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Configuration and documentation update due the release 1.6
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<title>pyFTS.models.nonstationary package &#8212; pyFTS 1.6 documentation</title>
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<ul>
<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>
<li><a class="reference internal" href="#module-pyFTS.models.nonstationary.cvfts">pyFTS.models.nonstationary.cvfts module</a></li>
<li><a class="reference internal" href="#module-pyFTS.models.nonstationary.flrg">pyFTS.models.nonstationary.flrg module</a></li>
<li><a class="reference internal" href="#module-pyFTS.models.nonstationary.honsfts">pyFTS.models.nonstationary.honsfts module</a></li>
<li><a class="reference internal" href="#module-pyFTS.models.nonstationary.nsfts">pyFTS.models.nonstationary.nsfts module</a></li>
<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>
<li><a class="reference internal" href="#module-pyFTS.models.nonstationary.util">pyFTS.models.nonstationary.util module</a></li>
<li><a class="reference internal" href="#module-pyFTS.models.nonstationary">Module contents</a></li>
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Sphinx documentation for ReadTheDocs site
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<div class="document">
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<div class="body" role="main">
<div class="section" id="pyfts-models-nonstationary-package">
<h1>pyFTS.models.nonstationary package<a class="headerlink" href="#pyfts-models-nonstationary-package" title="Permalink to this headline"></a></h1>
<div class="section" id="submodules">
<h2>Submodules<a class="headerlink" href="#submodules" title="Permalink to this headline"></a></h2>
</div>
<div class="section" id="module-pyFTS.models.nonstationary.common">
<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>
<dl class="class">
<dt id="pyFTS.models.nonstationary.common.FuzzySet">
New benchmarks.Tests module; Improvements on forecast_ahead_* function; Documentation update
2019-06-06 18:04:20 +04:00
<em class="property">class </em><code class="descclassname">pyFTS.models.nonstationary.common.</code><code class="descname">FuzzySet</code><span class="sig-paren">(</span><em>name</em>, <em>mf</em>, <em>parameters</em>, <em>**kwargs</em><span class="sig-paren">)</span><a class="headerlink" href="#pyFTS.models.nonstationary.common.FuzzySet" title="Permalink to this definition"></a></dt>
Sphinx documentation for ReadTheDocs site
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<dd><p>Bases: <a class="reference internal" href="pyFTS.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>
<dl class="method">
<dt id="pyFTS.models.nonstationary.common.FuzzySet.get_lower">
New benchmarks.Tests module; Improvements on forecast_ahead_* function; Documentation update
2019-06-06 18:04:20 +04:00
<code class="descname">get_lower</code><span class="sig-paren">(</span><em>t</em><span class="sig-paren">)</span><a class="headerlink" href="#pyFTS.models.nonstationary.common.FuzzySet.get_lower" title="Permalink to this definition"></a></dt>
Sphinx documentation for ReadTheDocs site
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<dd></dd></dl>
<dl class="method">
<dt id="pyFTS.models.nonstationary.common.FuzzySet.get_midpoint">
New benchmarks.Tests module; Improvements on forecast_ahead_* function; Documentation update
2019-06-06 18:04:20 +04:00
<code class="descname">get_midpoint</code><span class="sig-paren">(</span><em>t</em><span class="sig-paren">)</span><a class="headerlink" href="#pyFTS.models.nonstationary.common.FuzzySet.get_midpoint" title="Permalink to this definition"></a></dt>
Sphinx documentation for ReadTheDocs site
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<dd></dd></dl>
<dl class="method">
<dt id="pyFTS.models.nonstationary.common.FuzzySet.get_upper">
New benchmarks.Tests module; Improvements on forecast_ahead_* function; Documentation update
2019-06-06 18:04:20 +04:00
<code class="descname">get_upper</code><span class="sig-paren">(</span><em>t</em><span class="sig-paren">)</span><a class="headerlink" href="#pyFTS.models.nonstationary.common.FuzzySet.get_upper" title="Permalink to this definition"></a></dt>
Sphinx documentation for ReadTheDocs site
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<dd></dd></dl>
<dl class="method">
<dt id="pyFTS.models.nonstationary.common.FuzzySet.membership">
New benchmarks.Tests module; Improvements on forecast_ahead_* function; Documentation update
2019-06-06 18:04:20 +04:00
<code class="descname">membership</code><span class="sig-paren">(</span><em>x</em>, <em>t</em><span class="sig-paren">)</span><a class="headerlink" href="#pyFTS.models.nonstationary.common.FuzzySet.membership" title="Permalink to this definition"></a></dt>
Sphinx documentation for ReadTheDocs site
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<dd><p>Calculate the membership value of a given input</p>
<table class="docutils field-list" frame="void" rules="none">
<col class="field-name" />
<col class="field-body" />
<tbody valign="top">
<tr class="field-odd field"><th class="field-name">Parameters:</th><td class="field-body"><ul class="first simple">
<li><strong>x</strong> – input value</li>
<li><strong>t</strong> – time displacement or perturbation parameters</li>
</ul>
</td>
</tr>
<tr class="field-even field"><th class="field-name">Returns:</th><td class="field-body"><p class="first last">membership value of x at this fuzzy set</p>
</td>
</tr>
</tbody>
</table>
</dd></dl>
<dl class="method">
<dt id="pyFTS.models.nonstationary.common.FuzzySet.perform_location">
New benchmarks.Tests module; Improvements on forecast_ahead_* function; Documentation update
2019-06-06 18:04:20 +04:00
<code class="descname">perform_location</code><span class="sig-paren">(</span><em>t</em>, <em>param</em><span class="sig-paren">)</span><a class="headerlink" href="#pyFTS.models.nonstationary.common.FuzzySet.perform_location" title="Permalink to this definition"></a></dt>
Sphinx documentation for ReadTheDocs site
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<dd></dd></dl>
<dl class="method">
<dt id="pyFTS.models.nonstationary.common.FuzzySet.perform_width">
New benchmarks.Tests module; Improvements on forecast_ahead_* function; Documentation update
2019-06-06 18:04:20 +04:00
<code class="descname">perform_width</code><span class="sig-paren">(</span><em>t</em>, <em>param</em><span class="sig-paren">)</span><a class="headerlink" href="#pyFTS.models.nonstationary.common.FuzzySet.perform_width" title="Permalink to this definition"></a></dt>
Sphinx documentation for ReadTheDocs site
2018-08-30 09:05:29 +04:00
<dd></dd></dl>
<dl class="method">
<dt id="pyFTS.models.nonstationary.common.FuzzySet.perturbate_parameters">
New benchmarks.Tests module; Improvements on forecast_ahead_* function; Documentation update
2019-06-06 18:04:20 +04:00
<code class="descname">perturbate_parameters</code><span class="sig-paren">(</span><em>t</em><span class="sig-paren">)</span><a class="headerlink" href="#pyFTS.models.nonstationary.common.FuzzySet.perturbate_parameters" 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>
<dl class="function">
<dt id="pyFTS.models.nonstationary.common.check_bounds">
New benchmarks.Tests module; Improvements on forecast_ahead_* function; Documentation update
2019-06-06 18:04:20 +04:00
<code class="descclassname">pyFTS.models.nonstationary.common.</code><code class="descname">check_bounds</code><span class="sig-paren">(</span><em>data</em>, <em>partitioner</em>, <em>t</em><span class="sig-paren">)</span><a class="headerlink" href="#pyFTS.models.nonstationary.common.check_bounds" title="Permalink to this definition"></a></dt>
Sphinx documentation for ReadTheDocs site
2018-08-30 09:05:29 +04:00
<dd></dd></dl>
<dl class="function">
<dt id="pyFTS.models.nonstationary.common.check_bounds_index">
New benchmarks.Tests module; Improvements on forecast_ahead_* function; Documentation update
2019-06-06 18:04:20 +04:00
<code class="descclassname">pyFTS.models.nonstationary.common.</code><code class="descname">check_bounds_index</code><span class="sig-paren">(</span><em>data</em>, <em>partitioner</em>, <em>t</em><span class="sig-paren">)</span><a class="headerlink" href="#pyFTS.models.nonstationary.common.check_bounds_index" title="Permalink to this definition"></a></dt>
Sphinx documentation for ReadTheDocs site
2018-08-30 09:05:29 +04:00
<dd></dd></dl>
<dl class="function">
<dt id="pyFTS.models.nonstationary.common.fuzzify">
New benchmarks.Tests module; Improvements on forecast_ahead_* function; Documentation update
2019-06-06 18:04:20 +04:00
<code class="descclassname">pyFTS.models.nonstationary.common.</code><code class="descname">fuzzify</code><span class="sig-paren">(</span><em>inst</em>, <em>t</em>, <em>fuzzySets</em><span class="sig-paren">)</span><a class="headerlink" href="#pyFTS.models.nonstationary.common.fuzzify" title="Permalink to this definition"></a></dt>
Sphinx documentation for ReadTheDocs site
2018-08-30 09:05:29 +04:00
<dd><p>Calculate the membership values for a data point given nonstationary fuzzy sets</p>
<table class="docutils field-list" frame="void" rules="none">
<col class="field-name" />
<col class="field-body" />
<tbody valign="top">
<tr class="field-odd field"><th class="field-name">Parameters:</th><td class="field-body"><ul class="first simple">
<li><strong>inst</strong> – data points</li>
<li><strong>t</strong> – time displacement of the instance</li>
<li><strong>fuzzySets</strong> – list of fuzzy sets</li>
</ul>
</td>
</tr>
<tr class="field-even field"><th class="field-name">Returns:</th><td class="field-body"><p class="first last">array of membership values</p>
</td>
</tr>
</tbody>
</table>
</dd></dl>
<dl class="function">
<dt id="pyFTS.models.nonstationary.common.fuzzySeries">
New benchmarks.Tests module; Improvements on forecast_ahead_* function; Documentation update
2019-06-06 18:04:20 +04:00
<code class="descclassname">pyFTS.models.nonstationary.common.</code><code class="descname">fuzzySeries</code><span class="sig-paren">(</span><em>data</em>, <em>fuzzySets</em>, <em>ordered_sets</em>, <em>window_size=1</em>, <em>method='fuzzy'</em>, <em>const_t=None</em><span class="sig-paren">)</span><a class="headerlink" href="#pyFTS.models.nonstationary.common.fuzzySeries" title="Permalink to this definition"></a></dt>
Sphinx documentation for ReadTheDocs site
2018-08-30 09:05:29 +04:00
<dd></dd></dl>
<dl class="function">
<dt id="pyFTS.models.nonstationary.common.window_index">
New benchmarks.Tests module; Improvements on forecast_ahead_* function; Documentation update
2019-06-06 18:04:20 +04:00
<code class="descclassname">pyFTS.models.nonstationary.common.</code><code class="descname">window_index</code><span class="sig-paren">(</span><em>t</em>, <em>window_size</em><span class="sig-paren">)</span><a class="headerlink" href="#pyFTS.models.nonstationary.common.window_index" title="Permalink to this definition"></a></dt>
Sphinx documentation for ReadTheDocs site
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<dd></dd></dl>
</div>
<div class="section" id="module-pyFTS.models.nonstationary.cvfts">
<span id="pyfts-models-nonstationary-cvfts-module"></span><h2>pyFTS.models.nonstationary.cvfts module<a class="headerlink" href="#module-pyFTS.models.nonstationary.cvfts" title="Permalink to this headline"></a></h2>
<dl class="class">
<dt id="pyFTS.models.nonstationary.cvfts.ConditionalVarianceFTS">
New benchmarks.Tests module; Improvements on forecast_ahead_* function; Documentation update
2019-06-06 18:04:20 +04:00
<em class="property">class </em><code class="descclassname">pyFTS.models.nonstationary.cvfts.</code><code class="descname">ConditionalVarianceFTS</code><span class="sig-paren">(</span><em>**kwargs</em><span class="sig-paren">)</span><a class="headerlink" href="#pyFTS.models.nonstationary.cvfts.ConditionalVarianceFTS" 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.models.html#pyFTS.models.hofts.HighOrderFTS" title="pyFTS.models.hofts.HighOrderFTS"><code class="xref py py-class docutils literal notranslate"><span class="pre">pyFTS.models.hofts.HighOrderFTS</span></code></a></p>
<dl class="method">
<dt id="pyFTS.models.nonstationary.cvfts.ConditionalVarianceFTS.forecast">
New benchmarks.Tests module; Improvements on forecast_ahead_* function; Documentation update
2019-06-06 18:04:20 +04:00
<code class="descname">forecast</code><span class="sig-paren">(</span><em>ndata</em>, <em>**kwargs</em><span class="sig-paren">)</span><a class="headerlink" href="#pyFTS.models.nonstationary.cvfts.ConditionalVarianceFTS.forecast" title="Permalink to this definition"></a></dt>
Sphinx documentation for ReadTheDocs site
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<dd><p>Point forecast one step ahead</p>
<table class="docutils field-list" frame="void" rules="none">
<col class="field-name" />
<col class="field-body" />
<tbody valign="top">
<tr class="field-odd field"><th class="field-name">Parameters:</th><td class="field-body"><ul class="first simple">
<li><strong>data</strong> – time series data with the minimal length equal to the max_lag of the model</li>
<li><strong>kwargs</strong> – model specific parameters</li>
</ul>
</td>
</tr>
<tr class="field-even field"><th class="field-name">Returns:</th><td class="field-body"><p class="first last">a list with the forecasted values</p>
</td>
</tr>
</tbody>
</table>
</dd></dl>
<dl class="method">
<dt id="pyFTS.models.nonstationary.cvfts.ConditionalVarianceFTS.forecast_interval">
New benchmarks.Tests module; Improvements on forecast_ahead_* function; Documentation update
2019-06-06 18:04:20 +04:00
<code class="descname">forecast_interval</code><span class="sig-paren">(</span><em>ndata</em>, <em>**kwargs</em><span class="sig-paren">)</span><a class="headerlink" href="#pyFTS.models.nonstationary.cvfts.ConditionalVarianceFTS.forecast_interval" title="Permalink to this definition"></a></dt>
Sphinx documentation for ReadTheDocs site
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<dd><p>Interval forecast one step ahead</p>
<table class="docutils field-list" frame="void" rules="none">
<col class="field-name" />
<col class="field-body" />
<tbody valign="top">
<tr class="field-odd field"><th class="field-name">Parameters:</th><td class="field-body"><ul class="first simple">
<li><strong>data</strong> – time series data with the minimal length equal to the max_lag of the model</li>
<li><strong>kwargs</strong> – model specific parameters</li>
</ul>
</td>
</tr>
Documentation update
2018-10-29 23:48:05 +04:00
<tr class="field-even field"><th class="field-name">Returns:</th><td class="field-body"><p class="first last">a list with the prediction intervals</p>
Sphinx documentation for ReadTheDocs site
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</td>
</tr>
</tbody>
</table>
</dd></dl>
<dl class="method">
<dt id="pyFTS.models.nonstationary.cvfts.ConditionalVarianceFTS.generate_flrg">
New benchmarks.Tests module; Improvements on forecast_ahead_* function; Documentation update
2019-06-06 18:04:20 +04:00
<code class="descname">generate_flrg</code><span class="sig-paren">(</span><em>flrs</em>, <em>**kwargs</em><span class="sig-paren">)</span><a class="headerlink" href="#pyFTS.models.nonstationary.cvfts.ConditionalVarianceFTS.generate_flrg" title="Permalink to this definition"></a></dt>
Sphinx documentation for ReadTheDocs site
2018-08-30 09:05:29 +04:00
<dd></dd></dl>
<dl class="method">
<dt id="pyFTS.models.nonstationary.cvfts.ConditionalVarianceFTS.perturbation_factors">
New benchmarks.Tests module; Improvements on forecast_ahead_* function; Documentation update
2019-06-06 18:04:20 +04:00
<code class="descname">perturbation_factors</code><span class="sig-paren">(</span><em>data</em>, <em>**kwargs</em><span class="sig-paren">)</span><a class="headerlink" href="#pyFTS.models.nonstationary.cvfts.ConditionalVarianceFTS.perturbation_factors" title="Permalink to this definition"></a></dt>
Sphinx documentation for ReadTheDocs site
2018-08-30 09:05:29 +04:00
<dd></dd></dl>
<dl class="method">
<dt id="pyFTS.models.nonstationary.cvfts.ConditionalVarianceFTS.perturbation_factors__old">
New benchmarks.Tests module; Improvements on forecast_ahead_* function; Documentation update
2019-06-06 18:04:20 +04:00
<code class="descname">perturbation_factors__old</code><span class="sig-paren">(</span><em>data</em><span class="sig-paren">)</span><a class="headerlink" href="#pyFTS.models.nonstationary.cvfts.ConditionalVarianceFTS.perturbation_factors__old" title="Permalink to this definition"></a></dt>
Sphinx documentation for ReadTheDocs site
2018-08-30 09:05:29 +04:00
<dd></dd></dl>
<dl class="method">
<dt id="pyFTS.models.nonstationary.cvfts.ConditionalVarianceFTS.train">
New benchmarks.Tests module; Improvements on forecast_ahead_* function; Documentation update
2019-06-06 18:04:20 +04:00
<code class="descname">train</code><span class="sig-paren">(</span><em>ndata</em>, <em>**kwargs</em><span class="sig-paren">)</span><a class="headerlink" href="#pyFTS.models.nonstationary.cvfts.ConditionalVarianceFTS.train" title="Permalink to this definition"></a></dt>
Sphinx documentation for ReadTheDocs site
2018-08-30 09:05:29 +04:00
<dd><p>Method specific parameter fitting</p>
<table class="docutils field-list" frame="void" rules="none">
<col class="field-name" />
<col class="field-body" />
<tbody valign="top">
<tr class="field-odd field"><th class="field-name">Parameters:</th><td class="field-body"><ul class="first last simple">
<li><strong>data</strong> – training time series data</li>
<li><strong>kwargs</strong> – Method specific parameters</li>
</ul>
</td>
</tr>
</tbody>
</table>
</dd></dl>
</dd></dl>
<dl class="class">
<dt id="pyFTS.models.nonstationary.cvfts.HighOrderNonstationaryFLRG">
New benchmarks.Tests module; Improvements on forecast_ahead_* function; Documentation update
2019-06-06 18:04:20 +04:00
<em class="property">class </em><code class="descclassname">pyFTS.models.nonstationary.cvfts.</code><code class="descname">HighOrderNonstationaryFLRG</code><span class="sig-paren">(</span><em>order</em>, <em>**kwargs</em><span class="sig-paren">)</span><a class="headerlink" href="#pyFTS.models.nonstationary.cvfts.HighOrderNonstationaryFLRG" 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.models.html#pyFTS.models.hofts.HighOrderFTS" title="pyFTS.models.hofts.HighOrderFTS"><code class="xref py py-class docutils literal notranslate"><span class="pre">pyFTS.models.hofts.HighOrderFTS</span></code></a></p>
<p>Conventional High Order Fuzzy Logical Relationship Group</p>
<dl class="method">
<dt id="pyFTS.models.nonstationary.cvfts.HighOrderNonstationaryFLRG.append_lhs">
New benchmarks.Tests module; Improvements on forecast_ahead_* function; Documentation update
2019-06-06 18:04:20 +04:00
<code class="descname">append_lhs</code><span class="sig-paren">(</span><em>c</em><span class="sig-paren">)</span><a class="headerlink" href="#pyFTS.models.nonstationary.cvfts.HighOrderNonstationaryFLRG.append_lhs" title="Permalink to this definition"></a></dt>
Sphinx documentation for ReadTheDocs site
2018-08-30 09:05:29 +04:00
<dd></dd></dl>
<dl class="method">
<dt id="pyFTS.models.nonstationary.cvfts.HighOrderNonstationaryFLRG.append_rhs">
New benchmarks.Tests module; Improvements on forecast_ahead_* function; Documentation update
2019-06-06 18:04:20 +04:00
<code class="descname">append_rhs</code><span class="sig-paren">(</span><em>c</em>, <em>**kwargs</em><span class="sig-paren">)</span><a class="headerlink" href="#pyFTS.models.nonstationary.cvfts.HighOrderNonstationaryFLRG.append_rhs" 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>
</div>
<div class="section" id="module-pyFTS.models.nonstationary.flrg">
<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>
<dl class="class">
<dt id="pyFTS.models.nonstationary.flrg.NonStationaryFLRG">
New benchmarks.Tests module; Improvements on forecast_ahead_* function; Documentation update
2019-06-06 18:04:20 +04:00
<em class="property">class </em><code class="descclassname">pyFTS.models.nonstationary.flrg.</code><code class="descname">NonStationaryFLRG</code><span class="sig-paren">(</span><em>LHS</em>, <em>**kwargs</em><span class="sig-paren">)</span><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>
<dl class="method">
<dt id="pyFTS.models.nonstationary.flrg.NonStationaryFLRG.get_key">
New benchmarks.Tests module; Improvements on forecast_ahead_* function; Documentation update
2019-06-06 18:04:20 +04:00
<code class="descname">get_key</code><span class="sig-paren">(</span><span class="sig-paren">)</span><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>
<dl class="method">
<dt id="pyFTS.models.nonstationary.flrg.NonStationaryFLRG.get_lower">
New benchmarks.Tests module; Improvements on forecast_ahead_* function; Documentation update
2019-06-06 18:04:20 +04:00
<code class="descname">get_lower</code><span class="sig-paren">(</span><em>*args</em><span class="sig-paren">)</span><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>
<table class="docutils field-list" frame="void" rules="none">
<col class="field-name" />
<col class="field-body" />
<tbody valign="top">
<tr class="field-odd field"><th class="field-name">Parameters:</th><td class="field-body"><strong>sets</strong> – fuzzy sets</td>
</tr>
<tr class="field-even field"><th class="field-name">Returns:</th><td class="field-body">lower bound value</td>
</tr>
</tbody>
</table>
</dd></dl>
<dl class="method">
<dt id="pyFTS.models.nonstationary.flrg.NonStationaryFLRG.get_membership">
New benchmarks.Tests module; Improvements on forecast_ahead_* function; Documentation update
2019-06-06 18:04:20 +04:00
<code class="descname">get_membership</code><span class="sig-paren">(</span><em>data</em>, <em>*args</em><span class="sig-paren">)</span><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>
<table class="docutils field-list" frame="void" rules="none">
<col class="field-name" />
<col class="field-body" />
<tbody valign="top">
<tr class="field-odd field"><th class="field-name">Parameters:</th><td class="field-body"><ul class="first simple">
<li><strong>data</strong> – input data</li>
<li><strong>sets</strong> – fuzzy sets</li>
</ul>
</td>
</tr>
<tr class="field-even field"><th class="field-name">Returns:</th><td class="field-body"><p class="first last">the membership value</p>
</td>
</tr>
</tbody>
</table>
</dd></dl>
<dl class="method">
<dt id="pyFTS.models.nonstationary.flrg.NonStationaryFLRG.get_midpoint">
New benchmarks.Tests module; Improvements on forecast_ahead_* function; Documentation update
2019-06-06 18:04:20 +04:00
<code class="descname">get_midpoint</code><span class="sig-paren">(</span><em>*args</em><span class="sig-paren">)</span><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>
<table class="docutils field-list" frame="void" rules="none">
<col class="field-name" />
<col class="field-body" />
<tbody valign="top">
<tr class="field-odd field"><th class="field-name">Parameters:</th><td class="field-body"><strong>sets</strong> – fuzzy sets</td>
</tr>
<tr class="field-even field"><th class="field-name">Returns:</th><td class="field-body">the midpoint value</td>
</tr>
</tbody>
</table>
</dd></dl>
<dl class="method">
<dt id="pyFTS.models.nonstationary.flrg.NonStationaryFLRG.get_upper">
New benchmarks.Tests module; Improvements on forecast_ahead_* function; Documentation update
2019-06-06 18:04:20 +04:00
<code class="descname">get_upper</code><span class="sig-paren">(</span><em>*args</em><span class="sig-paren">)</span><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>
<table class="docutils field-list" frame="void" rules="none">
<col class="field-name" />
<col class="field-body" />
<tbody valign="top">
<tr class="field-odd field"><th class="field-name">Parameters:</th><td class="field-body"><strong>sets</strong> – fuzzy sets</td>
</tr>
<tr class="field-even field"><th class="field-name">Returns:</th><td class="field-body">upper bound value</td>
</tr>
</tbody>
</table>
</dd></dl>
<dl class="method">
<dt id="pyFTS.models.nonstationary.flrg.NonStationaryFLRG.unpack_args">
New benchmarks.Tests module; Improvements on forecast_ahead_* function; Documentation update
2019-06-06 18:04:20 +04:00
<code class="descname">unpack_args</code><span class="sig-paren">(</span><em>*args</em><span class="sig-paren">)</span><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>
</div>
<div class="section" id="module-pyFTS.models.nonstationary.honsfts">
<span id="pyfts-models-nonstationary-honsfts-module"></span><h2>pyFTS.models.nonstationary.honsfts module<a class="headerlink" href="#module-pyFTS.models.nonstationary.honsfts" title="Permalink to this headline"></a></h2>
<dl class="class">
<dt id="pyFTS.models.nonstationary.honsfts.HighOrderNonStationaryFLRG">
New benchmarks.Tests module; Improvements on forecast_ahead_* function; Documentation update
2019-06-06 18:04:20 +04:00
<em class="property">class </em><code class="descclassname">pyFTS.models.nonstationary.honsfts.</code><code class="descname">HighOrderNonStationaryFLRG</code><span class="sig-paren">(</span><em>order</em>, <em>**kwargs</em><span class="sig-paren">)</span><a class="headerlink" href="#pyFTS.models.nonstationary.honsfts.HighOrderNonStationaryFLRG" 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.models.nonstationary.flrg.NonStationaryFLRG" title="pyFTS.models.nonstationary.flrg.NonStationaryFLRG"><code class="xref py py-class docutils literal notranslate"><span class="pre">pyFTS.models.nonstationary.flrg.NonStationaryFLRG</span></code></a></p>
<p>First Order NonStationary Fuzzy Logical Relationship Group</p>
<dl class="method">
<dt id="pyFTS.models.nonstationary.honsfts.HighOrderNonStationaryFLRG.append_lhs">
New benchmarks.Tests module; Improvements on forecast_ahead_* function; Documentation update
2019-06-06 18:04:20 +04:00
<code class="descname">append_lhs</code><span class="sig-paren">(</span><em>c</em><span class="sig-paren">)</span><a class="headerlink" href="#pyFTS.models.nonstationary.honsfts.HighOrderNonStationaryFLRG.append_lhs" title="Permalink to this definition"></a></dt>
Sphinx documentation for ReadTheDocs site
2018-08-30 09:05:29 +04:00
<dd></dd></dl>
<dl class="method">
<dt id="pyFTS.models.nonstationary.honsfts.HighOrderNonStationaryFLRG.append_rhs">
Documentation update
2019-12-18 00:39:03 +04:00
<code class="descname">append_rhs</code><span class="sig-paren">(</span><em>fset</em>, <em>**kwargs</em><span class="sig-paren">)</span><a class="headerlink" href="#pyFTS.models.nonstationary.honsfts.HighOrderNonStationaryFLRG.append_rhs" 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
2019-12-18 00:39:03 +04:00
<dl class="method">
<dt id="pyFTS.models.nonstationary.honsfts.HighOrderNonStationaryFLRG.get_lower">
<code class="descname">get_lower</code><span class="sig-paren">(</span><em>sets</em>, <em>perturb</em><span class="sig-paren">)</span><a class="headerlink" href="#pyFTS.models.nonstationary.honsfts.HighOrderNonStationaryFLRG.get_lower" title="Permalink to this definition"></a></dt>
<dd><p>Returns the lower bound value for the RHS fuzzy sets</p>
<table class="docutils field-list" frame="void" rules="none">
<col class="field-name" />
<col class="field-body" />
<tbody valign="top">
<tr class="field-odd field"><th class="field-name">Parameters:</th><td class="field-body"><strong>sets</strong> – fuzzy sets</td>
</tr>
<tr class="field-even field"><th class="field-name">Returns:</th><td class="field-body">lower bound value</td>
</tr>
</tbody>
</table>
Sphinx documentation for ReadTheDocs site
2018-08-30 09:05:29 +04:00
</dd></dl>
<dl class="method">
Documentation update
2019-12-18 00:39:03 +04:00
<dt id="pyFTS.models.nonstationary.honsfts.HighOrderNonStationaryFLRG.get_midpoint">
<code class="descname">get_midpoint</code><span class="sig-paren">(</span><em>sets</em>, <em>perturb</em><span class="sig-paren">)</span><a class="headerlink" href="#pyFTS.models.nonstationary.honsfts.HighOrderNonStationaryFLRG.get_midpoint" title="Permalink to this definition"></a></dt>
<dd><p>Returns the midpoint value for the RHS fuzzy sets</p>
Sphinx documentation for ReadTheDocs site
2018-08-30 09:05:29 +04:00
<table class="docutils field-list" frame="void" rules="none">
<col class="field-name" />
<col class="field-body" />
<tbody valign="top">
Documentation update
2019-12-18 00:39:03 +04:00
<tr class="field-odd field"><th class="field-name">Parameters:</th><td class="field-body"><strong>sets</strong> – fuzzy sets</td>
Sphinx documentation for ReadTheDocs site
2018-08-30 09:05:29 +04:00
</tr>
Documentation update
2019-12-18 00:39:03 +04:00
<tr class="field-even field"><th class="field-name">Returns:</th><td class="field-body">the midpoint value</td>
Sphinx documentation for ReadTheDocs site
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</tr>
</tbody>
</table>
</dd></dl>
<dl class="method">
Documentation update
2019-12-18 00:39:03 +04:00
<dt id="pyFTS.models.nonstationary.honsfts.HighOrderNonStationaryFLRG.get_upper">
<code class="descname">get_upper</code><span class="sig-paren">(</span><em>sets</em>, <em>perturb</em><span class="sig-paren">)</span><a class="headerlink" href="#pyFTS.models.nonstationary.honsfts.HighOrderNonStationaryFLRG.get_upper" title="Permalink to this definition"></a></dt>
<dd><p>Returns the upper bound value for the RHS fuzzy sets</p>
<table class="docutils field-list" frame="void" rules="none">
<col class="field-name" />
<col class="field-body" />
<tbody valign="top">
<tr class="field-odd field"><th class="field-name">Parameters:</th><td class="field-body"><strong>sets</strong> – fuzzy sets</td>
</tr>
<tr class="field-even field"><th class="field-name">Returns:</th><td class="field-body">upper bound value</td>
</tr>
</tbody>
</table>
</dd></dl>
<dl class="method">
<dt id="pyFTS.models.nonstationary.honsfts.HighOrderNonStationaryFLRG.weights">
<code class="descname">weights</code><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="headerlink" href="#pyFTS.models.nonstationary.honsfts.HighOrderNonStationaryFLRG.weights" title="Permalink to this definition"></a></dt>
<dd></dd></dl>
</dd></dl>
<dl class="class">
<dt id="pyFTS.models.nonstationary.honsfts.HighOrderNonStationaryFTS">
<em class="property">class </em><code class="descclassname">pyFTS.models.nonstationary.honsfts.</code><code class="descname">HighOrderNonStationaryFTS</code><span class="sig-paren">(</span><em>**kwargs</em><span class="sig-paren">)</span><a class="headerlink" href="#pyFTS.models.nonstationary.honsfts.HighOrderNonStationaryFTS" title="Permalink to this definition"></a></dt>
<dd><p>Bases: <a class="reference internal" href="#pyFTS.models.nonstationary.nsfts.NonStationaryFTS" title="pyFTS.models.nonstationary.nsfts.NonStationaryFTS"><code class="xref py py-class docutils literal notranslate"><span class="pre">pyFTS.models.nonstationary.nsfts.NonStationaryFTS</span></code></a></p>
<p>NonStationaryFTS Fuzzy Time Series</p>
<dl class="method">
<dt id="pyFTS.models.nonstationary.honsfts.HighOrderNonStationaryFTS.configure_lags">
<code class="descname">configure_lags</code><span class="sig-paren">(</span><em>**kwargs</em><span class="sig-paren">)</span><a class="headerlink" href="#pyFTS.models.nonstationary.honsfts.HighOrderNonStationaryFTS.configure_lags" title="Permalink to this definition"></a></dt>
<dd></dd></dl>
<dl class="method">
<dt id="pyFTS.models.nonstationary.honsfts.HighOrderNonStationaryFTS.forecast">
<code class="descname">forecast</code><span class="sig-paren">(</span><em>ndata</em>, <em>**kwargs</em><span class="sig-paren">)</span><a class="headerlink" href="#pyFTS.models.nonstationary.honsfts.HighOrderNonStationaryFTS.forecast" title="Permalink to this definition"></a></dt>
<dd><p>Point forecast one step ahead</p>
Sphinx documentation for ReadTheDocs site
2018-08-30 09:05:29 +04:00
<table class="docutils field-list" frame="void" rules="none">
<col class="field-name" />
<col class="field-body" />
<tbody valign="top">
<tr class="field-odd field"><th class="field-name">Parameters:</th><td class="field-body"><ul class="first simple">
<li><strong>data</strong> – time series data with the minimal length equal to the max_lag of the model</li>
<li><strong>kwargs</strong> – model specific parameters</li>
</ul>
</td>
</tr>
Documentation update
2019-12-18 00:39:03 +04:00
<tr class="field-even field"><th class="field-name">Returns:</th><td class="field-body"><p class="first last">a list with the forecasted values</p>
Sphinx documentation for ReadTheDocs site
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</td>
</tr>
</tbody>
</table>
</dd></dl>
<dl class="method">
<dt id="pyFTS.models.nonstationary.honsfts.HighOrderNonStationaryFTS.generate_flrg">
New benchmarks.Tests module; Improvements on forecast_ahead_* function; Documentation update
2019-06-06 18:04:20 +04:00
<code class="descname">generate_flrg</code><span class="sig-paren">(</span><em>data</em>, <em>**kwargs</em><span class="sig-paren">)</span><a class="headerlink" href="#pyFTS.models.nonstationary.honsfts.HighOrderNonStationaryFTS.generate_flrg" title="Permalink to this definition"></a></dt>
Sphinx documentation for ReadTheDocs site
2018-08-30 09:05:29 +04:00
<dd></dd></dl>
<dl class="method">
<dt id="pyFTS.models.nonstationary.honsfts.HighOrderNonStationaryFTS.train">
New benchmarks.Tests module; Improvements on forecast_ahead_* function; Documentation update
2019-06-06 18:04:20 +04:00
<code class="descname">train</code><span class="sig-paren">(</span><em>data</em>, <em>**kwargs</em><span class="sig-paren">)</span><a class="headerlink" href="#pyFTS.models.nonstationary.honsfts.HighOrderNonStationaryFTS.train" title="Permalink to this definition"></a></dt>
Sphinx documentation for ReadTheDocs site
2018-08-30 09:05:29 +04:00
<dd><p>Method specific parameter fitting</p>
<table class="docutils field-list" frame="void" rules="none">
<col class="field-name" />
<col class="field-body" />
<tbody valign="top">
<tr class="field-odd field"><th class="field-name">Parameters:</th><td class="field-body"><ul class="first last simple">
<li><strong>data</strong> – training time series data</li>
<li><strong>kwargs</strong> – Method specific parameters</li>
</ul>
</td>
</tr>
</tbody>
</table>
</dd></dl>
</dd></dl>
</div>
<div class="section" id="module-pyFTS.models.nonstationary.nsfts">
<span id="pyfts-models-nonstationary-nsfts-module"></span><h2>pyFTS.models.nonstationary.nsfts module<a class="headerlink" href="#module-pyFTS.models.nonstationary.nsfts" title="Permalink to this headline"></a></h2>
<dl class="class">
<dt id="pyFTS.models.nonstationary.nsfts.ConventionalNonStationaryFLRG">
New benchmarks.Tests module; Improvements on forecast_ahead_* function; Documentation update
2019-06-06 18:04:20 +04:00
<em class="property">class </em><code class="descclassname">pyFTS.models.nonstationary.nsfts.</code><code class="descname">ConventionalNonStationaryFLRG</code><span class="sig-paren">(</span><em>LHS</em>, <em>**kwargs</em><span class="sig-paren">)</span><a class="headerlink" href="#pyFTS.models.nonstationary.nsfts.ConventionalNonStationaryFLRG" 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.models.nonstationary.flrg.NonStationaryFLRG" title="pyFTS.models.nonstationary.flrg.NonStationaryFLRG"><code class="xref py py-class docutils literal notranslate"><span class="pre">pyFTS.models.nonstationary.flrg.NonStationaryFLRG</span></code></a></p>
<p>First Order NonStationary Fuzzy Logical Relationship Group</p>
<dl class="method">
<dt id="pyFTS.models.nonstationary.nsfts.ConventionalNonStationaryFLRG.append_rhs">
New benchmarks.Tests module; Improvements on forecast_ahead_* function; Documentation update
2019-06-06 18:04:20 +04:00
<code class="descname">append_rhs</code><span class="sig-paren">(</span><em>c</em>, <em>**kwargs</em><span class="sig-paren">)</span><a class="headerlink" href="#pyFTS.models.nonstationary.nsfts.ConventionalNonStationaryFLRG.append_rhs" title="Permalink to this definition"></a></dt>
Sphinx documentation for ReadTheDocs site
2018-08-30 09:05:29 +04:00
<dd></dd></dl>
<dl class="method">
<dt id="pyFTS.models.nonstationary.nsfts.ConventionalNonStationaryFLRG.get_key">
New benchmarks.Tests module; Improvements on forecast_ahead_* function; Documentation update
2019-06-06 18:04:20 +04:00
<code class="descname">get_key</code><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="headerlink" href="#pyFTS.models.nonstationary.nsfts.ConventionalNonStationaryFLRG.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>
</dd></dl>
<dl class="class">
<dt id="pyFTS.models.nonstationary.nsfts.NonStationaryFTS">
New benchmarks.Tests module; Improvements on forecast_ahead_* function; Documentation update
2019-06-06 18:04:20 +04:00
<em class="property">class </em><code class="descclassname">pyFTS.models.nonstationary.nsfts.</code><code class="descname">NonStationaryFTS</code><span class="sig-paren">(</span><em>**kwargs</em><span class="sig-paren">)</span><a class="headerlink" href="#pyFTS.models.nonstationary.nsfts.NonStationaryFTS" 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.fts.FTS" title="pyFTS.common.fts.FTS"><code class="xref py py-class docutils literal notranslate"><span class="pre">pyFTS.common.fts.FTS</span></code></a></p>
<p>NonStationaryFTS Fuzzy Time Series</p>
<dl class="method">
<dt id="pyFTS.models.nonstationary.nsfts.NonStationaryFTS.conditional_perturbation_factors">
New benchmarks.Tests module; Improvements on forecast_ahead_* function; Documentation update
2019-06-06 18:04:20 +04:00
<code class="descname">conditional_perturbation_factors</code><span class="sig-paren">(</span><em>data</em>, <em>**kwargs</em><span class="sig-paren">)</span><a class="headerlink" href="#pyFTS.models.nonstationary.nsfts.NonStationaryFTS.conditional_perturbation_factors" title="Permalink to this definition"></a></dt>
Sphinx documentation for ReadTheDocs site
2018-08-30 09:05:29 +04:00
<dd></dd></dl>
<dl class="method">
<dt id="pyFTS.models.nonstationary.nsfts.NonStationaryFTS.forecast">
New benchmarks.Tests module; Improvements on forecast_ahead_* function; Documentation update
2019-06-06 18:04:20 +04:00
<code class="descname">forecast</code><span class="sig-paren">(</span><em>ndata</em>, <em>**kwargs</em><span class="sig-paren">)</span><a class="headerlink" href="#pyFTS.models.nonstationary.nsfts.NonStationaryFTS.forecast" title="Permalink to this definition"></a></dt>
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<dd><p>Point forecast one step ahead</p>
<table class="docutils field-list" frame="void" rules="none">
<col class="field-name" />
<col class="field-body" />
<tbody valign="top">
<tr class="field-odd field"><th class="field-name">Parameters:</th><td class="field-body"><ul class="first simple">
<li><strong>data</strong> – time series data with the minimal length equal to the max_lag of the model</li>
<li><strong>kwargs</strong> – model specific parameters</li>
</ul>
</td>
</tr>
<tr class="field-even field"><th class="field-name">Returns:</th><td class="field-body"><p class="first last">a list with the forecasted values</p>
</td>
</tr>
</tbody>
</table>
</dd></dl>
<dl class="method">
<dt id="pyFTS.models.nonstationary.nsfts.NonStationaryFTS.forecast_interval">
New benchmarks.Tests module; Improvements on forecast_ahead_* function; Documentation update
2019-06-06 18:04:20 +04:00
<code class="descname">forecast_interval</code><span class="sig-paren">(</span><em>ndata</em>, <em>**kwargs</em><span class="sig-paren">)</span><a class="headerlink" href="#pyFTS.models.nonstationary.nsfts.NonStationaryFTS.forecast_interval" title="Permalink to this definition"></a></dt>
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<dd><p>Interval forecast one step ahead</p>
<table class="docutils field-list" frame="void" rules="none">
<col class="field-name" />
<col class="field-body" />
<tbody valign="top">
<tr class="field-odd field"><th class="field-name">Parameters:</th><td class="field-body"><ul class="first simple">
<li><strong>data</strong> – time series data with the minimal length equal to the max_lag of the model</li>
<li><strong>kwargs</strong> – model specific parameters</li>
</ul>
</td>
</tr>
Documentation update
2018-10-29 23:48:05 +04:00
<tr class="field-even field"><th class="field-name">Returns:</th><td class="field-body"><p class="first last">a list with the prediction intervals</p>
Sphinx documentation for ReadTheDocs site
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</td>
</tr>
</tbody>
</table>
</dd></dl>
<dl class="method">
<dt id="pyFTS.models.nonstationary.nsfts.NonStationaryFTS.generate_flrg">
New benchmarks.Tests module; Improvements on forecast_ahead_* function; Documentation update
2019-06-06 18:04:20 +04:00
<code class="descname">generate_flrg</code><span class="sig-paren">(</span><em>flrs</em>, <em>**kwargs</em><span class="sig-paren">)</span><a class="headerlink" href="#pyFTS.models.nonstationary.nsfts.NonStationaryFTS.generate_flrg" title="Permalink to this definition"></a></dt>
Sphinx documentation for ReadTheDocs site
2018-08-30 09:05:29 +04:00
<dd></dd></dl>
<dl class="method">
<dt id="pyFTS.models.nonstationary.nsfts.NonStationaryFTS.train">
New benchmarks.Tests module; Improvements on forecast_ahead_* function; Documentation update
2019-06-06 18:04:20 +04:00
<code class="descname">train</code><span class="sig-paren">(</span><em>data</em>, <em>**kwargs</em><span class="sig-paren">)</span><a class="headerlink" href="#pyFTS.models.nonstationary.nsfts.NonStationaryFTS.train" title="Permalink to this definition"></a></dt>
Sphinx documentation for ReadTheDocs site
2018-08-30 09:05:29 +04:00
<dd><p>Method specific parameter fitting</p>
<table class="docutils field-list" frame="void" rules="none">
<col class="field-name" />
<col class="field-body" />
<tbody valign="top">
<tr class="field-odd field"><th class="field-name">Parameters:</th><td class="field-body"><ul class="first last simple">
<li><strong>data</strong> – training time series data</li>
<li><strong>kwargs</strong> – Method specific parameters</li>
</ul>
</td>
</tr>
</tbody>
</table>
</dd></dl>
</dd></dl>
Documentation update
2019-12-18 00:39:03 +04:00
<dl class="class">
<dt id="pyFTS.models.nonstationary.nsfts.WeightedNonStationaryFLRG">
<em class="property">class </em><code class="descclassname">pyFTS.models.nonstationary.nsfts.</code><code class="descname">WeightedNonStationaryFLRG</code><span class="sig-paren">(</span><em>LHS</em>, <em>**kwargs</em><span class="sig-paren">)</span><a class="headerlink" href="#pyFTS.models.nonstationary.nsfts.WeightedNonStationaryFLRG" title="Permalink to this definition"></a></dt>
<dd><p>Bases: <a class="reference internal" href="#pyFTS.models.nonstationary.flrg.NonStationaryFLRG" title="pyFTS.models.nonstationary.flrg.NonStationaryFLRG"><code class="xref py py-class docutils literal notranslate"><span class="pre">pyFTS.models.nonstationary.flrg.NonStationaryFLRG</span></code></a></p>
<p>First Order NonStationary Fuzzy Logical Relationship Group</p>
<dl class="method">
<dt id="pyFTS.models.nonstationary.nsfts.WeightedNonStationaryFLRG.append_rhs">
<code class="descname">append_rhs</code><span class="sig-paren">(</span><em>c</em>, <em>**kwargs</em><span class="sig-paren">)</span><a class="headerlink" href="#pyFTS.models.nonstationary.nsfts.WeightedNonStationaryFLRG.append_rhs" title="Permalink to this definition"></a></dt>
<dd></dd></dl>
<dl class="method">
<dt id="pyFTS.models.nonstationary.nsfts.WeightedNonStationaryFLRG.get_key">
<code class="descname">get_key</code><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="headerlink" href="#pyFTS.models.nonstationary.nsfts.WeightedNonStationaryFLRG.get_key" title="Permalink to this definition"></a></dt>
<dd><p>Returns a unique identifier for this FLRG</p>
</dd></dl>
<dl class="method">
<dt id="pyFTS.models.nonstationary.nsfts.WeightedNonStationaryFLRG.get_midpoint">
<code class="descname">get_midpoint</code><span class="sig-paren">(</span><em>sets</em>, <em>perturb</em><span class="sig-paren">)</span><a class="headerlink" href="#pyFTS.models.nonstationary.nsfts.WeightedNonStationaryFLRG.get_midpoint" title="Permalink to this definition"></a></dt>
<dd><p>Returns the midpoint value for the RHS fuzzy sets</p>
<table class="docutils field-list" frame="void" rules="none">
<col class="field-name" />
<col class="field-body" />
<tbody valign="top">
<tr class="field-odd field"><th class="field-name">Parameters:</th><td class="field-body"><strong>sets</strong> – fuzzy sets</td>
</tr>
<tr class="field-even field"><th class="field-name">Returns:</th><td class="field-body">the midpoint value</td>
</tr>
</tbody>
</table>
</dd></dl>
<dl class="method">
<dt id="pyFTS.models.nonstationary.nsfts.WeightedNonStationaryFLRG.weights">
<code class="descname">weights</code><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="headerlink" href="#pyFTS.models.nonstationary.nsfts.WeightedNonStationaryFLRG.weights" title="Permalink to this definition"></a></dt>
<dd></dd></dl>
</dd></dl>
<dl class="class">
<dt id="pyFTS.models.nonstationary.nsfts.WeightedNonStationaryFTS">
<em class="property">class </em><code class="descclassname">pyFTS.models.nonstationary.nsfts.</code><code class="descname">WeightedNonStationaryFTS</code><span class="sig-paren">(</span><em>**kwargs</em><span class="sig-paren">)</span><a class="headerlink" href="#pyFTS.models.nonstationary.nsfts.WeightedNonStationaryFTS" title="Permalink to this definition"></a></dt>
<dd><p>Bases: <a class="reference internal" href="#pyFTS.models.nonstationary.nsfts.NonStationaryFTS" title="pyFTS.models.nonstationary.nsfts.NonStationaryFTS"><code class="xref py py-class docutils literal notranslate"><span class="pre">pyFTS.models.nonstationary.nsfts.NonStationaryFTS</span></code></a></p>
<p>Weighted NonStationaryFTS Fuzzy Time Series</p>
<dl class="method">
<dt id="pyFTS.models.nonstationary.nsfts.WeightedNonStationaryFTS.generate_flrg">
<code class="descname">generate_flrg</code><span class="sig-paren">(</span><em>flrs</em>, <em>**kwargs</em><span class="sig-paren">)</span><a class="headerlink" href="#pyFTS.models.nonstationary.nsfts.WeightedNonStationaryFTS.generate_flrg" title="Permalink to this definition"></a></dt>
<dd></dd></dl>
<dl class="method">
<dt id="pyFTS.models.nonstationary.nsfts.WeightedNonStationaryFTS.train">
<code class="descname">train</code><span class="sig-paren">(</span><em>data</em>, <em>**kwargs</em><span class="sig-paren">)</span><a class="headerlink" href="#pyFTS.models.nonstationary.nsfts.WeightedNonStationaryFTS.train" title="Permalink to this definition"></a></dt>
<dd><p>Method specific parameter fitting</p>
<table class="docutils field-list" frame="void" rules="none">
<col class="field-name" />
<col class="field-body" />
<tbody valign="top">
<tr class="field-odd field"><th class="field-name">Parameters:</th><td class="field-body"><ul class="first last simple">
<li><strong>data</strong> – training time series data</li>
<li><strong>kwargs</strong> – Method specific parameters</li>
</ul>
</td>
</tr>
</tbody>
</table>
</dd></dl>
</dd></dl>
Sphinx documentation for ReadTheDocs site
2018-08-30 09:05:29 +04:00
</div>
<div class="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>
<dl class="class">
<dt id="pyFTS.models.nonstationary.partitioners.PolynomialNonStationaryPartitioner">
New benchmarks.Tests module; Improvements on forecast_ahead_* function; Documentation update
2019-06-06 18:04:20 +04:00
<em class="property">class </em><code class="descclassname">pyFTS.models.nonstationary.partitioners.</code><code class="descname">PolynomialNonStationaryPartitioner</code><span class="sig-paren">(</span><em>data</em>, <em>part</em>, <em>**kwargs</em><span class="sig-paren">)</span><a class="headerlink" href="#pyFTS.models.nonstationary.partitioners.PolynomialNonStationaryPartitioner" 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>
<dl class="method">
<dt id="pyFTS.models.nonstationary.partitioners.PolynomialNonStationaryPartitioner.build">
New benchmarks.Tests module; Improvements on forecast_ahead_* function; Documentation update
2019-06-06 18:04:20 +04:00
<code class="descname">build</code><span class="sig-paren">(</span><em>data</em><span class="sig-paren">)</span><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>
<table class="docutils field-list" frame="void" rules="none">
<col class="field-name" />
<col class="field-body" />
<tbody valign="top">
<tr class="field-odd field"><th class="field-name">Parameters:</th><td class="field-body"><strong>data</strong> – training data</td>
</tr>
<tr class="field-even field"><th class="field-name">Returns:</th><td class="field-body"></td>
</tr>
</tbody>
</table>
</dd></dl>
<dl class="method">
<dt id="pyFTS.models.nonstationary.partitioners.PolynomialNonStationaryPartitioner.get_polynomial_perturbations">
New benchmarks.Tests module; Improvements on forecast_ahead_* function; Documentation update
2019-06-06 18:04:20 +04:00
<code class="descname">get_polynomial_perturbations</code><span class="sig-paren">(</span><em>data</em>, <em>**kwargs</em><span class="sig-paren">)</span><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>
<dl class="method">
<dt id="pyFTS.models.nonstationary.partitioners.PolynomialNonStationaryPartitioner.poly_width">
New benchmarks.Tests module; Improvements on forecast_ahead_* function; Documentation update
2019-06-06 18:04:20 +04:00
<code class="descname">poly_width</code><span class="sig-paren">(</span><em>par1</em>, <em>par2</em>, <em>rng</em>, <em>deg</em><span class="sig-paren">)</span><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>
<dl class="method">
<dt id="pyFTS.models.nonstationary.partitioners.PolynomialNonStationaryPartitioner.scale_down">
New benchmarks.Tests module; Improvements on forecast_ahead_* function; Documentation update
2019-06-06 18:04:20 +04:00
<code class="descname">scale_down</code><span class="sig-paren">(</span><em>x</em>, <em>pct</em><span class="sig-paren">)</span><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>
<dl class="method">
<dt id="pyFTS.models.nonstationary.partitioners.PolynomialNonStationaryPartitioner.scale_up">
New benchmarks.Tests module; Improvements on forecast_ahead_* function; Documentation update
2019-06-06 18:04:20 +04:00
<code class="descname">scale_up</code><span class="sig-paren">(</span><em>x</em>, <em>pct</em><span class="sig-paren">)</span><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>
<dl class="class">
<dt id="pyFTS.models.nonstationary.partitioners.SimpleNonStationaryPartitioner">
New benchmarks.Tests module; Improvements on forecast_ahead_* function; Documentation update
2019-06-06 18:04:20 +04:00
<em class="property">class </em><code class="descclassname">pyFTS.models.nonstationary.partitioners.</code><code class="descname">SimpleNonStationaryPartitioner</code><span class="sig-paren">(</span><em>data</em>, <em>part</em>, <em>**kwargs</em><span class="sig-paren">)</span><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>
<dl class="method">
<dt id="pyFTS.models.nonstationary.partitioners.SimpleNonStationaryPartitioner.build">
New benchmarks.Tests module; Improvements on forecast_ahead_* function; Documentation update
2019-06-06 18:04:20 +04:00
<code class="descname">build</code><span class="sig-paren">(</span><em>data</em><span class="sig-paren">)</span><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>
<table class="docutils field-list" frame="void" rules="none">
<col class="field-name" />
<col class="field-body" />
<tbody valign="top">
<tr class="field-odd field"><th class="field-name">Parameters:</th><td class="field-body"><strong>data</strong> – training data</td>
</tr>
<tr class="field-even field"><th class="field-name">Returns:</th><td class="field-body"></td>
</tr>
</tbody>
</table>
</dd></dl>
</dd></dl>
<dl class="function">
<dt id="pyFTS.models.nonstationary.partitioners.simplenonstationary_gridpartitioner_builder">
New benchmarks.Tests module; Improvements on forecast_ahead_* function; Documentation update
2019-06-06 18:04:20 +04:00
<code class="descclassname">pyFTS.models.nonstationary.partitioners.</code><code class="descname">simplenonstationary_gridpartitioner_builder</code><span class="sig-paren">(</span><em>data</em>, <em>npart</em>, <em>transformation</em><span class="sig-paren">)</span><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>
</div>
<div class="section" id="module-pyFTS.models.nonstationary.perturbation">
<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>
<dl class="function">
<dt id="pyFTS.models.nonstationary.perturbation.exponential">
New benchmarks.Tests module; Improvements on forecast_ahead_* function; Documentation update
2019-06-06 18:04:20 +04:00
<code class="descclassname">pyFTS.models.nonstationary.perturbation.</code><code class="descname">exponential</code><span class="sig-paren">(</span><em>x</em>, <em>parameters</em><span class="sig-paren">)</span><a class="headerlink" href="#pyFTS.models.nonstationary.perturbation.exponential" title="Permalink to this definition"></a></dt>
Sphinx documentation for ReadTheDocs site
2018-08-30 09:05:29 +04:00
<dd></dd></dl>
<dl class="function">
<dt id="pyFTS.models.nonstationary.perturbation.linear">
New benchmarks.Tests module; Improvements on forecast_ahead_* function; Documentation update
2019-06-06 18:04:20 +04:00
<code class="descclassname">pyFTS.models.nonstationary.perturbation.</code><code class="descname">linear</code><span class="sig-paren">(</span><em>x</em>, <em>parameters</em><span class="sig-paren">)</span><a class="headerlink" href="#pyFTS.models.nonstationary.perturbation.linear" title="Permalink to this definition"></a></dt>
Sphinx documentation for ReadTheDocs site
2018-08-30 09:05:29 +04:00
<dd></dd></dl>
<dl class="function">
<dt id="pyFTS.models.nonstationary.perturbation.periodic">
New benchmarks.Tests module; Improvements on forecast_ahead_* function; Documentation update
2019-06-06 18:04:20 +04:00
<code class="descclassname">pyFTS.models.nonstationary.perturbation.</code><code class="descname">periodic</code><span class="sig-paren">(</span><em>x</em>, <em>parameters</em><span class="sig-paren">)</span><a class="headerlink" href="#pyFTS.models.nonstationary.perturbation.periodic" title="Permalink to this definition"></a></dt>
Sphinx documentation for ReadTheDocs site
2018-08-30 09:05:29 +04:00
<dd></dd></dl>
<dl class="function">
<dt id="pyFTS.models.nonstationary.perturbation.polynomial">
New benchmarks.Tests module; Improvements on forecast_ahead_* function; Documentation update
2019-06-06 18:04:20 +04:00
<code class="descclassname">pyFTS.models.nonstationary.perturbation.</code><code class="descname">polynomial</code><span class="sig-paren">(</span><em>x</em>, <em>parameters</em><span class="sig-paren">)</span><a class="headerlink" href="#pyFTS.models.nonstationary.perturbation.polynomial" title="Permalink to this definition"></a></dt>
Sphinx documentation for ReadTheDocs site
2018-08-30 09:05:29 +04:00
<dd></dd></dl>
</div>
<div class="section" id="module-pyFTS.models.nonstationary.util">
<span id="pyfts-models-nonstationary-util-module"></span><h2>pyFTS.models.nonstationary.util module<a class="headerlink" href="#module-pyFTS.models.nonstationary.util" title="Permalink to this headline"></a></h2>
<dl class="function">
<dt id="pyFTS.models.nonstationary.util.plot_sets">
New benchmarks.Tests module; Improvements on forecast_ahead_* function; Documentation update
2019-06-06 18:04:20 +04:00
<code class="descclassname">pyFTS.models.nonstationary.util.</code><code class="descname">plot_sets</code><span class="sig-paren">(</span><em>partitioner, start=0, end=10, step=1, tam=[5, 5], colors=None, save=False, file=None, axes=None, data=None, window_size=1, only_lines=False</em><span class="sig-paren">)</span><a class="headerlink" href="#pyFTS.models.nonstationary.util.plot_sets" title="Permalink to this definition"></a></dt>
Sphinx documentation for ReadTheDocs site
2018-08-30 09:05:29 +04:00
<dd></dd></dl>
<dl class="function">
<dt id="pyFTS.models.nonstationary.util.plot_sets_conditional">
New benchmarks.Tests module; Improvements on forecast_ahead_* function; Documentation update
2019-06-06 18:04:20 +04:00
<code class="descclassname">pyFTS.models.nonstationary.util.</code><code class="descname">plot_sets_conditional</code><span class="sig-paren">(</span><em>model, data, step=1, size=[5, 5], colors=None, save=False, file=None, axes=None, fig=None</em><span class="sig-paren">)</span><a class="headerlink" href="#pyFTS.models.nonstationary.util.plot_sets_conditional" title="Permalink to this definition"></a></dt>
Sphinx documentation for ReadTheDocs site
2018-08-30 09:05:29 +04:00
<dd></dd></dl>
</div>
<div class="section" id="module-pyFTS.models.nonstationary">
<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>
</div>
</div>
</div>
</div>
</div>
<div class="clearer"></div>
</div>
Updating the documentation
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