pyFTS/docs/build/html/pyFTS.models.nonstationary.html
2020-08-18 17:06:41 -03:00

829 lines
75 KiB
HTML
Raw Blame History

This file contains ambiguous Unicode characters

This file contains Unicode characters that might be confused with other characters. If you think that this is intentional, you can safely ignore this warning. Use the Escape button to reveal them.

<!doctype html>
<html>
<head>
<meta charset="utf-8" />
<meta name="viewport" content="width=device-width, initial-scale=1.0"><script type="text/javascript">
var _gaq = _gaq || [];
_gaq.push(['_setAccount', 'UA-55120145-3']);
_gaq.push(['_trackPageview']);
(function() {
var ga = document.createElement('script'); ga.type = 'text/javascript'; ga.async = true;
ga.src = ('https:' == document.location.protocol ? 'https://ssl' : 'http://www') + '.google-analytics.com/ga.js';
var s = document.getElementsByTagName('script')[0]; s.parentNode.insertBefore(ga, s);
})();
</script>
<title>pyFTS.models.nonstationary package &#8212; pyFTS 1.6 documentation</title>
<link rel="stylesheet" href="_static/bizstyle.css" type="text/css" />
<link rel="stylesheet" href="_static/pygments.css" type="text/css" />
<script id="documentation_options" data-url_root="./" src="_static/documentation_options.js"></script>
<script src="_static/jquery.js"></script>
<script src="_static/underscore.js"></script>
<script src="_static/doctools.js"></script>
<script src="_static/language_data.js"></script>
<script src="_static/bizstyle.js"></script>
<link rel="index" title="Index" href="genindex.html" />
<link rel="search" title="Search" href="search.html" />
<link rel="next" title="pyFTS.models.seasonal package" href="pyFTS.models.seasonal.html" />
<link rel="prev" title="pyFTS.models.multivariate package" href="pyFTS.models.multivariate.html" />
<meta name="viewport" content="width=device-width,initial-scale=1.0">
<!--[if lt IE 9]>
<script src="_static/css3-mediaqueries.js"></script>
<![endif]-->
</head><body>
<div class="related" role="navigation" aria-label="related navigation">
<h3>Navigation</h3>
<ul>
<li class="right" style="margin-right: 10px">
<a href="genindex.html" title="General Index"
accesskey="I">index</a></li>
<li class="right" >
<a href="py-modindex.html" title="Python Module Index"
>modules</a> |</li>
<li class="right" >
<a href="pyFTS.models.seasonal.html" title="pyFTS.models.seasonal package"
accesskey="N">next</a> |</li>
<li class="right" >
<a href="pyFTS.models.multivariate.html" title="pyFTS.models.multivariate package"
accesskey="P">previous</a> |</li>
<li class="nav-item nav-item-0"><a href="index.html">pyFTS 1.6 documentation</a> &#187;</li>
<li class="nav-item nav-item-1"><a href="modules.html" >pyFTS</a> &#187;</li>
<li class="nav-item nav-item-2"><a href="pyFTS.html" >pyFTS package</a> &#187;</li>
<li class="nav-item nav-item-3"><a href="pyFTS.models.html" accesskey="U">pyFTS.models package</a> &#187;</li>
<li class="nav-item nav-item-this"><a href="">pyFTS.models.nonstationary package</a></li>
</ul>
</div>
<div class="document">
<div class="documentwrapper">
<div class="bodywrapper">
<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="py class">
<dt id="pyFTS.models.nonstationary.common.FuzzySet">
<em class="property">class </em><code class="sig-prename descclassname">pyFTS.models.nonstationary.common.</code><code class="sig-name descname">FuzzySet</code><span class="sig-paren">(</span><em class="sig-param"><span class="n">name</span></em>, <em class="sig-param"><span class="n">mf</span></em>, <em class="sig-param"><span class="n">parameters</span></em>, <em class="sig-param"><span class="o">**</span><span class="n">kwargs</span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/pyFTS/models/nonstationary/common.html#FuzzySet"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#pyFTS.models.nonstationary.common.FuzzySet" title="Permalink to this definition"></a></dt>
<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="py method">
<dt id="pyFTS.models.nonstationary.common.FuzzySet.get_lower">
<code class="sig-name descname">get_lower</code><span class="sig-paren">(</span><em class="sig-param"><span class="n">t</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">[source]</span></a><a class="headerlink" href="#pyFTS.models.nonstationary.common.FuzzySet.get_lower" title="Permalink to this definition"></a></dt>
<dd></dd></dl>
<dl class="py method">
<dt id="pyFTS.models.nonstationary.common.FuzzySet.get_midpoint">
<code class="sig-name descname">get_midpoint</code><span class="sig-paren">(</span><em class="sig-param"><span class="n">t</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">[source]</span></a><a class="headerlink" href="#pyFTS.models.nonstationary.common.FuzzySet.get_midpoint" title="Permalink to this definition"></a></dt>
<dd></dd></dl>
<dl class="py method">
<dt id="pyFTS.models.nonstationary.common.FuzzySet.get_upper">
<code class="sig-name descname">get_upper</code><span class="sig-paren">(</span><em class="sig-param"><span class="n">t</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">[source]</span></a><a class="headerlink" href="#pyFTS.models.nonstationary.common.FuzzySet.get_upper" title="Permalink to this definition"></a></dt>
<dd></dd></dl>
<dl class="py attribute">
<dt id="pyFTS.models.nonstationary.common.FuzzySet.location">
<code class="sig-name descname">location</code><a class="headerlink" href="#pyFTS.models.nonstationary.common.FuzzySet.location" title="Permalink to this definition"></a></dt>
<dd><p>Pertubation function that affects the location of the membership function</p>
</dd></dl>
<dl class="py attribute">
<dt id="pyFTS.models.nonstationary.common.FuzzySet.location_params">
<code class="sig-name descname">location_params</code><a class="headerlink" href="#pyFTS.models.nonstationary.common.FuzzySet.location_params" title="Permalink to this definition"></a></dt>
<dd><p>Parameters for location pertubation function</p>
</dd></dl>
<dl class="py method">
<dt id="pyFTS.models.nonstationary.common.FuzzySet.membership">
<code class="sig-name descname">membership</code><span class="sig-paren">(</span><em class="sig-param"><span class="n">x</span></em>, <em class="sig-param"><span class="n">t</span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/pyFTS/models/nonstationary/common.html#FuzzySet.membership"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#pyFTS.models.nonstationary.common.FuzzySet.membership" title="Permalink to this definition"></a></dt>
<dd><p>Calculate the membership value of a given input</p>
<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>
</ul>
</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>
<dl class="py attribute">
<dt id="pyFTS.models.nonstationary.common.FuzzySet.noise">
<code class="sig-name descname">noise</code><a class="headerlink" href="#pyFTS.models.nonstationary.common.FuzzySet.noise" title="Permalink to this definition"></a></dt>
<dd><p>Pertubation function that adds noise on the membership function</p>
</dd></dl>
<dl class="py attribute">
<dt id="pyFTS.models.nonstationary.common.FuzzySet.noise_params">
<code class="sig-name descname">noise_params</code><a class="headerlink" href="#pyFTS.models.nonstationary.common.FuzzySet.noise_params" title="Permalink to this definition"></a></dt>
<dd><p>Parameters for noise pertubation function</p>
</dd></dl>
<dl class="py method">
<dt id="pyFTS.models.nonstationary.common.FuzzySet.perform_location">
<code class="sig-name descname">perform_location</code><span class="sig-paren">(</span><em class="sig-param"><span class="n">t</span></em>, <em class="sig-param"><span class="n">param</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">[source]</span></a><a class="headerlink" href="#pyFTS.models.nonstationary.common.FuzzySet.perform_location" title="Permalink to this definition"></a></dt>
<dd></dd></dl>
<dl class="py method">
<dt id="pyFTS.models.nonstationary.common.FuzzySet.perform_width">
<code class="sig-name descname">perform_width</code><span class="sig-paren">(</span><em class="sig-param"><span class="n">t</span></em>, <em class="sig-param"><span class="n">param</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">[source]</span></a><a class="headerlink" href="#pyFTS.models.nonstationary.common.FuzzySet.perform_width" title="Permalink to this definition"></a></dt>
<dd></dd></dl>
<dl class="py method">
<dt id="pyFTS.models.nonstationary.common.FuzzySet.perturbate_parameters">
<code class="sig-name descname">perturbate_parameters</code><span class="sig-paren">(</span><em class="sig-param"><span class="n">t</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">[source]</span></a><a class="headerlink" href="#pyFTS.models.nonstationary.common.FuzzySet.perturbate_parameters" title="Permalink to this definition"></a></dt>
<dd></dd></dl>
<dl class="py attribute">
<dt id="pyFTS.models.nonstationary.common.FuzzySet.width">
<code class="sig-name descname">width</code><a class="headerlink" href="#pyFTS.models.nonstationary.common.FuzzySet.width" title="Permalink to this definition"></a></dt>
<dd><p>Pertubation function that affects the width of the membership function</p>
</dd></dl>
<dl class="py attribute">
<dt id="pyFTS.models.nonstationary.common.FuzzySet.width_params">
<code class="sig-name descname">width_params</code><a class="headerlink" href="#pyFTS.models.nonstationary.common.FuzzySet.width_params" title="Permalink to this definition"></a></dt>
<dd><p>Parameters for width pertubation function</p>
</dd></dl>
</dd></dl>
<dl class="py function">
<dt id="pyFTS.models.nonstationary.common.check_bounds">
<code class="sig-prename descclassname">pyFTS.models.nonstationary.common.</code><code class="sig-name descname">check_bounds</code><span class="sig-paren">(</span><em class="sig-param"><span class="n">data</span></em>, <em class="sig-param"><span class="n">partitioner</span></em>, <em class="sig-param"><span class="n">t</span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/pyFTS/models/nonstationary/common.html#check_bounds"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#pyFTS.models.nonstationary.common.check_bounds" title="Permalink to this definition"></a></dt>
<dd></dd></dl>
<dl class="py function">
<dt id="pyFTS.models.nonstationary.common.check_bounds_index">
<code class="sig-prename descclassname">pyFTS.models.nonstationary.common.</code><code class="sig-name descname">check_bounds_index</code><span class="sig-paren">(</span><em class="sig-param"><span class="n">data</span></em>, <em class="sig-param"><span class="n">partitioner</span></em>, <em class="sig-param"><span class="n">t</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">[source]</span></a><a class="headerlink" href="#pyFTS.models.nonstationary.common.check_bounds_index" title="Permalink to this definition"></a></dt>
<dd></dd></dl>
<dl class="py function">
<dt id="pyFTS.models.nonstationary.common.fuzzify">
<code class="sig-prename descclassname">pyFTS.models.nonstationary.common.</code><code class="sig-name descname">fuzzify</code><span class="sig-paren">(</span><em class="sig-param"><span class="n">inst</span></em>, <em class="sig-param"><span class="n">t</span></em>, <em class="sig-param"><span class="n">fuzzySets</span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/pyFTS/models/nonstationary/common.html#fuzzify"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#pyFTS.models.nonstationary.common.fuzzify" title="Permalink to this definition"></a></dt>
<dd><p>Calculate the membership values for a data point given nonstationary fuzzy sets</p>
<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>
</ul>
</dd>
<dt class="field-even">Returns</dt>
<dd class="field-even"><p>array of membership values</p>
</dd>
</dl>
</dd></dl>
<dl class="py function">
<dt id="pyFTS.models.nonstationary.common.fuzzySeries">
<code class="sig-prename descclassname">pyFTS.models.nonstationary.common.</code><code class="sig-name descname">fuzzySeries</code><span class="sig-paren">(</span><em class="sig-param"><span class="n">data</span></em>, <em class="sig-param"><span class="n">fuzzySets</span></em>, <em class="sig-param"><span class="n">ordered_sets</span></em>, <em class="sig-param"><span class="n">window_size</span><span class="o">=</span><span class="default_value">1</span></em>, <em class="sig-param"><span class="n">method</span><span class="o">=</span><span class="default_value">'fuzzy'</span></em>, <em class="sig-param"><span class="n">const_t</span><span class="o">=</span><span class="default_value">None</span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/pyFTS/models/nonstationary/common.html#fuzzySeries"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#pyFTS.models.nonstationary.common.fuzzySeries" title="Permalink to this definition"></a></dt>
<dd></dd></dl>
<dl class="py function">
<dt id="pyFTS.models.nonstationary.common.window_index">
<code class="sig-prename descclassname">pyFTS.models.nonstationary.common.</code><code class="sig-name descname">window_index</code><span class="sig-paren">(</span><em class="sig-param"><span class="n">t</span></em>, <em class="sig-param"><span class="n">window_size</span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/pyFTS/models/nonstationary/common.html#window_index"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#pyFTS.models.nonstationary.common.window_index" title="Permalink to this definition"></a></dt>
<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="py class">
<dt id="pyFTS.models.nonstationary.cvfts.ConditionalVarianceFTS">
<em class="property">class </em><code class="sig-prename descclassname">pyFTS.models.nonstationary.cvfts.</code><code class="sig-name descname">ConditionalVarianceFTS</code><span class="sig-paren">(</span><em class="sig-param"><span class="o">**</span><span class="n">kwargs</span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/pyFTS/models/nonstationary/cvfts.html#ConditionalVarianceFTS"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#pyFTS.models.nonstationary.cvfts.ConditionalVarianceFTS" title="Permalink to this definition"></a></dt>
<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="py method">
<dt id="pyFTS.models.nonstationary.cvfts.ConditionalVarianceFTS.forecast">
<code class="sig-name descname">forecast</code><span class="sig-paren">(</span><em class="sig-param"><span class="n">ndata</span></em>, <em class="sig-param"><span class="o">**</span><span class="n">kwargs</span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/pyFTS/models/nonstationary/cvfts.html#ConditionalVarianceFTS.forecast"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#pyFTS.models.nonstationary.cvfts.ConditionalVarianceFTS.forecast" title="Permalink to this definition"></a></dt>
<dd><p>Point forecast one step ahead</p>
<dl class="field-list simple">
<dt class="field-odd">Parameters</dt>
<dd class="field-odd"><ul class="simple">
<li><p><strong>data</strong> time series data with the minimal length equal to the max_lag of the model</p></li>
<li><p><strong>kwargs</strong> model specific parameters</p></li>
</ul>
</dd>
<dt class="field-even">Returns</dt>
<dd class="field-even"><p>a list with the forecasted values</p>
</dd>
</dl>
</dd></dl>
<dl class="py method">
<dt id="pyFTS.models.nonstationary.cvfts.ConditionalVarianceFTS.forecast_interval">
<code class="sig-name descname">forecast_interval</code><span class="sig-paren">(</span><em class="sig-param"><span class="n">ndata</span></em>, <em class="sig-param"><span class="o">**</span><span class="n">kwargs</span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/pyFTS/models/nonstationary/cvfts.html#ConditionalVarianceFTS.forecast_interval"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#pyFTS.models.nonstationary.cvfts.ConditionalVarianceFTS.forecast_interval" title="Permalink to this definition"></a></dt>
<dd><p>Interval forecast one step ahead</p>
<dl class="field-list simple">
<dt class="field-odd">Parameters</dt>
<dd class="field-odd"><ul class="simple">
<li><p><strong>data</strong> time series data with the minimal length equal to the max_lag of the model</p></li>
<li><p><strong>kwargs</strong> model specific parameters</p></li>
</ul>
</dd>
<dt class="field-even">Returns</dt>
<dd class="field-even"><p>a list with the prediction intervals</p>
</dd>
</dl>
</dd></dl>
<dl class="py method">
<dt id="pyFTS.models.nonstationary.cvfts.ConditionalVarianceFTS.generate_flrg">
<code class="sig-name descname">generate_flrg</code><span class="sig-paren">(</span><em class="sig-param"><span class="n">flrs</span></em>, <em class="sig-param"><span class="o">**</span><span class="n">kwargs</span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/pyFTS/models/nonstationary/cvfts.html#ConditionalVarianceFTS.generate_flrg"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#pyFTS.models.nonstationary.cvfts.ConditionalVarianceFTS.generate_flrg" title="Permalink to this definition"></a></dt>
<dd></dd></dl>
<dl class="py method">
<dt id="pyFTS.models.nonstationary.cvfts.ConditionalVarianceFTS.perturbation_factors">
<code class="sig-name descname">perturbation_factors</code><span class="sig-paren">(</span><em class="sig-param"><span class="n">data</span></em>, <em class="sig-param"><span class="o">**</span><span class="n">kwargs</span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/pyFTS/models/nonstationary/cvfts.html#ConditionalVarianceFTS.perturbation_factors"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#pyFTS.models.nonstationary.cvfts.ConditionalVarianceFTS.perturbation_factors" title="Permalink to this definition"></a></dt>
<dd></dd></dl>
<dl class="py method">
<dt id="pyFTS.models.nonstationary.cvfts.ConditionalVarianceFTS.perturbation_factors__old">
<code class="sig-name descname">perturbation_factors__old</code><span class="sig-paren">(</span><em class="sig-param"><span class="n">data</span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/pyFTS/models/nonstationary/cvfts.html#ConditionalVarianceFTS.perturbation_factors__old"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#pyFTS.models.nonstationary.cvfts.ConditionalVarianceFTS.perturbation_factors__old" title="Permalink to this definition"></a></dt>
<dd></dd></dl>
<dl class="py method">
<dt id="pyFTS.models.nonstationary.cvfts.ConditionalVarianceFTS.train">
<code class="sig-name descname">train</code><span class="sig-paren">(</span><em class="sig-param"><span class="n">ndata</span></em>, <em class="sig-param"><span class="o">**</span><span class="n">kwargs</span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/pyFTS/models/nonstationary/cvfts.html#ConditionalVarianceFTS.train"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#pyFTS.models.nonstationary.cvfts.ConditionalVarianceFTS.train" title="Permalink to this definition"></a></dt>
<dd><p>Method specific parameter fitting</p>
<dl class="field-list simple">
<dt class="field-odd">Parameters</dt>
<dd class="field-odd"><ul class="simple">
<li><p><strong>data</strong> training time series data</p></li>
<li><p><strong>kwargs</strong> Method specific parameters</p></li>
</ul>
</dd>
</dl>
</dd></dl>
</dd></dl>
<dl class="py class">
<dt id="pyFTS.models.nonstationary.cvfts.HighOrderNonstationaryFLRG">
<em class="property">class </em><code class="sig-prename descclassname">pyFTS.models.nonstationary.cvfts.</code><code class="sig-name descname">HighOrderNonstationaryFLRG</code><span class="sig-paren">(</span><em class="sig-param"><span class="n">order</span></em>, <em class="sig-param"><span class="o">**</span><span class="n">kwargs</span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/pyFTS/models/nonstationary/cvfts.html#HighOrderNonstationaryFLRG"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#pyFTS.models.nonstationary.cvfts.HighOrderNonstationaryFLRG" title="Permalink to this definition"></a></dt>
<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="py method">
<dt id="pyFTS.models.nonstationary.cvfts.HighOrderNonstationaryFLRG.append_lhs">
<code class="sig-name descname">append_lhs</code><span class="sig-paren">(</span><em class="sig-param"><span class="n">c</span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/pyFTS/models/nonstationary/cvfts.html#HighOrderNonstationaryFLRG.append_lhs"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#pyFTS.models.nonstationary.cvfts.HighOrderNonstationaryFLRG.append_lhs" title="Permalink to this definition"></a></dt>
<dd></dd></dl>
<dl class="py method">
<dt id="pyFTS.models.nonstationary.cvfts.HighOrderNonstationaryFLRG.append_rhs">
<code class="sig-name descname">append_rhs</code><span class="sig-paren">(</span><em class="sig-param"><span class="n">c</span></em>, <em class="sig-param"><span class="o">**</span><span class="n">kwargs</span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/pyFTS/models/nonstationary/cvfts.html#HighOrderNonstationaryFLRG.append_rhs"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#pyFTS.models.nonstationary.cvfts.HighOrderNonstationaryFLRG.append_rhs" title="Permalink to this definition"></a></dt>
<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="py class">
<dt id="pyFTS.models.nonstationary.flrg.NonStationaryFLRG">
<em class="property">class </em><code class="sig-prename descclassname">pyFTS.models.nonstationary.flrg.</code><code class="sig-name descname">NonStationaryFLRG</code><span class="sig-paren">(</span><em class="sig-param"><span class="n">LHS</span></em>, <em class="sig-param"><span class="o">**</span><span class="n">kwargs</span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/pyFTS/models/nonstationary/flrg.html#NonStationaryFLRG"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#pyFTS.models.nonstationary.flrg.NonStationaryFLRG" title="Permalink to this definition"></a></dt>
<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="py method">
<dt id="pyFTS.models.nonstationary.flrg.NonStationaryFLRG.get_key">
<code class="sig-name descname">get_key</code><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">[source]</span></a><a class="headerlink" href="#pyFTS.models.nonstationary.flrg.NonStationaryFLRG.get_key" title="Permalink to this definition"></a></dt>
<dd><p>Returns a unique identifier for this FLRG</p>
</dd></dl>
<dl class="py method">
<dt id="pyFTS.models.nonstationary.flrg.NonStationaryFLRG.get_lower">
<code class="sig-name descname">get_lower</code><span class="sig-paren">(</span><em class="sig-param"><span class="o">*</span><span class="n">args</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">[source]</span></a><a class="headerlink" href="#pyFTS.models.nonstationary.flrg.NonStationaryFLRG.get_lower" title="Permalink to this definition"></a></dt>
<dd><p>Returns the lower bound value for the RHS fuzzy sets</p>
<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">
<dt id="pyFTS.models.nonstationary.flrg.NonStationaryFLRG.get_membership">
<code class="sig-name descname">get_membership</code><span class="sig-paren">(</span><em class="sig-param"><span class="n">data</span></em>, <em class="sig-param"><span class="o">*</span><span class="n">args</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">[source]</span></a><a class="headerlink" href="#pyFTS.models.nonstationary.flrg.NonStationaryFLRG.get_membership" title="Permalink to this definition"></a></dt>
<dd><p>Returns the membership value of the FLRG for the input data</p>
<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>
</ul>
</dd>
<dt class="field-even">Returns</dt>
<dd class="field-even"><p>the membership value</p>
</dd>
</dl>
</dd></dl>
<dl class="py method">
<dt id="pyFTS.models.nonstationary.flrg.NonStationaryFLRG.get_midpoint">
<code class="sig-name descname">get_midpoint</code><span class="sig-paren">(</span><em class="sig-param"><span class="o">*</span><span class="n">args</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">[source]</span></a><a class="headerlink" href="#pyFTS.models.nonstationary.flrg.NonStationaryFLRG.get_midpoint" title="Permalink to this definition"></a></dt>
<dd><p>Returns the midpoint value for the RHS fuzzy sets</p>
<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">
<dt id="pyFTS.models.nonstationary.flrg.NonStationaryFLRG.get_upper">
<code class="sig-name descname">get_upper</code><span class="sig-paren">(</span><em class="sig-param"><span class="o">*</span><span class="n">args</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">[source]</span></a><a class="headerlink" href="#pyFTS.models.nonstationary.flrg.NonStationaryFLRG.get_upper" title="Permalink to this definition"></a></dt>
<dd><p>Returns the upper bound value for the RHS fuzzy sets</p>
<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">
<dt id="pyFTS.models.nonstationary.flrg.NonStationaryFLRG.unpack_args">
<code class="sig-name descname">unpack_args</code><span class="sig-paren">(</span><em class="sig-param"><span class="o">*</span><span class="n">args</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">[source]</span></a><a class="headerlink" href="#pyFTS.models.nonstationary.flrg.NonStationaryFLRG.unpack_args" title="Permalink to this definition"></a></dt>
<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="py class">
<dt id="pyFTS.models.nonstationary.honsfts.HighOrderNonStationaryFLRG">
<em class="property">class </em><code class="sig-prename descclassname">pyFTS.models.nonstationary.honsfts.</code><code class="sig-name descname">HighOrderNonStationaryFLRG</code><span class="sig-paren">(</span><em class="sig-param"><span class="n">order</span></em>, <em class="sig-param"><span class="o">**</span><span class="n">kwargs</span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/pyFTS/models/nonstationary/honsfts.html#HighOrderNonStationaryFLRG"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#pyFTS.models.nonstationary.honsfts.HighOrderNonStationaryFLRG" 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="py method">
<dt id="pyFTS.models.nonstationary.honsfts.HighOrderNonStationaryFLRG.append_lhs">
<code class="sig-name descname">append_lhs</code><span class="sig-paren">(</span><em class="sig-param"><span class="n">c</span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/pyFTS/models/nonstationary/honsfts.html#HighOrderNonStationaryFLRG.append_lhs"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#pyFTS.models.nonstationary.honsfts.HighOrderNonStationaryFLRG.append_lhs" title="Permalink to this definition"></a></dt>
<dd></dd></dl>
<dl class="py method">
<dt id="pyFTS.models.nonstationary.honsfts.HighOrderNonStationaryFLRG.append_rhs">
<code class="sig-name descname">append_rhs</code><span class="sig-paren">(</span><em class="sig-param"><span class="n">fset</span></em>, <em class="sig-param"><span class="o">**</span><span class="n">kwargs</span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/pyFTS/models/nonstationary/honsfts.html#HighOrderNonStationaryFLRG.append_rhs"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#pyFTS.models.nonstationary.honsfts.HighOrderNonStationaryFLRG.append_rhs" title="Permalink to this definition"></a></dt>
<dd></dd></dl>
<dl class="py method">
<dt id="pyFTS.models.nonstationary.honsfts.HighOrderNonStationaryFLRG.get_lower">
<code class="sig-name descname">get_lower</code><span class="sig-paren">(</span><em class="sig-param"><span class="n">sets</span></em>, <em class="sig-param"><span class="n">perturb</span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/pyFTS/models/nonstationary/honsfts.html#HighOrderNonStationaryFLRG.get_lower"><span class="viewcode-link">[source]</span></a><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>
<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">
<dt id="pyFTS.models.nonstationary.honsfts.HighOrderNonStationaryFLRG.get_midpoint">
<code class="sig-name descname">get_midpoint</code><span class="sig-paren">(</span><em class="sig-param"><span class="n">sets</span></em>, <em class="sig-param"><span class="n">perturb</span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/pyFTS/models/nonstationary/honsfts.html#HighOrderNonStationaryFLRG.get_midpoint"><span class="viewcode-link">[source]</span></a><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>
<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">
<dt id="pyFTS.models.nonstationary.honsfts.HighOrderNonStationaryFLRG.get_upper">
<code class="sig-name descname">get_upper</code><span class="sig-paren">(</span><em class="sig-param"><span class="n">sets</span></em>, <em class="sig-param"><span class="n">perturb</span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/pyFTS/models/nonstationary/honsfts.html#HighOrderNonStationaryFLRG.get_upper"><span class="viewcode-link">[source]</span></a><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>
<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">
<dt id="pyFTS.models.nonstationary.honsfts.HighOrderNonStationaryFLRG.weights">
<code class="sig-name descname">weights</code><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="reference internal" href="_modules/pyFTS/models/nonstationary/honsfts.html#HighOrderNonStationaryFLRG.weights"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#pyFTS.models.nonstationary.honsfts.HighOrderNonStationaryFLRG.weights" title="Permalink to this definition"></a></dt>
<dd></dd></dl>
</dd></dl>
<dl class="py class">
<dt id="pyFTS.models.nonstationary.honsfts.HighOrderNonStationaryFTS">
<em class="property">class </em><code class="sig-prename descclassname">pyFTS.models.nonstationary.honsfts.</code><code class="sig-name descname">HighOrderNonStationaryFTS</code><span class="sig-paren">(</span><em class="sig-param"><span class="o">**</span><span class="n">kwargs</span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/pyFTS/models/nonstationary/honsfts.html#HighOrderNonStationaryFTS"><span class="viewcode-link">[source]</span></a><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="py method">
<dt id="pyFTS.models.nonstationary.honsfts.HighOrderNonStationaryFTS.configure_lags">
<code class="sig-name descname">configure_lags</code><span class="sig-paren">(</span><em class="sig-param"><span class="o">**</span><span class="n">kwargs</span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/pyFTS/models/nonstationary/honsfts.html#HighOrderNonStationaryFTS.configure_lags"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#pyFTS.models.nonstationary.honsfts.HighOrderNonStationaryFTS.configure_lags" title="Permalink to this definition"></a></dt>
<dd></dd></dl>
<dl class="py method">
<dt id="pyFTS.models.nonstationary.honsfts.HighOrderNonStationaryFTS.forecast">
<code class="sig-name descname">forecast</code><span class="sig-paren">(</span><em class="sig-param"><span class="n">ndata</span></em>, <em class="sig-param"><span class="o">**</span><span class="n">kwargs</span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/pyFTS/models/nonstationary/honsfts.html#HighOrderNonStationaryFTS.forecast"><span class="viewcode-link">[source]</span></a><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>
<dl class="field-list simple">
<dt class="field-odd">Parameters</dt>
<dd class="field-odd"><ul class="simple">
<li><p><strong>data</strong> time series data with the minimal length equal to the max_lag of the model</p></li>
<li><p><strong>kwargs</strong> model specific parameters</p></li>
</ul>
</dd>
<dt class="field-even">Returns</dt>
<dd class="field-even"><p>a list with the forecasted values</p>
</dd>
</dl>
</dd></dl>
<dl class="py method">
<dt id="pyFTS.models.nonstationary.honsfts.HighOrderNonStationaryFTS.generate_flrg">
<code class="sig-name descname">generate_flrg</code><span class="sig-paren">(</span><em class="sig-param"><span class="n">data</span></em>, <em class="sig-param"><span class="o">**</span><span class="n">kwargs</span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/pyFTS/models/nonstationary/honsfts.html#HighOrderNonStationaryFTS.generate_flrg"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#pyFTS.models.nonstationary.honsfts.HighOrderNonStationaryFTS.generate_flrg" title="Permalink to this definition"></a></dt>
<dd></dd></dl>
<dl class="py method">
<dt id="pyFTS.models.nonstationary.honsfts.HighOrderNonStationaryFTS.train">
<code class="sig-name descname">train</code><span class="sig-paren">(</span><em class="sig-param"><span class="n">data</span></em>, <em class="sig-param"><span class="o">**</span><span class="n">kwargs</span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/pyFTS/models/nonstationary/honsfts.html#HighOrderNonStationaryFTS.train"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#pyFTS.models.nonstationary.honsfts.HighOrderNonStationaryFTS.train" title="Permalink to this definition"></a></dt>
<dd><p>Method specific parameter fitting</p>
<dl class="field-list simple">
<dt class="field-odd">Parameters</dt>
<dd class="field-odd"><ul class="simple">
<li><p><strong>data</strong> training time series data</p></li>
<li><p><strong>kwargs</strong> Method specific parameters</p></li>
</ul>
</dd>
</dl>
</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="py class">
<dt id="pyFTS.models.nonstationary.nsfts.ConventionalNonStationaryFLRG">
<em class="property">class </em><code class="sig-prename descclassname">pyFTS.models.nonstationary.nsfts.</code><code class="sig-name descname">ConventionalNonStationaryFLRG</code><span class="sig-paren">(</span><em class="sig-param"><span class="n">LHS</span></em>, <em class="sig-param"><span class="o">**</span><span class="n">kwargs</span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/pyFTS/models/nonstationary/nsfts.html#ConventionalNonStationaryFLRG"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#pyFTS.models.nonstationary.nsfts.ConventionalNonStationaryFLRG" 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="py method">
<dt id="pyFTS.models.nonstationary.nsfts.ConventionalNonStationaryFLRG.append_rhs">
<code class="sig-name descname">append_rhs</code><span class="sig-paren">(</span><em class="sig-param"><span class="n">c</span></em>, <em class="sig-param"><span class="o">**</span><span class="n">kwargs</span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/pyFTS/models/nonstationary/nsfts.html#ConventionalNonStationaryFLRG.append_rhs"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#pyFTS.models.nonstationary.nsfts.ConventionalNonStationaryFLRG.append_rhs" title="Permalink to this definition"></a></dt>
<dd></dd></dl>
<dl class="py method">
<dt id="pyFTS.models.nonstationary.nsfts.ConventionalNonStationaryFLRG.get_key">
<code class="sig-name descname">get_key</code><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="reference internal" href="_modules/pyFTS/models/nonstationary/nsfts.html#ConventionalNonStationaryFLRG.get_key"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#pyFTS.models.nonstationary.nsfts.ConventionalNonStationaryFLRG.get_key" title="Permalink to this definition"></a></dt>
<dd><p>Returns a unique identifier for this FLRG</p>
</dd></dl>
</dd></dl>
<dl class="py class">
<dt id="pyFTS.models.nonstationary.nsfts.NonStationaryFTS">
<em class="property">class </em><code class="sig-prename descclassname">pyFTS.models.nonstationary.nsfts.</code><code class="sig-name descname">NonStationaryFTS</code><span class="sig-paren">(</span><em class="sig-param"><span class="o">**</span><span class="n">kwargs</span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/pyFTS/models/nonstationary/nsfts.html#NonStationaryFTS"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#pyFTS.models.nonstationary.nsfts.NonStationaryFTS" title="Permalink to this definition"></a></dt>
<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="py method">
<dt id="pyFTS.models.nonstationary.nsfts.NonStationaryFTS.conditional_perturbation_factors">
<code class="sig-name descname">conditional_perturbation_factors</code><span class="sig-paren">(</span><em class="sig-param"><span class="n">data</span></em>, <em class="sig-param"><span class="o">**</span><span class="n">kwargs</span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/pyFTS/models/nonstationary/nsfts.html#NonStationaryFTS.conditional_perturbation_factors"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#pyFTS.models.nonstationary.nsfts.NonStationaryFTS.conditional_perturbation_factors" title="Permalink to this definition"></a></dt>
<dd></dd></dl>
<dl class="py method">
<dt id="pyFTS.models.nonstationary.nsfts.NonStationaryFTS.forecast">
<code class="sig-name descname">forecast</code><span class="sig-paren">(</span><em class="sig-param"><span class="n">ndata</span></em>, <em class="sig-param"><span class="o">**</span><span class="n">kwargs</span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/pyFTS/models/nonstationary/nsfts.html#NonStationaryFTS.forecast"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#pyFTS.models.nonstationary.nsfts.NonStationaryFTS.forecast" title="Permalink to this definition"></a></dt>
<dd><p>Point forecast one step ahead</p>
<dl class="field-list simple">
<dt class="field-odd">Parameters</dt>
<dd class="field-odd"><ul class="simple">
<li><p><strong>data</strong> time series data with the minimal length equal to the max_lag of the model</p></li>
<li><p><strong>kwargs</strong> model specific parameters</p></li>
</ul>
</dd>
<dt class="field-even">Returns</dt>
<dd class="field-even"><p>a list with the forecasted values</p>
</dd>
</dl>
</dd></dl>
<dl class="py method">
<dt id="pyFTS.models.nonstationary.nsfts.NonStationaryFTS.forecast_interval">
<code class="sig-name descname">forecast_interval</code><span class="sig-paren">(</span><em class="sig-param"><span class="n">ndata</span></em>, <em class="sig-param"><span class="o">**</span><span class="n">kwargs</span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/pyFTS/models/nonstationary/nsfts.html#NonStationaryFTS.forecast_interval"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#pyFTS.models.nonstationary.nsfts.NonStationaryFTS.forecast_interval" title="Permalink to this definition"></a></dt>
<dd><p>Interval forecast one step ahead</p>
<dl class="field-list simple">
<dt class="field-odd">Parameters</dt>
<dd class="field-odd"><ul class="simple">
<li><p><strong>data</strong> time series data with the minimal length equal to the max_lag of the model</p></li>
<li><p><strong>kwargs</strong> model specific parameters</p></li>
</ul>
</dd>
<dt class="field-even">Returns</dt>
<dd class="field-even"><p>a list with the prediction intervals</p>
</dd>
</dl>
</dd></dl>
<dl class="py method">
<dt id="pyFTS.models.nonstationary.nsfts.NonStationaryFTS.generate_flrg">
<code class="sig-name descname">generate_flrg</code><span class="sig-paren">(</span><em class="sig-param"><span class="n">flrs</span></em>, <em class="sig-param"><span class="o">**</span><span class="n">kwargs</span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/pyFTS/models/nonstationary/nsfts.html#NonStationaryFTS.generate_flrg"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#pyFTS.models.nonstationary.nsfts.NonStationaryFTS.generate_flrg" title="Permalink to this definition"></a></dt>
<dd></dd></dl>
<dl class="py method">
<dt id="pyFTS.models.nonstationary.nsfts.NonStationaryFTS.train">
<code class="sig-name descname">train</code><span class="sig-paren">(</span><em class="sig-param"><span class="n">data</span></em>, <em class="sig-param"><span class="o">**</span><span class="n">kwargs</span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/pyFTS/models/nonstationary/nsfts.html#NonStationaryFTS.train"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#pyFTS.models.nonstationary.nsfts.NonStationaryFTS.train" title="Permalink to this definition"></a></dt>
<dd><p>Method specific parameter fitting</p>
<dl class="field-list simple">
<dt class="field-odd">Parameters</dt>
<dd class="field-odd"><ul class="simple">
<li><p><strong>data</strong> training time series data</p></li>
<li><p><strong>kwargs</strong> Method specific parameters</p></li>
</ul>
</dd>
</dl>
</dd></dl>
</dd></dl>
<dl class="py class">
<dt id="pyFTS.models.nonstationary.nsfts.WeightedNonStationaryFLRG">
<em class="property">class </em><code class="sig-prename descclassname">pyFTS.models.nonstationary.nsfts.</code><code class="sig-name descname">WeightedNonStationaryFLRG</code><span class="sig-paren">(</span><em class="sig-param"><span class="n">LHS</span></em>, <em class="sig-param"><span class="o">**</span><span class="n">kwargs</span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/pyFTS/models/nonstationary/nsfts.html#WeightedNonStationaryFLRG"><span class="viewcode-link">[source]</span></a><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="py method">
<dt id="pyFTS.models.nonstationary.nsfts.WeightedNonStationaryFLRG.append_rhs">
<code class="sig-name descname">append_rhs</code><span class="sig-paren">(</span><em class="sig-param"><span class="n">c</span></em>, <em class="sig-param"><span class="o">**</span><span class="n">kwargs</span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/pyFTS/models/nonstationary/nsfts.html#WeightedNonStationaryFLRG.append_rhs"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#pyFTS.models.nonstationary.nsfts.WeightedNonStationaryFLRG.append_rhs" title="Permalink to this definition"></a></dt>
<dd></dd></dl>
<dl class="py method">
<dt id="pyFTS.models.nonstationary.nsfts.WeightedNonStationaryFLRG.get_key">
<code class="sig-name descname">get_key</code><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="reference internal" href="_modules/pyFTS/models/nonstationary/nsfts.html#WeightedNonStationaryFLRG.get_key"><span class="viewcode-link">[source]</span></a><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="py method">
<dt id="pyFTS.models.nonstationary.nsfts.WeightedNonStationaryFLRG.get_midpoint">
<code class="sig-name descname">get_midpoint</code><span class="sig-paren">(</span><em class="sig-param"><span class="n">sets</span></em>, <em class="sig-param"><span class="n">perturb</span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/pyFTS/models/nonstationary/nsfts.html#WeightedNonStationaryFLRG.get_midpoint"><span class="viewcode-link">[source]</span></a><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>
<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">
<dt id="pyFTS.models.nonstationary.nsfts.WeightedNonStationaryFLRG.weights">
<code class="sig-name descname">weights</code><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="reference internal" href="_modules/pyFTS/models/nonstationary/nsfts.html#WeightedNonStationaryFLRG.weights"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#pyFTS.models.nonstationary.nsfts.WeightedNonStationaryFLRG.weights" title="Permalink to this definition"></a></dt>
<dd></dd></dl>
</dd></dl>
<dl class="py class">
<dt id="pyFTS.models.nonstationary.nsfts.WeightedNonStationaryFTS">
<em class="property">class </em><code class="sig-prename descclassname">pyFTS.models.nonstationary.nsfts.</code><code class="sig-name descname">WeightedNonStationaryFTS</code><span class="sig-paren">(</span><em class="sig-param"><span class="o">**</span><span class="n">kwargs</span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/pyFTS/models/nonstationary/nsfts.html#WeightedNonStationaryFTS"><span class="viewcode-link">[source]</span></a><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="py method">
<dt id="pyFTS.models.nonstationary.nsfts.WeightedNonStationaryFTS.generate_flrg">
<code class="sig-name descname">generate_flrg</code><span class="sig-paren">(</span><em class="sig-param"><span class="n">flrs</span></em>, <em class="sig-param"><span class="o">**</span><span class="n">kwargs</span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/pyFTS/models/nonstationary/nsfts.html#WeightedNonStationaryFTS.generate_flrg"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#pyFTS.models.nonstationary.nsfts.WeightedNonStationaryFTS.generate_flrg" title="Permalink to this definition"></a></dt>
<dd></dd></dl>
<dl class="py method">
<dt id="pyFTS.models.nonstationary.nsfts.WeightedNonStationaryFTS.train">
<code class="sig-name descname">train</code><span class="sig-paren">(</span><em class="sig-param"><span class="n">data</span></em>, <em class="sig-param"><span class="o">**</span><span class="n">kwargs</span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/pyFTS/models/nonstationary/nsfts.html#WeightedNonStationaryFTS.train"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#pyFTS.models.nonstationary.nsfts.WeightedNonStationaryFTS.train" title="Permalink to this definition"></a></dt>
<dd><p>Method specific parameter fitting</p>
<dl class="field-list simple">
<dt class="field-odd">Parameters</dt>
<dd class="field-odd"><ul class="simple">
<li><p><strong>data</strong> training time series data</p></li>
<li><p><strong>kwargs</strong> Method specific parameters</p></li>
</ul>
</dd>
</dl>
</dd></dl>
</dd></dl>
</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="py class">
<dt id="pyFTS.models.nonstationary.partitioners.PolynomialNonStationaryPartitioner">
<em class="property">class </em><code class="sig-prename descclassname">pyFTS.models.nonstationary.partitioners.</code><code class="sig-name descname">PolynomialNonStationaryPartitioner</code><span class="sig-paren">(</span><em class="sig-param"><span class="n">data</span></em>, <em class="sig-param"><span class="n">part</span></em>, <em class="sig-param"><span class="o">**</span><span class="n">kwargs</span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/pyFTS/models/nonstationary/partitioners.html#PolynomialNonStationaryPartitioner"><span class="viewcode-link">[source]</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>
<dl class="py method">
<dt id="pyFTS.models.nonstationary.partitioners.PolynomialNonStationaryPartitioner.build">
<code class="sig-name descname">build</code><span class="sig-paren">(</span><em class="sig-param"><span class="n">data</span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/pyFTS/models/nonstationary/partitioners.html#PolynomialNonStationaryPartitioner.build"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#pyFTS.models.nonstationary.partitioners.PolynomialNonStationaryPartitioner.build" title="Permalink to this definition"></a></dt>
<dd><p>Perform the partitioning of the Universe of Discourse</p>
<dl class="field-list simple">
<dt class="field-odd">Parameters</dt>
<dd class="field-odd"><p><strong>data</strong> training data</p>
</dd>
<dt class="field-even">Returns</dt>
<dd class="field-even"><p></p>
</dd>
</dl>
</dd></dl>
<dl class="py method">
<dt id="pyFTS.models.nonstationary.partitioners.PolynomialNonStationaryPartitioner.get_polynomial_perturbations">
<code class="sig-name descname">get_polynomial_perturbations</code><span class="sig-paren">(</span><em class="sig-param"><span class="n">data</span></em>, <em class="sig-param"><span class="o">**</span><span class="n">kwargs</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">[source]</span></a><a class="headerlink" href="#pyFTS.models.nonstationary.partitioners.PolynomialNonStationaryPartitioner.get_polynomial_perturbations" title="Permalink to this definition"></a></dt>
<dd></dd></dl>
<dl class="py method">
<dt id="pyFTS.models.nonstationary.partitioners.PolynomialNonStationaryPartitioner.poly_width">
<code class="sig-name descname">poly_width</code><span class="sig-paren">(</span><em class="sig-param"><span class="n">par1</span></em>, <em class="sig-param"><span class="n">par2</span></em>, <em class="sig-param"><span class="n">rng</span></em>, <em class="sig-param"><span class="n">deg</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">[source]</span></a><a class="headerlink" href="#pyFTS.models.nonstationary.partitioners.PolynomialNonStationaryPartitioner.poly_width" title="Permalink to this definition"></a></dt>
<dd></dd></dl>
<dl class="py method">
<dt id="pyFTS.models.nonstationary.partitioners.PolynomialNonStationaryPartitioner.scale_down">
<code class="sig-name descname">scale_down</code><span class="sig-paren">(</span><em class="sig-param"><span class="n">x</span></em>, <em class="sig-param"><span class="n">pct</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">[source]</span></a><a class="headerlink" href="#pyFTS.models.nonstationary.partitioners.PolynomialNonStationaryPartitioner.scale_down" title="Permalink to this definition"></a></dt>
<dd></dd></dl>
<dl class="py method">
<dt id="pyFTS.models.nonstationary.partitioners.PolynomialNonStationaryPartitioner.scale_up">
<code class="sig-name descname">scale_up</code><span class="sig-paren">(</span><em class="sig-param"><span class="n">x</span></em>, <em class="sig-param"><span class="n">pct</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">[source]</span></a><a class="headerlink" href="#pyFTS.models.nonstationary.partitioners.PolynomialNonStationaryPartitioner.scale_up" title="Permalink to this definition"></a></dt>
<dd></dd></dl>
</dd></dl>
<dl class="py class">
<dt id="pyFTS.models.nonstationary.partitioners.SimpleNonStationaryPartitioner">
<em class="property">class </em><code class="sig-prename descclassname">pyFTS.models.nonstationary.partitioners.</code><code class="sig-name descname">SimpleNonStationaryPartitioner</code><span class="sig-paren">(</span><em class="sig-param"><span class="n">data</span></em>, <em class="sig-param"><span class="n">part</span></em>, <em class="sig-param"><span class="o">**</span><span class="n">kwargs</span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/pyFTS/models/nonstationary/partitioners.html#SimpleNonStationaryPartitioner"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#pyFTS.models.nonstationary.partitioners.SimpleNonStationaryPartitioner" 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>
<dl class="py method">
<dt id="pyFTS.models.nonstationary.partitioners.SimpleNonStationaryPartitioner.build">
<code class="sig-name descname">build</code><span class="sig-paren">(</span><em class="sig-param"><span class="n">data</span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/pyFTS/models/nonstationary/partitioners.html#SimpleNonStationaryPartitioner.build"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#pyFTS.models.nonstationary.partitioners.SimpleNonStationaryPartitioner.build" title="Permalink to this definition"></a></dt>
<dd><p>Perform the partitioning of the Universe of Discourse</p>
<dl class="field-list simple">
<dt class="field-odd">Parameters</dt>
<dd class="field-odd"><p><strong>data</strong> training data</p>
</dd>
<dt class="field-even">Returns</dt>
<dd class="field-even"><p></p>
</dd>
</dl>
</dd></dl>
</dd></dl>
<dl class="py function">
<dt id="pyFTS.models.nonstationary.partitioners.simplenonstationary_gridpartitioner_builder">
<code class="sig-prename descclassname">pyFTS.models.nonstationary.partitioners.</code><code class="sig-name descname">simplenonstationary_gridpartitioner_builder</code><span class="sig-paren">(</span><em class="sig-param"><span class="n">data</span></em>, <em class="sig-param"><span class="n">npart</span></em>, <em class="sig-param"><span class="n">transformation</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">[source]</span></a><a class="headerlink" href="#pyFTS.models.nonstationary.partitioners.simplenonstationary_gridpartitioner_builder" title="Permalink to this definition"></a></dt>
<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="py function">
<dt id="pyFTS.models.nonstationary.perturbation.exponential">
<code class="sig-prename descclassname">pyFTS.models.nonstationary.perturbation.</code><code class="sig-name descname">exponential</code><span class="sig-paren">(</span><em class="sig-param"><span class="n">x</span></em>, <em class="sig-param"><span class="n">parameters</span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/pyFTS/models/nonstationary/perturbation.html#exponential"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#pyFTS.models.nonstationary.perturbation.exponential" title="Permalink to this definition"></a></dt>
<dd></dd></dl>
<dl class="py function">
<dt id="pyFTS.models.nonstationary.perturbation.linear">
<code class="sig-prename descclassname">pyFTS.models.nonstationary.perturbation.</code><code class="sig-name descname">linear</code><span class="sig-paren">(</span><em class="sig-param"><span class="n">x</span></em>, <em class="sig-param"><span class="n">parameters</span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/pyFTS/models/nonstationary/perturbation.html#linear"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#pyFTS.models.nonstationary.perturbation.linear" title="Permalink to this definition"></a></dt>
<dd></dd></dl>
<dl class="py function">
<dt id="pyFTS.models.nonstationary.perturbation.periodic">
<code class="sig-prename descclassname">pyFTS.models.nonstationary.perturbation.</code><code class="sig-name descname">periodic</code><span class="sig-paren">(</span><em class="sig-param"><span class="n">x</span></em>, <em class="sig-param"><span class="n">parameters</span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/pyFTS/models/nonstationary/perturbation.html#periodic"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#pyFTS.models.nonstationary.perturbation.periodic" title="Permalink to this definition"></a></dt>
<dd></dd></dl>
<dl class="py function">
<dt id="pyFTS.models.nonstationary.perturbation.polynomial">
<code class="sig-prename descclassname">pyFTS.models.nonstationary.perturbation.</code><code class="sig-name descname">polynomial</code><span class="sig-paren">(</span><em class="sig-param"><span class="n">x</span></em>, <em class="sig-param"><span class="n">parameters</span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/pyFTS/models/nonstationary/perturbation.html#polynomial"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#pyFTS.models.nonstationary.perturbation.polynomial" title="Permalink to this definition"></a></dt>
<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="py function">
<dt id="pyFTS.models.nonstationary.util.plot_sets">
<code class="sig-prename descclassname">pyFTS.models.nonstationary.util.</code><code class="sig-name descname">plot_sets</code><span class="sig-paren">(</span><em class="sig-param"><span class="n">partitioner</span></em>, <em class="sig-param"><span class="n">start</span><span class="o">=</span><span class="default_value">0</span></em>, <em class="sig-param"><span class="n">end</span><span class="o">=</span><span class="default_value">10</span></em>, <em class="sig-param"><span class="n">step</span><span class="o">=</span><span class="default_value">1</span></em>, <em class="sig-param"><span class="n">tam</span><span class="o">=</span><span class="default_value">[5, 5]</span></em>, <em class="sig-param"><span class="n">colors</span><span class="o">=</span><span class="default_value">None</span></em>, <em class="sig-param"><span class="n">save</span><span class="o">=</span><span class="default_value">False</span></em>, <em class="sig-param"><span class="n">file</span><span class="o">=</span><span class="default_value">None</span></em>, <em class="sig-param"><span class="n">axes</span><span class="o">=</span><span class="default_value">None</span></em>, <em class="sig-param"><span class="n">data</span><span class="o">=</span><span class="default_value">None</span></em>, <em class="sig-param"><span class="n">window_size</span><span class="o">=</span><span class="default_value">1</span></em>, <em class="sig-param"><span class="n">only_lines</span><span class="o">=</span><span class="default_value">False</span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/pyFTS/models/nonstationary/util.html#plot_sets"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#pyFTS.models.nonstationary.util.plot_sets" title="Permalink to this definition"></a></dt>
<dd></dd></dl>
<dl class="py function">
<dt id="pyFTS.models.nonstationary.util.plot_sets_conditional">
<code class="sig-prename descclassname">pyFTS.models.nonstationary.util.</code><code class="sig-name descname">plot_sets_conditional</code><span class="sig-paren">(</span><em class="sig-param"><span class="n">model</span></em>, <em class="sig-param"><span class="n">data</span></em>, <em class="sig-param"><span class="n">step</span><span class="o">=</span><span class="default_value">1</span></em>, <em class="sig-param"><span class="n">size</span><span class="o">=</span><span class="default_value">[5, 5]</span></em>, <em class="sig-param"><span class="n">colors</span><span class="o">=</span><span class="default_value">None</span></em>, <em class="sig-param"><span class="n">save</span><span class="o">=</span><span class="default_value">False</span></em>, <em class="sig-param"><span class="n">file</span><span class="o">=</span><span class="default_value">None</span></em>, <em class="sig-param"><span class="n">axes</span><span class="o">=</span><span class="default_value">None</span></em>, <em class="sig-param"><span class="n">fig</span><span class="o">=</span><span class="default_value">None</span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/pyFTS/models/nonstationary/util.html#plot_sets_conditional"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#pyFTS.models.nonstationary.util.plot_sets_conditional" title="Permalink to this definition"></a></dt>
<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 class="clearer"></div>
</div>
</div>
</div>
<div class="sphinxsidebar" role="navigation" aria-label="main navigation">
<div class="sphinxsidebarwrapper">
<h3><a href="index.html">Table of Contents</a></h3>
<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>
</ul>
</li>
</ul>
<h4>Previous topic</h4>
<p class="topless"><a href="pyFTS.models.multivariate.html"
title="previous chapter">pyFTS.models.multivariate package</a></p>
<h4>Next topic</h4>
<p class="topless"><a href="pyFTS.models.seasonal.html"
title="next chapter">pyFTS.models.seasonal package</a></p>
<div role="note" aria-label="source link">
<h3>This Page</h3>
<ul class="this-page-menu">
<li><a href="_sources/pyFTS.models.nonstationary.rst.txt"
rel="nofollow">Show Source</a></li>
</ul>
</div>
<div id="searchbox" style="display: none" role="search">
<h3 id="searchlabel">Quick search</h3>
<div class="searchformwrapper">
<form class="search" action="search.html" method="get">
<input type="text" name="q" aria-labelledby="searchlabel" />
<input type="submit" value="Go" />
</form>
</div>
</div>
<script>$('#searchbox').show(0);</script>
</div>
</div>
<div class="clearer"></div>
</div>
<div class="related" role="navigation" aria-label="related navigation">
<h3>Navigation</h3>
<ul>
<li class="right" style="margin-right: 10px">
<a href="genindex.html" title="General Index"
>index</a></li>
<li class="right" >
<a href="py-modindex.html" title="Python Module Index"
>modules</a> |</li>
<li class="right" >
<a href="pyFTS.models.seasonal.html" title="pyFTS.models.seasonal package"
>next</a> |</li>
<li class="right" >
<a href="pyFTS.models.multivariate.html" title="pyFTS.models.multivariate package"
>previous</a> |</li>
<li class="nav-item nav-item-0"><a href="index.html">pyFTS 1.6 documentation</a> &#187;</li>
<li class="nav-item nav-item-1"><a href="modules.html" >pyFTS</a> &#187;</li>
<li class="nav-item nav-item-2"><a href="pyFTS.html" >pyFTS package</a> &#187;</li>
<li class="nav-item nav-item-3"><a href="pyFTS.models.html" >pyFTS.models package</a> &#187;</li>
<li class="nav-item nav-item-this"><a href="">pyFTS.models.nonstationary package</a></li>
</ul>
</div>
<div class="footer" role="contentinfo">
&#169; Copyright 2018, Machine Intelligence and Data Science Laboratory - UFMG - Brazil.
Created using <a href="https://www.sphinx-doc.org/">Sphinx</a> 3.1.2.
</div>
</body>
</html>