Old engine for Continuous Time Bayesian Networks. Superseded by reCTBN. 🐍
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<li><a class="reference internal" href="#">conditional_intensity_matrix module</a></li>
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<div class="section" id="module-conditional_intensity_matrix">
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<span id="conditional-intensity-matrix-module"></span><h1>conditional_intensity_matrix module<a class="headerlink" href="#module-conditional_intensity_matrix" title="Permalink to this headline">¶</a></h1>
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<dl class="py class">
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<dt id="conditional_intensity_matrix.ConditionalIntensityMatrix">
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<em class="property">class </em><code class="sig-prename descclassname">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="#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>
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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>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>
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</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="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="#conditional_intensity_matrix.ConditionalIntensityMatrix.cim" 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="conditional_intensity_matrix.ConditionalIntensityMatrix.compute_cim_coefficients">
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<code class="sig-name descname">compute_cim_coefficients</code><span class="sig-paren">(</span><span class="sig-paren">)</span> → None<a class="headerlink" href="#conditional_intensity_matrix.ConditionalIntensityMatrix.compute_cim_coefficients" title="Permalink to this definition">¶</a></dt>
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<dd><p>Compute the coefficients of the matrix _cim by using the following equality q_xx’ = M[x, x’] / T[x].
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The class member <code class="docutils literal notranslate"><span class="pre">_cim</span></code> will contain the computed cim</p>
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</dd></dl>
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<dl class="py method">
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<dt id="conditional_intensity_matrix.ConditionalIntensityMatrix.state_residence_times">
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<em class="property">property </em><code class="sig-name descname">state_residence_times</code><a class="headerlink" href="#conditional_intensity_matrix.ConditionalIntensityMatrix.state_residence_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="conditional_intensity_matrix.ConditionalIntensityMatrix.state_transition_matrix">
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<em class="property">property </em><code class="sig-name descname">state_transition_matrix</code><a class="headerlink" href="#conditional_intensity_matrix.ConditionalIntensityMatrix.state_transition_matrix" title="Permalink to this definition">¶</a></dt>
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