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<title>pyFTS.partitioners package &#8212; pyFTS 1.4 documentation</title>
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<li><a class="reference internal" href="#">pyFTS.partitioners package</a><ul>
<li><a class="reference internal" href="#module-pyFTS.partitioners">Module contents</a></li>
<li><a class="reference internal" href="#submodules">Submodules</a></li>
<li><a class="reference internal" href="#module-pyFTS.partitioners.partitioner">pyFTS.partitioners.partitioner module</a></li>
<li><a class="reference internal" href="#module-pyFTS.partitioners.CMeans">pyFTS.partitioners.CMeans module</a></li>
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<li><a class="reference internal" href="#module-pyFTS.partitioners.Entropy">pyFTS.partitioners.Entropy module</a></li>
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<li><a class="reference internal" href="#module-pyFTS.partitioners.FCM">pyFTS.partitioners.FCM module</a></li>
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<li><a class="reference internal" href="#module-pyFTS.partitioners.Grid">pyFTS.partitioners.Grid module</a></li>
<li><a class="reference internal" href="#module-pyFTS.partitioners.Huarng">pyFTS.partitioners.Huarng module</a></li>
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<li><a class="reference internal" href="#module-pyFTS.partitioners.Singleton">pyFTS.partitioners.Singleton module</a></li>
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<li><a class="reference internal" href="#module-pyFTS.partitioners.Util">pyFTS.partitioners.Util module</a></li>
<li><a class="reference internal" href="#module-pyFTS.partitioners.parallel_util">pyFTS.partitioners.parallel_util module</a></li>
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<div class="section" id="pyfts-partitioners-package">
<h1>pyFTS.partitioners package<a class="headerlink" href="#pyfts-partitioners-package" title="Permalink to this headline"></a></h1>
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<div class="section" id="module-pyFTS.partitioners">
<span id="module-contents"></span><h2>Module contents<a class="headerlink" href="#module-pyFTS.partitioners" title="Permalink to this headline"></a></h2>
<p>Module for pyFTS Universe of Discourse partitioners.</p>
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<div class="section" id="module-pyFTS.partitioners.partitioner">
<span id="pyfts-partitioners-partitioner-module"></span><h2>pyFTS.partitioners.partitioner module<a class="headerlink" href="#module-pyFTS.partitioners.partitioner" title="Permalink to this headline"></a></h2>
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<dl class="class">
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<dt id="pyFTS.partitioners.partitioner.Partitioner">
<em class="property">class </em><code class="descclassname">pyFTS.partitioners.partitioner.</code><code class="descname">Partitioner</code><span class="sig-paren">(</span><em>**kwargs</em><span class="sig-paren">)</span><a class="reference internal" href="_modules/pyFTS/partitioners/partitioner.html#Partitioner"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#pyFTS.partitioners.partitioner.Partitioner" title="Permalink to this definition"></a></dt>
<dd><p>Bases: <a class="reference external" href="https://docs.python.org/3/library/functions.html#object" title="(in Python v3.7)"><code class="xref py py-class docutils literal notranslate"><span class="pre">object</span></code></a></p>
<p>Universe of Discourse partitioner. Split data on several fuzzy sets</p>
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<dl class="method">
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<dt id="pyFTS.partitioners.partitioner.Partitioner.build">
<code class="descname">build</code><span class="sig-paren">(</span><em>data</em><span class="sig-paren">)</span><a class="reference internal" href="_modules/pyFTS/partitioners/partitioner.html#Partitioner.build"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#pyFTS.partitioners.partitioner.Partitioner.build" title="Permalink to this definition"></a></dt>
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<dd><p>Perform the partitioning of the Universe of Discourse</p>
<table class="docutils field-list" frame="void" rules="none">
<col class="field-name" />
<col class="field-body" />
<tbody valign="top">
<tr class="field-odd field"><th class="field-name">Parameters:</th><td class="field-body"><strong>data</strong> – training data</td>
</tr>
<tr class="field-even field"><th class="field-name">Returns:</th><td class="field-body"></td>
</tr>
</tbody>
</table>
</dd></dl>
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<dl class="attribute">
<dt id="pyFTS.partitioners.partitioner.Partitioner.extractor">
<code class="descname">extractor</code><em class="property"> = None</em><a class="headerlink" href="#pyFTS.partitioners.partitioner.Partitioner.extractor" title="Permalink to this definition"></a></dt>
<dd><p>Anonymous function used to extract a single primitive type from an object instance</p>
</dd></dl>
<dl class="method">
<dt id="pyFTS.partitioners.partitioner.Partitioner.fuzzyfy">
<code class="descname">fuzzyfy</code><span class="sig-paren">(</span><em>data</em>, <em>**kwargs</em><span class="sig-paren">)</span><a class="reference internal" href="_modules/pyFTS/partitioners/partitioner.html#Partitioner.fuzzyfy"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#pyFTS.partitioners.partitioner.Partitioner.fuzzyfy" title="Permalink to this definition"></a></dt>
<dd></dd></dl>
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<dl class="method">
<dt id="pyFTS.partitioners.partitioner.Partitioner.get_name">
<code class="descname">get_name</code><span class="sig-paren">(</span><em>counter</em><span class="sig-paren">)</span><a class="reference internal" href="_modules/pyFTS/partitioners/partitioner.html#Partitioner.get_name"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#pyFTS.partitioners.partitioner.Partitioner.get_name" title="Permalink to this definition"></a></dt>
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<dd><p>Find the name of the fuzzy set given its counter id.</p>
<table class="docutils field-list" frame="void" rules="none">
<col class="field-name" />
<col class="field-body" />
<tbody valign="top">
<tr class="field-odd field"><th class="field-name">Parameters:</th><td class="field-body"><strong>counter</strong> – The number of the fuzzy set</td>
</tr>
<tr class="field-even field"><th class="field-name">Returns:</th><td class="field-body">String</td>
</tr>
</tbody>
</table>
</dd></dl>
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<dl class="method">
<dt id="pyFTS.partitioners.partitioner.Partitioner.lower_set">
<code class="descname">lower_set</code><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="reference internal" href="_modules/pyFTS/partitioners/partitioner.html#Partitioner.lower_set"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#pyFTS.partitioners.partitioner.Partitioner.lower_set" title="Permalink to this definition"></a></dt>
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<dd><p>Return the fuzzy set on lower bound of the universe of discourse.</p>
<table class="docutils field-list" frame="void" rules="none">
<col class="field-name" />
<col class="field-body" />
<tbody valign="top">
<tr class="field-odd field"><th class="field-name">Returns:</th><td class="field-body">Fuzzy Set</td>
</tr>
</tbody>
</table>
</dd></dl>
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<dl class="attribute">
<dt id="pyFTS.partitioners.partitioner.Partitioner.membership_function">
<code class="descname">membership_function</code><em class="property"> = None</em><a class="headerlink" href="#pyFTS.partitioners.partitioner.Partitioner.membership_function" title="Permalink to this definition"></a></dt>
<dd><p>Fuzzy membership function (pyFTS.common.Membership)</p>
</dd></dl>
<dl class="attribute">
<dt id="pyFTS.partitioners.partitioner.Partitioner.name">
<code class="descname">name</code><em class="property"> = None</em><a class="headerlink" href="#pyFTS.partitioners.partitioner.Partitioner.name" title="Permalink to this definition"></a></dt>
<dd><p>partitioner name</p>
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</dd></dl>
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<dl class="attribute">
<dt id="pyFTS.partitioners.partitioner.Partitioner.partitions">
<code class="descname">partitions</code><em class="property"> = None</em><a class="headerlink" href="#pyFTS.partitioners.partitioner.Partitioner.partitions" title="Permalink to this definition"></a></dt>
<dd><p>The number of universe of discourse partitions, i.e., the number of fuzzy sets that will be created</p>
</dd></dl>
<dl class="method">
<dt id="pyFTS.partitioners.partitioner.Partitioner.plot">
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<code class="descname">plot</code><span class="sig-paren">(</span><em>ax</em>, <em>rounding=0</em><span class="sig-paren">)</span><a class="reference internal" href="_modules/pyFTS/partitioners/partitioner.html#Partitioner.plot"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#pyFTS.partitioners.partitioner.Partitioner.plot" title="Permalink to this definition"></a></dt>
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<dd><p>Plot the partitioning using the Matplotlib axis ax</p>
<table class="docutils field-list" frame="void" rules="none">
<col class="field-name" />
<col class="field-body" />
<tbody valign="top">
<tr class="field-odd field"><th class="field-name">Parameters:</th><td class="field-body"><strong>ax</strong> – Matplotlib axis</td>
</tr>
</tbody>
</table>
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</dd></dl>
<dl class="method">
<dt id="pyFTS.partitioners.partitioner.Partitioner.plot_set">
<code class="descname">plot_set</code><span class="sig-paren">(</span><em>ax</em>, <em>s</em><span class="sig-paren">)</span><a class="reference internal" href="_modules/pyFTS/partitioners/partitioner.html#Partitioner.plot_set"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#pyFTS.partitioners.partitioner.Partitioner.plot_set" title="Permalink to this definition"></a></dt>
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<dd><p>Plot an isolate fuzzy set on Matplotlib axis</p>
<table class="docutils field-list" frame="void" rules="none">
<col class="field-name" />
<col class="field-body" />
<tbody valign="top">
<tr class="field-odd field"><th class="field-name">Parameters:</th><td class="field-body"><ul class="first last simple">
<li><strong>ax</strong> – Matplotlib axis</li>
<li><strong>s</strong> – Fuzzy Set</li>
</ul>
</td>
</tr>
</tbody>
</table>
</dd></dl>
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<dl class="attribute">
<dt id="pyFTS.partitioners.partitioner.Partitioner.prefix">
<code class="descname">prefix</code><em class="property"> = None</em><a class="headerlink" href="#pyFTS.partitioners.partitioner.Partitioner.prefix" title="Permalink to this definition"></a></dt>
<dd><p>prefix of auto generated partition names</p>
</dd></dl>
<dl class="attribute">
<dt id="pyFTS.partitioners.partitioner.Partitioner.setnames">
<code class="descname">setnames</code><em class="property"> = None</em><a class="headerlink" href="#pyFTS.partitioners.partitioner.Partitioner.setnames" title="Permalink to this definition"></a></dt>
<dd><p>list of partitions names. If None is given the partitions will be auto named with prefix</p>
</dd></dl>
<dl class="attribute">
<dt id="pyFTS.partitioners.partitioner.Partitioner.transformation">
<code class="descname">transformation</code><em class="property"> = None</em><a class="headerlink" href="#pyFTS.partitioners.partitioner.Partitioner.transformation" title="Permalink to this definition"></a></dt>
<dd><p>data transformation to be applied on data</p>
</dd></dl>
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<dl class="attribute">
<dt id="pyFTS.partitioners.partitioner.Partitioner.type">
<code class="descname">type</code><em class="property"> = None</em><a class="headerlink" href="#pyFTS.partitioners.partitioner.Partitioner.type" title="Permalink to this definition"></a></dt>
<dd><p>The type of fuzzy sets that are generated by this partitioner</p>
</dd></dl>
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<dl class="method">
<dt id="pyFTS.partitioners.partitioner.Partitioner.upper_set">
<code class="descname">upper_set</code><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="reference internal" href="_modules/pyFTS/partitioners/partitioner.html#Partitioner.upper_set"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#pyFTS.partitioners.partitioner.Partitioner.upper_set" title="Permalink to this definition"></a></dt>
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<dd><p>Return the fuzzy set on upper bound of the universe of discourse.</p>
<table class="docutils field-list" frame="void" rules="none">
<col class="field-name" />
<col class="field-body" />
<tbody valign="top">
<tr class="field-odd field"><th class="field-name">Returns:</th><td class="field-body">Fuzzy Set</td>
</tr>
</tbody>
</table>
</dd></dl>
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<dl class="attribute">
<dt id="pyFTS.partitioners.partitioner.Partitioner.variable">
<code class="descname">variable</code><em class="property"> = None</em><a class="headerlink" href="#pyFTS.partitioners.partitioner.Partitioner.variable" title="Permalink to this definition"></a></dt>
<dd><p>In a multivariate context, the variable that contains this partitioner</p>
</dd></dl>
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</dd></dl>
</div>
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<div class="section" id="module-pyFTS.partitioners.CMeans">
<span id="pyfts-partitioners-cmeans-module"></span><h2>pyFTS.partitioners.CMeans module<a class="headerlink" href="#module-pyFTS.partitioners.CMeans" title="Permalink to this headline"></a></h2>
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<dl class="class">
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<dt id="pyFTS.partitioners.CMeans.CMeansPartitioner">
<em class="property">class </em><code class="descclassname">pyFTS.partitioners.CMeans.</code><code class="descname">CMeansPartitioner</code><span class="sig-paren">(</span><em>**kwargs</em><span class="sig-paren">)</span><a class="reference internal" href="_modules/pyFTS/partitioners/CMeans.html#CMeansPartitioner"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#pyFTS.partitioners.CMeans.CMeansPartitioner" title="Permalink to this definition"></a></dt>
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<dd><p>Bases: <a class="reference internal" href="#pyFTS.partitioners.partitioner.Partitioner" title="pyFTS.partitioners.partitioner.Partitioner"><code class="xref py py-class docutils literal notranslate"><span class="pre">pyFTS.partitioners.partitioner.Partitioner</span></code></a></p>
<dl class="method">
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<dt id="pyFTS.partitioners.CMeans.CMeansPartitioner.build">
<code class="descname">build</code><span class="sig-paren">(</span><em>data</em><span class="sig-paren">)</span><a class="reference internal" href="_modules/pyFTS/partitioners/CMeans.html#CMeansPartitioner.build"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#pyFTS.partitioners.CMeans.CMeansPartitioner.build" title="Permalink to this definition"></a></dt>
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<dd><p>Perform the partitioning of the Universe of Discourse</p>
<table class="docutils field-list" frame="void" rules="none">
<col class="field-name" />
<col class="field-body" />
<tbody valign="top">
<tr class="field-odd field"><th class="field-name">Parameters:</th><td class="field-body"><strong>data</strong> – training data</td>
</tr>
<tr class="field-even field"><th class="field-name">Returns:</th><td class="field-body"></td>
</tr>
</tbody>
</table>
</dd></dl>
</dd></dl>
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<dl class="function">
<dt id="pyFTS.partitioners.CMeans.c_means">
<code class="descclassname">pyFTS.partitioners.CMeans.</code><code class="descname">c_means</code><span class="sig-paren">(</span><em>k</em>, <em>dados</em>, <em>tam</em><span class="sig-paren">)</span><a class="reference internal" href="_modules/pyFTS/partitioners/CMeans.html#c_means"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#pyFTS.partitioners.CMeans.c_means" title="Permalink to this definition"></a></dt>
<dd></dd></dl>
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<dl class="function">
<dt id="pyFTS.partitioners.CMeans.distance">
<code class="descclassname">pyFTS.partitioners.CMeans.</code><code class="descname">distance</code><span class="sig-paren">(</span><em>x</em>, <em>y</em><span class="sig-paren">)</span><a class="reference internal" href="_modules/pyFTS/partitioners/CMeans.html#distance"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#pyFTS.partitioners.CMeans.distance" title="Permalink to this definition"></a></dt>
<dd></dd></dl>
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</div>
<div class="section" id="module-pyFTS.partitioners.Entropy">
<span id="pyfts-partitioners-entropy-module"></span><h2>pyFTS.partitioners.Entropy module<a class="headerlink" href="#module-pyFTS.partitioners.Entropy" title="Permalink to this headline"></a></h2>
<p>C. H. Cheng, R. J. Chang, and C. A. Yeh, “Entropy-based and trapezoidal fuzzification-based fuzzy time series approach for forecasting IT project cost,”
Technol. Forecast. Social Change, vol. 73, no. 5, pp. 524–542, Jun. 2006.</p>
<dl class="class">
<dt id="pyFTS.partitioners.Entropy.EntropyPartitioner">
<em class="property">class </em><code class="descclassname">pyFTS.partitioners.Entropy.</code><code class="descname">EntropyPartitioner</code><span class="sig-paren">(</span><em>**kwargs</em><span class="sig-paren">)</span><a class="reference internal" href="_modules/pyFTS/partitioners/Entropy.html#EntropyPartitioner"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#pyFTS.partitioners.Entropy.EntropyPartitioner" title="Permalink to this definition"></a></dt>
<dd><p>Bases: <a class="reference internal" href="#pyFTS.partitioners.partitioner.Partitioner" title="pyFTS.partitioners.partitioner.Partitioner"><code class="xref py py-class docutils literal notranslate"><span class="pre">pyFTS.partitioners.partitioner.Partitioner</span></code></a></p>
<p>Huarng Entropy Partitioner</p>
<dl class="method">
<dt id="pyFTS.partitioners.Entropy.EntropyPartitioner.build">
<code class="descname">build</code><span class="sig-paren">(</span><em>data</em><span class="sig-paren">)</span><a class="reference internal" href="_modules/pyFTS/partitioners/Entropy.html#EntropyPartitioner.build"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#pyFTS.partitioners.Entropy.EntropyPartitioner.build" title="Permalink to this definition"></a></dt>
<dd><p>Perform the partitioning of the Universe of Discourse</p>
<table class="docutils field-list" frame="void" rules="none">
<col class="field-name" />
<col class="field-body" />
<tbody valign="top">
<tr class="field-odd field"><th class="field-name">Parameters:</th><td class="field-body"><strong>data</strong> – training data</td>
</tr>
<tr class="field-even field"><th class="field-name">Returns:</th><td class="field-body"></td>
</tr>
</tbody>
</table>
</dd></dl>
</dd></dl>
<dl class="function">
<dt id="pyFTS.partitioners.Entropy.PMF">
<code class="descclassname">pyFTS.partitioners.Entropy.</code><code class="descname">PMF</code><span class="sig-paren">(</span><em>data</em>, <em>threshold</em><span class="sig-paren">)</span><a class="reference internal" href="_modules/pyFTS/partitioners/Entropy.html#PMF"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#pyFTS.partitioners.Entropy.PMF" title="Permalink to this definition"></a></dt>
<dd></dd></dl>
<dl class="function">
<dt id="pyFTS.partitioners.Entropy.bestSplit">
<code class="descclassname">pyFTS.partitioners.Entropy.</code><code class="descname">bestSplit</code><span class="sig-paren">(</span><em>data</em>, <em>npart</em><span class="sig-paren">)</span><a class="reference internal" href="_modules/pyFTS/partitioners/Entropy.html#bestSplit"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#pyFTS.partitioners.Entropy.bestSplit" title="Permalink to this definition"></a></dt>
<dd></dd></dl>
<dl class="function">
<dt id="pyFTS.partitioners.Entropy.entropy">
<code class="descclassname">pyFTS.partitioners.Entropy.</code><code class="descname">entropy</code><span class="sig-paren">(</span><em>data</em>, <em>threshold</em><span class="sig-paren">)</span><a class="reference internal" href="_modules/pyFTS/partitioners/Entropy.html#entropy"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#pyFTS.partitioners.Entropy.entropy" title="Permalink to this definition"></a></dt>
<dd></dd></dl>
<dl class="function">
<dt id="pyFTS.partitioners.Entropy.informationGain">
<code class="descclassname">pyFTS.partitioners.Entropy.</code><code class="descname">informationGain</code><span class="sig-paren">(</span><em>data</em>, <em>thres1</em>, <em>thres2</em><span class="sig-paren">)</span><a class="reference internal" href="_modules/pyFTS/partitioners/Entropy.html#informationGain"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#pyFTS.partitioners.Entropy.informationGain" title="Permalink to this definition"></a></dt>
<dd></dd></dl>
<dl class="function">
<dt id="pyFTS.partitioners.Entropy.splitAbove">
<code class="descclassname">pyFTS.partitioners.Entropy.</code><code class="descname">splitAbove</code><span class="sig-paren">(</span><em>data</em>, <em>threshold</em><span class="sig-paren">)</span><a class="reference internal" href="_modules/pyFTS/partitioners/Entropy.html#splitAbove"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#pyFTS.partitioners.Entropy.splitAbove" title="Permalink to this definition"></a></dt>
<dd></dd></dl>
<dl class="function">
<dt id="pyFTS.partitioners.Entropy.splitBelow">
<code class="descclassname">pyFTS.partitioners.Entropy.</code><code class="descname">splitBelow</code><span class="sig-paren">(</span><em>data</em>, <em>threshold</em><span class="sig-paren">)</span><a class="reference internal" href="_modules/pyFTS/partitioners/Entropy.html#splitBelow"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#pyFTS.partitioners.Entropy.splitBelow" title="Permalink to this definition"></a></dt>
<dd></dd></dl>
</div>
Documentation update
2018-09-18 23:56:14 +04:00
<div class="section" id="module-pyFTS.partitioners.FCM">
<span id="pyfts-partitioners-fcm-module"></span><h2>pyFTS.partitioners.FCM module<a class="headerlink" href="#module-pyFTS.partitioners.FCM" title="Permalink to this headline"></a></h2>
<p>S. T. Li, Y. C. Cheng, and S. Y. Lin, “A FCM-based deterministic forecasting model for fuzzy time series,”
Comput. Math. Appl., vol. 56, no. 12, pp. 3052–3063, Dec. 2008. DOI: 10.1016/j.camwa.2008.07.033.</p>
Sphinx documentation for ReadTheDocs site
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<dl class="class">
Documentation update
2018-09-18 23:56:14 +04:00
<dt id="pyFTS.partitioners.FCM.FCMPartitioner">
<em class="property">class </em><code class="descclassname">pyFTS.partitioners.FCM.</code><code class="descname">FCMPartitioner</code><span class="sig-paren">(</span><em>**kwargs</em><span class="sig-paren">)</span><a class="reference internal" href="_modules/pyFTS/partitioners/FCM.html#FCMPartitioner"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#pyFTS.partitioners.FCM.FCMPartitioner" title="Permalink to this definition"></a></dt>
Sphinx documentation for ReadTheDocs site
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<dd><p>Bases: <a class="reference internal" href="#pyFTS.partitioners.partitioner.Partitioner" title="pyFTS.partitioners.partitioner.Partitioner"><code class="xref py py-class docutils literal notranslate"><span class="pre">pyFTS.partitioners.partitioner.Partitioner</span></code></a></p>
<dl class="method">
Documentation update
2018-09-18 23:56:14 +04:00
<dt id="pyFTS.partitioners.FCM.FCMPartitioner.build">
<code class="descname">build</code><span class="sig-paren">(</span><em>data</em><span class="sig-paren">)</span><a class="reference internal" href="_modules/pyFTS/partitioners/FCM.html#FCMPartitioner.build"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#pyFTS.partitioners.FCM.FCMPartitioner.build" title="Permalink to this definition"></a></dt>
Sphinx documentation for ReadTheDocs site
2018-08-30 09:05:29 +04:00
<dd><p>Perform the partitioning of the Universe of Discourse</p>
<table class="docutils field-list" frame="void" rules="none">
<col class="field-name" />
<col class="field-body" />
<tbody valign="top">
<tr class="field-odd field"><th class="field-name">Parameters:</th><td class="field-body"><strong>data</strong> – training data</td>
</tr>
<tr class="field-even field"><th class="field-name">Returns:</th><td class="field-body"></td>
</tr>
</tbody>
</table>
</dd></dl>
</dd></dl>
<dl class="function">
Documentation update
2018-09-18 23:56:14 +04:00
<dt id="pyFTS.partitioners.FCM.fuzzy_cmeans">
<code class="descclassname">pyFTS.partitioners.FCM.</code><code class="descname">fuzzy_cmeans</code><span class="sig-paren">(</span><em>k</em>, <em>dados</em>, <em>tam</em>, <em>m</em>, <em>deltadist=0.001</em><span class="sig-paren">)</span><a class="reference internal" href="_modules/pyFTS/partitioners/FCM.html#fuzzy_cmeans"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#pyFTS.partitioners.FCM.fuzzy_cmeans" title="Permalink to this definition"></a></dt>
Sphinx documentation for ReadTheDocs site
2018-08-30 09:05:29 +04:00
<dd></dd></dl>
<dl class="function">
Documentation update
2018-09-18 23:56:14 +04:00
<dt id="pyFTS.partitioners.FCM.fuzzy_distance">
<code class="descclassname">pyFTS.partitioners.FCM.</code><code class="descname">fuzzy_distance</code><span class="sig-paren">(</span><em>x</em>, <em>y</em><span class="sig-paren">)</span><a class="reference internal" href="_modules/pyFTS/partitioners/FCM.html#fuzzy_distance"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#pyFTS.partitioners.FCM.fuzzy_distance" title="Permalink to this definition"></a></dt>
<dd></dd></dl>
<dl class="function">
<dt id="pyFTS.partitioners.FCM.membership">
<code class="descclassname">pyFTS.partitioners.FCM.</code><code class="descname">membership</code><span class="sig-paren">(</span><em>val</em>, <em>vals</em><span class="sig-paren">)</span><a class="reference internal" href="_modules/pyFTS/partitioners/FCM.html#membership"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#pyFTS.partitioners.FCM.membership" title="Permalink to this definition"></a></dt>
Sphinx documentation for ReadTheDocs site
2018-08-30 09:05:29 +04:00
<dd></dd></dl>
</div>
Documentation update
2018-09-18 23:56:14 +04:00
<div class="section" id="module-pyFTS.partitioners.Grid">
<span id="pyfts-partitioners-grid-module"></span><h2>pyFTS.partitioners.Grid module<a class="headerlink" href="#module-pyFTS.partitioners.Grid" title="Permalink to this headline"></a></h2>
<p>Even Length Grid Partitioner</p>
Sphinx documentation for ReadTheDocs site
2018-08-30 09:05:29 +04:00
<dl class="class">
Documentation update
2018-09-18 23:56:14 +04:00
<dt id="pyFTS.partitioners.Grid.GridPartitioner">
<em class="property">class </em><code class="descclassname">pyFTS.partitioners.Grid.</code><code class="descname">GridPartitioner</code><span class="sig-paren">(</span><em>**kwargs</em><span class="sig-paren">)</span><a class="reference internal" href="_modules/pyFTS/partitioners/Grid.html#GridPartitioner"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#pyFTS.partitioners.Grid.GridPartitioner" title="Permalink to this definition"></a></dt>
Sphinx documentation for ReadTheDocs site
2018-08-30 09:05:29 +04:00
<dd><p>Bases: <a class="reference internal" href="#pyFTS.partitioners.partitioner.Partitioner" title="pyFTS.partitioners.partitioner.Partitioner"><code class="xref py py-class docutils literal notranslate"><span class="pre">pyFTS.partitioners.partitioner.Partitioner</span></code></a></p>
Documentation update
2018-09-18 23:56:14 +04:00
<p>Even Length Grid Partitioner</p>
Sphinx documentation for ReadTheDocs site
2018-08-30 09:05:29 +04:00
<dl class="method">
Documentation update
2018-09-18 23:56:14 +04:00
<dt id="pyFTS.partitioners.Grid.GridPartitioner.build">
<code class="descname">build</code><span class="sig-paren">(</span><em>data</em><span class="sig-paren">)</span><a class="reference internal" href="_modules/pyFTS/partitioners/Grid.html#GridPartitioner.build"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#pyFTS.partitioners.Grid.GridPartitioner.build" title="Permalink to this definition"></a></dt>
Sphinx documentation for ReadTheDocs site
2018-08-30 09:05:29 +04:00
<dd><p>Perform the partitioning of the Universe of Discourse</p>
<table class="docutils field-list" frame="void" rules="none">
<col class="field-name" />
<col class="field-body" />
<tbody valign="top">
<tr class="field-odd field"><th class="field-name">Parameters:</th><td class="field-body"><strong>data</strong> – training data</td>
</tr>
<tr class="field-even field"><th class="field-name">Returns:</th><td class="field-body"></td>
</tr>
</tbody>
</table>
</dd></dl>
</dd></dl>
Documentation update
2018-09-18 23:56:14 +04:00
</div>
<div class="section" id="module-pyFTS.partitioners.Huarng">
<span id="pyfts-partitioners-huarng-module"></span><h2>pyFTS.partitioners.Huarng module<a class="headerlink" href="#module-pyFTS.partitioners.Huarng" title="Permalink to this headline"></a></h2>
<p>K. H. Huarng, “Effective lengths of intervals to improve forecasting in fuzzy time series,”
Fuzzy Sets Syst., vol. 123, no. 3, pp. 387–394, Nov. 2001.</p>
<dl class="class">
<dt id="pyFTS.partitioners.Huarng.HuarngPartitioner">
<em class="property">class </em><code class="descclassname">pyFTS.partitioners.Huarng.</code><code class="descname">HuarngPartitioner</code><span class="sig-paren">(</span><em>**kwargs</em><span class="sig-paren">)</span><a class="reference internal" href="_modules/pyFTS/partitioners/Huarng.html#HuarngPartitioner"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#pyFTS.partitioners.Huarng.HuarngPartitioner" title="Permalink to this definition"></a></dt>
<dd><p>Bases: <a class="reference internal" href="#pyFTS.partitioners.partitioner.Partitioner" title="pyFTS.partitioners.partitioner.Partitioner"><code class="xref py py-class docutils literal notranslate"><span class="pre">pyFTS.partitioners.partitioner.Partitioner</span></code></a></p>
<p>Huarng Empirical Partitioner</p>
<dl class="method">
<dt id="pyFTS.partitioners.Huarng.HuarngPartitioner.build">
<code class="descname">build</code><span class="sig-paren">(</span><em>data</em><span class="sig-paren">)</span><a class="reference internal" href="_modules/pyFTS/partitioners/Huarng.html#HuarngPartitioner.build"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#pyFTS.partitioners.Huarng.HuarngPartitioner.build" title="Permalink to this definition"></a></dt>
<dd><p>Perform the partitioning of the Universe of Discourse</p>
<table class="docutils field-list" frame="void" rules="none">
<col class="field-name" />
<col class="field-body" />
<tbody valign="top">
<tr class="field-odd field"><th class="field-name">Parameters:</th><td class="field-body"><strong>data</strong> – training data</td>
</tr>
<tr class="field-even field"><th class="field-name">Returns:</th><td class="field-body"></td>
</tr>
</tbody>
</table>
</dd></dl>
Sphinx documentation for ReadTheDocs site
2018-08-30 09:05:29 +04:00
Documentation update
2018-09-18 23:56:14 +04:00
</dd></dl>
Updating the documentation
2018-08-30 23:04:52 +04:00
Documentation update
2018-09-18 23:56:14 +04:00
</div>
Documentation update
2018-11-13 18:11:49 +04:00
<div class="section" id="module-pyFTS.partitioners.Singleton">
<span id="pyfts-partitioners-singleton-module"></span><h2>pyFTS.partitioners.Singleton module<a class="headerlink" href="#module-pyFTS.partitioners.Singleton" title="Permalink to this headline"></a></h2>
<p>Even Length Grid Partitioner</p>
Documentation update
2018-09-18 23:56:14 +04:00
<dl class="class">
<dt id="pyFTS.partitioners.Singleton.SingletonPartitioner">
<em class="property">class </em><code class="descclassname">pyFTS.partitioners.Singleton.</code><code class="descname">SingletonPartitioner</code><span class="sig-paren">(</span><em>**kwargs</em><span class="sig-paren">)</span><a class="reference internal" href="_modules/pyFTS/partitioners/Singleton.html#SingletonPartitioner"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#pyFTS.partitioners.Singleton.SingletonPartitioner" title="Permalink to this definition"></a></dt>
<dd><p>Bases: <a class="reference internal" href="#pyFTS.partitioners.partitioner.Partitioner" title="pyFTS.partitioners.partitioner.Partitioner"><code class="xref py py-class docutils literal notranslate"><span class="pre">pyFTS.partitioners.partitioner.Partitioner</span></code></a></p>
<p>Singleton Partitioner</p>
<dl class="method">
<dt id="pyFTS.partitioners.Singleton.SingletonPartitioner.build">
<code class="descname">build</code><span class="sig-paren">(</span><em>data</em><span class="sig-paren">)</span><a class="reference internal" href="_modules/pyFTS/partitioners/Singleton.html#SingletonPartitioner.build"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#pyFTS.partitioners.Singleton.SingletonPartitioner.build" title="Permalink to this definition"></a></dt>
<dd><p>Perform the partitioning of the Universe of Discourse</p>
<table class="docutils field-list" frame="void" rules="none">
<col class="field-name" />
<col class="field-body" />
<tbody valign="top">
<tr class="field-odd field"><th class="field-name">Parameters:</th><td class="field-body"><strong>data</strong> – training data</td>
</tr>
<tr class="field-even field"><th class="field-name">Returns:</th><td class="field-body"></td>
</tr>
</tbody>
</table>
</dd></dl>
</dd></dl>
Sphinx documentation for ReadTheDocs site
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</div>
<div class="section" id="module-pyFTS.partitioners.Util">
<span id="pyfts-partitioners-util-module"></span><h2>pyFTS.partitioners.Util module<a class="headerlink" href="#module-pyFTS.partitioners.Util" title="Permalink to this headline"></a></h2>
<p>Facility methods for pyFTS partitioners module</p>
<dl class="function">
<dt id="pyFTS.partitioners.Util.explore_partitioners">
<code class="descclassname">pyFTS.partitioners.Util.</code><code class="descname">explore_partitioners</code><span class="sig-paren">(</span><em>data, npart, methods=None, mf=None, transformation=None, size=[12, 10], save=False, file=None</em><span class="sig-paren">)</span><a class="reference internal" href="_modules/pyFTS/partitioners/Util.html#explore_partitioners"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#pyFTS.partitioners.Util.explore_partitioners" title="Permalink to this definition"></a></dt>
<dd><p>Create partitioners for the mf membership functions and npart partitions and show the partitioning images.
:data: Time series data
:npart: Maximum number of partitions of the universe of discourse
:methods: A list with the partitioning methods to be used
:mf: A list with the membership functions to be used
:transformation: a transformation to be used in partitioner
:size: list, the size of the output image [width, height]
:save: boolean, if the image will be saved on disk
:file: string, the file path to save the image
:return: the list of the built partitioners</p>
</dd></dl>
<dl class="function">
<dt id="pyFTS.partitioners.Util.plot_partitioners">
<code class="descclassname">pyFTS.partitioners.Util.</code><code class="descname">plot_partitioners</code><span class="sig-paren">(</span><em>data, objs, tam=[12, 10], save=False, file=None, axis=None</em><span class="sig-paren">)</span><a class="reference internal" href="_modules/pyFTS/partitioners/Util.html#plot_partitioners"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#pyFTS.partitioners.Util.plot_partitioners" title="Permalink to this definition"></a></dt>
<dd></dd></dl>
<dl class="function">
<dt id="pyFTS.partitioners.Util.plot_sets">
<code class="descclassname">pyFTS.partitioners.Util.</code><code class="descname">plot_sets</code><span class="sig-paren">(</span><em>data, sets, titles, size=[12, 10], save=False, file=None, axis=None</em><span class="sig-paren">)</span><a class="reference internal" href="_modules/pyFTS/partitioners/Util.html#plot_sets"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#pyFTS.partitioners.Util.plot_sets" title="Permalink to this definition"></a></dt>
<dd></dd></dl>
</div>
<div class="section" id="module-pyFTS.partitioners.parallel_util">
<span id="pyfts-partitioners-parallel-util-module"></span><h2>pyFTS.partitioners.parallel_util module<a class="headerlink" href="#module-pyFTS.partitioners.parallel_util" title="Permalink to this headline"></a></h2>
<dl class="function">
<dt id="pyFTS.partitioners.parallel_util.explore_partitioners">
<code class="descclassname">pyFTS.partitioners.parallel_util.</code><code class="descname">explore_partitioners</code><span class="sig-paren">(</span><em>data, npart, methods=None, mf=None, tam=[12, 10], save=False, file=None</em><span class="sig-paren">)</span><a class="reference internal" href="_modules/pyFTS/partitioners/parallel_util.html#explore_partitioners"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#pyFTS.partitioners.parallel_util.explore_partitioners" title="Permalink to this definition"></a></dt>
<dd></dd></dl>
</div>
</div>
</div>
</div>
</div>
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</div>
Updating the documentation
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