PyCTBN.utility">module</a> |
|
||||||
</li> |
|
||||||
</ul></li> |
|
||||||
<li> |
|
||||||
PyCTBN.utility.abstract_importer |
|
||||||
|
|
||||||
<ul> |
|
||||||
<li><a href="PyCTBN.utility.html#module-PyCTBN.utility.abstract_importer">module</a> |
|
||||||
</li> |
|
||||||
</ul></li> |
|
||||||
<li> |
|
||||||
PyCTBN.utility.cache |
|
||||||
|
|
||||||
<ul> |
|
||||||
<li><a href="PyCTBN.utility.html#module-PyCTBN.utility.cache">module</a> |
|
||||||
</li> |
|
||||||
</ul></li> |
|
||||||
<li> |
|
||||||
PyCTBN.utility.decorators |
|
||||||
|
|
||||||
<ul> |
|
||||||
<li><a href="PyCTBN.utility.html#module-PyCTBN.utility.decorators">module</a> |
|
||||||
</li> |
|
||||||
</ul></li> |
|
||||||
<li> |
|
||||||
PyCTBN.utility.json_importer |
|
||||||
|
|
||||||
<ul> |
|
||||||
<li><a href="PyCTBN.utility.html#module-PyCTBN.utility.json_importer">module</a> |
|
||||||
</li> |
|
||||||
</ul></li> |
|
||||||
<li> |
|
||||||
PyCTBN.utility.sample_importer |
|
||||||
|
|
||||||
<ul> |
|
||||||
<li><a href="PyCTBN.utility.html#module-PyCTBN.utility.sample_importer">module</a> |
|
||||||
</li> |
|
||||||
</ul></li> |
|
||||||
<li><a href="PyCTBN.structure_graph.html#PyCTBN.structure_graph.structure.Structure.clean_structure_edges">clean_structure_edges() (PyCTBN.structure_graph.structure.Structure method)</a> |
|
||||||
</li> |
|
||||||
<li><a href="PyCTBN.utility.html#PyCTBN.utility.cache.Cache.clear">clear() (PyCTBN.utility.cache.Cache method)</a> |
|
||||||
</li> |
|
||||||
<li><a href="PyCTBN.utility.html#PyCTBN.utility.abstract_importer.AbstractImporter.clear_concatenated_frame">clear_concatenated_frame() (PyCTBN.utility.abstract_importer.AbstractImporter method)</a> |
|
||||||
</li> |
|
||||||
<li><a href="PyCTBN.utility.html#PyCTBN.utility.json_importer.JsonImporter.clear_data_frame_list">clear_data_frame_list() (PyCTBN.utility.json_importer.JsonImporter method)</a> |
|
||||||
</li> |
|
||||||
<li><a href="PyCTBN.structure_graph.html#PyCTBN.structure_graph.network_graph.NetworkGraph.clear_indexing_filtering_structures">clear_indexing_filtering_structures() (PyCTBN.structure_graph.network_graph.NetworkGraph method)</a> |
|
||||||
</li> |
|
||||||
<li><a href="PyCTBN.structure_graph.html#PyCTBN.structure_graph.sample_path.SamplePath.clear_memory">clear_memory() (PyCTBN.structure_graph.sample_path.SamplePath method)</a> |
|
||||||
</li> |
|
||||||
<li><a href="PyCTBN.estimators.html#PyCTBN.estimators.structure_constraint_based_estimator.StructureConstraintBasedEstimator.complete_test">complete_test() (PyCTBN.estimators.structure_constraint_based_estimator.StructureConstraintBasedEstimator method)</a> |
|
||||||
</li> |
|
||||||
<li><a href="PyCTBN.structure_graph.html#PyCTBN.structure_graph.trajectory.Trajectory.complete_trajectory">complete_trajectory() (PyCTBN.structure_graph.trajectory.Trajectory property)</a> |
|
||||||
</li> |
|
||||||
<li><a href="PyCTBN.structure_graph.html#PyCTBN.structure_graph.conditional_intensity_matrix.ConditionalIntensityMatrix.compute_cim_coefficients">compute_cim_coefficients() (PyCTBN.structure_graph.conditional_intensity_matrix.ConditionalIntensityMatrix method)</a> |
|
||||||
</li> |
|
||||||
<li><a href="PyCTBN.estimators.html#PyCTBN.estimators.parameters_estimator.ParametersEstimator.compute_parameters">compute_parameters() (PyCTBN.estimators.parameters_estimator.ParametersEstimator method)</a> |
|
||||||
</li> |
|
||||||
<li><a href="PyCTBN.estimators.html#PyCTBN.estimators.parameters_estimator.ParametersEstimator.compute_parameters_for_node">compute_parameters_for_node() (PyCTBN.estimators.parameters_estimator.ParametersEstimator method)</a> |
|
||||||
</li> |
|
||||||
<li><a href="PyCTBN.utility.html#PyCTBN.utility.abstract_importer.AbstractImporter.compute_row_delta_in_all_samples_frames">compute_row_delta_in_all_samples_frames() (PyCTBN.utility.abstract_importer.AbstractImporter method)</a> |
|
||||||
</li> |
|
||||||
<li><a href="PyCTBN.utility.html#PyCTBN.utility.abstract_importer.AbstractImporter.compute_row_delta_sigle_samples_frame">compute_row_delta_sigle_samples_frame() (PyCTBN.utility.abstract_importer.AbstractImporter method)</a> |
|
||||||
</li> |
|
||||||
<li><a href="PyCTBN.estimators.html#PyCTBN.estimators.parameters_estimator.ParametersEstimator.compute_state_res_time_for_node">compute_state_res_time_for_node() (PyCTBN.estimators.parameters_estimator.ParametersEstimator static method)</a> |
|
||||||
</li> |
|
||||||
<li><a href="PyCTBN.estimators.html#PyCTBN.estimators.parameters_estimator.ParametersEstimator.compute_state_transitions_for_a_node">compute_state_transitions_for_a_node() (PyCTBN.estimators.parameters_estimator.ParametersEstimator static method)</a> |
|
||||||
</li> |
|
||||||
<li><a href="PyCTBN.estimators.html#PyCTBN.estimators.structure_constraint_based_estimator.StructureConstraintBasedEstimator.compute_thumb_value">compute_thumb_value() (PyCTBN.estimators.structure_constraint_based_estimator.StructureConstraintBasedEstimator method)</a> |
|
||||||
</li> |
|
||||||
<li><a href="PyCTBN.utility.html#PyCTBN.utility.abstract_importer.AbstractImporter.concatenated_samples">concatenated_samples() (PyCTBN.utility.abstract_importer.AbstractImporter property)</a> |
|
||||||
</li> |
|
||||||
<li><a href="PyCTBN.structure_graph.html#PyCTBN.structure_graph.conditional_intensity_matrix.ConditionalIntensityMatrix">ConditionalIntensityMatrix (class in PyCTBN.structure_graph.conditional_intensity_matrix)</a> |
|
||||||
</li> |
|
||||||
<li><a href="PyCTBN.optimizers.html#PyCTBN.optimizers.constraint_based_optimizer.ConstraintBasedOptimizer">ConstraintBasedOptimizer (class in PyCTBN.optimizers.constraint_based_optimizer)</a> |
|
||||||
</li> |
|
||||||
<li><a href="PyCTBN.structure_graph.html#PyCTBN.structure_graph.structure.Structure.contains_edge">contains_edge() (PyCTBN.structure_graph.structure.Structure method)</a> |
|
||||||
</li> |
|
||||||
<li><a href="PyCTBN.estimators.html#PyCTBN.estimators.structure_constraint_based_estimator.StructureConstraintBasedEstimator.ctpc_algorithm">ctpc_algorithm() (PyCTBN.estimators.structure_constraint_based_estimator.StructureConstraintBasedEstimator method)</a> |
|
||||||
</li> |
|
||||||
</ul></td> |
|
||||||
</tr></table> |
|
||||||
|
|
||||||
<h2 id="D">D</h2> |
|
||||||
<table style="width: 100%" class="indextable genindextable"><tr> |
|
||||||
<td style="width: 33%; vertical-align: top;"><ul> |
|
||||||
<li><a href="PyCTBN.utility.html#PyCTBN.utility.abstract_importer.AbstractImporter.dataset_id">dataset_id() (PyCTBN.utility.abstract_importer.AbstractImporter method)</a> |
|
||||||
|
|
||||||
<ul> |
|
||||||
<li><a href="PyCTBN.utility.html#PyCTBN.utility.json_importer.JsonImporter.dataset_id">(PyCTBN.utility.json_importer.JsonImporter method)</a> |
|
||||||
</li> |
|
||||||
<li><a href="PyCTBN.utility.html#PyCTBN.utility.sample_importer.SampleImporter.dataset_id">(PyCTBN.utility.sample_importer.SampleImporter method)</a> |
|
||||||
</li> |
|
||||||
</ul></li> |
|
||||||
</ul></td> |
|
||||||
</tr></table> |
|
||||||
|
|
||||||
<h2 id="E">E</h2> |
|
||||||
<table style="width: 100%" class="indextable genindextable"><tr> |
|
||||||
<td style="width: 33%; vertical-align: top;"><ul> |
|
||||||
<li><a href="PyCTBN.structure_graph.html#PyCTBN.structure_graph.network_graph.NetworkGraph.edges">edges() (PyCTBN.structure_graph.network_graph.NetworkGraph property)</a> |
|
||||||
|
|
||||||
<ul> |
|
||||||
<li><a href="PyCTBN.structure_graph.html#PyCTBN.structure_graph.structure.Structure.edges">(PyCTBN.structure_graph.structure.Structure property)</a> |
|
||||||
</li> |
|
||||||
</ul></li> |
|
||||||
<li><a href="PyCTBN.estimators.html#PyCTBN.estimators.structure_score_based_estimator.StructureScoreBasedEstimator.estimate_parents">estimate_parents() (PyCTBN.estimators.structure_score_based_estimator.StructureScoreBasedEstimator method)</a> |
|
||||||
</li> |
|
||||||
</ul></td> |
|
||||||
<td style="width: 33%; vertical-align: top;"><ul> |
|
||||||
<li><a href="PyCTBN.estimators.html#PyCTBN.estimators.structure_constraint_based_estimator.StructureConstraintBasedEstimator.estimate_structure">estimate_structure() (PyCTBN.estimators.structure_constraint_based_estimator.StructureConstraintBasedEstimator method)</a> |
|
||||||
|
|
||||||
<ul> |
|
||||||
<li><a href="PyCTBN.estimators.html#PyCTBN.estimators.structure_estimator.StructureEstimator.estimate_structure">(PyCTBN.estimators.structure_estimator.StructureEstimator method)</a> |
|
||||||
</li> |
|
||||||
<li><a href="PyCTBN.estimators.html#PyCTBN.estimators.structure_score_based_estimator.StructureScoreBasedEstimator.estimate_structure">(PyCTBN.estimators.structure_score_based_estimator.StructureScoreBasedEstimator method)</a> |
|
||||||
</li> |
|
||||||
</ul></li> |
|
||||||
</ul></td> |
|
||||||
</tr></table> |
|
||||||
|
|
||||||
<h2 id="F">F</h2> |
|
||||||
<table style="width: 100%" class="indextable genindextable"><tr> |
|
||||||
<td style="width: 33%; vertical-align: top;"><ul> |
|
||||||
<li><a href="PyCTBN.estimators.html#PyCTBN.estimators.fam_score_calculator.FamScoreCalculator">FamScoreCalculator (class in PyCTBN.estimators.fam_score_calculator)</a> |
|
||||||
</li> |
|
||||||
<li><a href="PyCTBN.estimators.html#PyCTBN.estimators.parameters_estimator.ParametersEstimator.fast_init">fast_init() (PyCTBN.estimators.parameters_estimator.ParametersEstimator method)</a> |
|
||||||
|
|
||||||
<ul> |
|
||||||
<li><a href="PyCTBN.structure_graph.html#PyCTBN.structure_graph.network_graph.NetworkGraph.fast_init">(PyCTBN.structure_graph.network_graph.NetworkGraph method)</a> |
|
||||||
</li> |
|
||||||
</ul></li> |
|
||||||
</ul></td> |
|
||||||
<td style="width: 33%; vertical-align: top;"><ul> |
|
||||||
<li><a href="PyCTBN.utility.html#PyCTBN.utility.abstract_importer.AbstractImporter.file_path">file_path() (PyCTBN.utility.abstract_importer.AbstractImporter property)</a> |
|
||||||
</li> |
|
||||||
<li><a href="PyCTBN.structure_graph.html#PyCTBN.structure_graph.set_of_cims.SetOfCims.filter_cims_with_mask">filter_cims_with_mask() (PyCTBN.structure_graph.set_of_cims.SetOfCims method)</a> |
|
||||||
</li> |
|
||||||
<li><a href="PyCTBN.utility.html#PyCTBN.utility.cache.Cache.find">find() (PyCTBN.utility.cache.Cache method)</a> |
|
||||||
</li> |
|
||||||
</ul></td> |
|
||||||
</tr></table> |
|
||||||
|
|
||||||
<h2 id="G">G</h2> |
|
||||||
<table style="width: 100%" class="indextable genindextable"><tr> |
|
||||||
<td style="width: 33%; vertical-align: top;"><ul> |
|
||||||
<li><a href="PyCTBN.estimators.html#PyCTBN.estimators.structure_estimator.StructureEstimator.generate_possible_sub_sets_of_size">generate_possible_sub_sets_of_size() (PyCTBN.estimators.structure_estimator.StructureEstimator static method)</a> |
|
||||||
</li> |
|
||||||
<li><a href="PyCTBN.structure_graph.html#PyCTBN.structure_graph.set_of_cims.SetOfCims.get_cims_number">get_cims_number() (PyCTBN.structure_graph.set_of_cims.SetOfCims method)</a> |
|
||||||
</li> |
|
||||||
<li><a href="PyCTBN.structure_graph.html#PyCTBN.structure_graph.sets_of_cims_container.SetsOfCimsContainer.get_cims_of_node">get_cims_of_node() (PyCTBN.structure_graph.sets_of_cims_container.SetsOfCimsContainer method)</a> |
|
||||||
</li> |
|
||||||
<li><a href="PyCTBN.estimators.html#PyCTBN.estimators.fam_score_calculator.FamScoreCalculator.get_fam_score">get_fam_score() (PyCTBN.estimators.fam_score_calculator.FamScoreCalculator method)</a> |
|
||||||
</li> |
|
||||||
<li><a href="PyCTBN.structure_graph.html#PyCTBN.structure_graph.structure.Structure.get_node_id">get_node_id() (PyCTBN.structure_graph.structure.Structure method)</a> |
|
||||||
</li> |
|
||||||
<li><a href="PyCTBN.structure_graph.html#PyCTBN.structure_graph.network_graph.NetworkGraph.get_node_indx">get_node_indx() (PyCTBN.structure_graph.network_graph.NetworkGraph method)</a> |
|
||||||
|
|
||||||
<ul> |
|
||||||
<li><a href="PyCTBN.structure_graph.html#PyCTBN.structure_graph.structure.Structure.get_node_indx">(PyCTBN.structure_graph.structure.Structure method)</a> |
|
||||||
</li> |
|
||||||
</ul></li> |
|
||||||
</ul></td> |
|
||||||
<td style="width: 33%; vertical-align: top;"><ul> |
|
||||||
<li><a href="PyCTBN.structure_graph.html#PyCTBN.structure_graph.network_graph.NetworkGraph.get_ordered_by_indx_set_of_parents">get_ordered_by_indx_set_of_parents() (PyCTBN.structure_graph.network_graph.NetworkGraph method)</a> |
|
||||||
</li> |
|
||||||
<li><a href="PyCTBN.structure_graph.html#PyCTBN.structure_graph.network_graph.NetworkGraph.get_parents_by_id">get_parents_by_id() (PyCTBN.structure_graph.network_graph.NetworkGraph method)</a> |
|
||||||
</li> |
|
||||||
<li><a href="PyCTBN.structure_graph.html#PyCTBN.structure_graph.network_graph.NetworkGraph.get_positional_node_indx">get_positional_node_indx() (PyCTBN.structure_graph.network_graph.NetworkGraph method)</a> |
|
||||||
|
|
||||||
<ul> |
|
||||||
<li><a href="PyCTBN.structure_graph.html#PyCTBN.structure_graph.structure.Structure.get_positional_node_indx">(PyCTBN.structure_graph.structure.Structure method)</a> |
|
||||||
</li> |
|
||||||
</ul></li> |
|
||||||
<li><a href="PyCTBN.estimators.html#PyCTBN.estimators.structure_score_based_estimator.StructureScoreBasedEstimator.get_score_from_graph">get_score_from_graph() (PyCTBN.estimators.structure_score_based_estimator.StructureScoreBasedEstimator method)</a> |
|
||||||
</li> |
|
||||||
<li><a href="PyCTBN.structure_graph.html#PyCTBN.structure_graph.sets_of_cims_container.SetsOfCimsContainer.get_set_of_cims">get_set_of_cims() (PyCTBN.structure_graph.sets_of_cims_container.SetsOfCimsContainer method)</a> |
|
||||||
</li> |
|
||||||
<li><a href="PyCTBN.structure_graph.html#PyCTBN.structure_graph.network_graph.NetworkGraph.get_states_number">get_states_number() (PyCTBN.structure_graph.network_graph.NetworkGraph method)</a> |
|
||||||
|
|
||||||
<ul> |
|
||||||
<li><a href="PyCTBN.structure_graph.html#PyCTBN.structure_graph.structure.Structure.get_states_number">(PyCTBN.structure_graph.structure.Structure method)</a> |
|
||||||
</li> |
|
||||||
</ul></li> |
|
||||||
</ul></td> |
|
||||||
</tr></table> |
|
||||||
|
|
||||||
<h2 id="H">H</h2> |
|
||||||
<table style="width: 100%" class="indextable genindextable"><tr> |
|
||||||
<td style="width: 33%; vertical-align: top;"><ul> |
|
||||||
<li><a href="PyCTBN.structure_graph.html#PyCTBN.structure_graph.network_graph.NetworkGraph.has_edge">has_edge() (PyCTBN.structure_graph.network_graph.NetworkGraph method)</a> |
|
||||||
</li> |
|
||||||
</ul></td> |
|
||||||
<td style="width: 33%; vertical-align: top;"><ul> |
|
||||||
<li><a href="PyCTBN.structure_graph.html#PyCTBN.structure_graph.sample_path.SamplePath.has_prior_net_structure">has_prior_net_structure() (PyCTBN.structure_graph.sample_path.SamplePath property)</a> |
|
||||||
</li> |
|
||||||
<li><a href="PyCTBN.optimizers.html#PyCTBN.optimizers.hill_climbing_search.HillClimbing">HillClimbing (class in PyCTBN.optimizers.hill_climbing_search)</a> |
|
||||||
</li> |
|
||||||
</ul></td> |
|
||||||
</tr></table> |
|
||||||
|
|
||||||
<h2 id="I">I</h2> |
|
||||||
<table style="width: 100%" class="indextable genindextable"><tr> |
|
||||||
<td style="width: 33%; vertical-align: top;"><ul> |
|
||||||
<li><a href="PyCTBN.utility.html#PyCTBN.utility.json_importer.JsonImporter.import_data">import_data() (PyCTBN.utility.json_importer.JsonImporter method)</a> |
|
||||||
|
|
||||||
<ul> |
|
||||||
<li><a href="PyCTBN.utility.html#PyCTBN.utility.sample_importer.SampleImporter.import_data">(PyCTBN.utility.sample_importer.SampleImporter method)</a> |
|
||||||
</li> |
|
||||||
</ul></li> |
|
||||||
<li><a href="PyCTBN.utility.html#PyCTBN.utility.json_importer.JsonImporter.import_sampled_cims">import_sampled_cims() (PyCTBN.utility.json_importer.JsonImporter method)</a> |
|
||||||
</li> |
|
||||||
<li><a href="PyCTBN.utility.html#PyCTBN.utility.json_importer.JsonImporter.import_structure">import_structure() (PyCTBN.utility.json_importer.JsonImporter method)</a> |
|
||||||
</li> |
|
||||||
<li><a href="PyCTBN.utility.html#PyCTBN.utility.json_importer.JsonImporter.import_trajectories">import_trajectories() (PyCTBN.utility.json_importer.JsonImporter method)</a> |
|
||||||
</li> |
|
||||||
</ul></td> |
|
||||||
<td style="width: 33%; vertical-align: top;"><ul> |
|
||||||
<li><a href="PyCTBN.utility.html#PyCTBN.utility.json_importer.JsonImporter.import_variables">import_variables() (PyCTBN.utility.json_importer.JsonImporter method)</a> |
|
||||||
</li> |
|
||||||
<li><a href="PyCTBN.estimators.html#PyCTBN.estimators.structure_constraint_based_estimator.StructureConstraintBasedEstimator.independence_test">independence_test() (PyCTBN.estimators.structure_constraint_based_estimator.StructureConstraintBasedEstimator method)</a> |
|
||||||
</li> |
|
||||||
<li><a href="PyCTBN.structure_graph.html#PyCTBN.structure_graph.sets_of_cims_container.SetsOfCimsContainer.init_cims_structure">init_cims_structure() (PyCTBN.structure_graph.sets_of_cims_container.SetsOfCimsContainer method)</a> |
|
||||||
</li> |
|
||||||
<li><a href="PyCTBN.structure_graph.html#PyCTBN.structure_graph.network_graph.NetworkGraph.init_graph">init_graph() (PyCTBN.structure_graph.network_graph.NetworkGraph method)</a> |
|
||||||
</li> |
|
||||||
<li><a href="PyCTBN.estimators.html#PyCTBN.estimators.parameters_estimator.ParametersEstimator.init_sets_cims_container">init_sets_cims_container() (PyCTBN.estimators.parameters_estimator.ParametersEstimator method)</a> |
|
||||||
</li> |
|
||||||
</ul></td> |
|
||||||
</tr></table> |
|
||||||
|
|
||||||
<h2 id="J">J</h2> |
|
||||||
<table style="width: 100%" class="indextable genindextable"><tr> |
|
||||||
<td style="width: 33%; vertical-align: top;"><ul> |
|
||||||
<li><a href="PyCTBN.utility.html#PyCTBN.utility.json_importer.JsonImporter">JsonImporter (class in PyCTBN.utility.json_importer)</a> |
|
||||||
</li> |
|
||||||
</ul></td> |
|
||||||
</tr></table> |
|
||||||
|
|
||||||
<h2 id="M">M</h2> |
|
||||||
<table style="width: 100%" class="indextable genindextable"><tr> |
|
||||||
<td style="width: 33%; vertical-align: top;"><ul> |
|
||||||
<li><a href="PyCTBN.estimators.html#PyCTBN.estimators.fam_score_calculator.FamScoreCalculator.marginal_likelihood_q">marginal_likelihood_q() (PyCTBN.estimators.fam_score_calculator.FamScoreCalculator method)</a> |
|
||||||
</li> |
|
||||||
<li><a href="PyCTBN.estimators.html#PyCTBN.estimators.fam_score_calculator.FamScoreCalculator.marginal_likelihood_theta">marginal_likelihood_theta() (PyCTBN.estimators.fam_score_calculator.FamScoreCalculator method)</a> |
|
||||||
</li> |
|
||||||
<li> |
|
||||||
module |
|
||||||
|
|
||||||
<ul> |
|
||||||
<li><a href="PyCTBN.html#module-PyCTBN">PyCTBN</a> |
|
||||||
</li> |
|
||||||
<li><a href="PyCTBN.estimators.html#module-PyCTBN.estimators">PyCTBN.estimators</a> |
|
||||||
</li> |
|
||||||
<li><a href="PyCTBN.estimators.html#module-PyCTBN.estimators.fam_score_calculator">PyCTBN.estimators.fam_score_calculator</a> |
|
||||||
</li> |
|
||||||
<li><a href="PyCTBN.estimators.html#module-PyCTBN.estimators.parameters_estimator">PyCTBN.estimators.parameters_estimator</a> |
|
||||||
</li> |
|
||||||
<li><a href="PyCTBN.estimators.html#module-PyCTBN.estimators.structure_constraint_based_estimator">PyCTBN.estimators.structure_constraint_based_estimator</a> |
|
||||||
</li> |
|
||||||
<li><a href="PyCTBN.estimators.html#module-PyCTBN.estimators.structure_estimator">PyCTBN.estimators.structure_estimator</a> |
|
||||||
</li> |
|
||||||
<li><a href="PyCTBN.estimators.html#module-PyCTBN.estimators.structure_score_based_estimator">PyCTBN.estimators.structure_score_based_estimator</a> |
|
||||||
</li> |
|
||||||
<li><a href="PyCTBN.optimizers.html#module-PyCTBN.optimizers">PyCTBN.optimizers</a> |
|
||||||
</li> |
|
||||||
<li><a href="PyCTBN.optimizers.html#module-PyCTBN.optimizers.constraint_based_optimizer">PyCTBN.optimizers.constraint_based_optimizer</a> |
|
||||||
</li> |
|
||||||
<li><a href="PyCTBN.optimizers.html#module-PyCTBN.optimizers.hill_climbing_search">PyCTBN.optimizers.hill_climbing_search</a> |
|
||||||
</li> |
|
||||||
<li><a href="PyCTBN.optimizers.html#module-PyCTBN.optimizers.optimizer">PyCTBN.optimizers.optimizer</a> |
|
||||||
</li> |
|
||||||
<li><a href="PyCTBN.optimizers.html#module-PyCTBN.optimizers.tabu_search">PyCTBN.optimizers.tabu_search</a> |
|
||||||
</li> |
|
||||||
<li><a href="PyCTBN.structure_graph.html#module-PyCTBN.structure_graph">PyCTBN.structure_graph</a> |
|
||||||
</li> |
|
||||||
<li><a href="PyCTBN.structure_graph.html#module-PyCTBN.structure_graph.abstract_sample_path">PyCTBN.structure_graph.abstract_sample_path</a> |
|
||||||
</li> |
|
||||||
<li><a href="PyCTBN.structure_graph.html#module-PyCTBN.structure_graph.conditional_intensity_matrix">PyCTBN.structure_graph.conditional_intensity_matrix</a> |
|
||||||
</li> |
|
||||||
<li><a href="PyCTBN.structure_graph.html#module-PyCTBN.structure_graph.network_graph">PyCTBN.structure_graph.network_graph</a> |
|
||||||
</li> |
|
||||||
<li><a href="PyCTBN.structure_graph.html#module-PyCTBN.structure_graph.sample_path">PyCTBN.structure_graph.sample_path</a> |
|
||||||
</li> |
|
||||||
<li><a href="PyCTBN.structure_graph.html#module-PyCTBN.structure_graph.set_of_cims">PyCTBN.structure_graph.set_of_cims</a> |
|
||||||
</li> |
|
||||||
<li><a href="PyCTBN.structure_graph.html#module-PyCTBN.structure_graph.sets_of_cims_container">PyCTBN.structure_graph.sets_of_cims_container</a> |
|
||||||
</li> |
|
||||||
<li><a href="PyCTBN.structure_graph.html#module-PyCTBN.structure_graph.structure">PyCTBN.structure_graph.structure</a> |
|
||||||
</li> |
|
||||||
<li><a href="PyCTBN.structure_graph.html#module-PyCTBN.structure_graph.trajectory">PyCTBN.structure_graph.trajectory</a> |
|
||||||
</li> |
|
||||||
<li><a href="PyCTBN.utility.html#module-PyCTBN.utility">PyCTBN.utility</a> |
|
||||||
</li> |
|
||||||
<li><a href="PyCTBN.utility.html#module-PyCTBN.utility.abstract_importer">PyCTBN.utility.abstract_importer</a> |
|
||||||
</li> |
|
||||||
<li><a href="PyCTBN.utility.html#module-PyCTBN.utility.cache">PyCTBN.utility.cache</a> |
|
||||||
</li> |
|
||||||
<li><a href="PyCTBN.utility.html#module-PyCTBN.utility.decorators">PyCTBN.utility.decorators</a> |
|
||||||
</li> |
|
||||||
<li><a href="PyCTBN.utility.html#module-PyCTBN.utility.json_importer">PyCTBN.utility.json_importer</a> |
|
||||||
</li> |
|
||||||
<li><a href="PyCTBN.utility.html#module-PyCTBN.utility.sample_importer">PyCTBN.utility.sample_importer</a> |
|
||||||
</li> |
|
||||||
</ul></li> |
|
||||||
</ul></td> |
|
||||||
</tr></table> |
|
||||||
|
|
||||||
<h2 id="N">N</h2> |
|
||||||
<table style="width: 100%" class="indextable genindextable"><tr> |
|
||||||
<td style="width: 33%; vertical-align: top;"><ul> |
|
||||||
<li><a href="PyCTBN.structure_graph.html#PyCTBN.structure_graph.network_graph.NetworkGraph">NetworkGraph (class in PyCTBN.structure_graph.network_graph)</a> |
|
||||||
</li> |
|
||||||
<li><a href="PyCTBN.structure_graph.html#PyCTBN.structure_graph.network_graph.NetworkGraph.nodes">nodes() (PyCTBN.structure_graph.network_graph.NetworkGraph property)</a> |
|
||||||
</li> |
|
||||||
<li><a href="PyCTBN.structure_graph.html#PyCTBN.structure_graph.network_graph.NetworkGraph.nodes_indexes">nodes_indexes() (PyCTBN.structure_graph.network_graph.NetworkGraph property)</a> |
|
||||||
|
|
||||||
<ul> |
|
||||||
<li><a href="PyCTBN.structure_graph.html#PyCTBN.structure_graph.structure.Structure.nodes_indexes">(PyCTBN.structure_graph.structure.Structure property)</a> |
|
||||||
</li> |
|
||||||
</ul></li> |
|
||||||
</ul></td> |
|
||||||
<td style="width: 33%; vertical-align: top;"><ul> |
|
||||||
<li><a href="PyCTBN.structure_graph.html#PyCTBN.structure_graph.structure.Structure.nodes_labels">nodes_labels() (PyCTBN.structure_graph.structure.Structure property)</a> |
|
||||||
</li> |
|
||||||
<li><a href="PyCTBN.structure_graph.html#PyCTBN.structure_graph.network_graph.NetworkGraph.nodes_values">nodes_values() (PyCTBN.structure_graph.network_graph.NetworkGraph property)</a> |
|
||||||
|
|
||||||
<ul> |
|
||||||
<li><a href="PyCTBN.structure_graph.html#PyCTBN.structure_graph.structure.Structure.nodes_values">(PyCTBN.structure_graph.structure.Structure property)</a> |
|
||||||
</li> |
|
||||||
</ul></li> |
|
||||||
<li><a href="PyCTBN.utility.html#PyCTBN.utility.json_importer.JsonImporter.normalize_trajectories">normalize_trajectories() (PyCTBN.utility.json_importer.JsonImporter method)</a> |
|
||||||
</li> |
|
||||||
</ul></td> |
|
||||||
</tr></table> |
|
||||||
|
|
||||||
<h2 id="O">O</h2> |
|
||||||
<table style="width: 100%" class="indextable genindextable"><tr> |
|
||||||
<td style="width: 33%; vertical-align: top;"><ul> |
|
||||||
<li><a href="PyCTBN.estimators.html#PyCTBN.estimators.structure_constraint_based_estimator.StructureConstraintBasedEstimator.one_iteration_of_CTPC_algorithm">one_iteration_of_CTPC_algorithm() (PyCTBN.estimators.structure_constraint_based_estimator.StructureConstraintBasedEstimator method)</a> |
|
||||||
</li> |
|
||||||
<li><a href="PyCTBN.utility.html#PyCTBN.utility.json_importer.JsonImporter.one_level_normalizing">one_level_normalizing() (PyCTBN.utility.json_importer.JsonImporter method)</a> |
|
||||||
</li> |
|
||||||
<li><a href="PyCTBN.optimizers.html#PyCTBN.optimizers.constraint_based_optimizer.ConstraintBasedOptimizer.optimize_structure">optimize_structure() (PyCTBN.optimizers.constraint_based_optimizer.ConstraintBasedOptimizer method)</a> |
|
||||||
|
|
||||||
<ul> |
|
||||||
<li><a href="PyCTBN.optimizers.html#PyCTBN.optimizers.hill_climbing_search.HillClimbing.optimize_structure">(PyCTBN.optimizers.hill_climbing_search.HillClimbing method)</a> |
|
||||||
</li> |
|
||||||
<li><a href="PyCTBN.optimizers.html#PyCTBN.optimizers.optimizer.Optimizer.optimize_structure">(PyCTBN.optimizers.optimizer.Optimizer method)</a> |
|
||||||
</li> |
|
||||||
<li><a href="PyCTBN.optimizers.html#PyCTBN.optimizers.tabu_search.TabuSearch.optimize_structure">(PyCTBN.optimizers.tabu_search.TabuSearch method)</a> |
|
||||||
</li> |
|
||||||
</ul></li> |
|
||||||
</ul></td> |
|
||||||
<td style="width: 33%; vertical-align: top;"><ul> |
|
||||||
<li><a href="PyCTBN.optimizers.html#PyCTBN.optimizers.optimizer.Optimizer">Optimizer (class in PyCTBN.optimizers.optimizer)</a> |
|
||||||
</li> |
|
||||||
</ul></td> |
|
||||||
</tr></table> |
|
||||||
|
|
||||||
<h2 id="P">P</h2> |
|
||||||
<table style="width: 100%" class="indextable genindextable"><tr> |
|
||||||
<td style="width: 33%; vertical-align: top;"><ul> |
|
||||||
<li><a href="PyCTBN.structure_graph.html#PyCTBN.structure_graph.network_graph.NetworkGraph.p_combs">p_combs() (PyCTBN.structure_graph.network_graph.NetworkGraph property)</a> |
|
||||||
|
|
||||||
<ul> |
|
||||||
<li><a href="PyCTBN.structure_graph.html#PyCTBN.structure_graph.set_of_cims.SetOfCims.p_combs">(PyCTBN.structure_graph.set_of_cims.SetOfCims property)</a> |
|
||||||
</li> |
|
||||||
</ul></li> |
|
||||||
</ul></td> |
|
||||||
<td style="width: 33%; vertical-align: top;"><ul> |
|
||||||
<li><a href="PyCTBN.estimators.html#PyCTBN.estimators.parameters_estimator.ParametersEstimator">ParametersEstimator (class in PyCTBN.estimators.parameters_estimator)</a> |
|
||||||
</li> |
|
||||||
<li><a href="PyCTBN.utility.html#PyCTBN.utility.cache.Cache.put">put() (PyCTBN.utility.cache.Cache method)</a> |
|
||||||
</li> |
|
||||||
</ul></td> |
|
||||||
</tr></table> |
|
||||||
|
|
||||||
<h2 id="R">R</h2> |
|
||||||
<table style="width: 100%" class="indextable genindextable"><tr> |
|
||||||
<td style="width: 33%; vertical-align: top;"><ul> |
|
||||||
<li><a href="PyCTBN.utility.html#PyCTBN.utility.json_importer.JsonImporter.read_json_file">read_json_file() (PyCTBN.utility.json_importer.JsonImporter method)</a> |
|
||||||
</li> |
|
||||||
<li><a href="PyCTBN.estimators.html#PyCTBN.estimators.structure_estimator.StructureEstimator.remove_diagonal_elements">remove_diagonal_elements() (PyCTBN.estimators.structure_estimator.StructureEstimator method)</a> |
|
||||||
</li> |
|
||||||
<li><a href="PyCTBN.structure_graph.html#PyCTBN.structure_graph.structure.Structure.remove_edge">remove_edge() (PyCTBN.structure_graph.structure.Structure method)</a> |
|
||||||
</li> |
|
||||||
</ul></td> |
|
||||||
<td style="width: 33%; vertical-align: top;"><ul> |
|
||||||
<li><a href="PyCTBN.structure_graph.html#PyCTBN.structure_graph.network_graph.NetworkGraph.remove_edges">remove_edges() (PyCTBN.structure_graph.network_graph.NetworkGraph method)</a> |
|
||||||
</li> |
|
||||||
<li><a href="PyCTBN.structure_graph.html#PyCTBN.structure_graph.network_graph.NetworkGraph.remove_node">remove_node() (PyCTBN.structure_graph.network_graph.NetworkGraph method)</a> |
|
||||||
|
|
||||||
<ul> |
|
||||||
<li><a href="PyCTBN.structure_graph.html#PyCTBN.structure_graph.structure.Structure.remove_node">(PyCTBN.structure_graph.structure.Structure method)</a> |
|
||||||
</li> |
|
||||||
</ul></li> |
|
||||||
</ul></td> |
|
||||||
</tr></table> |
|
||||||
|
|
||||||
<h2 id="S">S</h2> |
|
||||||
<table style="width: 100%" class="indextable genindextable"><tr> |
|
||||||
<td style="width: 33%; vertical-align: top;"><ul> |
|
||||||
<li><a href="PyCTBN.utility.html#PyCTBN.utility.sample_importer.SampleImporter">SampleImporter (class in PyCTBN.utility.sample_importer)</a> |
|
||||||
</li> |
|
||||||
<li><a href="PyCTBN.structure_graph.html#PyCTBN.structure_graph.sample_path.SamplePath">SamplePath (class in PyCTBN.structure_graph.sample_path)</a> |
|
||||||
</li> |
|
||||||
<li><a href="PyCTBN.estimators.html#PyCTBN.estimators.structure_estimator.StructureEstimator.save_plot_estimated_structure_graph">save_plot_estimated_structure_graph() (PyCTBN.estimators.structure_estimator.StructureEstimator method)</a> |
|
||||||
</li> |
|
||||||
<li><a href="PyCTBN.estimators.html#PyCTBN.estimators.structure_estimator.StructureEstimator.save_results">save_results() (PyCTBN.estimators.structure_estimator.StructureEstimator method)</a> |
|
||||||
</li> |
|
||||||
<li><a href="PyCTBN.structure_graph.html#PyCTBN.structure_graph.set_of_cims.SetOfCims">SetOfCims (class in PyCTBN.structure_graph.set_of_cims)</a> |
|
||||||
</li> |
|
||||||
<li><a href="PyCTBN.structure_graph.html#PyCTBN.structure_graph.sets_of_cims_container.SetsOfCimsContainer">SetsOfCimsContainer (class in PyCTBN.structure_graph.sets_of_cims_container)</a> |
|
||||||
</li> |
|
||||||
<li><a href="PyCTBN.estimators.html#PyCTBN.estimators.fam_score_calculator.FamScoreCalculator.single_cim_xu_marginal_likelihood_q">single_cim_xu_marginal_likelihood_q() (PyCTBN.estimators.fam_score_calculator.FamScoreCalculator method)</a> |
|
||||||
</li> |
|
||||||
<li><a href="PyCTBN.estimators.html#PyCTBN.estimators.fam_score_calculator.FamScoreCalculator.single_cim_xu_marginal_likelihood_theta">single_cim_xu_marginal_likelihood_theta() (PyCTBN.estimators.fam_score_calculator.FamScoreCalculator method)</a> |
|
||||||
</li> |
|
||||||
<li><a href="PyCTBN.estimators.html#PyCTBN.estimators.fam_score_calculator.FamScoreCalculator.single_internal_cim_xxu_marginal_likelihood_theta">single_internal_cim_xxu_marginal_likelihood_theta() (PyCTBN.estimators.fam_score_calculator.FamScoreCalculator method)</a> |
|
||||||
</li> |
|
||||||
<li><a href="PyCTBN.structure_graph.html#PyCTBN.structure_graph.trajectory.Trajectory.size">size() (PyCTBN.structure_graph.trajectory.Trajectory method)</a> |
|
||||||
</li> |
|
||||||
</ul></td> |
|
||||||
<td style="width: 33%; vertical-align: top;"><ul> |
|
||||||
<li><a href="PyCTBN.utility.html#PyCTBN.utility.abstract_importer.AbstractImporter.sorter">sorter() (PyCTBN.utility.abstract_importer.AbstractImporter property)</a> |
|
||||||
</li> |
|
||||||
<li><a href="PyCTBN.estimators.html#PyCTBN.estimators.structure_estimator.StructureEstimator.spurious_edges">spurious_edges() (PyCTBN.estimators.structure_estimator.StructureEstimator method)</a> |
|
||||||
</li> |
|
||||||
<li><a href="PyCTBN.structure_graph.html#PyCTBN.structure_graph.conditional_intensity_matrix.ConditionalIntensityMatrix.state_residence_times">state_residence_times() (PyCTBN.structure_graph.conditional_intensity_matrix.ConditionalIntensityMatrix property)</a> |
|
||||||
</li> |
|
||||||
<li><a href="PyCTBN.structure_graph.html#PyCTBN.structure_graph.conditional_intensity_matrix.ConditionalIntensityMatrix.state_transition_matrix">state_transition_matrix() (PyCTBN.structure_graph.conditional_intensity_matrix.ConditionalIntensityMatrix property)</a> |
|
||||||
</li> |
|
||||||
<li><a href="PyCTBN.structure_graph.html#PyCTBN.structure_graph.structure.Structure">Structure (class in PyCTBN.structure_graph.structure)</a> |
|
||||||
</li> |
|
||||||
<li><a href="PyCTBN.structure_graph.html#PyCTBN.structure_graph.sample_path.SamplePath.structure">structure() (PyCTBN.structure_graph.sample_path.SamplePath property)</a> |
|
||||||
|
|
||||||
<ul> |
|
||||||
<li><a href="PyCTBN.utility.html#PyCTBN.utility.abstract_importer.AbstractImporter.structure">(PyCTBN.utility.abstract_importer.AbstractImporter property)</a> |
|
||||||
</li> |
|
||||||
</ul></li> |
|
||||||
<li><a href="PyCTBN.estimators.html#PyCTBN.estimators.structure_constraint_based_estimator.StructureConstraintBasedEstimator">StructureConstraintBasedEstimator (class in PyCTBN.estimators.structure_constraint_based_estimator)</a> |
|
||||||
</li> |
|
||||||
<li><a href="PyCTBN.estimators.html#PyCTBN.estimators.structure_estimator.StructureEstimator">StructureEstimator (class in PyCTBN.estimators.structure_estimator)</a> |
|
||||||
</li> |
|
||||||
<li><a href="PyCTBN.estimators.html#PyCTBN.estimators.structure_score_based_estimator.StructureScoreBasedEstimator">StructureScoreBasedEstimator (class in PyCTBN.estimators.structure_score_based_estimator)</a> |
|
||||||
</li> |
|
||||||
</ul></td> |
|
||||||
</tr></table> |
|
||||||
|
|
||||||
<h2 id="T">T</h2> |
|
||||||
<table style="width: 100%" class="indextable genindextable"><tr> |
|
||||||
<td style="width: 33%; vertical-align: top;"><ul> |
|
||||||
<li><a href="PyCTBN.optimizers.html#PyCTBN.optimizers.tabu_search.TabuSearch">TabuSearch (class in PyCTBN.optimizers.tabu_search)</a> |
|
||||||
</li> |
|
||||||
<li><a href="PyCTBN.structure_graph.html#PyCTBN.structure_graph.network_graph.NetworkGraph.time_filtering">time_filtering() (PyCTBN.structure_graph.network_graph.NetworkGraph property)</a> |
|
||||||
</li> |
|
||||||
<li><a href="PyCTBN.structure_graph.html#PyCTBN.structure_graph.network_graph.NetworkGraph.time_scalar_indexing_strucure">time_scalar_indexing_strucure() (PyCTBN.structure_graph.network_graph.NetworkGraph property)</a> |
|
||||||
</li> |
|
||||||
<li><a href="PyCTBN.structure_graph.html#PyCTBN.structure_graph.trajectory.Trajectory.times">times() (PyCTBN.structure_graph.trajectory.Trajectory property)</a> |
|
||||||
</li> |
|
||||||
<li><a href="PyCTBN.utility.html#PyCTBN.utility.decorators.timing">timing() (in module PyCTBN.utility.decorators)</a> |
|
||||||
</li> |
|
||||||
<li><a href="PyCTBN.utility.html#PyCTBN.utility.decorators.timing_write">timing_write() (in module PyCTBN.utility.decorators)</a> |
|
||||||
</li> |
|
||||||
</ul></td> |
|
||||||
<td style="width: 33%; vertical-align: top;"><ul> |
|
||||||
<li><a href="PyCTBN.structure_graph.html#PyCTBN.structure_graph.sample_path.SamplePath.total_variables_count">total_variables_count() (PyCTBN.structure_graph.sample_path.SamplePath property)</a> |
|
||||||
</li> |
|
||||||
<li><a href="PyCTBN.structure_graph.html#PyCTBN.structure_graph.structure.Structure.total_variables_number">total_variables_number() (PyCTBN.structure_graph.structure.Structure property)</a> |
|
||||||
</li> |
|
||||||
<li><a href="PyCTBN.structure_graph.html#PyCTBN.structure_graph.sample_path.SamplePath.trajectories">trajectories() (PyCTBN.structure_graph.sample_path.SamplePath property)</a> |
|
||||||
</li> |
|
||||||
<li><a href="PyCTBN.structure_graph.html#PyCTBN.structure_graph.trajectory.Trajectory">Trajectory (class in PyCTBN.structure_graph.trajectory)</a> |
|
||||||
</li> |
|
||||||
<li><a href="PyCTBN.structure_graph.html#PyCTBN.structure_graph.trajectory.Trajectory.trajectory">trajectory() (PyCTBN.structure_graph.trajectory.Trajectory property)</a> |
|
||||||
</li> |
|
||||||
<li><a href="PyCTBN.structure_graph.html#PyCTBN.structure_graph.network_graph.NetworkGraph.transition_filtering">transition_filtering() (PyCTBN.structure_graph.network_graph.NetworkGraph property)</a> |
|
||||||
</li> |
|
||||||
<li><a href="PyCTBN.structure_graph.html#PyCTBN.structure_graph.network_graph.NetworkGraph.transition_scalar_indexing_structure">transition_scalar_indexing_structure() (PyCTBN.structure_graph.network_graph.NetworkGraph property)</a> |
|
||||||
</li> |
|
||||||
</ul></td> |
|
||||||
</tr></table> |
|
||||||
|
|
||||||
<h2 id="V">V</h2> |
|
||||||
<table style="width: 100%" class="indextable genindextable"><tr> |
|
||||||
<td style="width: 33%; vertical-align: top;"><ul> |
|
||||||
<li><a href="PyCTBN.estimators.html#PyCTBN.estimators.fam_score_calculator.FamScoreCalculator.variable_cim_xu_marginal_likelihood_q">variable_cim_xu_marginal_likelihood_q() (PyCTBN.estimators.fam_score_calculator.FamScoreCalculator method)</a> |
|
||||||
</li> |
|
||||||
</ul></td> |
|
||||||
<td style="width: 33%; vertical-align: top;"><ul> |
|
||||||
<li><a href="PyCTBN.estimators.html#PyCTBN.estimators.fam_score_calculator.FamScoreCalculator.variable_cim_xu_marginal_likelihood_theta">variable_cim_xu_marginal_likelihood_theta() (PyCTBN.estimators.fam_score_calculator.FamScoreCalculator method)</a> |
|
||||||
</li> |
|
||||||
<li><a href="PyCTBN.utility.html#PyCTBN.utility.abstract_importer.AbstractImporter.variables">variables() (PyCTBN.utility.abstract_importer.AbstractImporter property)</a> |
|
||||||
</li> |
|
||||||
</ul></td> |
|
||||||
</tr></table> |
|
||||||
|
|
||||||
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||||||
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|
||||||
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<footer> |
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||||||
<hr/> |
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||||||
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||||||
<div role="contentinfo"> |
|
||||||
<p> |
|
||||||
© Copyright 2021, Bregoli Alessandro, Martini Filippo, Moretti Luca. |
|
||||||
</p> |
|
||||||
</div> |
|
||||||
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||||||
Built with <a href="http://sphinx-doc.org/">Sphinx</a> using a <a href="https://github.com/jucacrispim/sphinx_pdj_theme">theme</a> provided by <a href="http://poraodojuca.net">Porão do Juca</a>. |
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<script type="text/javascript"> |
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PyCTBN.PyCTBN.estimators package |
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================================ |
||||||
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|
||||||
|
Submodules |
||||||
|
---------- |
||||||
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|
||||||
|
PyCTBN.PyCTBN.estimators.fam\_score\_calculator module |
||||||
|
------------------------------------------------------ |
||||||
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||||||
|
.. automodule:: PyCTBN.PyCTBN.estimators.fam_score_calculator |
||||||
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:members: |
||||||
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||||||
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:show-inheritance: |
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||||||
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PyCTBN.PyCTBN.estimators.parameters\_estimator module |
||||||
|
----------------------------------------------------- |
||||||
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||||||
|
.. automodule:: PyCTBN.PyCTBN.estimators.parameters_estimator |
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:members: |
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:show-inheritance: |
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||||||
|
PyCTBN.PyCTBN.estimators.structure\_constraint\_based\_estimator module |
||||||
|
----------------------------------------------------------------------- |
||||||
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||||||
|
.. automodule:: PyCTBN.PyCTBN.estimators.structure_constraint_based_estimator |
||||||
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:members: |
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||||||
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||||||
|
PyCTBN.PyCTBN.estimators.structure\_estimator module |
||||||
|
---------------------------------------------------- |
||||||
|
|
||||||
|
.. automodule:: PyCTBN.PyCTBN.estimators.structure_estimator |
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:members: |
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:show-inheritance: |
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||||||
|
PyCTBN.PyCTBN.estimators.structure\_score\_based\_estimator module |
||||||
|
------------------------------------------------------------------ |
||||||
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||||||
|
.. automodule:: PyCTBN.PyCTBN.estimators.structure_score_based_estimator |
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|
:members: |
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:undoc-members: |
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:show-inheritance: |
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||||||
|
Module contents |
||||||
|
--------------- |
||||||
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|
||||||
|
.. automodule:: PyCTBN.PyCTBN.estimators |
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:members: |
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:undoc-members: |
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:show-inheritance: |
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PyCTBN.PyCTBN.optimizers package |
||||||
|
================================ |
||||||
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|
||||||
|
Submodules |
||||||
|
---------- |
||||||
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|
||||||
|
PyCTBN.PyCTBN.optimizers.constraint\_based\_optimizer module |
||||||
|
------------------------------------------------------------ |
||||||
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|
||||||
|
.. automodule:: PyCTBN.PyCTBN.optimizers.constraint_based_optimizer |
||||||
|
:members: |
||||||
|
:undoc-members: |
||||||
|
:show-inheritance: |
||||||
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||||||
|
PyCTBN.PyCTBN.optimizers.hill\_climbing\_search module |
||||||
|
------------------------------------------------------ |
||||||
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||||||
|
.. automodule:: PyCTBN.PyCTBN.optimizers.hill_climbing_search |
||||||
|
:members: |
||||||
|
:undoc-members: |
||||||
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:show-inheritance: |
||||||
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||||||
|
PyCTBN.PyCTBN.optimizers.optimizer module |
||||||
|
----------------------------------------- |
||||||
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||||||
|
.. automodule:: PyCTBN.PyCTBN.optimizers.optimizer |
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:members: |
||||||
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:undoc-members: |
||||||
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:show-inheritance: |
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||||||
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PyCTBN.PyCTBN.optimizers.tabu\_search module |
||||||
|
-------------------------------------------- |
||||||
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||||||
|
.. automodule:: PyCTBN.PyCTBN.optimizers.tabu_search |
||||||
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:members: |
||||||
|
:undoc-members: |
||||||
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:show-inheritance: |
||||||
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||||||
|
Module contents |
||||||
|
--------------- |
||||||
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|
||||||
|
.. automodule:: PyCTBN.PyCTBN.optimizers |
||||||
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:members: |
||||||
|
:undoc-members: |
||||||
|
:show-inheritance: |
||||||
@ -0,0 +1,21 @@ |
|||||||
|
PyCTBN.PyCTBN package |
||||||
|
===================== |
||||||
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||||||
|
Subpackages |
||||||
|
----------- |
||||||
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|
||||||
|
.. toctree:: |
||||||
|
:maxdepth: 4 |
||||||
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||||||
|
PyCTBN.PyCTBN.estimators |
||||||
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PyCTBN.PyCTBN.optimizers |
||||||
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PyCTBN.PyCTBN.structure_graph |
||||||
|
PyCTBN.PyCTBN.utility |
||||||
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|
||||||
|
Module contents |
||||||
|
--------------- |
||||||
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||||||
|
.. automodule:: PyCTBN.PyCTBN |
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|
:members: |
||||||
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:undoc-members: |
||||||
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:show-inheritance: |
||||||
@ -0,0 +1,61 @@ |
|||||||
|
PyCTBN.PyCTBN.structure\_graph package |
||||||
|
====================================== |
||||||
|
|
||||||
|
Submodules |
||||||
|
---------- |
||||||
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|
||||||
|
PyCTBN.PyCTBN.structure\_graph.conditional\_intensity\_matrix module |
||||||
|
-------------------------------------------------------------------- |
||||||
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||||||
|
.. automodule:: PyCTBN.PyCTBN.structure_graph.conditional_intensity_matrix |
||||||
|
:members: |
||||||
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:undoc-members: |
||||||
|
:show-inheritance: |
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||||||
|
PyCTBN.PyCTBN.structure\_graph.network\_graph module |
||||||
|
---------------------------------------------------- |
||||||
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||||||
|
.. automodule:: PyCTBN.PyCTBN.structure_graph.network_graph |
||||||
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:members: |
||||||
|
:undoc-members: |
||||||
|
:show-inheritance: |
||||||
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||||||
|
PyCTBN.PyCTBN.structure\_graph.sample\_path module |
||||||
|
-------------------------------------------------- |
||||||
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||||||
|
.. automodule:: PyCTBN.PyCTBN.structure_graph.sample_path |
||||||
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:members: |
||||||
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:undoc-members: |
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:show-inheritance: |
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||||||
|
PyCTBN.PyCTBN.structure\_graph.set\_of\_cims module |
||||||
|
--------------------------------------------------- |
||||||
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||||||
|
.. automodule:: PyCTBN.PyCTBN.structure_graph.set_of_cims |
||||||
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:members: |
||||||
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:show-inheritance: |
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||||||
|
PyCTBN.PyCTBN.structure\_graph.structure module |
||||||
|
----------------------------------------------- |
||||||
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||||||
|
.. automodule:: PyCTBN.PyCTBN.structure_graph.structure |
||||||
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:members: |
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||||||
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||||||
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PyCTBN.PyCTBN.structure\_graph.trajectory module |
||||||
|
------------------------------------------------ |
||||||
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||||||
|
.. automodule:: PyCTBN.PyCTBN.structure_graph.trajectory |
||||||
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:members: |
||||||
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||||||
|
Module contents |
||||||
|
--------------- |
||||||
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|
||||||
|
.. automodule:: PyCTBN.PyCTBN.structure_graph |
||||||
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:members: |
||||||
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@ -0,0 +1,45 @@ |
|||||||
|
PyCTBN.PyCTBN.utility package |
||||||
|
============================= |
||||||
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|
||||||
|
Submodules |
||||||
|
---------- |
||||||
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|
||||||
|
PyCTBN.PyCTBN.utility.abstract\_importer module |
||||||
|
----------------------------------------------- |
||||||
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|
||||||
|
.. automodule:: PyCTBN.PyCTBN.utility.abstract_importer |
||||||
|
:members: |
||||||
|
:undoc-members: |
||||||
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:show-inheritance: |
||||||
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|
||||||
|
PyCTBN.PyCTBN.utility.cache module |
||||||
|
---------------------------------- |
||||||
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||||||
|
.. automodule:: PyCTBN.PyCTBN.utility.cache |
||||||
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:members: |
||||||
|
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||||||
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||||||
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|
||||||
|
PyCTBN.PyCTBN.utility.json\_importer module |
||||||
|
------------------------------------------- |
||||||
|
|
||||||
|
.. automodule:: PyCTBN.PyCTBN.utility.json_importer |
||||||
|
:members: |
||||||
|
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||||||
|
:show-inheritance: |
||||||
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||||||
|
PyCTBN.PyCTBN.utility.sample\_importer module |
||||||
|
--------------------------------------------- |
||||||
|
|
||||||
|
.. automodule:: PyCTBN.PyCTBN.utility.sample_importer |
||||||
|
:members: |
||||||
|
:undoc-members: |
||||||
|
:show-inheritance: |
||||||
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||||||
|
Module contents |
||||||
|
--------------- |
||||||
|
|
||||||
|
.. automodule:: PyCTBN.PyCTBN.utility |
||||||
|
:members: |
||||||
|
:undoc-members: |
||||||
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|||||||
|
PyCTBN package |
||||||
|
============== |
||||||
|
|
||||||
|
Subpackages |
||||||
|
----------- |
||||||
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|
||||||
|
.. toctree:: |
||||||
|
:maxdepth: 4 |
||||||
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||||||
|
PyCTBN.PyCTBN |
||||||
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||||||
|
Submodules |
||||||
|
---------- |
||||||
|
|
||||||
|
Module contents |
||||||
|
--------------- |
||||||
|
|
||||||
|
.. automodule:: PyCTBN |
||||||
|
:members: |
||||||
|
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||||||
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||||||
@ -0,0 +1,121 @@ |
|||||||
|
Examples |
||||||
|
======== |
||||||
|
|
||||||
|
Installation/Usage |
||||||
|
****************** |
||||||
|
Download the release in .tar.gz or .whl format and simply use pip install to install it:: |
||||||
|
|
||||||
|
$pip install PyCTBN-1.0.tar.gz |
||||||
|
|
||||||
|
|
||||||
|
Implementing your own data importer |
||||||
|
*********************************** |
||||||
|
.. code-block:: python |
||||||
|
|
||||||
|
"""This example demonstrates the implementation of a simple data importer the extends the class abstract importer to import data in csv format. |
||||||
|
The net in exam has three ternary nodes and no prior net structure. |
||||||
|
""" |
||||||
|
|
||||||
|
from PyCTBN import AbstractImporter |
||||||
|
|
||||||
|
class CSVImporter(AbstractImporter): |
||||||
|
|
||||||
|
def __init__(self, file_path): |
||||||
|
self._df_samples_list = None |
||||||
|
super(CSVImporter, self).__init__(file_path) |
||||||
|
|
||||||
|
def import_data(self): |
||||||
|
self.read_csv_file() |
||||||
|
self._sorter = self.build_sorter(self._df_samples_list[0]) |
||||||
|
self.import_variables() |
||||||
|
self.compute_row_delta_in_all_samples_frames(self._df_samples_list) |
||||||
|
|
||||||
|
def read_csv_file(self): |
||||||
|
df = pd.read_csv(self._file_path) |
||||||
|
df.drop(df.columns[[0]], axis=1, inplace=True) |
||||||
|
self._df_samples_list = [df] |
||||||
|
|
||||||
|
def import_variables(self): |
||||||
|
values_list = [3 for var in self._sorter] |
||||||
|
# initialize dict of lists |
||||||
|
data = {'Name':self._sorter, 'Value':values_list} |
||||||
|
# Create the pandas DataFrame |
||||||
|
self._df_variables = pd.DataFrame(data) |
||||||
|
|
||||||
|
def build_sorter(self, sample_frame: pd.DataFrame) -> typing.List: |
||||||
|
return list(sample_frame.columns)[1:] |
||||||
|
|
||||||
|
def dataset_id(self) -> object: |
||||||
|
pass |
||||||
|
|
||||||
|
Parameters Estimation Example |
||||||
|
***************************** |
||||||
|
|
||||||
|
.. code-block:: python |
||||||
|
|
||||||
|
from PyCTBN import JsonImporter |
||||||
|
from PyCTBN import SamplePath |
||||||
|
from PyCTBN import NetworkGraph |
||||||
|
from PyCTBN import ParametersEstimator |
||||||
|
|
||||||
|
|
||||||
|
def main(): |
||||||
|
read_files = glob.glob(os.path.join('./data', "*.json")) #Take all json files in this dir |
||||||
|
#import data |
||||||
|
importer = JsonImporter(read_files[0], 'samples', 'dyn.str', 'variables', 'Time', 'Name') |
||||||
|
importer.import_data(0) |
||||||
|
#Create a SamplePath Obj passing an already filled AbstractImporter object |
||||||
|
s1 = SamplePath(importer) |
||||||
|
#Build The trajectries and the structural infos |
||||||
|
s1.build_trajectories() |
||||||
|
s1.build_structure() |
||||||
|
print(s1.structure.edges) |
||||||
|
print(s1.structure.nodes_values) |
||||||
|
#From The Structure Object build the Graph |
||||||
|
g = NetworkGraph(s1.structure) |
||||||
|
#Select a node you want to estimate the parameters |
||||||
|
node = g.nodes[2] |
||||||
|
print("Node", node) |
||||||
|
#Init the _graph specifically for THIS node |
||||||
|
g.fast_init(node) |
||||||
|
#Use SamplePath and Grpah to create a ParametersEstimator Object |
||||||
|
p1 = ParametersEstimator(s1.trajectories, g) |
||||||
|
#Init the peEst specifically for THIS node |
||||||
|
p1.fast_init(node) |
||||||
|
#Compute the parameters |
||||||
|
sofc1 = p1.compute_parameters_for_node(node) |
||||||
|
#The est CIMS are inside the resultant SetOfCIms Obj |
||||||
|
print(sofc1.actual_cims) |
||||||
|
|
||||||
|
Structure Estimation Example |
||||||
|
**************************** |
||||||
|
|
||||||
|
.. code-block:: python |
||||||
|
|
||||||
|
from PyCTBN import JsonImporter |
||||||
|
from PyCTBN import SamplePath |
||||||
|
from PyCTBN import StructureEstimator |
||||||
|
|
||||||
|
def structure_estimation_example(): |
||||||
|
|
||||||
|
# read the json files in ./data path |
||||||
|
read_files = glob.glob(os.path.join('./data', "*.json")) |
||||||
|
# initialize a JsonImporter object for the first file |
||||||
|
importer = JsonImporter(read_files[0], 'samples', 'dyn.str', 'variables', 'Time', 'Name') |
||||||
|
# import the data at index 0 of the outer json array |
||||||
|
importer.import_data(0) |
||||||
|
# construct a SamplePath Object passing a filled AbstractImporter |
||||||
|
s1 = SamplePath(importer) |
||||||
|
# build the trajectories |
||||||
|
s1.build_trajectories() |
||||||
|
# build the real structure |
||||||
|
s1.build_structure() |
||||||
|
# construct a StructureEstimator object |
||||||
|
se1 = StructureEstimator(s1, 0.1, 0.1) |
||||||
|
# call the ctpc algorithm |
||||||
|
se1.ctpc_algorithm() |
||||||
|
# the adjacency matrix of the estimated structure |
||||||
|
print(se1.adjacency_matrix()) |
||||||
|
# save results to a json file |
||||||
|
se1.save_results() |
||||||
|
|
||||||
@ -0,0 +1,22 @@ |
|||||||
|
.. PyCTBN documentation master file, created by |
||||||
|
sphinx-quickstart on Wed Mar 3 14:50:44 2021. |
||||||
|
You can adapt this file completely to your liking, but it should at least |
||||||
|
contain the root `toctree` directive. |
||||||
|
|
||||||
|
Welcome to PyCTBN's documentation! |
||||||
|
================================== |
||||||
|
|
||||||
|
.. toctree:: |
||||||
|
:maxdepth: 4 |
||||||
|
:caption: Contents: |
||||||
|
|
||||||
|
modules |
||||||
|
|
||||||
|
|
||||||
|
|
||||||
|
Indices and tables |
||||||
|
================== |
||||||
|
|
||||||
|
* :ref:`genindex` |
||||||
|
* :ref:`modindex` |
||||||
|
* :ref:`search` |
||||||
@ -0,0 +1,8 @@ |
|||||||
|
PyCTBN |
||||||
|
====== |
||||||
|
|
||||||
|
.. toctree:: |
||||||
|
:maxdepth: 4 |
||||||
|
|
||||||
|
PyCTBN.PyCTBN |
||||||
|
examples |
||||||
@ -0,0 +1,856 @@ |
|||||||
|
/* |
||||||
|
* basic.css |
||||||
|
* ~~~~~~~~~ |
||||||
|
* |
||||||
|
* Sphinx stylesheet -- basic theme. |
||||||
|
* |
||||||
|
* :copyright: Copyright 2007-2020 by the Sphinx team, see AUTHORS. |
||||||
|
* :license: BSD, see LICENSE for details. |
||||||
|
* |
||||||
|
*/ |
||||||
|
|
||||||
|
/* -- main layout ----------------------------------------------------------- */ |
||||||
|
|
||||||
|
div.clearer { |
||||||
|
clear: both; |
||||||
|
} |
||||||
|
|
||||||
|
div.section::after { |
||||||
|
display: block; |
||||||
|
content: ''; |
||||||
|
clear: left; |
||||||
|
} |
||||||
|
|
||||||
|
/* -- relbar ---------------------------------------------------------------- */ |
||||||
|
|
||||||
|
div.related { |
||||||
|
width: 100%; |
||||||
|
font-size: 90%; |
||||||
|
} |
||||||
|
|
||||||
|
div.related h3 { |
||||||
|
display: none; |
||||||
|
} |
||||||
|
|
||||||
|
div.related ul { |
||||||
|
margin: 0; |
||||||
|
padding: 0 0 0 10px; |
||||||
|
list-style: none; |
||||||
|
} |
||||||
|
|
||||||
|
div.related li { |
||||||
|
display: inline; |
||||||
|
} |
||||||
|
|
||||||
|
div.related li.right { |
||||||
|
float: right; |
||||||
|
margin-right: 5px; |
||||||
|
} |
||||||
|
|
||||||
|
/* -- sidebar --------------------------------------------------------------- */ |
||||||
|
|
||||||
|
div.sphinxsidebarwrapper { |
||||||
|
padding: 10px 5px 0 10px; |
||||||
|
} |
||||||
|
|
||||||
|
div.sphinxsidebar { |
||||||
|
float: left; |
||||||
|
width: 230px; |
||||||
|
margin-left: -100%; |
||||||
|
font-size: 90%; |
||||||
|
word-wrap: break-word; |
||||||
|
overflow-wrap : break-word; |
||||||
|
} |
||||||
|
|
||||||
|
div.sphinxsidebar ul { |
||||||
|
list-style: none; |
||||||
|
} |
||||||
|
|
||||||
|
div.sphinxsidebar ul ul, |
||||||
|
div.sphinxsidebar ul.want-points { |
||||||
|
margin-left: 20px; |
||||||
|
list-style: square; |
||||||
|
} |
||||||
|
|
||||||
|
div.sphinxsidebar ul ul { |
||||||
|
margin-top: 0; |
||||||
|
margin-bottom: 0; |
||||||
|
} |
||||||
|
|
||||||
|
div.sphinxsidebar form { |
||||||
|
margin-top: 10px; |
||||||
|
} |
||||||
|
|
||||||
|
div.sphinxsidebar input { |
||||||
|
border: 1px solid #98dbcc; |
||||||
|
font-family: sans-serif; |
||||||
|
font-size: 1em; |
||||||
|
} |
||||||
|
|
||||||
|
div.sphinxsidebar #searchbox form.search { |
||||||
|
overflow: hidden; |
||||||
|
} |
||||||
|
|
||||||
|
div.sphinxsidebar #searchbox input[type="text"] { |
||||||
|
float: left; |
||||||
|
width: 80%; |
||||||
|
padding: 0.25em; |
||||||
|
box-sizing: border-box; |
||||||
|
} |
||||||
|
|
||||||
|
div.sphinxsidebar #searchbox input[type="submit"] { |
||||||
|
float: left; |
||||||
|
width: 20%; |
||||||
|
border-left: none; |
||||||
|
padding: 0.25em; |
||||||
|
box-sizing: border-box; |
||||||
|
} |
||||||
|
|
||||||
|
|
||||||
|
img { |
||||||
|
border: 0; |
||||||
|
max-width: 100%; |
||||||
|
} |
||||||
|
|
||||||
|
/* -- search page ----------------------------------------------------------- */ |
||||||
|
|
||||||
|
ul.search { |
||||||
|
margin: 10px 0 0 20px; |
||||||
|
padding: 0; |
||||||
|
} |
||||||
|
|
||||||
|
ul.search li { |
||||||
|
padding: 5px 0 5px 20px; |
||||||
|
background-image: url(file.png); |
||||||
|
background-repeat: no-repeat; |
||||||
|
background-position: 0 7px; |
||||||
|
} |
||||||
|
|
||||||
|
ul.search li a { |
||||||
|
font-weight: bold; |
||||||
|
} |
||||||
|
|
||||||
|
ul.search li div.context { |
||||||
|
color: #888; |
||||||
|
margin: 2px 0 0 30px; |
||||||
|
text-align: left; |
||||||
|
} |
||||||
|
|
||||||
|
ul.keywordmatches li.goodmatch a { |
||||||
|
font-weight: bold; |
||||||
|
} |
||||||
|
|
||||||
|
/* -- index page ------------------------------------------------------------ */ |
||||||
|
|
||||||
|
table.contentstable { |
||||||
|
width: 90%; |
||||||
|
margin-left: auto; |
||||||
|
margin-right: auto; |
||||||
|
} |
||||||
|
|
||||||
|
table.contentstable p.biglink { |
||||||
|
line-height: 150%; |
||||||
|
} |
||||||
|
|
||||||
|
a.biglink { |
||||||
|
font-size: 1.3em; |
||||||
|
} |
||||||
|
|
||||||
|
span.linkdescr { |
||||||
|
font-style: italic; |
||||||
|
padding-top: 5px; |
||||||
|
font-size: 90%; |
||||||
|
} |
||||||
|
|
||||||
|
/* -- general index --------------------------------------------------------- */ |
||||||
|
|
||||||
|
table.indextable { |
||||||
|
width: 100%; |
||||||
|
} |
||||||
|
|
||||||
|
table.indextable td { |
||||||
|
text-align: left; |
||||||
|
vertical-align: top; |
||||||
|
} |
||||||
|
|
||||||
|
table.indextable ul { |
||||||
|
margin-top: 0; |
||||||
|
margin-bottom: 0; |
||||||
|
list-style-type: none; |
||||||
|
} |
||||||
|
|
||||||
|
table.indextable > tbody > tr > td > ul { |
||||||
|
padding-left: 0em; |
||||||
|
} |
||||||
|
|
||||||
|
table.indextable tr.pcap { |
||||||
|
height: 10px; |
||||||
|
} |
||||||
|
|
||||||
|
table.indextable tr.cap { |
||||||
|
margin-top: 10px; |
||||||
|
background-color: #f2f2f2; |
||||||
|
} |
||||||
|
|
||||||
|
img.toggler { |
||||||
|
margin-right: 3px; |
||||||
|
margin-top: 3px; |
||||||
|
cursor: pointer; |
||||||
|
} |
||||||
|
|
||||||
|
div.modindex-jumpbox { |
||||||
|
border-top: 1px solid #ddd; |
||||||
|
border-bottom: 1px solid #ddd; |
||||||
|
margin: 1em 0 1em 0; |
||||||
|
padding: 0.4em; |
||||||
|
} |
||||||
|
|
||||||
|
div.genindex-jumpbox { |
||||||
|
border-top: 1px solid #ddd; |
||||||
|
border-bottom: 1px solid #ddd; |
||||||
|
margin: 1em 0 1em 0; |
||||||
|
padding: 0.4em; |
||||||
|
} |
||||||
|
|
||||||
|
/* -- domain module index --------------------------------------------------- */ |
||||||
|
|
||||||
|
table.modindextable td { |
||||||
|
padding: 2px; |
||||||
|
border-collapse: collapse; |
||||||
|
} |
||||||
|
|
||||||
|
/* -- general body styles --------------------------------------------------- */ |
||||||
|
|
||||||
|
div.body { |
||||||
|
min-width: 450px; |
||||||
|
max-width: 800px; |
||||||
|
} |
||||||
|
|
||||||
|
div.body p, div.body dd, div.body li, div.body blockquote { |
||||||
|
-moz-hyphens: auto; |
||||||
|
-ms-hyphens: auto; |
||||||
|
-webkit-hyphens: auto; |
||||||
|
hyphens: auto; |
||||||
|
} |
||||||
|
|
||||||
|
a.headerlink { |
||||||
|
visibility: hidden; |
||||||
|
} |
||||||
|
|
||||||
|
a.brackets:before, |
||||||
|
span.brackets > a:before{ |
||||||
|
content: "["; |
||||||
|
} |
||||||
|
|
||||||
|
a.brackets:after, |
||||||
|
span.brackets > a:after { |
||||||
|
content: "]"; |
||||||
|
} |
||||||
|
|
||||||
|
h1:hover > a.headerlink, |
||||||
|
h2:hover > a.headerlink, |
||||||
|
h3:hover > a.headerlink, |
||||||
|
h4:hover > a.headerlink, |
||||||
|
h5:hover > a.headerlink, |
||||||
|
h6:hover > a.headerlink, |
||||||
|
dt:hover > a.headerlink, |
||||||
|
caption:hover > a.headerlink, |
||||||
|
p.caption:hover > a.headerlink, |
||||||
|
div.code-block-caption:hover > a.headerlink { |
||||||
|
visibility: visible; |
||||||
|
} |
||||||
|
|
||||||
|
div.body p.caption { |
||||||
|
text-align: inherit; |
||||||
|
} |
||||||
|
|
||||||
|
div.body td { |
||||||
|
text-align: left; |
||||||
|
} |
||||||
|
|
||||||
|
.first { |
||||||
|
margin-top: 0 !important; |
||||||
|
} |
||||||
|
|
||||||
|
p.rubric { |
||||||
|
margin-top: 30px; |
||||||
|
font-weight: bold; |
||||||
|
} |
||||||
|
|
||||||
|
img.align-left, .figure.align-left, object.align-left { |
||||||
|
clear: left; |
||||||
|
float: left; |
||||||
|
margin-right: 1em; |
||||||
|
} |
||||||
|
|
||||||
|
img.align-right, .figure.align-right, object.align-right { |
||||||
|
clear: right; |
||||||
|
float: right; |
||||||
|
margin-left: 1em; |
||||||
|
} |
||||||
|
|
||||||
|
img.align-center, .figure.align-center, object.align-center { |
||||||
|
display: block; |
||||||
|
margin-left: auto; |
||||||
|
margin-right: auto; |
||||||
|
} |
||||||
|
|
||||||
|
img.align-default, .figure.align-default { |
||||||
|
display: block; |
||||||
|
margin-left: auto; |
||||||
|
margin-right: auto; |
||||||
|
} |
||||||
|
|
||||||
|
.align-left { |
||||||
|
text-align: left; |
||||||
|
} |
||||||
|
|
||||||
|
.align-center { |
||||||
|
text-align: center; |
||||||
|
} |
||||||
|
|
||||||
|
.align-default { |
||||||
|
text-align: center; |
||||||
|
} |
||||||
|
|
||||||
|
.align-right { |
||||||
|
text-align: right; |
||||||
|
} |
||||||
|
|
||||||
|
/* -- sidebars -------------------------------------------------------------- */ |
||||||
|
|
||||||
|
div.sidebar { |
||||||
|
margin: 0 0 0.5em 1em; |
||||||
|
border: 1px solid #ddb; |
||||||
|
padding: 7px; |
||||||
|
background-color: #ffe; |
||||||
|
width: 40%; |
||||||
|
float: right; |
||||||
|
clear: right; |
||||||
|
overflow-x: auto; |
||||||
|
} |
||||||
|
|
||||||
|
p.sidebar-title { |
||||||
|
font-weight: bold; |
||||||
|
} |
||||||
|
|
||||||
|
div.admonition, div.topic, blockquote { |
||||||
|
clear: left; |
||||||
|
} |
||||||
|
|
||||||
|
/* -- topics ---------------------------------------------------------------- */ |
||||||
|
|
||||||
|
div.topic { |
||||||
|
border: 1px solid #ccc; |
||||||
|
padding: 7px; |
||||||
|
margin: 10px 0 10px 0; |
||||||
|
} |
||||||
|
|
||||||
|
p.topic-title { |
||||||
|
font-size: 1.1em; |
||||||
|
font-weight: bold; |
||||||
|
margin-top: 10px; |
||||||
|
} |
||||||
|
|
||||||
|
/* -- admonitions ----------------------------------------------------------- */ |
||||||
|
|
||||||
|
div.admonition { |
||||||
|
margin-top: 10px; |
||||||
|
margin-bottom: 10px; |
||||||
|
padding: 7px; |
||||||
|
} |
||||||
|
|
||||||
|
div.admonition dt { |
||||||
|
font-weight: bold; |
||||||
|
} |
||||||
|
|
||||||
|
p.admonition-title { |
||||||
|
margin: 0px 10px 5px 0px; |
||||||
|
font-weight: bold; |
||||||
|
} |
||||||
|
|
||||||
|
div.body p.centered { |
||||||
|
text-align: center; |
||||||
|
margin-top: 25px; |
||||||
|
} |
||||||
|
|
||||||
|
/* -- content of sidebars/topics/admonitions -------------------------------- */ |
||||||
|
|
||||||
|
div.sidebar > :last-child, |
||||||
|
div.topic > :last-child, |
||||||
|
div.admonition > :last-child { |
||||||
|
margin-bottom: 0; |
||||||
|
} |
||||||
|
|
||||||
|
div.sidebar::after, |
||||||
|
div.topic::after, |
||||||
|
div.admonition::after, |
||||||
|
blockquote::after { |
||||||
|
display: block; |
||||||
|
content: ''; |
||||||
|
clear: both; |
||||||
|
} |
||||||
|
|
||||||
|
/* -- tables ---------------------------------------------------------------- */ |
||||||
|
|
||||||
|
table.docutils { |
||||||
|
margin-top: 10px; |
||||||
|
margin-bottom: 10px; |
||||||
|
border: 0; |
||||||
|
border-collapse: collapse; |
||||||
|
} |
||||||
|
|
||||||
|
table.align-center { |
||||||
|
margin-left: auto; |
||||||
|
margin-right: auto; |
||||||
|
} |
||||||
|
|
||||||
|
table.align-default { |
||||||
|
margin-left: auto; |
||||||
|
margin-right: auto; |
||||||
|
} |
||||||
|
|
||||||
|
table caption span.caption-number { |
||||||
|
font-style: italic; |
||||||
|
} |
||||||
|
|
||||||
|
table caption span.caption-text { |
||||||
|
} |
||||||
|
|
||||||
|
table.docutils td, table.docutils th { |
||||||
|
padding: 1px 8px 1px 5px; |
||||||
|
border-top: 0; |
||||||
|
border-left: 0; |
||||||
|
border-right: 0; |
||||||
|
border-bottom: 1px solid #aaa; |
||||||
|
} |
||||||
|
|
||||||
|
table.footnote td, table.footnote th { |
||||||
|
border: 0 !important; |
||||||
|
} |
||||||
|
|
||||||
|
th { |
||||||
|
text-align: left; |
||||||
|
padding-right: 5px; |
||||||
|
} |
||||||
|
|
||||||
|
table.citation { |
||||||
|
border-left: solid 1px gray; |
||||||
|
margin-left: 1px; |
||||||
|
} |
||||||
|
|
||||||
|
table.citation td { |
||||||
|
border-bottom: none; |
||||||
|
} |
||||||
|
|
||||||
|
th > :first-child, |
||||||
|
td > :first-child { |
||||||
|
margin-top: 0px; |
||||||
|
} |
||||||
|
|
||||||
|
th > :last-child, |
||||||
|
td > :last-child { |
||||||
|
margin-bottom: 0px; |
||||||
|
} |
||||||
|
|
||||||
|
/* -- figures --------------------------------------------------------------- */ |
||||||
|
|
||||||
|
div.figure { |
||||||
|
margin: 0.5em; |
||||||
|
padding: 0.5em; |
||||||
|
} |
||||||
|
|
||||||
|
div.figure p.caption { |
||||||
|
padding: 0.3em; |
||||||
|
} |
||||||
|
|
||||||
|
div.figure p.caption span.caption-number { |
||||||
|
font-style: italic; |
||||||
|
} |
||||||
|
|
||||||
|
div.figure p.caption span.caption-text { |
||||||
|
} |
||||||
|
|
||||||
|
/* -- field list styles ----------------------------------------------------- */ |
||||||
|
|
||||||
|
table.field-list td, table.field-list th { |
||||||
|
border: 0 !important; |
||||||
|
} |
||||||
|
|
||||||
|
.field-list ul { |
||||||
|
margin: 0; |
||||||
|
padding-left: 1em; |
||||||
|
} |
||||||
|
|
||||||
|
.field-list p { |
||||||
|
margin: 0; |
||||||
|
} |
||||||
|
|
||||||
|
.field-name { |
||||||
|
-moz-hyphens: manual; |
||||||
|
-ms-hyphens: manual; |
||||||
|
-webkit-hyphens: manual; |
||||||
|
hyphens: manual; |
||||||
|
} |
||||||
|
|
||||||
|
/* -- hlist styles ---------------------------------------------------------- */ |
||||||
|
|
||||||
|
table.hlist { |
||||||
|
margin: 1em 0; |
||||||
|
} |
||||||
|
|
||||||
|
table.hlist td { |
||||||
|
vertical-align: top; |
||||||
|
} |
||||||
|
|
||||||
|
|
||||||
|
/* -- other body styles ----------------------------------------------------- */ |
||||||
|
|
||||||
|
ol.arabic { |
||||||
|
list-style: decimal; |
||||||
|
} |
||||||
|
|
||||||
|
ol.loweralpha { |
||||||
|
list-style: lower-alpha; |
||||||
|
} |
||||||
|
|
||||||
|
ol.upperalpha { |
||||||
|
list-style: upper-alpha; |
||||||
|
} |
||||||
|
|
||||||
|
ol.lowerroman { |
||||||
|
list-style: lower-roman; |
||||||
|
} |
||||||
|
|
||||||
|
ol.upperroman { |
||||||
|
list-style: upper-roman; |
||||||
|
} |
||||||
|
|
||||||
|
:not(li) > ol > li:first-child > :first-child, |
||||||
|
:not(li) > ul > li:first-child > :first-child { |
||||||
|
margin-top: 0px; |
||||||
|
} |
||||||
|
|
||||||
|
:not(li) > ol > li:last-child > :last-child, |
||||||
|
:not(li) > ul > li:last-child > :last-child { |
||||||
|
margin-bottom: 0px; |
||||||
|
} |
||||||
|
|
||||||
|
ol.simple ol p, |
||||||
|
ol.simple ul p, |
||||||
|
ul.simple ol p, |
||||||
|
ul.simple ul p { |
||||||
|
margin-top: 0; |
||||||
|
} |
||||||
|
|
||||||
|
ol.simple > li:not(:first-child) > p, |
||||||
|
ul.simple > li:not(:first-child) > p { |
||||||
|
margin-top: 0; |
||||||
|
} |
||||||
|
|
||||||
|
ol.simple p, |
||||||
|
ul.simple p { |
||||||
|
margin-bottom: 0; |
||||||
|
} |
||||||
|
|
||||||
|
dl.footnote > dt, |
||||||
|
dl.citation > dt { |
||||||
|
float: left; |
||||||
|
margin-right: 0.5em; |
||||||
|
} |
||||||
|
|
||||||
|
dl.footnote > dd, |
||||||
|
dl.citation > dd { |
||||||
|
margin-bottom: 0em; |
||||||
|
} |
||||||
|
|
||||||
|
dl.footnote > dd:after, |
||||||
|
dl.citation > dd:after { |
||||||
|
content: ""; |
||||||
|
clear: both; |
||||||
|
} |
||||||
|
|
||||||
|
dl.field-list { |
||||||
|
display: grid; |
||||||
|
grid-template-columns: fit-content(30%) auto; |
||||||
|
} |
||||||
|
|
||||||
|
dl.field-list > dt { |
||||||
|
font-weight: bold; |
||||||
|
word-break: break-word; |
||||||
|
padding-left: 0.5em; |
||||||
|
padding-right: 5px; |
||||||
|
} |
||||||
|
|
||||||
|
dl.field-list > dt:after { |
||||||
|
content: ":"; |
||||||
|
} |
||||||
|
|
||||||
|
dl.field-list > dd { |
||||||
|
padding-left: 0.5em; |
||||||
|
margin-top: 0em; |
||||||
|
margin-left: 0em; |
||||||
|
margin-bottom: 0em; |
||||||
|
} |
||||||
|
|
||||||
|
dl { |
||||||
|
margin-bottom: 15px; |
||||||
|
} |
||||||
|
|
||||||
|
dd > :first-child { |
||||||
|
margin-top: 0px; |
||||||
|
} |
||||||
|
|
||||||
|
dd ul, dd table { |
||||||
|
margin-bottom: 10px; |
||||||
|
} |
||||||
|
|
||||||
|
dd { |
||||||
|
margin-top: 3px; |
||||||
|
margin-bottom: 10px; |
||||||
|
margin-left: 30px; |
||||||
|
} |
||||||
|
|
||||||
|
dl > dd:last-child, |
||||||
|
dl > dd:last-child > :last-child { |
||||||
|
margin-bottom: 0; |
||||||
|
} |
||||||
|
|
||||||
|
dt:target, span.highlighted { |
||||||
|
background-color: #fbe54e; |
||||||
|
} |
||||||
|
|
||||||
|
rect.highlighted { |
||||||
|
fill: #fbe54e; |
||||||
|
} |
||||||
|
|
||||||
|
dl.glossary dt { |
||||||
|
font-weight: bold; |
||||||
|
font-size: 1.1em; |
||||||
|
} |
||||||
|
|
||||||
|
.optional { |
||||||
|
font-size: 1.3em; |
||||||
|
} |
||||||
|
|
||||||
|
.sig-paren { |
||||||
|
font-size: larger; |
||||||
|
} |
||||||
|
|
||||||
|
.versionmodified { |
||||||
|
font-style: italic; |
||||||
|
} |
||||||
|
|
||||||
|
.system-message { |
||||||
|
background-color: #fda; |
||||||
|
padding: 5px; |
||||||
|
border: 3px solid red; |
||||||
|
} |
||||||
|
|
||||||
|
.footnote:target { |
||||||
|
background-color: #ffa; |
||||||
|
} |
||||||
|
|
||||||
|
.line-block { |
||||||
|
display: block; |
||||||
|
margin-top: 1em; |
||||||
|
margin-bottom: 1em; |
||||||
|
} |
||||||
|
|
||||||
|
.line-block .line-block { |
||||||
|
margin-top: 0; |
||||||
|
margin-bottom: 0; |
||||||
|
margin-left: 1.5em; |
||||||
|
} |
||||||
|
|
||||||
|
.guilabel, .menuselection { |
||||||
|
font-family: sans-serif; |
||||||
|
} |
||||||
|
|
||||||
|
.accelerator { |
||||||
|
text-decoration: underline; |
||||||
|
} |
||||||
|
|
||||||
|
.classifier { |
||||||
|
font-style: oblique; |
||||||
|
} |
||||||
|
|
||||||
|
.classifier:before { |
||||||
|
font-style: normal; |
||||||
|
margin: 0.5em; |
||||||
|
content: ":"; |
||||||
|
} |
||||||
|
|
||||||
|
abbr, acronym { |
||||||
|
border-bottom: dotted 1px; |
||||||
|
cursor: help; |
||||||
|
} |
||||||
|
|
||||||
|
/* -- code displays --------------------------------------------------------- */ |
||||||
|
|
||||||
|
pre { |
||||||
|
overflow: auto; |
||||||
|
overflow-y: hidden; /* fixes display issues on Chrome browsers */ |
||||||
|
} |
||||||
|
|
||||||
|
pre, div[class*="highlight-"] { |
||||||
|
clear: both; |
||||||
|
} |
||||||
|
|
||||||
|
span.pre { |
||||||
|
-moz-hyphens: none; |
||||||
|
-ms-hyphens: none; |
||||||
|
-webkit-hyphens: none; |
||||||
|
hyphens: none; |
||||||
|
} |
||||||
|
|
||||||
|
div[class*="highlight-"] { |
||||||
|
margin: 1em 0; |
||||||
|
} |
||||||
|
|
||||||
|
td.linenos pre { |
||||||
|
border: 0; |
||||||
|
background-color: transparent; |
||||||
|
color: #aaa; |
||||||
|
} |
||||||
|
|
||||||
|
table.highlighttable { |
||||||
|
display: block; |
||||||
|
} |
||||||
|
|
||||||
|
table.highlighttable tbody { |
||||||
|
display: block; |
||||||
|
} |
||||||
|
|
||||||
|
table.highlighttable tr { |
||||||
|
display: flex; |
||||||
|
} |
||||||
|
|
||||||
|
table.highlighttable td { |
||||||
|
margin: 0; |
||||||
|
padding: 0; |
||||||
|
} |
||||||
|
|
||||||
|
table.highlighttable td.linenos { |
||||||
|
padding-right: 0.5em; |
||||||
|
} |
||||||
|
|
||||||
|
table.highlighttable td.code { |
||||||
|
flex: 1; |
||||||
|
overflow: hidden; |
||||||
|
} |
||||||
|
|
||||||
|
.highlight .hll { |
||||||
|
display: block; |
||||||
|
} |
||||||
|
|
||||||
|
div.highlight pre, |
||||||
|
table.highlighttable pre { |
||||||
|
margin: 0; |
||||||
|
} |
||||||
|
|
||||||
|
div.code-block-caption + div { |
||||||
|
margin-top: 0; |
||||||
|
} |
||||||
|
|
||||||
|
div.code-block-caption { |
||||||
|
margin-top: 1em; |
||||||
|
padding: 2px 5px; |
||||||
|
font-size: small; |
||||||
|
} |
||||||
|
|
||||||
|
div.code-block-caption code { |
||||||
|
background-color: transparent; |
||||||
|
} |
||||||
|
|
||||||
|
table.highlighttable td.linenos, |
||||||
|
span.linenos, |
||||||
|
div.doctest > div.highlight span.gp { /* gp: Generic.Prompt */ |
||||||
|
user-select: none; |
||||||
|
} |
||||||
|
|
||||||
|
div.code-block-caption span.caption-number { |
||||||
|
padding: 0.1em 0.3em; |
||||||
|
font-style: italic; |
||||||
|
} |
||||||
|
|
||||||
|
div.code-block-caption span.caption-text { |
||||||
|
} |
||||||
|
|
||||||
|
div.literal-block-wrapper { |
||||||
|
margin: 1em 0; |
||||||
|
} |
||||||
|
|
||||||
|
code.descname { |
||||||
|
background-color: transparent; |
||||||
|
font-weight: bold; |
||||||
|
font-size: 1.2em; |
||||||
|
} |
||||||
|
|
||||||
|
code.descclassname { |
||||||
|
background-color: transparent; |
||||||
|
} |
||||||
|
|
||||||
|
code.xref, a code { |
||||||
|
background-color: transparent; |
||||||
|
font-weight: bold; |
||||||
|
} |
||||||
|
|
||||||
|
h1 code, h2 code, h3 code, h4 code, h5 code, h6 code { |
||||||
|
background-color: transparent; |
||||||
|
} |
||||||
|
|
||||||
|
.viewcode-link { |
||||||
|
float: right; |
||||||
|
} |
||||||
|
|
||||||
|
.viewcode-back { |
||||||
|
float: right; |
||||||
|
font-family: sans-serif; |
||||||
|
} |
||||||
|
|
||||||
|
div.viewcode-block:target { |
||||||
|
margin: -1px -10px; |
||||||
|
padding: 0 10px; |
||||||
|
} |
||||||
|
|
||||||
|
/* -- math display ---------------------------------------------------------- */ |
||||||
|
|
||||||
|
img.math { |
||||||
|
vertical-align: middle; |
||||||
|
} |
||||||
|
|
||||||
|
div.body div.math p { |
||||||
|
text-align: center; |
||||||
|
} |
||||||
|
|
||||||
|
span.eqno { |
||||||
|
float: right; |
||||||
|
} |
||||||
|
|
||||||
|
span.eqno a.headerlink { |
||||||
|
position: absolute; |
||||||
|
z-index: 1; |
||||||
|
} |
||||||
|
|
||||||
|
div.math:hover a.headerlink { |
||||||
|
visibility: visible; |
||||||
|
} |
||||||
|
|
||||||
|
/* -- printout stylesheet --------------------------------------------------- */ |
||||||
|
|
||||||
|
@media print { |
||||||
|
div.document, |
||||||
|
div.documentwrapper, |
||||||
|
div.bodywrapper { |
||||||
|
margin: 0 !important; |
||||||
|
width: 100%; |
||||||
|
} |
||||||
|
|
||||||
|
div.sphinxsidebar, |
||||||
|
div.related, |
||||||
|
div.footer, |
||||||
|
#top-link { |
||||||
|
display: none; |
||||||
|
} |
||||||
|
} |
||||||
Some files were not shown because too many files have changed in this diff Show More
Reference in new issue