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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-models-nonstationary-package">
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<h1>pyFTS.models.nonstationary package<a class="headerlink" href="#pyfts-models-nonstationary-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="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.models.nonstationary.common">
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<span id="pyfts-models-nonstationary-common-module"></span><h2>pyFTS.models.nonstationary.common module<a class="headerlink" href="#module-pyFTS.models.nonstationary.common" title="Permalink to this headline"></a></h2>
<p>Non Stationary Fuzzy Sets</p>
<p>GARIBALDI, Jonathan M.; JAROSZEWSKI, Marcin; MUSIKASUWAN, Salang. Nonstationary fuzzy sets.
IEEE Transactions on Fuzzy Systems, v. 16, n. 4, p. 1072-1086, 2008.</p>
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<dl class="py class">
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<dt class="sig sig-object py" id="pyFTS.models.nonstationary.common.FuzzySet">
<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">pyFTS.models.nonstationary.common.</span></span><span class="sig-name descname"><span class="pre">FuzzySet</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/models/nonstationary/common.html#FuzzySet"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#pyFTS.models.nonstationary.common.FuzzySet" title="Permalink to this definition"></a></dt>
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<dd><p>Bases: <a class="reference internal" href="pyFTS.common.html#pyFTS.common.FuzzySet.FuzzySet" title="pyFTS.common.FuzzySet.FuzzySet"><code class="xref py py-class docutils literal notranslate"><span class="pre">pyFTS.common.FuzzySet.FuzzySet</span></code></a></p>
<p>Non Stationary Fuzzy Sets</p>
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<dt class="sig sig-object py" id="pyFTS.models.nonstationary.common.FuzzySet.get_lower">
<span class="sig-name descname"><span class="pre">get_lower</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">t</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/pyFTS/models/nonstationary/common.html#FuzzySet.get_lower"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#pyFTS.models.nonstationary.common.FuzzySet.get_lower" title="Permalink to this definition"></a></dt>
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<dd></dd></dl>
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<dt class="sig sig-object py" id="pyFTS.models.nonstationary.common.FuzzySet.get_midpoint">
<span class="sig-name descname"><span class="pre">get_midpoint</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">t</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/pyFTS/models/nonstationary/common.html#FuzzySet.get_midpoint"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#pyFTS.models.nonstationary.common.FuzzySet.get_midpoint" title="Permalink to this definition"></a></dt>
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<dd></dd></dl>
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<dt class="sig sig-object py" id="pyFTS.models.nonstationary.common.FuzzySet.get_upper">
<span class="sig-name descname"><span class="pre">get_upper</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">t</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/pyFTS/models/nonstationary/common.html#FuzzySet.get_upper"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#pyFTS.models.nonstationary.common.FuzzySet.get_upper" title="Permalink to this definition"></a></dt>
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<dd></dd></dl>
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<dt class="sig sig-object py" id="pyFTS.models.nonstationary.common.FuzzySet.location">
<span class="sig-name descname"><span class="pre">location</span></span><a class="headerlink" href="#pyFTS.models.nonstationary.common.FuzzySet.location" title="Permalink to this definition"></a></dt>
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<dd><p>Pertubation function that affects the location of the membership function</p>
</dd></dl>
<dl class="py attribute">
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<dt class="sig sig-object py" id="pyFTS.models.nonstationary.common.FuzzySet.location_params">
<span class="sig-name descname"><span class="pre">location_params</span></span><a class="headerlink" href="#pyFTS.models.nonstationary.common.FuzzySet.location_params" title="Permalink to this definition"></a></dt>
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<dd><p>Parameters for location pertubation function</p>
</dd></dl>
<dl class="py method">
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<dt class="sig sig-object py" id="pyFTS.models.nonstationary.common.FuzzySet.membership">
<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">x</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">t</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/pyFTS/models/nonstationary/common.html#FuzzySet.membership"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#pyFTS.models.nonstationary.common.FuzzySet.membership" title="Permalink to this definition"></a></dt>
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<dd><p>Calculate the membership value of a given input</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>x</strong> – input value</p></li>
<li><p><strong>t</strong> – time displacement or perturbation parameters</p></li>
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</ul>
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</dd>
<dt class="field-even">Returns</dt>
<dd class="field-even"><p>membership value of x at this fuzzy set</p>
</dd>
</dl>
</dd></dl>
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<dt class="sig sig-object py" id="pyFTS.models.nonstationary.common.FuzzySet.noise">
<span class="sig-name descname"><span class="pre">noise</span></span><a class="headerlink" href="#pyFTS.models.nonstationary.common.FuzzySet.noise" title="Permalink to this definition"></a></dt>
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<dd><p>Pertubation function that adds noise on the membership function</p>
</dd></dl>
<dl class="py attribute">
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<dt class="sig sig-object py" id="pyFTS.models.nonstationary.common.FuzzySet.noise_params">
<span class="sig-name descname"><span class="pre">noise_params</span></span><a class="headerlink" href="#pyFTS.models.nonstationary.common.FuzzySet.noise_params" title="Permalink to this definition"></a></dt>
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<dd><p>Parameters for noise pertubation function</p>
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</dd></dl>
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<dt class="sig sig-object py" id="pyFTS.models.nonstationary.common.FuzzySet.perform_location">
<span class="sig-name descname"><span class="pre">perform_location</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">t</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">param</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/pyFTS/models/nonstationary/common.html#FuzzySet.perform_location"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#pyFTS.models.nonstationary.common.FuzzySet.perform_location" title="Permalink to this definition"></a></dt>
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<dd></dd></dl>
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<dt class="sig sig-object py" id="pyFTS.models.nonstationary.common.FuzzySet.perform_width">
<span class="sig-name descname"><span class="pre">perform_width</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">t</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">param</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/pyFTS/models/nonstationary/common.html#FuzzySet.perform_width"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#pyFTS.models.nonstationary.common.FuzzySet.perform_width" title="Permalink to this definition"></a></dt>
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<dd></dd></dl>
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<dt class="sig sig-object py" id="pyFTS.models.nonstationary.common.FuzzySet.perturbate_parameters">
<span class="sig-name descname"><span class="pre">perturbate_parameters</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">t</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/pyFTS/models/nonstationary/common.html#FuzzySet.perturbate_parameters"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#pyFTS.models.nonstationary.common.FuzzySet.perturbate_parameters" title="Permalink to this definition"></a></dt>
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<dd></dd></dl>
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<dl class="py attribute">
<dt class="sig sig-object py" id="pyFTS.models.nonstationary.common.FuzzySet.width">
<span class="sig-name descname"><span class="pre">width</span></span><a class="headerlink" href="#pyFTS.models.nonstationary.common.FuzzySet.width" title="Permalink to this definition"></a></dt>
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<dd><p>Pertubation function that affects the width of the membership function</p>
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</dd></dl>
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<dt class="sig sig-object py" id="pyFTS.models.nonstationary.common.FuzzySet.width_params">
<span class="sig-name descname"><span class="pre">width_params</span></span><a class="headerlink" href="#pyFTS.models.nonstationary.common.FuzzySet.width_params" title="Permalink to this definition"></a></dt>
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<dd><p>Parameters for width pertubation function</p>
</dd></dl>
</dd></dl>
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<span class="sig-prename descclassname"><span class="pre">pyFTS.models.nonstationary.common.</span></span><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>, <em class="sig-param"><span class="n"><span class="pre">partitioner</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">t</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/pyFTS/models/nonstationary/common.html#check_bounds"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#pyFTS.models.nonstationary.common.check_bounds" title="Permalink to this definition"></a></dt>
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<dd></dd></dl>
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<dt class="sig sig-object py" id="pyFTS.models.nonstationary.common.check_bounds_index">
<span class="sig-prename descclassname"><span class="pre">pyFTS.models.nonstationary.common.</span></span><span class="sig-name descname"><span class="pre">check_bounds_index</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">partitioner</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">t</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/pyFTS/models/nonstationary/common.html#check_bounds_index"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#pyFTS.models.nonstationary.common.check_bounds_index" title="Permalink to this definition"></a></dt>
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<dd></dd></dl>
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<dt class="sig sig-object py" id="pyFTS.models.nonstationary.common.fuzzify">
<span class="sig-prename descclassname"><span class="pre">pyFTS.models.nonstationary.common.</span></span><span class="sig-name descname"><span class="pre">fuzzify</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">inst</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">t</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">fuzzySets</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/pyFTS/models/nonstationary/common.html#fuzzify"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#pyFTS.models.nonstationary.common.fuzzify" title="Permalink to this definition"></a></dt>
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<dd><p>Calculate the membership values for a data point given nonstationary 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>inst</strong> – data points</p></li>
<li><p><strong>t</strong> – time displacement of the instance</p></li>
<li><p><strong>fuzzySets</strong> – list of fuzzy sets</p></li>
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</ul>
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</dd>
<dt class="field-even">Returns</dt>
<dd class="field-even"><p>array of membership values</p>
</dd>
</dl>
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</dd></dl>
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<dt class="sig sig-object py" id="pyFTS.models.nonstationary.common.fuzzySeries">
<span class="sig-prename descclassname"><span class="pre">pyFTS.models.nonstationary.common.</span></span><span class="sig-name descname"><span class="pre">fuzzySeries</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">fuzzySets</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">ordered_sets</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">window_size</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">1</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">method</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'fuzzy'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">const_t</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/pyFTS/models/nonstationary/common.html#fuzzySeries"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#pyFTS.models.nonstationary.common.fuzzySeries" title="Permalink to this definition"></a></dt>
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<dd></dd></dl>
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<dt class="sig sig-object py" id="pyFTS.models.nonstationary.common.window_index">
<span class="sig-prename descclassname"><span class="pre">pyFTS.models.nonstationary.common.</span></span><span class="sig-name descname"><span class="pre">window_index</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">t</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">window_size</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/pyFTS/models/nonstationary/common.html#window_index"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#pyFTS.models.nonstationary.common.window_index" 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="pyfts-models-nonstationary-cvfts-module">
<h2>pyFTS.models.nonstationary.cvfts module<a class="headerlink" href="#pyfts-models-nonstationary-cvfts-module" title="Permalink to this headline"></a></h2>
</section>
<section id="module-pyFTS.models.nonstationary.flrg">
Sphinx documentation for ReadTheDocs site
2018-08-30 09:05:29 +04:00
<span id="pyfts-models-nonstationary-flrg-module"></span><h2>pyFTS.models.nonstationary.flrg module<a class="headerlink" href="#module-pyFTS.models.nonstationary.flrg" 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.models.nonstationary.flrg.NonStationaryFLRG">
<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">pyFTS.models.nonstationary.flrg.</span></span><span class="sig-name descname"><span class="pre">NonStationaryFLRG</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">LHS</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/models/nonstationary/flrg.html#NonStationaryFLRG"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#pyFTS.models.nonstationary.flrg.NonStationaryFLRG" 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.common.html#pyFTS.common.flrg.FLRG" title="pyFTS.common.flrg.FLRG"><code class="xref py py-class docutils literal notranslate"><span class="pre">pyFTS.common.flrg.FLRG</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.models.nonstationary.flrg.NonStationaryFLRG.get_key">
<span class="sig-name descname"><span class="pre">get_key</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="reference internal" href="_modules/pyFTS/models/nonstationary/flrg.html#NonStationaryFLRG.get_key"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#pyFTS.models.nonstationary.flrg.NonStationaryFLRG.get_key" title="Permalink to this definition"></a></dt>
Sphinx documentation for ReadTheDocs site
2018-08-30 09:05:29 +04:00
<dd><p>Returns a unique identifier for this FLRG</p>
</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.models.nonstationary.flrg.NonStationaryFLRG.get_lower">
<span class="sig-name descname"><span class="pre">get_lower</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">args</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/pyFTS/models/nonstationary/flrg.html#NonStationaryFLRG.get_lower"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#pyFTS.models.nonstationary.flrg.NonStationaryFLRG.get_lower" title="Permalink to this definition"></a></dt>
Sphinx documentation for ReadTheDocs site
2018-08-30 09:05:29 +04:00
<dd><p>Returns the lower bound value for the RHS fuzzy sets</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>sets</strong> – fuzzy sets</p>
</dd>
<dt class="field-even">Returns</dt>
<dd class="field-even"><p>lower bound value</p>
</dd>
</dl>
</dd></dl>
<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.models.nonstationary.flrg.NonStationaryFLRG.get_membership">
<span class="sig-name descname"><span class="pre">get_membership</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">args</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/pyFTS/models/nonstationary/flrg.html#NonStationaryFLRG.get_membership"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#pyFTS.models.nonstationary.flrg.NonStationaryFLRG.get_membership" title="Permalink to this definition"></a></dt>
Sphinx documentation for ReadTheDocs site
2018-08-30 09:05:29 +04:00
<dd><p>Returns the membership value of the FLRG for the input data</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>data</strong> – input data</p></li>
<li><p><strong>sets</strong> – fuzzy sets</p></li>
Sphinx documentation for ReadTheDocs site
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</ul>
Documentation update
2020-08-19 00:06:41 +04:00
</dd>
<dt class="field-even">Returns</dt>
<dd class="field-even"><p>the membership value</p>
</dd>
</dl>
Sphinx documentation for ReadTheDocs site
2018-08-30 09:05:29 +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.models.nonstationary.flrg.NonStationaryFLRG.get_midpoint">
<span class="sig-name descname"><span class="pre">get_midpoint</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">args</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/pyFTS/models/nonstationary/flrg.html#NonStationaryFLRG.get_midpoint"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#pyFTS.models.nonstationary.flrg.NonStationaryFLRG.get_midpoint" title="Permalink to this definition"></a></dt>
Sphinx documentation for ReadTheDocs site
2018-08-30 09:05:29 +04:00
<dd><p>Returns the midpoint value for the RHS fuzzy sets</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>sets</strong> – fuzzy sets</p>
</dd>
<dt class="field-even">Returns</dt>
<dd class="field-even"><p>the midpoint value</p>
</dd>
</dl>
</dd></dl>
<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.models.nonstationary.flrg.NonStationaryFLRG.get_upper">
<span class="sig-name descname"><span class="pre">get_upper</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">args</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/pyFTS/models/nonstationary/flrg.html#NonStationaryFLRG.get_upper"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#pyFTS.models.nonstationary.flrg.NonStationaryFLRG.get_upper" title="Permalink to this definition"></a></dt>
Sphinx documentation for ReadTheDocs site
2018-08-30 09:05:29 +04:00
<dd><p>Returns the upper bound value for the RHS fuzzy sets</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>sets</strong> – fuzzy sets</p>
</dd>
<dt class="field-even">Returns</dt>
<dd class="field-even"><p>upper bound value</p>
</dd>
</dl>
</dd></dl>
<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.models.nonstationary.flrg.NonStationaryFLRG.unpack_args">
<span class="sig-name descname"><span class="pre">unpack_args</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">args</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/pyFTS/models/nonstationary/flrg.html#NonStationaryFLRG.unpack_args"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#pyFTS.models.nonstationary.flrg.NonStationaryFLRG.unpack_args" title="Permalink to this definition"></a></dt>
Sphinx documentation for ReadTheDocs site
2018-08-30 09:05:29 +04:00
<dd></dd></dl>
</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-models-nonstationary-honsfts-module">
<h2>pyFTS.models.nonstationary.honsfts module<a class="headerlink" href="#pyfts-models-nonstationary-honsfts-module" title="Permalink to this headline"></a></h2>
</section>
<section id="pyfts-models-nonstationary-nsfts-module">
<h2>pyFTS.models.nonstationary.nsfts module<a class="headerlink" href="#pyfts-models-nonstationary-nsfts-module" title="Permalink to this headline"></a></h2>
</section>
<section id="module-pyFTS.models.nonstationary.partitioners">
<span id="pyfts-models-nonstationary-partitioners-module"></span><h2>pyFTS.models.nonstationary.partitioners module<a class="headerlink" href="#module-pyFTS.models.nonstationary.partitioners" title="Permalink to this headline"></a></h2>
Documentation update
2021-01-13 01:04:42 +04:00
<dl class="py class">
Time Series sample classification infrastructure; WMVFTS is the first method with a functional implementation
2023-05-25 02:46:07 +04:00
<dt class="sig sig-object py" id="pyFTS.models.nonstationary.partitioners.PolynomialNonStationaryPartitioner">
<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">pyFTS.models.nonstationary.partitioners.</span></span><span class="sig-name descname"><span class="pre">PolynomialNonStationaryPartitioner</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">part</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/models/nonstationary/partitioners.html#PolynomialNonStationaryPartitioner"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#pyFTS.models.nonstationary.partitioners.PolynomialNonStationaryPartitioner" title="Permalink to this definition"></a></dt>
<dd><p>Bases: <a class="reference internal" href="pyFTS.partitioners.html#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>Non Stationary Universe of Discourse 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.models.nonstationary.partitioners.PolynomialNonStationaryPartitioner.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/models/nonstationary/partitioners.html#PolynomialNonStationaryPartitioner.build"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#pyFTS.models.nonstationary.partitioners.PolynomialNonStationaryPartitioner.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>
</dd></dl>
<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.models.nonstationary.partitioners.PolynomialNonStationaryPartitioner.get_polynomial_perturbations">
<span class="sig-name descname"><span class="pre">get_polynomial_perturbations</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/models/nonstationary/partitioners.html#PolynomialNonStationaryPartitioner.get_polynomial_perturbations"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#pyFTS.models.nonstationary.partitioners.PolynomialNonStationaryPartitioner.get_polynomial_perturbations" 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 method">
Fixing documentation and type hints
2022-04-10 21:32:24 +04:00
<dt class="sig sig-object py" id="pyFTS.models.nonstationary.partitioners.PolynomialNonStationaryPartitioner.poly_width">
<span class="sig-name descname"><span class="pre">poly_width</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">par1</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">par2</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">rng</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">deg</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/pyFTS/models/nonstationary/partitioners.html#PolynomialNonStationaryPartitioner.poly_width"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#pyFTS.models.nonstationary.partitioners.PolynomialNonStationaryPartitioner.poly_width" 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 method">
Fixing documentation and type hints
2022-04-10 21:32:24 +04:00
<dt class="sig sig-object py" id="pyFTS.models.nonstationary.partitioners.PolynomialNonStationaryPartitioner.scale_down">
<span class="sig-name descname"><span class="pre">scale_down</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">pct</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/pyFTS/models/nonstationary/partitioners.html#PolynomialNonStationaryPartitioner.scale_down"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#pyFTS.models.nonstationary.partitioners.PolynomialNonStationaryPartitioner.scale_down" 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 method">
Fixing documentation and type hints
2022-04-10 21:32:24 +04:00
<dt class="sig sig-object py" id="pyFTS.models.nonstationary.partitioners.PolynomialNonStationaryPartitioner.scale_up">
<span class="sig-name descname"><span class="pre">scale_up</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">pct</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/pyFTS/models/nonstationary/partitioners.html#PolynomialNonStationaryPartitioner.scale_up"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#pyFTS.models.nonstationary.partitioners.PolynomialNonStationaryPartitioner.scale_up" title="Permalink to this definition"></a></dt>
Sphinx documentation for ReadTheDocs site
2018-08-30 09:05:29 +04:00
<dd></dd></dl>
</dd></dl>
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.models.nonstationary.partitioners.SimpleNonStationaryPartitioner">
<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">pyFTS.models.nonstationary.partitioners.</span></span><span class="sig-name descname"><span class="pre">SimpleNonStationaryPartitioner</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">part</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/models/nonstationary/partitioners.html#SimpleNonStationaryPartitioner"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#pyFTS.models.nonstationary.partitioners.SimpleNonStationaryPartitioner" 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.html#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>Non Stationary Universe of Discourse 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.models.nonstationary.partitioners.SimpleNonStationaryPartitioner.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/models/nonstationary/partitioners.html#SimpleNonStationaryPartitioner.build"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#pyFTS.models.nonstationary.partitioners.SimpleNonStationaryPartitioner.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.models.nonstationary.partitioners.simplenonstationary_gridpartitioner_builder">
<span class="sig-prename descclassname"><span class="pre">pyFTS.models.nonstationary.partitioners.</span></span><span class="sig-name descname"><span class="pre">simplenonstationary_gridpartitioner_builder</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>, <em class="sig-param"><span class="n"><span class="pre">transformation</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/pyFTS/models/nonstationary/partitioners.html#simplenonstationary_gridpartitioner_builder"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#pyFTS.models.nonstationary.partitioners.simplenonstationary_gridpartitioner_builder" 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.models.nonstationary.perturbation">
Sphinx documentation for ReadTheDocs site
2018-08-30 09:05:29 +04:00
<span id="pyfts-models-nonstationary-perturbation-module"></span><h2>pyFTS.models.nonstationary.perturbation module<a class="headerlink" href="#module-pyFTS.models.nonstationary.perturbation" title="Permalink to this headline"></a></h2>
<p>Pertubation functions for Non Stationary Fuzzy Sets</p>
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.models.nonstationary.perturbation.exponential">
<span class="sig-prename descclassname"><span class="pre">pyFTS.models.nonstationary.perturbation.</span></span><span class="sig-name descname"><span class="pre">exponential</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">parameters</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/pyFTS/models/nonstationary/perturbation.html#exponential"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#pyFTS.models.nonstationary.perturbation.exponential" title="Permalink to this definition"></a></dt>
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<span class="sig-prename descclassname"><span class="pre">pyFTS.models.nonstationary.perturbation.</span></span><span class="sig-name descname"><span class="pre">linear</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">parameters</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/pyFTS/models/nonstationary/perturbation.html#linear"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#pyFTS.models.nonstationary.perturbation.linear" title="Permalink to this definition"></a></dt>
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<dt class="sig sig-object py" id="pyFTS.models.nonstationary.perturbation.periodic">
<span class="sig-prename descclassname"><span class="pre">pyFTS.models.nonstationary.perturbation.</span></span><span class="sig-name descname"><span class="pre">periodic</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">parameters</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/pyFTS/models/nonstationary/perturbation.html#periodic"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#pyFTS.models.nonstationary.perturbation.periodic" title="Permalink to this definition"></a></dt>
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<dt class="sig sig-object py" id="pyFTS.models.nonstationary.perturbation.polynomial">
<span class="sig-prename descclassname"><span class="pre">pyFTS.models.nonstationary.perturbation.</span></span><span class="sig-name descname"><span class="pre">polynomial</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">parameters</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/pyFTS/models/nonstationary/perturbation.html#polynomial"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#pyFTS.models.nonstationary.perturbation.polynomial" title="Permalink to this definition"></a></dt>
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Time Series sample classification infrastructure; WMVFTS is the first method with a functional implementation
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</section>
<section id="pyfts-models-nonstationary-util-module">
<h2>pyFTS.models.nonstationary.util module<a class="headerlink" href="#pyfts-models-nonstationary-util-module" title="Permalink to this headline"></a></h2>
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<section id="module-pyFTS.models.nonstationary">
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<span id="module-contents"></span><h2>Module contents<a class="headerlink" href="#module-pyFTS.models.nonstationary" title="Permalink to this headline"></a></h2>
<p>Fuzzy time series with nonstationary fuzzy sets, for heteroskedastic data</p>
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</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.models.nonstationary package</a><ul>
<li><a class="reference internal" href="#submodules">Submodules</a></li>
<li><a class="reference internal" href="#module-pyFTS.models.nonstationary.common">pyFTS.models.nonstationary.common 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-models-nonstationary-cvfts-module">pyFTS.models.nonstationary.cvfts module</a></li>
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<li><a class="reference internal" href="#module-pyFTS.models.nonstationary.flrg">pyFTS.models.nonstationary.flrg 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-models-nonstationary-honsfts-module">pyFTS.models.nonstationary.honsfts module</a></li>
<li><a class="reference internal" href="#pyfts-models-nonstationary-nsfts-module">pyFTS.models.nonstationary.nsfts module</a></li>
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<li><a class="reference internal" href="#module-pyFTS.models.nonstationary.partitioners">pyFTS.models.nonstationary.partitioners module</a></li>
<li><a class="reference internal" href="#module-pyFTS.models.nonstationary.perturbation">pyFTS.models.nonstationary.perturbation 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-models-nonstationary-util-module">pyFTS.models.nonstationary.util module</a></li>
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<li><a class="reference internal" href="#module-pyFTS.models.nonstationary">Module contents</a></li>
</ul>
</li>
</ul>
Time Series sample classification infrastructure; WMVFTS is the first method with a functional implementation
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