Old engine for Continuous Time Bayesian Networks. Superseded by reCTBN. 🐍
https://github.com/madlabunimib/PyCTBN
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333 lines
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333 lines
16 KiB
4 years ago
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<div class="section" id="module-abstract_importer">
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<span id="abstract-importer-module"></span><h1>abstract_importer module<a class="headerlink" href="#module-abstract_importer" title="Permalink to this headline">¶</a></h1>
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<dl class="py class">
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<dt id="abstract_importer.AbstractImporter">
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<em class="property">class </em><code class="sig-prename descclassname">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></em><span class="sig-paren">)</span><a class="headerlink" href="#abstract_importer.AbstractImporter" 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">abc.ABC</span></code></p>
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<p>Abstract class that exposes all the necessary methods to process the trajectories and the net structure.</p>
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<dl class="field-list simple">
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<dt class="field-odd">Parameters</dt>
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<dd class="field-odd"><p><strong>file_path</strong> (<em>str</em>) – the file path</p>
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</dd>
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<dt class="field-even">_concatenated_samples</dt>
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<dd class="field-even"><p>Dataframe containing the concatenation of all the processed trajectories</p>
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</dd>
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<dt class="field-odd">_df_structure</dt>
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<dd class="field-odd"><p>Dataframe containing the structure of the network (edges)</p>
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</dd>
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<dt class="field-even">_df_variables</dt>
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<dd class="field-even"><p>Dataframe containing the nodes cardinalities</p>
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</dd>
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<dt class="field-odd">_sorter</dt>
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<dd class="field-odd"><p>A list containing the columns header (excluding the time column) of the <cite>_concatenated_samples</cite></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="abstract_importer.AbstractImporter.build_list_of_samples_array">
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<code class="sig-name descname">build_list_of_samples_array</code><span class="sig-paren">(</span><em class="sig-param"><span class="n">data_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="#abstract_importer.AbstractImporter.build_list_of_samples_array" title="Permalink to this definition">¶</a></dt>
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<dd><p>Builds a List containing the columns of data_frame and converts them to a numpy array.</p>
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<dl class="field-list simple">
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<dt class="field-odd">Parameters</dt>
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<dd class="field-odd"><p><strong>data_frame</strong> (<em>pandas.Dataframe</em>) – the dataframe from which the columns have to be extracted and converted</p>
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</dd>
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<dt class="field-even">Returns</dt>
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<dd class="field-even"><p>the resulting list of numpy arrays</p>
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</dd>
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<dt class="field-odd">Return type</dt>
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<dd class="field-odd"><p>List</p>
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</dd>
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</dl>
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</dd></dl>
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<dl class="py method">
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<dt id="abstract_importer.AbstractImporter.build_sorter">
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<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">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="#abstract_importer.AbstractImporter.build_sorter" title="Permalink to this definition">¶</a></dt>
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<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
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and keeping ONLY the variables symbolic labels, cutting out the time label in the header.</p>
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<dl class="field-list simple">
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<dt class="field-odd">Parameters</dt>
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<dd class="field-odd"><p><strong>sample_frame</strong> (<em>pandas.DataFrame</em>) – The dataframe from which extract the header</p>
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</dd>
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<dt class="field-even">Returns</dt>
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<dd class="field-even"><p>A list containing the processed header.</p>
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</dd>
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<dt class="field-odd">Return type</dt>
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<dd class="field-odd"><p>List</p>
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</dd>
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</dl>
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</dd></dl>
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<dl class="py method">
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<dt id="abstract_importer.AbstractImporter.clear_concatenated_frame">
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<code class="sig-name descname">clear_concatenated_frame</code><span class="sig-paren">(</span><span class="sig-paren">)</span> → None<a class="headerlink" href="#abstract_importer.AbstractImporter.clear_concatenated_frame" title="Permalink to this definition">¶</a></dt>
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<dd><p>Removes all values in the dataframe concatenated_samples.</p>
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</dd></dl>
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<dl class="py method">
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<dt id="abstract_importer.AbstractImporter.compute_row_delta_in_all_samples_frames">
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<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="#abstract_importer.AbstractImporter.compute_row_delta_in_all_samples_frames" title="Permalink to this definition">¶</a></dt>
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<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
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<code class="docutils literal notranslate"><span class="pre">df_samples_list</span></code>.
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Concatenates the result in the dataframe <code class="docutils literal notranslate"><span class="pre">concatanated_samples</span></code></p>
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<dl class="field-list simple">
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<dt class="field-odd">Parameters</dt>
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<dd class="field-odd"><p><strong>df_samples_list</strong> (<em>List</em>) – the datframe’s list to be processed and concatenated</p>
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</dd>
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</dl>
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<div class="admonition warning">
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<p class="admonition-title">Warning</p>
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<p>The Dataframe sample_frame has to follow the column structure of this header:
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Header of sample_frame = [Time | Variable values]
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The class member self._sorter HAS to be properly INITIALIZED (See class members definition doc)</p>
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</div>
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<div class="admonition note">
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<p class="admonition-title">Note</p>
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<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
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and merged trajectories</p>
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</div>
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</dd></dl>
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<dl class="py method">
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<dt id="abstract_importer.AbstractImporter.compute_row_delta_sigle_samples_frame">
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<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="#abstract_importer.AbstractImporter.compute_row_delta_sigle_samples_frame" title="Permalink to this definition">¶</a></dt>
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<dd><p>Computes the difference between each value present in th time column.
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Copies and shift by one position up all the values present in the remaining columns.</p>
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<dl class="field-list simple">
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<dt class="field-odd">Parameters</dt>
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<dd class="field-odd"><ul class="simple">
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<li><p><strong>sample_frame</strong> (<em>pandas.Dataframe</em>) – the traj to be processed</p></li>
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<li><p><strong>columns_header</strong> (<em>List</em>) – the original header of sample_frame</p></li>
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<li><p><strong>shifted_cols_header</strong> (<em>List</em>) – a copy of columns_header with changed names of the contents</p></li>
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</ul>
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</dd>
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<dt class="field-even">Returns</dt>
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<dd class="field-even"><p>The processed dataframe</p>
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</dd>
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<dt class="field-odd">Return type</dt>
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<dd class="field-odd"><p>pandas.Dataframe</p>
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</dd>
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</dl>
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<div class="admonition warning">
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<p class="admonition-title">Warning</p>
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<p>the Dataframe <code class="docutils literal notranslate"><span class="pre">sample_frame</span></code> has to follow the column structure of this header:
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Header of sample_frame = [Time | Variable values]</p>
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</div>
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</dd></dl>
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<dl class="py method">
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<dt id="abstract_importer.AbstractImporter.concatenated_samples">
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<em class="property">property </em><code class="sig-name descname">concatenated_samples</code><a class="headerlink" href="#abstract_importer.AbstractImporter.concatenated_samples" 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="abstract_importer.AbstractImporter.dataset_id">
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<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="#abstract_importer.AbstractImporter.dataset_id" title="Permalink to this definition">¶</a></dt>
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<dd><p>If the original dataset contains multiple dataset, this method returns a unique id to identify the current
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dataset</p>
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</dd></dl>
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<dl class="py method">
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<dt id="abstract_importer.AbstractImporter.file_path">
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<em class="property">property </em><code class="sig-name descname">file_path</code><a class="headerlink" href="#abstract_importer.AbstractImporter.file_path" 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="abstract_importer.AbstractImporter.import_data">
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<em class="property">abstract </em><code class="sig-name descname">import_data</code><span class="sig-paren">(</span><span class="sig-paren">)</span> → None<a class="headerlink" href="#abstract_importer.AbstractImporter.import_data" title="Permalink to this definition">¶</a></dt>
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<dd><p>Imports all the trajectories, variables cardinalities, and net edges.</p>
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<div class="admonition warning">
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<p class="admonition-title">Warning</p>
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<p>The class members <code class="docutils literal notranslate"><span class="pre">_df_variables</span></code> and <code class="docutils literal notranslate"><span class="pre">_df_structure</span></code> HAVE to be properly constructed
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as Pandas Dataframes with the following structure:
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Header of _df_structure = [From_Node | To_Node]
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Header of _df_variables = [Variable_Label | Variable_Cardinality]</p>
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</div>
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<div class="admonition note">
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<p class="admonition-title">Note</p>
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<p>See :class:<code class="docutils literal notranslate"><span class="pre">JsonImporter</span></code> for an example of implementation of this method.</p>
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</div>
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</dd></dl>
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<dl class="py method">
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<dt id="abstract_importer.AbstractImporter.sorter">
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<em class="property">property </em><code class="sig-name descname">sorter</code><a class="headerlink" href="#abstract_importer.AbstractImporter.sorter" 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="abstract_importer.AbstractImporter.structure">
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<em class="property">property </em><code class="sig-name descname">structure</code><a class="headerlink" href="#abstract_importer.AbstractImporter.structure" 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="abstract_importer.AbstractImporter.variables">
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<em class="property">property </em><code class="sig-name descname">variables</code><a class="headerlink" href="#abstract_importer.AbstractImporter.variables" 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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