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Time Series sample classification infrastructure; WMVFTS is the first method with a functional implementation
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Time Series sample classification infrastructure; WMVFTS is the first method with a functional implementation
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<section id="pyfts-partitioners-package">
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<h1>pyFTS.partitioners package<a class="headerlink" href="#pyfts-partitioners-package" title="Permalink to this headline"></a></h1>
Time Series sample classification infrastructure; WMVFTS is the first method with a functional implementation
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<section id="module-pyFTS.partitioners">
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<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>
Time Series sample classification infrastructure; WMVFTS is the first method with a functional implementation
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</section>
<section id="submodules">
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<h2>Submodules<a class="headerlink" href="#submodules" title="Permalink to this headline"></a></h2>
Time Series sample classification infrastructure; WMVFTS is the first method with a functional implementation
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</section>
<section id="module-pyFTS.partitioners.partitioner">
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<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="py class">
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<dt class="sig sig-object py" id="pyFTS.partitioners.partitioner.Partitioner">
<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">pyFTS.partitioners.partitioner.</span></span><span class="sig-name descname"><span class="pre">Partitioner</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="o"><span class="pre">**</span></span><span class="n"><span class="pre">kwargs</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/pyFTS/partitioners/partitioner.html#Partitioner"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#pyFTS.partitioners.partitioner.Partitioner" title="Permalink to this definition"></a></dt>
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<dd><p>Bases: <a class="reference external" href="https://docs.python.org/3/library/functions.html#object" title="(in Python v3.11)"><code class="xref py py-class docutils literal notranslate"><span class="pre">object</span></code></a></p>
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<p>Universe of Discourse partitioner. Split data on several fuzzy sets</p>
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<dl class="py method">
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<dt class="sig sig-object py" id="pyFTS.partitioners.partitioner.Partitioner.build">
<span class="sig-name descname"><span class="pre">build</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">data</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/pyFTS/partitioners/partitioner.html#Partitioner.build"><span class="viewcode-link"><span class="pre">[source]</span></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>
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<dl class="field-list simple">
<dt class="field-odd">Parameters</dt>
<dd class="field-odd"><p><strong>data</strong> – training data</p>
</dd>
<dt class="field-even">Returns</dt>
<dd class="field-even"><p></p>
</dd>
</dl>
</dd></dl>
<dl class="py method">
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<dt class="sig sig-object py" id="pyFTS.partitioners.partitioner.Partitioner.build_index">
<span class="sig-name descname"><span class="pre">build_index</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="reference internal" href="_modules/pyFTS/partitioners/partitioner.html#Partitioner.build_index"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#pyFTS.partitioners.partitioner.Partitioner.build_index" 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 class="sig sig-object py" id="pyFTS.partitioners.partitioner.Partitioner.check_bounds">
<span class="sig-name descname"><span class="pre">check_bounds</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">data</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/pyFTS/partitioners/partitioner.html#Partitioner.check_bounds"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#pyFTS.partitioners.partitioner.Partitioner.check_bounds" title="Permalink to this definition"></a></dt>
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<dd><p>Check if the input data is outside the known Universe of Discourse and, if it is, round it to the closest
fuzzy set.</p>
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<dl class="field-list simple">
<dt class="field-odd">Parameters</dt>
<dd class="field-odd"><p><strong>data</strong> – input data to be verified</p>
</dd>
<dt class="field-even">Returns</dt>
<dd class="field-even"><p>the index of the closest fuzzy set when data is outside de universe of discourse or None if</p>
</dd>
</dl>
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<p>the data is inside the UoD.</p>
</dd></dl>
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<dt class="sig sig-object py" id="pyFTS.partitioners.partitioner.Partitioner.defuzzyfy">
<span class="sig-name descname"><span class="pre">defuzzyfy</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">values</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">mode</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'both'</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/pyFTS/partitioners/partitioner.html#Partitioner.defuzzyfy"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#pyFTS.partitioners.partitioner.Partitioner.defuzzyfy" 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 class="sig sig-object py" id="pyFTS.partitioners.partitioner.Partitioner.extractor">
<span class="sig-name descname"><span class="pre">extractor</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">x</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/pyFTS/partitioners/partitioner.html#Partitioner.extractor"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#pyFTS.partitioners.partitioner.Partitioner.extractor" title="Permalink to this definition"></a></dt>
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<dd><p>Extract a single primitive type from an structured instance</p>
</dd></dl>
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<dt class="sig sig-object py" id="pyFTS.partitioners.partitioner.Partitioner.fuzzyfy">
<span class="sig-name descname"><span class="pre">fuzzyfy</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">data</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">**</span></span><span class="n"><span class="pre">kwargs</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/pyFTS/partitioners/partitioner.html#Partitioner.fuzzyfy"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#pyFTS.partitioners.partitioner.Partitioner.fuzzyfy" title="Permalink to this definition"></a></dt>
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<dd><p>Fuzzyfy the input data according to this partitioner fuzzy sets.</p>
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<dl class="field-list simple">
<dt class="field-odd">Parameters</dt>
<dd class="field-odd"><ul class="simple">
<li><p><strong>data</strong> – input value to be fuzzyfied</p></li>
<li><p><strong>alpha_cut</strong> – the minimal membership value to be considered on fuzzyfication (only for mode=’sets’)</p></li>
<li><p><strong>method</strong> – the fuzzyfication method (fuzzy: all fuzzy memberships, maximum: only the maximum membership)</p></li>
<li><p><strong>mode</strong> – the fuzzyfication mode (sets: return the fuzzy sets names, vector: return a vector with the membership</p></li>
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</ul>
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</dd>
</dl>
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<p>values for all fuzzy sets, both: return a list with tuples (fuzzy set, membership value) )</p>
<p>:returns a list with the fuzzyfied values, depending on the mode</p>
</dd></dl>
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<dt class="sig sig-object py" id="pyFTS.partitioners.partitioner.Partitioner.get_name">
<span class="sig-name descname"><span class="pre">get_name</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">counter</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/pyFTS/partitioners/partitioner.html#Partitioner.get_name"><span class="viewcode-link"><span class="pre">[source]</span></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>
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<dl class="field-list simple">
<dt class="field-odd">Parameters</dt>
<dd class="field-odd"><p><strong>counter</strong> – The number of the fuzzy set</p>
</dd>
<dt class="field-even">Returns</dt>
<dd class="field-even"><p>String</p>
</dd>
</dl>
</dd></dl>
<dl class="py attribute">
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<dt class="sig sig-object py" id="pyFTS.partitioners.partitioner.Partitioner.kdtree">
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<span class="sig-name descname"><span class="pre">kdtree</span></span><em class="property"><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="pre">scipy.spatial._kdtree.KDTree</span></em><a class="headerlink" href="#pyFTS.partitioners.partitioner.Partitioner.kdtree" title="Permalink to this definition"></a></dt>
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<dd><p>A spatial index to help in fuzzyfication</p>
</dd></dl>
<dl class="py attribute">
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<dt class="sig sig-object py" id="pyFTS.partitioners.partitioner.Partitioner.lower_margin">
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<span class="sig-name descname"><span class="pre">lower_margin</span></span><em class="property"><span class="p"><span class="pre">:</span></span><span class="w"> </span><a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.11)"><span class="pre">float</span></a></em><a class="headerlink" href="#pyFTS.partitioners.partitioner.Partitioner.lower_margin" title="Permalink to this definition"></a></dt>
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<dd><p>Specific lower exceeding margins for the known UoD. The default value is the self.margin parameter</p>
</dd></dl>
<dl class="py method">
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<dt class="sig sig-object py" id="pyFTS.partitioners.partitioner.Partitioner.lower_set">
<span class="sig-name descname"><span class="pre">lower_set</span></span><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"><span class="pre">[source]</span></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>
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<dl class="field-list simple">
<dt class="field-odd">Returns</dt>
<dd class="field-odd"><p>Fuzzy Set</p>
</dd>
</dl>
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</dd></dl>
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<dl class="py attribute">
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<dt class="sig sig-object py" id="pyFTS.partitioners.partitioner.Partitioner.margin">
Time Series sample classification infrastructure; WMVFTS is the first method with a functional implementation
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<span class="sig-name descname"><span class="pre">margin</span></span><em class="property"><span class="p"><span class="pre">:</span></span><span class="w"> </span><a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.11)"><span class="pre">float</span></a></em><a class="headerlink" href="#pyFTS.partitioners.partitioner.Partitioner.margin" title="Permalink to this definition"></a></dt>
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<dd><p>The upper and lower exceeding margins for the known UoD. The default value is .1</p>
</dd></dl>
<dl class="py attribute">
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<dt class="sig sig-object py" id="pyFTS.partitioners.partitioner.Partitioner.membership_function">
<span class="sig-name descname"><span class="pre">membership_function</span></span><a class="headerlink" href="#pyFTS.partitioners.partitioner.Partitioner.membership_function" title="Permalink to this definition"></a></dt>
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<dd><p>Fuzzy membership function (pyFTS.common.Membership)</p>
</dd></dl>
<dl class="py attribute">
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<dt class="sig sig-object py" id="pyFTS.partitioners.partitioner.Partitioner.name">
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<span class="sig-name descname"><span class="pre">name</span></span><em class="property"><span class="p"><span class="pre">:</span></span><span class="w"> </span><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.11)"><span class="pre">str</span></a></em><a class="headerlink" href="#pyFTS.partitioners.partitioner.Partitioner.name" title="Permalink to this definition"></a></dt>
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<dd><p>partitioner name</p>
</dd></dl>
<dl class="py attribute">
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<dt class="sig sig-object py" id="pyFTS.partitioners.partitioner.Partitioner.ordered_sets">
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<span class="sig-name descname"><span class="pre">ordered_sets</span></span><em class="property"><span class="p"><span class="pre">:</span></span><span class="w"> </span><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#list" title="(in Python v3.11)"><span class="pre">list</span></a></em><a class="headerlink" href="#pyFTS.partitioners.partitioner.Partitioner.ordered_sets" title="Permalink to this definition"></a></dt>
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<dd><p>A ordered list of the fuzzy sets names, sorted by their middle point</p>
</dd></dl>
<dl class="py attribute">
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<dt class="sig sig-object py" id="pyFTS.partitioners.partitioner.Partitioner.partitions">
Time Series sample classification infrastructure; WMVFTS is the first method with a functional implementation
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<span class="sig-name descname"><span class="pre">partitions</span></span><em class="property"><span class="p"><span class="pre">:</span></span><span class="w"> </span><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.11)"><span class="pre">int</span></a></em><a class="headerlink" href="#pyFTS.partitioners.partitioner.Partitioner.partitions" title="Permalink to this definition"></a></dt>
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<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="py method">
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<dt class="sig sig-object py" id="pyFTS.partitioners.partitioner.Partitioner.plot">
<span class="sig-name descname"><span class="pre">plot</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">ax</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">rounding</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">0</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/pyFTS/partitioners/partitioner.html#Partitioner.plot"><span class="viewcode-link"><span class="pre">[source]</span></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>
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<dl class="field-list simple">
<dt class="field-odd">Parameters</dt>
<dd class="field-odd"><p><strong>ax</strong> – Matplotlib axis</p>
</dd>
</dl>
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</dd></dl>
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<dl class="py method">
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<dt class="sig sig-object py" id="pyFTS.partitioners.partitioner.Partitioner.plot_set">
<span class="sig-name descname"><span class="pre">plot_set</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">ax</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">s</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/pyFTS/partitioners/partitioner.html#Partitioner.plot_set"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#pyFTS.partitioners.partitioner.Partitioner.plot_set" title="Permalink to this definition"></a></dt>
Documentation update
2018-10-29 23:48:05 +04:00
<dd><p>Plot an isolate fuzzy set on Matplotlib axis</p>
Documentation update
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<dl class="field-list simple">
<dt class="field-odd">Parameters</dt>
<dd class="field-odd"><ul class="simple">
<li><p><strong>ax</strong> – Matplotlib axis</p></li>
<li><p><strong>s</strong> – Fuzzy Set</p></li>
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</ul>
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</dd>
</dl>
</dd></dl>
<dl class="py attribute">
Fixing documentation and type hints
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<dt class="sig sig-object py" id="pyFTS.partitioners.partitioner.Partitioner.prefix">
Time Series sample classification infrastructure; WMVFTS is the first method with a functional implementation
2023-05-25 02:46:07 +04:00
<span class="sig-name descname"><span class="pre">prefix</span></span><em class="property"><span class="p"><span class="pre">:</span></span><span class="w"> </span><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.11)"><span class="pre">str</span></a></em><a class="headerlink" href="#pyFTS.partitioners.partitioner.Partitioner.prefix" title="Permalink to this definition"></a></dt>
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<dd><p>prefix of auto generated partition names</p>
Documentation update
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</dd></dl>
Sphinx documentation for ReadTheDocs site
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<dl class="py method">
Fixing documentation and type hints
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<dt class="sig sig-object py" id="pyFTS.partitioners.partitioner.Partitioner.search">
<span class="sig-name descname"><span class="pre">search</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">data</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">**</span></span><span class="n"><span class="pre">kwargs</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/pyFTS/partitioners/partitioner.html#Partitioner.search"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#pyFTS.partitioners.partitioner.Partitioner.search" title="Permalink to this definition"></a></dt>
Documentation update
2019-04-22 17:01:58 +04:00
<dd><p>Perform a search for the nearest fuzzy sets of the point ‘data’. This function were designed to work with several
overlapped fuzzy sets.</p>
Documentation update
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<dl class="field-list simple">
<dt class="field-odd">Parameters</dt>
<dd class="field-odd"><ul class="simple">
<li><p><strong>data</strong> – the value to search for the nearest fuzzy sets</p></li>
<li><p><strong>type</strong> – the return type: ‘index’ for the fuzzy set indexes or ‘name’ for fuzzy set names.</p></li>
<li><p><strong>results</strong> – the number of nearest fuzzy sets to return</p></li>
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</ul>
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</dd>
<dt class="field-even">Returns</dt>
<dd class="field-even"><p>a list with the nearest fuzzy sets</p>
</dd>
</dl>
</dd></dl>
<dl class="py attribute">
Fixing documentation and type hints
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<dt class="sig sig-object py" id="pyFTS.partitioners.partitioner.Partitioner.setnames">
Time Series sample classification infrastructure; WMVFTS is the first method with a functional implementation
2023-05-25 02:46:07 +04:00
<span class="sig-name descname"><span class="pre">setnames</span></span><em class="property"><span class="p"><span class="pre">:</span></span><span class="w"> </span><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#list" title="(in Python v3.11)"><span class="pre">list</span></a></em><a class="headerlink" href="#pyFTS.partitioners.partitioner.Partitioner.setnames" title="Permalink to this definition"></a></dt>
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<dd><p>list of partitions names. If None is given the partitions will be auto named with prefix</p>
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</dd></dl>
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<dl class="py attribute">
Fixing documentation and type hints
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<dt class="sig sig-object py" id="pyFTS.partitioners.partitioner.Partitioner.sets">
Time Series sample classification infrastructure; WMVFTS is the first method with a functional implementation
2023-05-25 02:46:07 +04:00
<span class="sig-name descname"><span class="pre">sets</span></span><em class="property"><span class="p"><span class="pre">:</span></span><span class="w"> </span><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#dict" title="(in Python v3.11)"><span class="pre">dict</span></a></em><a class="headerlink" href="#pyFTS.partitioners.partitioner.Partitioner.sets" title="Permalink to this definition"></a></dt>
Fixing documentation and type hints
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<dd><p>The fuzzy sets dictionary</p>
</dd></dl>
<dl class="py attribute">
<dt class="sig sig-object py" id="pyFTS.partitioners.partitioner.Partitioner.transformation">
<span class="sig-name descname"><span class="pre">transformation</span></span><a class="headerlink" href="#pyFTS.partitioners.partitioner.Partitioner.transformation" title="Permalink to this definition"></a></dt>
Documentation update
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<dd><p>data transformation to be applied on data</p>
</dd></dl>
<dl class="py attribute">
Fixing documentation and type hints
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<dt class="sig sig-object py" id="pyFTS.partitioners.partitioner.Partitioner.type">
Time Series sample classification infrastructure; WMVFTS is the first method with a functional implementation
2023-05-25 02:46:07 +04:00
<span class="sig-name descname"><span class="pre">type</span></span><em class="property"><span class="p"><span class="pre">:</span></span><span class="w"> </span><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.11)"><span class="pre">str</span></a></em><a class="headerlink" href="#pyFTS.partitioners.partitioner.Partitioner.type" title="Permalink to this definition"></a></dt>
Documentation update
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<dd><p>The type of fuzzy sets that are generated by this partitioner</p>
</dd></dl>
<dl class="py attribute">
Fixing documentation and type hints
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<dt class="sig sig-object py" id="pyFTS.partitioners.partitioner.Partitioner.upper_margin">
Time Series sample classification infrastructure; WMVFTS is the first method with a functional implementation
2023-05-25 02:46:07 +04:00
<span class="sig-name descname"><span class="pre">upper_margin</span></span><em class="property"><span class="p"><span class="pre">:</span></span><span class="w"> </span><a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.11)"><span class="pre">float</span></a></em><a class="headerlink" href="#pyFTS.partitioners.partitioner.Partitioner.upper_margin" title="Permalink to this definition"></a></dt>
Documentation update
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<dd><p>Specific upper exceeding margins for the known UoD. The default value is the self.margin parameter</p>
</dd></dl>
<dl class="py method">
Fixing documentation and type hints
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<dt class="sig sig-object py" id="pyFTS.partitioners.partitioner.Partitioner.upper_set">
<span class="sig-name descname"><span class="pre">upper_set</span></span><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"><span class="pre">[source]</span></span></a><a class="headerlink" href="#pyFTS.partitioners.partitioner.Partitioner.upper_set" title="Permalink to this definition"></a></dt>
Documentation update
2018-10-29 23:48:05 +04:00
<dd><p>Return the fuzzy set on upper bound of the universe of discourse.</p>
Documentation update
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<dl class="field-list simple">
<dt class="field-odd">Returns</dt>
<dd class="field-odd"><p>Fuzzy Set</p>
</dd>
</dl>
</dd></dl>
<dl class="py attribute">
Fixing documentation and type hints
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<dt class="sig sig-object py" id="pyFTS.partitioners.partitioner.Partitioner.variable">
<span class="sig-name descname"><span class="pre">variable</span></span><a class="headerlink" href="#pyFTS.partitioners.partitioner.Partitioner.variable" title="Permalink to this definition"></a></dt>
Documentation update
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<dd><p>In a multivariate context, the variable that contains this partitioner</p>
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</dd></dl>
Sphinx documentation for ReadTheDocs site
2018-08-30 09:05:29 +04:00
Updating the documentation
2018-08-30 23:04:52 +04:00
</dd></dl>
Time Series sample classification infrastructure; WMVFTS is the first method with a functional implementation
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</section>
Refactoring and documentation updates
2023-05-25 03:18:52 +04:00
<section id="module-pyFTS.partitioners.Class">
<span id="pyfts-partitioners-class-module"></span><h2>pyFTS.partitioners.Class module<a class="headerlink" href="#module-pyFTS.partitioners.Class" title="Permalink to this headline"></a></h2>
<p>Class Partitioner with Singleton Fuzzy Sets</p>
Time Series sample classification infrastructure; WMVFTS is the first method with a functional implementation
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<dl class="py class">
Refactoring and documentation updates
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<dt class="sig sig-object py" id="pyFTS.partitioners.Class.ClassPartitioner">
<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">pyFTS.partitioners.Class.</span></span><span class="sig-name descname"><span class="pre">ClassPartitioner</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="o"><span class="pre">**</span></span><span class="n"><span class="pre">kwargs</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/pyFTS/partitioners/Class.html#ClassPartitioner"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#pyFTS.partitioners.Class.ClassPartitioner" title="Permalink to this definition"></a></dt>
Time Series sample classification infrastructure; WMVFTS is the first method with a functional implementation
2023-05-25 02:46:07 +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>
<p>Class Partitioner: Given a dictionary with class/values pairs, create singleton fuzzy sets for each class</p>
<dl class="py method">
Refactoring and documentation updates
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<dt class="sig sig-object py" id="pyFTS.partitioners.Class.ClassPartitioner.build">
<span class="sig-name descname"><span class="pre">build</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">data</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#list" title="(in Python v3.11)"><span class="pre">list</span></a></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/pyFTS/partitioners/Class.html#ClassPartitioner.build"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#pyFTS.partitioners.Class.ClassPartitioner.build" title="Permalink to this definition"></a></dt>
Time Series sample classification infrastructure; WMVFTS is the first method with a functional implementation
2023-05-25 02:46:07 +04:00
<dd><p>Perform the partitioning of the Universe of Discourse</p>
<dl class="field-list simple">
<dt class="field-odd">Parameters</dt>
<dd class="field-odd"><p><strong>data</strong> – training data</p>
</dd>
<dt class="field-even">Returns</dt>
<dd class="field-even"><p></p>
</dd>
</dl>
</dd></dl>
</dd></dl>
</section>
<section id="module-pyFTS.partitioners.CMeans">
Documentation update
2018-09-18 23:56:14 +04:00
<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>
Documentation update
2020-08-19 00:06:41 +04:00
<dl class="py class">
Fixing documentation and type hints
2022-04-10 21:32:24 +04:00
<dt class="sig sig-object py" id="pyFTS.partitioners.CMeans.CMeansPartitioner">
<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">pyFTS.partitioners.CMeans.</span></span><span class="sig-name descname"><span class="pre">CMeansPartitioner</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="o"><span class="pre">**</span></span><span class="n"><span class="pre">kwargs</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/pyFTS/partitioners/CMeans.html#CMeansPartitioner"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#pyFTS.partitioners.CMeans.CMeansPartitioner" title="Permalink to this definition"></a></dt>
Updating the documentation
2018-08-30 23:04:52 +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
2020-08-19 00:06:41 +04:00
<dl class="py method">
Fixing documentation and type hints
2022-04-10 21:32:24 +04:00
<dt class="sig sig-object py" id="pyFTS.partitioners.CMeans.CMeansPartitioner.build">
<span class="sig-name descname"><span class="pre">build</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">data</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/pyFTS/partitioners/CMeans.html#CMeansPartitioner.build"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#pyFTS.partitioners.CMeans.CMeansPartitioner.build" title="Permalink to this definition"></a></dt>
Updating the documentation
2018-08-30 23:04:52 +04:00
<dd><p>Perform the partitioning of the Universe of Discourse</p>
Documentation update
2020-08-19 00:06:41 +04:00
<dl class="field-list simple">
<dt class="field-odd">Parameters</dt>
<dd class="field-odd"><p><strong>data</strong> – training data</p>
</dd>
<dt class="field-even">Returns</dt>
<dd class="field-even"><p></p>
</dd>
</dl>
Updating the documentation
2018-08-30 23:04:52 +04:00
</dd></dl>
</dd></dl>
Documentation update
2020-08-19 00:06:41 +04:00
<dl class="py function">
Fixing documentation and type hints
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<dt class="sig sig-object py" id="pyFTS.partitioners.CMeans.c_means">
<span class="sig-prename descclassname"><span class="pre">pyFTS.partitioners.CMeans.</span></span><span class="sig-name descname"><span class="pre">c_means</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">k</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">dados</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">tam</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/pyFTS/partitioners/CMeans.html#c_means"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#pyFTS.partitioners.CMeans.c_means" title="Permalink to this definition"></a></dt>
Documentation update
2018-09-18 23:56:14 +04:00
<dd></dd></dl>
Updating the documentation
2018-08-30 23:04:52 +04:00
Documentation update
2020-08-19 00:06:41 +04:00
<dl class="py function">
Fixing documentation and type hints
2022-04-10 21:32:24 +04:00
<dt class="sig sig-object py" id="pyFTS.partitioners.CMeans.distance">
<span class="sig-prename descclassname"><span class="pre">pyFTS.partitioners.CMeans.</span></span><span class="sig-name descname"><span class="pre">distance</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">x</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">y</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/pyFTS/partitioners/CMeans.html#distance"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#pyFTS.partitioners.CMeans.distance" title="Permalink to this definition"></a></dt>
Documentation update
2018-09-18 23:56:14 +04:00
<dd></dd></dl>
Updating the documentation
2018-08-30 23:04:52 +04:00
Time Series sample classification infrastructure; WMVFTS is the first method with a functional implementation
2023-05-25 02:46:07 +04:00
</section>
<section id="module-pyFTS.partitioners.Entropy">
Sphinx documentation for ReadTheDocs site
2018-08-30 09:05:29 +04:00
<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>
Documentation update
2020-08-19 00:06:41 +04:00
<dl class="py class">
Fixing documentation and type hints
2022-04-10 21:32:24 +04:00
<dt class="sig sig-object py" id="pyFTS.partitioners.Entropy.EntropyPartitioner">
<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">pyFTS.partitioners.Entropy.</span></span><span class="sig-name descname"><span class="pre">EntropyPartitioner</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="o"><span class="pre">**</span></span><span class="n"><span class="pre">kwargs</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/pyFTS/partitioners/Entropy.html#EntropyPartitioner"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#pyFTS.partitioners.Entropy.EntropyPartitioner" 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>
<p>Huarng Entropy Partitioner</p>
Documentation update
2020-08-19 00:06:41 +04:00
<dl class="py method">
Fixing documentation and type hints
2022-04-10 21:32:24 +04:00
<dt class="sig sig-object py" id="pyFTS.partitioners.Entropy.EntropyPartitioner.build">
<span class="sig-name descname"><span class="pre">build</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">data</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/pyFTS/partitioners/Entropy.html#EntropyPartitioner.build"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#pyFTS.partitioners.Entropy.EntropyPartitioner.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>
Documentation update
2020-08-19 00:06:41 +04:00
<dl class="field-list simple">
<dt class="field-odd">Parameters</dt>
<dd class="field-odd"><p><strong>data</strong> – training data</p>
</dd>
<dt class="field-even">Returns</dt>
<dd class="field-even"><p></p>
</dd>
</dl>
Sphinx documentation for ReadTheDocs site
2018-08-30 09:05:29 +04:00
</dd></dl>
</dd></dl>
Documentation update
2020-08-19 00:06:41 +04:00
<dl class="py function">
Fixing documentation and type hints
2022-04-10 21:32:24 +04:00
<dt class="sig sig-object py" id="pyFTS.partitioners.Entropy.PMF">
<span class="sig-prename descclassname"><span class="pre">pyFTS.partitioners.Entropy.</span></span><span class="sig-name descname"><span class="pre">PMF</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">data</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">threshold</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/pyFTS/partitioners/Entropy.html#PMF"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#pyFTS.partitioners.Entropy.PMF" title="Permalink to this definition"></a></dt>
Sphinx documentation for ReadTheDocs site
2018-08-30 09:05:29 +04:00
<dd></dd></dl>
Documentation update
2020-08-19 00:06:41 +04:00
<dl class="py function">
Fixing documentation and type hints
2022-04-10 21:32:24 +04:00
<dt class="sig sig-object py" id="pyFTS.partitioners.Entropy.bestSplit">
<span class="sig-prename descclassname"><span class="pre">pyFTS.partitioners.Entropy.</span></span><span class="sig-name descname"><span class="pre">bestSplit</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">data</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">npart</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/pyFTS/partitioners/Entropy.html#bestSplit"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#pyFTS.partitioners.Entropy.bestSplit" title="Permalink to this definition"></a></dt>
Sphinx documentation for ReadTheDocs site
2018-08-30 09:05:29 +04:00
<dd></dd></dl>
Documentation update
2020-08-19 00:06:41 +04:00
<dl class="py function">
Fixing documentation and type hints
2022-04-10 21:32:24 +04:00
<dt class="sig sig-object py" id="pyFTS.partitioners.Entropy.entropy">
<span class="sig-prename descclassname"><span class="pre">pyFTS.partitioners.Entropy.</span></span><span class="sig-name descname"><span class="pre">entropy</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">data</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">threshold</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/pyFTS/partitioners/Entropy.html#entropy"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#pyFTS.partitioners.Entropy.entropy" title="Permalink to this definition"></a></dt>
Sphinx documentation for ReadTheDocs site
2018-08-30 09:05:29 +04:00
<dd></dd></dl>
Documentation update
2020-08-19 00:06:41 +04:00
<dl class="py function">
Fixing documentation and type hints
2022-04-10 21:32:24 +04:00
<dt class="sig sig-object py" id="pyFTS.partitioners.Entropy.informationGain">
<span class="sig-prename descclassname"><span class="pre">pyFTS.partitioners.Entropy.</span></span><span class="sig-name descname"><span class="pre">informationGain</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">data</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">thres1</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">thres2</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/pyFTS/partitioners/Entropy.html#informationGain"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#pyFTS.partitioners.Entropy.informationGain" title="Permalink to this definition"></a></dt>
Sphinx documentation for ReadTheDocs site
2018-08-30 09:05:29 +04:00
<dd></dd></dl>
Documentation update
2020-08-19 00:06:41 +04:00
<dl class="py function">
Fixing documentation and type hints
2022-04-10 21:32:24 +04:00
<dt class="sig sig-object py" id="pyFTS.partitioners.Entropy.splitAbove">
<span class="sig-prename descclassname"><span class="pre">pyFTS.partitioners.Entropy.</span></span><span class="sig-name descname"><span class="pre">splitAbove</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">data</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">threshold</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/pyFTS/partitioners/Entropy.html#splitAbove"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#pyFTS.partitioners.Entropy.splitAbove" title="Permalink to this definition"></a></dt>
Sphinx documentation for ReadTheDocs site
2018-08-30 09:05:29 +04:00
<dd></dd></dl>
Documentation update
2020-08-19 00:06:41 +04:00
<dl class="py function">
Fixing documentation and type hints
2022-04-10 21:32:24 +04:00
<dt class="sig sig-object py" id="pyFTS.partitioners.Entropy.splitBelow">
<span class="sig-prename descclassname"><span class="pre">pyFTS.partitioners.Entropy.</span></span><span class="sig-name descname"><span class="pre">splitBelow</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">data</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">threshold</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/pyFTS/partitioners/Entropy.html#splitBelow"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#pyFTS.partitioners.Entropy.splitBelow" title="Permalink to this definition"></a></dt>
Sphinx documentation for ReadTheDocs site
2018-08-30 09:05:29 +04:00
<dd></dd></dl>
Time Series sample classification infrastructure; WMVFTS is the first method with a functional implementation
2023-05-25 02:46:07 +04:00
</section>
<section id="module-pyFTS.partitioners.FCM">
Documentation update
2018-09-18 23:56:14 +04:00
<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>
Documentation update
2020-08-19 00:06:41 +04:00
<dl class="py class">
Fixing documentation and type hints
2022-04-10 21:32:24 +04:00
<dt class="sig sig-object py" id="pyFTS.partitioners.FCM.FCMPartitioner">
<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">pyFTS.partitioners.FCM.</span></span><span class="sig-name descname"><span class="pre">FCMPartitioner</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="o"><span class="pre">**</span></span><span class="n"><span class="pre">kwargs</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/pyFTS/partitioners/FCM.html#FCMPartitioner"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#pyFTS.partitioners.FCM.FCMPartitioner" 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
2020-08-19 00:06:41 +04:00
<dl class="py method">
Fixing documentation and type hints
2022-04-10 21:32:24 +04:00
<dt class="sig sig-object py" id="pyFTS.partitioners.FCM.FCMPartitioner.build">
<span class="sig-name descname"><span class="pre">build</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">data</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/pyFTS/partitioners/FCM.html#FCMPartitioner.build"><span class="viewcode-link"><span class="pre">[source]</span></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>
Documentation update
2020-08-19 00:06:41 +04:00
<dl class="field-list simple">
<dt class="field-odd">Parameters</dt>
<dd class="field-odd"><p><strong>data</strong> – training data</p>
</dd>
<dt class="field-even">Returns</dt>
<dd class="field-even"><p></p>
</dd>
</dl>
Sphinx documentation for ReadTheDocs site
2018-08-30 09:05:29 +04:00
</dd></dl>
</dd></dl>
Documentation update
2020-08-19 00:06:41 +04:00
<dl class="py function">
Fixing documentation and type hints
2022-04-10 21:32:24 +04:00
<dt class="sig sig-object py" id="pyFTS.partitioners.FCM.fuzzy_cmeans">
<span class="sig-prename descclassname"><span class="pre">pyFTS.partitioners.FCM.</span></span><span class="sig-name descname"><span class="pre">fuzzy_cmeans</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">k</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">data</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">size</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">m</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">deltadist</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">0.001</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/pyFTS/partitioners/FCM.html#fuzzy_cmeans"><span class="viewcode-link"><span class="pre">[source]</span></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>
Documentation update
2020-08-19 00:06:41 +04:00
<dl class="py function">
Fixing documentation and type hints
2022-04-10 21:32:24 +04:00
<dt class="sig sig-object py" id="pyFTS.partitioners.FCM.fuzzy_distance">
<span class="sig-prename descclassname"><span class="pre">pyFTS.partitioners.FCM.</span></span><span class="sig-name descname"><span class="pre">fuzzy_distance</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">x</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">y</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/pyFTS/partitioners/FCM.html#fuzzy_distance"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#pyFTS.partitioners.FCM.fuzzy_distance" title="Permalink to this definition"></a></dt>
Documentation update
2018-09-18 23:56:14 +04:00
<dd></dd></dl>
Documentation update
2020-08-19 00:06:41 +04:00
<dl class="py function">
Fixing documentation and type hints
2022-04-10 21:32:24 +04:00
<dt class="sig sig-object py" id="pyFTS.partitioners.FCM.membership">
<span class="sig-prename descclassname"><span class="pre">pyFTS.partitioners.FCM.</span></span><span class="sig-name descname"><span class="pre">membership</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">val</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">vals</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/pyFTS/partitioners/FCM.html#membership"><span class="viewcode-link"><span class="pre">[source]</span></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>
Time Series sample classification infrastructure; WMVFTS is the first method with a functional implementation
2023-05-25 02:46:07 +04:00
</section>
<section id="module-pyFTS.partitioners.Grid">
Documentation update
2018-09-18 23:56:14 +04:00
<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>
Documentation update
2020-08-19 00:06:41 +04:00
<dl class="py class">
Fixing documentation and type hints
2022-04-10 21:32:24 +04:00
<dt class="sig sig-object py" id="pyFTS.partitioners.Grid.GridPartitioner">
<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">pyFTS.partitioners.Grid.</span></span><span class="sig-name descname"><span class="pre">GridPartitioner</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="o"><span class="pre">**</span></span><span class="n"><span class="pre">kwargs</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/pyFTS/partitioners/Grid.html#GridPartitioner"><span class="viewcode-link"><span class="pre">[source]</span></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>
Documentation update
2020-08-19 00:06:41 +04:00
<dl class="py method">
Fixing documentation and type hints
2022-04-10 21:32:24 +04:00
<dt class="sig sig-object py" id="pyFTS.partitioners.Grid.GridPartitioner.build">
<span class="sig-name descname"><span class="pre">build</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">data</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/pyFTS/partitioners/Grid.html#GridPartitioner.build"><span class="viewcode-link"><span class="pre">[source]</span></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>
Documentation update
2020-08-19 00:06:41 +04:00
<dl class="field-list simple">
<dt class="field-odd">Parameters</dt>
<dd class="field-odd"><p><strong>data</strong> – training data</p>
</dd>
<dt class="field-even">Returns</dt>
<dd class="field-even"><p></p>
</dd>
</dl>
Sphinx documentation for ReadTheDocs site
2018-08-30 09:05:29 +04:00
</dd></dl>
</dd></dl>
step_to parameter in predict function
2020-11-23 22:25:14 +04:00
<dl class="py class">
Fixing documentation and type hints
2022-04-10 21:32:24 +04:00
<dt class="sig sig-object py" id="pyFTS.partitioners.Grid.PreFixedGridPartitioner">
<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">pyFTS.partitioners.Grid.</span></span><span class="sig-name descname"><span class="pre">PreFixedGridPartitioner</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="o"><span class="pre">**</span></span><span class="n"><span class="pre">kwargs</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/pyFTS/partitioners/Grid.html#PreFixedGridPartitioner"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#pyFTS.partitioners.Grid.PreFixedGridPartitioner" title="Permalink to this definition"></a></dt>
step_to parameter in predict function
2020-11-23 22:25:14 +04:00
<dd><p>Bases: <a class="reference internal" href="#pyFTS.partitioners.Grid.GridPartitioner" title="pyFTS.partitioners.Grid.GridPartitioner"><code class="xref py py-class docutils literal notranslate"><span class="pre">pyFTS.partitioners.Grid.GridPartitioner</span></code></a></p>
<p>Prefixed UoD with Even Length Grid Partitioner</p>
Fixing documentation and type hints
2022-04-10 21:32:24 +04:00
</dd></dl>
Time Series sample classification infrastructure; WMVFTS is the first method with a functional implementation
2023-05-25 02:46:07 +04:00
</section>
<section id="pyfts-partitioners-huarng-module">
<h2>pyFTS.partitioners.Huarng module<a class="headerlink" href="#pyfts-partitioners-huarng-module" title="Permalink to this headline"></a></h2>
</section>
<section id="module-pyFTS.partitioners.Singleton">
Documentation update
2018-11-13 18:11:49 +04:00
<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
2020-08-19 00:06:41 +04:00
<dl class="py class">
Fixing documentation and type hints
2022-04-10 21:32:24 +04:00
<dt class="sig sig-object py" id="pyFTS.partitioners.Singleton.SingletonPartitioner">
<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">pyFTS.partitioners.Singleton.</span></span><span class="sig-name descname"><span class="pre">SingletonPartitioner</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="o"><span class="pre">**</span></span><span class="n"><span class="pre">kwargs</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/pyFTS/partitioners/Singleton.html#SingletonPartitioner"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#pyFTS.partitioners.Singleton.SingletonPartitioner" title="Permalink to this definition"></a></dt>
Documentation update
2018-09-18 23:56:14 +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>
Fixing documentation and type hints
2022-04-10 21:32:24 +04:00
<p>Singleton Partitioner: Create singleton fuzzy sets for each distinct value in UoD</p>
Documentation update
2020-08-19 00:06:41 +04:00
<dl class="py method">
Fixing documentation and type hints
2022-04-10 21:32:24 +04:00
<dt class="sig sig-object py" id="pyFTS.partitioners.Singleton.SingletonPartitioner.build">
Time Series sample classification infrastructure; WMVFTS is the first method with a functional implementation
2023-05-25 02:46:07 +04:00
<span class="sig-name descname"><span class="pre">build</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">data</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#list" title="(in Python v3.11)"><span class="pre">list</span></a></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/pyFTS/partitioners/Singleton.html#SingletonPartitioner.build"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#pyFTS.partitioners.Singleton.SingletonPartitioner.build" title="Permalink to this definition"></a></dt>
Documentation update
2018-09-18 23:56:14 +04:00
<dd><p>Perform the partitioning of the Universe of Discourse</p>
Documentation update
2020-08-19 00:06:41 +04:00
<dl class="field-list simple">
<dt class="field-odd">Parameters</dt>
<dd class="field-odd"><p><strong>data</strong> – training data</p>
</dd>
<dt class="field-even">Returns</dt>
<dd class="field-even"><p></p>
</dd>
</dl>
Documentation update
2018-09-18 23:56:14 +04:00
</dd></dl>
Fixing documentation and type hints
2022-04-10 21:32:24 +04:00
</dd></dl>
Time Series sample classification infrastructure; WMVFTS is the first method with a functional implementation
2023-05-25 02:46:07 +04:00
</section>
<section id="module-pyFTS.partitioners.Simple">
Documentation update
2018-12-13 01:41:52 +04:00
<span id="pyfts-partitioners-simple-module"></span><h2>pyFTS.partitioners.Simple module<a class="headerlink" href="#module-pyFTS.partitioners.Simple" title="Permalink to this headline"></a></h2>
<p>Simple Partitioner for manually informed fuzzy sets</p>
Documentation update
2020-08-19 00:06:41 +04:00
<dl class="py class">
Fixing documentation and type hints
2022-04-10 21:32:24 +04:00
<dt class="sig sig-object py" id="pyFTS.partitioners.Simple.SimplePartitioner">
<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">pyFTS.partitioners.Simple.</span></span><span class="sig-name descname"><span class="pre">SimplePartitioner</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="o"><span class="pre">**</span></span><span class="n"><span class="pre">kwargs</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/pyFTS/partitioners/Simple.html#SimplePartitioner"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#pyFTS.partitioners.Simple.SimplePartitioner" title="Permalink to this definition"></a></dt>
Documentation update
2018-12-13 01:41:52 +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>
<p>Simple Partitioner for manually informed fuzzy sets</p>
Documentation update
2020-08-19 00:06:41 +04:00
<dl class="py method">
Fixing documentation and type hints
2022-04-10 21:32:24 +04:00
<dt class="sig sig-object py" id="pyFTS.partitioners.Simple.SimplePartitioner.append">
<span class="sig-name descname"><span class="pre">append</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">name</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">mf</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">parameters</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">**</span></span><span class="n"><span class="pre">kwargs</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/pyFTS/partitioners/Simple.html#SimplePartitioner.append"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#pyFTS.partitioners.Simple.SimplePartitioner.append" title="Permalink to this definition"></a></dt>
Documentation update
2018-12-13 01:41:52 +04:00
<dd><p>Append a new partition (fuzzy set) to the partitioner</p>
Documentation update
2020-08-19 00:06:41 +04:00
<dl class="field-list simple">
<dt class="field-odd">Parameters</dt>
<dd class="field-odd"><ul class="simple">
<li><p><strong>name</strong> – Fuzzy set name</p></li>
<li><p><strong>mf</strong> – One of the pyFTS.common.Membership functions</p></li>
<li><p><strong>parameters</strong> – A list with the parameters for the membership function</p></li>
<li><p><strong>kwargs</strong> – Optional arguments for the fuzzy set</p></li>
Documentation update
2018-12-13 01:41:52 +04:00
</ul>
Documentation update
2020-08-19 00:06:41 +04:00
</dd>
</dl>
Documentation update
2018-12-13 01:41:52 +04:00
</dd></dl>
Documentation update
2020-08-19 00:06:41 +04:00
<dl class="py method">
Fixing documentation and type hints
2022-04-10 21:32:24 +04:00
<dt class="sig sig-object py" id="pyFTS.partitioners.Simple.SimplePartitioner.append_complex">
<span class="sig-name descname"><span class="pre">append_complex</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">fs</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/pyFTS/partitioners/Simple.html#SimplePartitioner.append_complex"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#pyFTS.partitioners.Simple.SimplePartitioner.append_complex" title="Permalink to this definition"></a></dt>
Updating the documentation
2019-02-13 20:13:36 +04:00
<dd></dd></dl>
Fixing documentation and type hints
2022-04-10 21:32:24 +04:00
</dd></dl>
Time Series sample classification infrastructure; WMVFTS is the first method with a functional implementation
2023-05-25 02:46:07 +04:00
</section>
<section id="module-pyFTS.partitioners.SubClust">
Documentation update
2019-12-18 00:39:03 +04:00
<span id="pyfts-partitioners-subclust-module"></span><h2>pyFTS.partitioners.SubClust module<a class="headerlink" href="#module-pyFTS.partitioners.SubClust" title="Permalink to this headline"></a></h2>
<p>Chiu, Stephen L. “Fuzzy model identification based on cluster estimation.” Journal of Intelligent &amp; fuzzy systems 2.3 (1994): 267-278.</p>
Documentation update
2020-08-19 00:06:41 +04:00
<dl class="py class">
Fixing documentation and type hints
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<dt class="sig sig-object py" id="pyFTS.partitioners.SubClust.SubClustPartitioner">
<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">pyFTS.partitioners.SubClust.</span></span><span class="sig-name descname"><span class="pre">SubClustPartitioner</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="o"><span class="pre">**</span></span><span class="n"><span class="pre">kwargs</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/pyFTS/partitioners/SubClust.html#SubClustPartitioner"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#pyFTS.partitioners.SubClust.SubClustPartitioner" 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>
<p>Subtractive Clustering Partitioner</p>
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<dl class="py method">
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<dt class="sig sig-object py" id="pyFTS.partitioners.SubClust.SubClustPartitioner.build">
<span class="sig-name descname"><span class="pre">build</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">data</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/pyFTS/partitioners/SubClust.html#SubClustPartitioner.build"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#pyFTS.partitioners.SubClust.SubClustPartitioner.build" title="Permalink to this definition"></a></dt>
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<dd><p>Perform the partitioning of the Universe of Discourse</p>
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<dl class="field-list simple">
<dt class="field-odd">Parameters</dt>
<dd class="field-odd"><p><strong>data</strong> – training data</p>
</dd>
<dt class="field-even">Returns</dt>
<dd class="field-even"><p></p>
</dd>
</dl>
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</dd></dl>
</dd></dl>
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<dl class="py function">
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<dt class="sig sig-object py" id="pyFTS.partitioners.SubClust.imax">
<span class="sig-prename descclassname"><span class="pre">pyFTS.partitioners.SubClust.</span></span><span class="sig-name descname"><span class="pre">imax</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">vec</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/pyFTS/partitioners/SubClust.html#imax"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#pyFTS.partitioners.SubClust.imax" title="Permalink to this definition"></a></dt>
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<dd></dd></dl>
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<dl class="py function">
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<dt class="sig sig-object py" id="pyFTS.partitioners.SubClust.subclust">
<span class="sig-prename descclassname"><span class="pre">pyFTS.partitioners.SubClust.</span></span><span class="sig-name descname"><span class="pre">subclust</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">data</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">ra</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">rb</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">eps_sup</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">eps_inf</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/pyFTS/partitioners/SubClust.html#subclust"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#pyFTS.partitioners.SubClust.subclust" title="Permalink to this definition"></a></dt>
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<dd></dd></dl>
Time Series sample classification infrastructure; WMVFTS is the first method with a functional implementation
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</section>
<section id="pyfts-partitioners-util-module">
<h2>pyFTS.partitioners.Util module<a class="headerlink" href="#pyfts-partitioners-util-module" title="Permalink to this headline"></a></h2>
</section>
<section id="pyfts-partitioners-parallel-util-module">
<h2>pyFTS.partitioners.parallel_util module<a class="headerlink" href="#pyfts-partitioners-parallel-util-module" title="Permalink to this headline"></a></h2>
</section>
</section>
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Time Series sample classification infrastructure; WMVFTS is the first method with a functional implementation
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<h3><a href="index.html">Table of Contents</a></h3>
<ul>
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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>
Refactoring and documentation updates
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<li><a class="reference internal" href="#module-pyFTS.partitioners.Class">pyFTS.partitioners.Class module</a></li>
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<li><a class="reference internal" href="#module-pyFTS.partitioners.CMeans">pyFTS.partitioners.CMeans module</a></li>
<li><a class="reference internal" href="#module-pyFTS.partitioners.Entropy">pyFTS.partitioners.Entropy module</a></li>
<li><a class="reference internal" href="#module-pyFTS.partitioners.FCM">pyFTS.partitioners.FCM module</a></li>
<li><a class="reference internal" href="#module-pyFTS.partitioners.Grid">pyFTS.partitioners.Grid module</a></li>
Time Series sample classification infrastructure; WMVFTS is the first method with a functional implementation
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<li><a class="reference internal" href="#pyfts-partitioners-huarng-module">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>
<li><a class="reference internal" href="#module-pyFTS.partitioners.Simple">pyFTS.partitioners.Simple module</a></li>
<li><a class="reference internal" href="#module-pyFTS.partitioners.SubClust">pyFTS.partitioners.SubClust module</a></li>
Time Series sample classification infrastructure; WMVFTS is the first method with a functional implementation
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<li><a class="reference internal" href="#pyfts-partitioners-util-module">pyFTS.partitioners.Util module</a></li>
<li><a class="reference internal" href="#pyfts-partitioners-parallel-util-module">pyFTS.partitioners.parallel_util module</a></li>
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</ul>
</li>
</ul>
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