pyFTS/docs/build/html/pyFTS.common.transformations.html

688 lines
53 KiB
HTML
Raw Normal View History

2021-01-13 00:40:50 +04:00
<!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.common.transformations 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.data package" href="pyFTS.data.html" />
<link rel="prev" title="pyFTS.common package" href="pyFTS.common.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.data.html" title="pyFTS.data package"
accesskey="N">next</a> |</li>
<li class="right" >
<a href="pyFTS.common.html" title="pyFTS.common 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" accesskey="U">pyFTS package</a> &#187;</li>
<li class="nav-item nav-item-this"><a href="">pyFTS.common.transformations package</a></li>
</ul>
</div>
<div class="document">
<div class="documentwrapper">
<div class="bodywrapper">
<div class="body" role="main">
<div class="section" id="pyfts-common-transformations-package">
<h1>pyFTS.common.transformations package<a class="headerlink" href="#pyfts-common-transformations-package" title="Permalink to this headline"></a></h1>
2021-01-13 03:05:34 +04:00
<div class="section" id="module-pyFTS.common.transformations">
<span id="module-contents"></span><h2>Module contents<a class="headerlink" href="#module-pyFTS.common.transformations" title="Permalink to this headline"></a></h2>
2021-01-13 00:40:50 +04:00
</div>
<div class="section" id="submodules">
<h2>Submodules<a class="headerlink" href="#submodules" title="Permalink to this headline"></a></h2>
</div>
<div class="section" id="pyfts-common-transformations-adapativeexpectation-module">
<h2>pyFTS.common.transformations.adapativeexpectation module<a class="headerlink" href="#pyfts-common-transformations-adapativeexpectation-module" title="Permalink to this headline"></a></h2>
</div>
2021-01-13 03:05:34 +04:00
<div class="section" id="module-pyFTS.common.transformations.boxcox">
<span id="pyfts-common-transformations-boxcox-module"></span><h2>pyFTS.common.transformations.boxcox module<a class="headerlink" href="#module-pyFTS.common.transformations.boxcox" title="Permalink to this headline"></a></h2>
<dl class="py class">
<dt id="pyFTS.common.transformations.boxcox.BoxCox">
<em class="property">class </em><code class="sig-prename descclassname">pyFTS.common.transformations.boxcox.</code><code class="sig-name descname">BoxCox</code><span class="sig-paren">(</span><em class="sig-param"><span class="n">plambda</span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/pyFTS/common/transformations/boxcox.html#BoxCox"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#pyFTS.common.transformations.boxcox.BoxCox" title="Permalink to this definition"></a></dt>
<dd><p>Bases: <a class="reference internal" href="#pyFTS.common.transformations.transformation.Transformation" title="pyFTS.common.transformations.transformation.Transformation"><code class="xref py py-class docutils literal notranslate"><span class="pre">pyFTS.common.transformations.transformation.Transformation</span></code></a></p>
<p>Box-Cox power transformation</p>
<p>y(t) = log( y(t) )
y(t) = exp( y(t) )</p>
<dl class="py method">
<dt id="pyFTS.common.transformations.boxcox.BoxCox.apply">
<code class="sig-name descname">apply</code><span class="sig-paren">(</span><em class="sig-param"><span class="n">data</span></em>, <em class="sig-param"><span class="n">param</span><span class="o">=</span><span class="default_value">None</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/common/transformations/boxcox.html#BoxCox.apply"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#pyFTS.common.transformations.boxcox.BoxCox.apply" title="Permalink to this definition"></a></dt>
<dd><p>Apply the transformation on 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>param</strong> </p></li>
<li><p><strong>kwargs</strong> </p></li>
</ul>
</dd>
<dt class="field-even">Returns</dt>
<dd class="field-even"><p>numpy array with transformed data</p>
</dd>
</dl>
</dd></dl>
<dl class="py method">
<dt id="pyFTS.common.transformations.boxcox.BoxCox.inverse">
<code class="sig-name descname">inverse</code><span class="sig-paren">(</span><em class="sig-param"><span class="n">data</span></em>, <em class="sig-param"><span class="n">param</span><span class="o">=</span><span class="default_value">None</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/common/transformations/boxcox.html#BoxCox.inverse"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#pyFTS.common.transformations.boxcox.BoxCox.inverse" title="Permalink to this definition"></a></dt>
<dd><dl class="field-list simple">
<dt class="field-odd">Parameters</dt>
<dd class="field-odd"><ul class="simple">
<li><p><strong>data</strong> transformed data</p></li>
<li><p><strong>param</strong> </p></li>
<li><p><strong>kwargs</strong> </p></li>
</ul>
</dd>
<dt class="field-even">Returns</dt>
<dd class="field-even"><p>numpy array with inverse transformed data</p>
</dd>
</dl>
</dd></dl>
<dl class="py method">
<dt id="pyFTS.common.transformations.boxcox.BoxCox.parameters">
<em class="property">property </em><code class="sig-name descname">parameters</code><a class="headerlink" href="#pyFTS.common.transformations.boxcox.BoxCox.parameters" title="Permalink to this definition"></a></dt>
<dd></dd></dl>
</dd></dl>
2021-01-13 00:40:50 +04:00
</div>
2021-01-13 03:05:34 +04:00
<div class="section" id="module-pyFTS.common.transformations.differential">
<span id="pyfts-common-transformations-differential-module"></span><h2>pyFTS.common.transformations.differential module<a class="headerlink" href="#module-pyFTS.common.transformations.differential" title="Permalink to this headline"></a></h2>
<dl class="py class">
<dt id="pyFTS.common.transformations.differential.Differential">
<em class="property">class </em><code class="sig-prename descclassname">pyFTS.common.transformations.differential.</code><code class="sig-name descname">Differential</code><span class="sig-paren">(</span><em class="sig-param"><span class="n">lag</span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/pyFTS/common/transformations/differential.html#Differential"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#pyFTS.common.transformations.differential.Differential" title="Permalink to this definition"></a></dt>
<dd><p>Bases: <a class="reference internal" href="#pyFTS.common.transformations.transformation.Transformation" title="pyFTS.common.transformations.transformation.Transformation"><code class="xref py py-class docutils literal notranslate"><span class="pre">pyFTS.common.transformations.transformation.Transformation</span></code></a></p>
<p>Differentiation data transform</p>
<p>y(t) = y(t) - y(t-1)
y(t) = y(t-1) + y(t)</p>
<dl class="py method">
<dt id="pyFTS.common.transformations.differential.Differential.apply">
<code class="sig-name descname">apply</code><span class="sig-paren">(</span><em class="sig-param"><span class="n">data</span></em>, <em class="sig-param"><span class="n">param</span><span class="o">=</span><span class="default_value">None</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/common/transformations/differential.html#Differential.apply"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#pyFTS.common.transformations.differential.Differential.apply" title="Permalink to this definition"></a></dt>
<dd><p>Apply the transformation on 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>param</strong> </p></li>
<li><p><strong>kwargs</strong> </p></li>
</ul>
</dd>
<dt class="field-even">Returns</dt>
<dd class="field-even"><p>numpy array with transformed data</p>
</dd>
</dl>
</dd></dl>
<dl class="py method">
<dt id="pyFTS.common.transformations.differential.Differential.inverse">
<code class="sig-name descname">inverse</code><span class="sig-paren">(</span><em class="sig-param"><span class="n">data</span></em>, <em class="sig-param"><span class="n">param</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/common/transformations/differential.html#Differential.inverse"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#pyFTS.common.transformations.differential.Differential.inverse" title="Permalink to this definition"></a></dt>
<dd><dl class="field-list simple">
<dt class="field-odd">Parameters</dt>
<dd class="field-odd"><ul class="simple">
<li><p><strong>data</strong> transformed data</p></li>
<li><p><strong>param</strong> </p></li>
<li><p><strong>kwargs</strong> </p></li>
</ul>
</dd>
<dt class="field-even">Returns</dt>
<dd class="field-even"><p>numpy array with inverse transformed data</p>
</dd>
</dl>
</dd></dl>
<dl class="py method">
<dt id="pyFTS.common.transformations.differential.Differential.parameters">
<em class="property">property </em><code class="sig-name descname">parameters</code><a class="headerlink" href="#pyFTS.common.transformations.differential.Differential.parameters" title="Permalink to this definition"></a></dt>
<dd></dd></dl>
</dd></dl>
2021-01-13 00:40:50 +04:00
</div>
2021-01-13 03:05:34 +04:00
<div class="section" id="module-pyFTS.common.transformations.normalization">
<span id="pyfts-common-transformations-normalization-module"></span><h2>pyFTS.common.transformations.normalization module<a class="headerlink" href="#module-pyFTS.common.transformations.normalization" title="Permalink to this headline"></a></h2>
<dl class="py class">
<dt id="pyFTS.common.transformations.normalization.Normalization">
<em class="property">class </em><code class="sig-prename descclassname">pyFTS.common.transformations.normalization.</code><code class="sig-name descname">Normalization</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/common/transformations/normalization.html#Normalization"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#pyFTS.common.transformations.normalization.Normalization" title="Permalink to this definition"></a></dt>
<dd><p>Bases: <a class="reference internal" href="#pyFTS.common.transformations.transformation.Transformation" title="pyFTS.common.transformations.transformation.Transformation"><code class="xref py py-class docutils literal notranslate"><span class="pre">pyFTS.common.transformations.transformation.Transformation</span></code></a></p>
<dl class="py method">
<dt id="pyFTS.common.transformations.normalization.Normalization.apply">
<code class="sig-name descname">apply</code><span class="sig-paren">(</span><em class="sig-param"><span class="n">data</span></em>, <em class="sig-param"><span class="n">param</span><span class="o">=</span><span class="default_value">None</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/common/transformations/normalization.html#Normalization.apply"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#pyFTS.common.transformations.normalization.Normalization.apply" title="Permalink to this definition"></a></dt>
<dd><p>Apply the transformation on 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>param</strong> </p></li>
<li><p><strong>kwargs</strong> </p></li>
</ul>
</dd>
<dt class="field-even">Returns</dt>
<dd class="field-even"><p>numpy array with transformed data</p>
</dd>
</dl>
</dd></dl>
<dl class="py method">
<dt id="pyFTS.common.transformations.normalization.Normalization.inverse">
<code class="sig-name descname">inverse</code><span class="sig-paren">(</span><em class="sig-param"><span class="n">data</span></em>, <em class="sig-param"><span class="n">param</span><span class="o">=</span><span class="default_value">None</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/common/transformations/normalization.html#Normalization.inverse"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#pyFTS.common.transformations.normalization.Normalization.inverse" title="Permalink to this definition"></a></dt>
<dd><dl class="field-list simple">
<dt class="field-odd">Parameters</dt>
<dd class="field-odd"><ul class="simple">
<li><p><strong>data</strong> transformed data</p></li>
<li><p><strong>param</strong> </p></li>
<li><p><strong>kwargs</strong> </p></li>
</ul>
</dd>
<dt class="field-even">Returns</dt>
<dd class="field-even"><p>numpy array with inverse transformed data</p>
</dd>
</dl>
</dd></dl>
<dl class="py method">
<dt id="pyFTS.common.transformations.normalization.Normalization.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/common/transformations/normalization.html#Normalization.train"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#pyFTS.common.transformations.normalization.Normalization.train" title="Permalink to this definition"></a></dt>
<dd></dd></dl>
</dd></dl>
2021-01-13 00:40:50 +04:00
</div>
2021-01-13 03:05:34 +04:00
<div class="section" id="module-pyFTS.common.transformations.roi">
<span id="pyfts-common-transformations-roi-module"></span><h2>pyFTS.common.transformations.roi module<a class="headerlink" href="#module-pyFTS.common.transformations.roi" title="Permalink to this headline"></a></h2>
<dl class="py class">
<dt id="pyFTS.common.transformations.roi.ROI">
<em class="property">class </em><code class="sig-prename descclassname">pyFTS.common.transformations.roi.</code><code class="sig-name descname">ROI</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/common/transformations/roi.html#ROI"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#pyFTS.common.transformations.roi.ROI" title="Permalink to this definition"></a></dt>
<dd><p>Bases: <a class="reference internal" href="#pyFTS.common.transformations.transformation.Transformation" title="pyFTS.common.transformations.transformation.Transformation"><code class="xref py py-class docutils literal notranslate"><span class="pre">pyFTS.common.transformations.transformation.Transformation</span></code></a></p>
<p>Return of Investment (ROI) transformation. Retrieved from Sadaei and Lee (2014) - Multilayer Stock
Forecasting Model Using Fuzzy Time Series</p>
<p>y(t) = ( y(t) - y(t-1) ) / y(t-1)
y(t) = ( y(t-1) * y(t) ) + y(t-1)</p>
<dl class="py method">
<dt id="pyFTS.common.transformations.roi.ROI.apply">
<code class="sig-name descname">apply</code><span class="sig-paren">(</span><em class="sig-param"><span class="n">data</span></em>, <em class="sig-param"><span class="n">param</span><span class="o">=</span><span class="default_value">None</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/common/transformations/roi.html#ROI.apply"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#pyFTS.common.transformations.roi.ROI.apply" title="Permalink to this definition"></a></dt>
<dd><p>Apply the transformation on 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>param</strong> </p></li>
<li><p><strong>kwargs</strong> </p></li>
</ul>
</dd>
<dt class="field-even">Returns</dt>
<dd class="field-even"><p>numpy array with transformed data</p>
</dd>
</dl>
</dd></dl>
<dl class="py method">
<dt id="pyFTS.common.transformations.roi.ROI.inverse">
<code class="sig-name descname">inverse</code><span class="sig-paren">(</span><em class="sig-param"><span class="n">data</span></em>, <em class="sig-param"><span class="n">param</span><span class="o">=</span><span class="default_value">None</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/common/transformations/roi.html#ROI.inverse"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#pyFTS.common.transformations.roi.ROI.inverse" title="Permalink to this definition"></a></dt>
<dd><dl class="field-list simple">
<dt class="field-odd">Parameters</dt>
<dd class="field-odd"><ul class="simple">
<li><p><strong>data</strong> transformed data</p></li>
<li><p><strong>param</strong> </p></li>
<li><p><strong>kwargs</strong> </p></li>
</ul>
</dd>
<dt class="field-even">Returns</dt>
<dd class="field-even"><p>numpy array with inverse transformed data</p>
</dd>
</dl>
</dd></dl>
</dd></dl>
2021-01-13 00:40:50 +04:00
</div>
2021-01-13 03:05:34 +04:00
<div class="section" id="module-pyFTS.common.transformations.scale">
<span id="pyfts-common-transformations-scale-module"></span><h2>pyFTS.common.transformations.scale module<a class="headerlink" href="#module-pyFTS.common.transformations.scale" title="Permalink to this headline"></a></h2>
<dl class="py class">
<dt id="pyFTS.common.transformations.scale.Scale">
<em class="property">class </em><code class="sig-prename descclassname">pyFTS.common.transformations.scale.</code><code class="sig-name descname">Scale</code><span class="sig-paren">(</span><em class="sig-param"><span class="n">min</span><span class="o">=</span><span class="default_value">0</span></em>, <em class="sig-param"><span class="n">max</span><span class="o">=</span><span class="default_value">1</span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/pyFTS/common/transformations/scale.html#Scale"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#pyFTS.common.transformations.scale.Scale" title="Permalink to this definition"></a></dt>
<dd><p>Bases: <a class="reference internal" href="#pyFTS.common.transformations.transformation.Transformation" title="pyFTS.common.transformations.transformation.Transformation"><code class="xref py py-class docutils literal notranslate"><span class="pre">pyFTS.common.transformations.transformation.Transformation</span></code></a></p>
<p>Scale data inside a interval [min, max]</p>
<dl class="py method">
<dt id="pyFTS.common.transformations.scale.Scale.apply">
<code class="sig-name descname">apply</code><span class="sig-paren">(</span><em class="sig-param"><span class="n">data</span></em>, <em class="sig-param"><span class="n">param</span><span class="o">=</span><span class="default_value">None</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/common/transformations/scale.html#Scale.apply"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#pyFTS.common.transformations.scale.Scale.apply" title="Permalink to this definition"></a></dt>
<dd><p>Apply the transformation on 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>param</strong> </p></li>
<li><p><strong>kwargs</strong> </p></li>
</ul>
</dd>
<dt class="field-even">Returns</dt>
<dd class="field-even"><p>numpy array with transformed data</p>
</dd>
</dl>
</dd></dl>
<dl class="py method">
<dt id="pyFTS.common.transformations.scale.Scale.inverse">
<code class="sig-name descname">inverse</code><span class="sig-paren">(</span><em class="sig-param"><span class="n">data</span></em>, <em class="sig-param"><span class="n">param</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/common/transformations/scale.html#Scale.inverse"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#pyFTS.common.transformations.scale.Scale.inverse" title="Permalink to this definition"></a></dt>
<dd><dl class="field-list simple">
<dt class="field-odd">Parameters</dt>
<dd class="field-odd"><ul class="simple">
<li><p><strong>data</strong> transformed data</p></li>
<li><p><strong>param</strong> </p></li>
<li><p><strong>kwargs</strong> </p></li>
</ul>
</dd>
<dt class="field-even">Returns</dt>
<dd class="field-even"><p>numpy array with inverse transformed data</p>
</dd>
</dl>
</dd></dl>
<dl class="py method">
<dt id="pyFTS.common.transformations.scale.Scale.parameters">
<em class="property">property </em><code class="sig-name descname">parameters</code><a class="headerlink" href="#pyFTS.common.transformations.scale.Scale.parameters" title="Permalink to this definition"></a></dt>
<dd></dd></dl>
</dd></dl>
2021-01-13 00:40:50 +04:00
</div>
2021-01-13 03:05:34 +04:00
<div class="section" id="module-pyFTS.common.transformations.smoothing">
<span id="pyfts-common-transformations-smoothing-module"></span><h2>pyFTS.common.transformations.smoothing module<a class="headerlink" href="#module-pyFTS.common.transformations.smoothing" title="Permalink to this headline"></a></h2>
<dl class="py class">
<dt id="pyFTS.common.transformations.smoothing.ExponentialSmoothing">
<em class="property">class </em><code class="sig-prename descclassname">pyFTS.common.transformations.smoothing.</code><code class="sig-name descname">ExponentialSmoothing</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/common/transformations/smoothing.html#ExponentialSmoothing"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#pyFTS.common.transformations.smoothing.ExponentialSmoothing" title="Permalink to this definition"></a></dt>
<dd><p>Bases: <a class="reference internal" href="#pyFTS.common.transformations.transformation.Transformation" title="pyFTS.common.transformations.transformation.Transformation"><code class="xref py py-class docutils literal notranslate"><span class="pre">pyFTS.common.transformations.transformation.Transformation</span></code></a></p>
<dl class="py method">
<dt id="pyFTS.common.transformations.smoothing.ExponentialSmoothing.apply">
<code class="sig-name descname">apply</code><span class="sig-paren">(</span><em class="sig-param"><span class="n">data</span></em>, <em class="sig-param"><span class="n">param</span><span class="o">=</span><span class="default_value">None</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/common/transformations/smoothing.html#ExponentialSmoothing.apply"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#pyFTS.common.transformations.smoothing.ExponentialSmoothing.apply" title="Permalink to this definition"></a></dt>
<dd><p>Apply the transformation on 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>param</strong> </p></li>
<li><p><strong>kwargs</strong> </p></li>
</ul>
</dd>
<dt class="field-even">Returns</dt>
<dd class="field-even"><p>numpy array with transformed data</p>
</dd>
</dl>
</dd></dl>
<dl class="py method">
<dt id="pyFTS.common.transformations.smoothing.ExponentialSmoothing.inverse">
<code class="sig-name descname">inverse</code><span class="sig-paren">(</span><em class="sig-param"><span class="n">data</span></em>, <em class="sig-param"><span class="n">param</span><span class="o">=</span><span class="default_value">None</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/common/transformations/smoothing.html#ExponentialSmoothing.inverse"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#pyFTS.common.transformations.smoothing.ExponentialSmoothing.inverse" title="Permalink to this definition"></a></dt>
<dd><dl class="field-list simple">
<dt class="field-odd">Parameters</dt>
<dd class="field-odd"><ul class="simple">
<li><p><strong>data</strong> transformed data</p></li>
<li><p><strong>param</strong> </p></li>
<li><p><strong>kwargs</strong> </p></li>
</ul>
</dd>
<dt class="field-even">Returns</dt>
<dd class="field-even"><p>numpy array with inverse transformed data</p>
</dd>
</dl>
</dd></dl>
</dd></dl>
<dl class="py class">
<dt id="pyFTS.common.transformations.smoothing.MovingAverage">
<em class="property">class </em><code class="sig-prename descclassname">pyFTS.common.transformations.smoothing.</code><code class="sig-name descname">MovingAverage</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/common/transformations/smoothing.html#MovingAverage"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#pyFTS.common.transformations.smoothing.MovingAverage" title="Permalink to this definition"></a></dt>
<dd><p>Bases: <a class="reference internal" href="#pyFTS.common.transformations.transformation.Transformation" title="pyFTS.common.transformations.transformation.Transformation"><code class="xref py py-class docutils literal notranslate"><span class="pre">pyFTS.common.transformations.transformation.Transformation</span></code></a></p>
<dl class="py method">
<dt id="pyFTS.common.transformations.smoothing.MovingAverage.apply">
<code class="sig-name descname">apply</code><span class="sig-paren">(</span><em class="sig-param"><span class="n">data</span></em>, <em class="sig-param"><span class="n">param</span><span class="o">=</span><span class="default_value">None</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/common/transformations/smoothing.html#MovingAverage.apply"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#pyFTS.common.transformations.smoothing.MovingAverage.apply" title="Permalink to this definition"></a></dt>
<dd><p>Apply the transformation on 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>param</strong> </p></li>
<li><p><strong>kwargs</strong> </p></li>
</ul>
</dd>
<dt class="field-even">Returns</dt>
<dd class="field-even"><p>numpy array with transformed data</p>
</dd>
</dl>
</dd></dl>
<dl class="py method">
<dt id="pyFTS.common.transformations.smoothing.MovingAverage.inverse">
<code class="sig-name descname">inverse</code><span class="sig-paren">(</span><em class="sig-param"><span class="n">data</span></em>, <em class="sig-param"><span class="n">param</span><span class="o">=</span><span class="default_value">None</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/common/transformations/smoothing.html#MovingAverage.inverse"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#pyFTS.common.transformations.smoothing.MovingAverage.inverse" title="Permalink to this definition"></a></dt>
<dd><dl class="field-list simple">
<dt class="field-odd">Parameters</dt>
<dd class="field-odd"><ul class="simple">
<li><p><strong>data</strong> transformed data</p></li>
<li><p><strong>param</strong> </p></li>
<li><p><strong>kwargs</strong> </p></li>
</ul>
</dd>
<dt class="field-even">Returns</dt>
<dd class="field-even"><p>numpy array with inverse transformed data</p>
</dd>
</dl>
</dd></dl>
</dd></dl>
2021-01-13 01:04:42 +04:00
</div>
2021-01-13 03:10:49 +04:00
<div class="section" id="module-pyFTS.common.transformations.som">
<span id="pyfts-common-transformations-som-module"></span><h2>pyFTS.common.transformations.som module<a class="headerlink" href="#module-pyFTS.common.transformations.som" title="Permalink to this headline"></a></h2>
<p>Kohonen Self Organizing Maps for Fuzzy Time Series</p>
<dl class="py class">
<dt id="pyFTS.common.transformations.som.SOMTransformation">
<em class="property">class </em><code class="sig-prename descclassname">pyFTS.common.transformations.som.</code><code class="sig-name descname">SOMTransformation</code><span class="sig-paren">(</span><em class="sig-param"><span class="n">grid_dimension</span><span class="p">:</span> <span class="n">Tuple</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/common/transformations/som.html#SOMTransformation"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#pyFTS.common.transformations.som.SOMTransformation" title="Permalink to this definition"></a></dt>
<dd><p>Bases: <a class="reference internal" href="#pyFTS.common.transformations.transformation.Transformation" title="pyFTS.common.transformations.transformation.Transformation"><code class="xref py py-class docutils literal notranslate"><span class="pre">pyFTS.common.transformations.transformation.Transformation</span></code></a></p>
<dl class="py method">
<dt id="pyFTS.common.transformations.som.SOMTransformation.apply">
<code class="sig-name descname">apply</code><span class="sig-paren">(</span><em class="sig-param"><span class="n">data</span><span class="p">:</span> <span class="n">pandas.core.frame.DataFrame</span></em>, <em class="sig-param"><span class="n">param</span><span class="o">=</span><span class="default_value">None</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/common/transformations/som.html#SOMTransformation.apply"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#pyFTS.common.transformations.som.SOMTransformation.apply" title="Permalink to this definition"></a></dt>
<dd><p>Transform a M-dimensional dataset into a 3-dimensional dataset, where one dimension is the endogen variable
If endogen_variable = None, the last column will be the endogen_variable.
Args:</p>
<blockquote>
<div><p>data (pd.DataFrame): M-Dimensional dataset
endogen_variable (str): column of dataset
names (Tuple): names for new columns created by SOM Transformation.
param:
<a href="#id1"><span class="problematic" id="id2">**</span></a>kwargs: params of SOMs train process</p>
<blockquote>
<div><p>percentage_train (float). Percentage of dataset that will be used for train SOM network. default: 0.7
leaning_rate (float): leaning rate of SOM network. default: 0.01
epochs: epochs of SOM network. default: 10000</p>
</div></blockquote>
</div></blockquote>
<p>Returns:</p>
</dd></dl>
<dl class="py method">
<dt id="pyFTS.common.transformations.som.SOMTransformation.save_net">
<code class="sig-name descname">save_net</code><span class="sig-paren">(</span><em class="sig-param"><span class="n">filename</span><span class="p">:</span> <span class="n"><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.9)">str</a></span> <span class="o">=</span> <span class="default_value">'SomNet trained'</span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/pyFTS/common/transformations/som.html#SOMTransformation.save_net"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#pyFTS.common.transformations.som.SOMTransformation.save_net" title="Permalink to this definition"></a></dt>
<dd></dd></dl>
<dl class="py method">
<dt id="pyFTS.common.transformations.som.SOMTransformation.show_grid">
<code class="sig-name descname">show_grid</code><span class="sig-paren">(</span><em class="sig-param"><span class="n">graph_type</span><span class="p">:</span> <span class="n"><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.9)">str</a></span> <span class="o">=</span> <span class="default_value">'nodes_graph'</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/common/transformations/som.html#SOMTransformation.show_grid"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#pyFTS.common.transformations.som.SOMTransformation.show_grid" title="Permalink to this definition"></a></dt>
<dd></dd></dl>
<dl class="py method">
<dt id="pyFTS.common.transformations.som.SOMTransformation.train">
<code class="sig-name descname">train</code><span class="sig-paren">(</span><em class="sig-param"><span class="n">data</span><span class="p">:</span> <span class="n">pandas.core.frame.DataFrame</span></em>, <em class="sig-param"><span class="n">percentage_train</span><span class="p">:</span> <span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.9)">float</a></span> <span class="o">=</span> <span class="default_value">0.7</span></em>, <em class="sig-param"><span class="n">leaning_rate</span><span class="p">:</span> <span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.9)">float</a></span> <span class="o">=</span> <span class="default_value">0.01</span></em>, <em class="sig-param"><span class="n">epochs</span><span class="p">:</span> <span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.9)">int</a></span> <span class="o">=</span> <span class="default_value">10000</span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/pyFTS/common/transformations/som.html#SOMTransformation.train"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#pyFTS.common.transformations.som.SOMTransformation.train" title="Permalink to this definition"></a></dt>
<dd></dd></dl>
</dd></dl>
2021-01-13 00:40:50 +04:00
</div>
2021-01-13 03:05:34 +04:00
<div class="section" id="module-pyFTS.common.transformations.transformation">
<span id="pyfts-common-transformations-transformation-module"></span><h2>pyFTS.common.transformations.transformation module<a class="headerlink" href="#module-pyFTS.common.transformations.transformation" title="Permalink to this headline"></a></h2>
<dl class="py class">
<dt id="pyFTS.common.transformations.transformation.Transformation">
<em class="property">class </em><code class="sig-prename descclassname">pyFTS.common.transformations.transformation.</code><code class="sig-name descname">Transformation</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/common/transformations/transformation.html#Transformation"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#pyFTS.common.transformations.transformation.Transformation" title="Permalink to this definition"></a></dt>
<dd><p>Bases: <a class="reference external" href="https://docs.python.org/3/library/functions.html#object" title="(in Python v3.9)"><code class="xref py py-class docutils literal notranslate"><span class="pre">object</span></code></a></p>
<p>Data transformation used on pre and post processing of the FTS</p>
<dl class="py method">
<dt id="pyFTS.common.transformations.transformation.Transformation.apply">
<code class="sig-name descname">apply</code><span class="sig-paren">(</span><em class="sig-param"><span class="n">data</span></em>, <em class="sig-param"><span class="n">param</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/common/transformations/transformation.html#Transformation.apply"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#pyFTS.common.transformations.transformation.Transformation.apply" title="Permalink to this definition"></a></dt>
<dd><p>Apply the transformation on 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>param</strong> </p></li>
<li><p><strong>kwargs</strong> </p></li>
</ul>
</dd>
<dt class="field-even">Returns</dt>
<dd class="field-even"><p>numpy array with transformed data</p>
</dd>
</dl>
</dd></dl>
<dl class="py method">
<dt id="pyFTS.common.transformations.transformation.Transformation.inverse">
<code class="sig-name descname">inverse</code><span class="sig-paren">(</span><em class="sig-param"><span class="n">data</span></em>, <em class="sig-param"><span class="n">param</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/common/transformations/transformation.html#Transformation.inverse"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#pyFTS.common.transformations.transformation.Transformation.inverse" title="Permalink to this definition"></a></dt>
<dd><dl class="field-list simple">
<dt class="field-odd">Parameters</dt>
<dd class="field-odd"><ul class="simple">
<li><p><strong>data</strong> transformed data</p></li>
<li><p><strong>param</strong> </p></li>
<li><p><strong>kwargs</strong> </p></li>
</ul>
</dd>
<dt class="field-even">Returns</dt>
<dd class="field-even"><p>numpy array with inverse transformed data</p>
</dd>
</dl>
</dd></dl>
<dl class="py attribute">
<dt id="pyFTS.common.transformations.transformation.Transformation.is_multivariate">
<code class="sig-name descname">is_multivariate</code><a class="headerlink" href="#pyFTS.common.transformations.transformation.Transformation.is_multivariate" title="Permalink to this definition"></a></dt>
<dd><p>detemine if this transformation can be applied to multivariate data</p>
</dd></dl>
</dd></dl>
2021-01-13 00:40:50 +04:00
</div>
2021-01-13 03:05:34 +04:00
<div class="section" id="module-pyFTS.common.transformations.trend">
<span id="pyfts-common-transformations-trend-module"></span><h2>pyFTS.common.transformations.trend module<a class="headerlink" href="#module-pyFTS.common.transformations.trend" title="Permalink to this headline"></a></h2>
<dl class="py class">
<dt id="pyFTS.common.transformations.trend.LinearTrend">
<em class="property">class </em><code class="sig-prename descclassname">pyFTS.common.transformations.trend.</code><code class="sig-name descname">LinearTrend</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/common/transformations/trend.html#LinearTrend"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#pyFTS.common.transformations.trend.LinearTrend" title="Permalink to this definition"></a></dt>
<dd><p>Bases: <a class="reference internal" href="#pyFTS.common.transformations.transformation.Transformation" title="pyFTS.common.transformations.transformation.Transformation"><code class="xref py py-class docutils literal notranslate"><span class="pre">pyFTS.common.transformations.transformation.Transformation</span></code></a></p>
<p>Linear Trend. Estimate</p>
<p>y(t) = y(t) - (a*t+b)
y(t) = y(t) + (a*t+b)</p>
<dl class="py method">
<dt id="pyFTS.common.transformations.trend.LinearTrend.apply">
<code class="sig-name descname">apply</code><span class="sig-paren">(</span><em class="sig-param"><span class="n">data</span></em>, <em class="sig-param"><span class="n">param</span><span class="o">=</span><span class="default_value">None</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/common/transformations/trend.html#LinearTrend.apply"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#pyFTS.common.transformations.trend.LinearTrend.apply" title="Permalink to this definition"></a></dt>
<dd><p>Apply the transformation on 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>param</strong> </p></li>
<li><p><strong>kwargs</strong> </p></li>
</ul>
</dd>
<dt class="field-even">Returns</dt>
<dd class="field-even"><p>numpy array with transformed data</p>
</dd>
</dl>
</dd></dl>
<dl class="py attribute">
<dt id="pyFTS.common.transformations.trend.LinearTrend.data_field">
<code class="sig-name descname">data_field</code><a class="headerlink" href="#pyFTS.common.transformations.trend.LinearTrend.data_field" title="Permalink to this definition"></a></dt>
<dd><p>The Pandas Dataframe column to use as data</p>
</dd></dl>
<dl class="py attribute">
<dt id="pyFTS.common.transformations.trend.LinearTrend.datetime_mask">
<code class="sig-name descname">datetime_mask</code><a class="headerlink" href="#pyFTS.common.transformations.trend.LinearTrend.datetime_mask" title="Permalink to this definition"></a></dt>
<dd><p>The Pandas Dataframe mask for datetime indexes</p>
</dd></dl>
<dl class="py method">
<dt id="pyFTS.common.transformations.trend.LinearTrend.generate_indexes">
<code class="sig-name descname">generate_indexes</code><span class="sig-paren">(</span><em class="sig-param"><span class="n">data</span></em>, <em class="sig-param"><span class="n">value</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/common/transformations/trend.html#LinearTrend.generate_indexes"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#pyFTS.common.transformations.trend.LinearTrend.generate_indexes" title="Permalink to this definition"></a></dt>
<dd></dd></dl>
<dl class="py method">
<dt id="pyFTS.common.transformations.trend.LinearTrend.increment">
<code class="sig-name descname">increment</code><span class="sig-paren">(</span><em class="sig-param"><span class="n">value</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/common/transformations/trend.html#LinearTrend.increment"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#pyFTS.common.transformations.trend.LinearTrend.increment" title="Permalink to this definition"></a></dt>
<dd></dd></dl>
<dl class="py attribute">
<dt id="pyFTS.common.transformations.trend.LinearTrend.index_field">
<code class="sig-name descname">index_field</code><a class="headerlink" href="#pyFTS.common.transformations.trend.LinearTrend.index_field" title="Permalink to this definition"></a></dt>
<dd><p>The Pandas Dataframe column to use as index</p>
</dd></dl>
<dl class="py attribute">
<dt id="pyFTS.common.transformations.trend.LinearTrend.index_type">
<code class="sig-name descname">index_type</code><a class="headerlink" href="#pyFTS.common.transformations.trend.LinearTrend.index_type" title="Permalink to this definition"></a></dt>
<dd><p>The type of the time index used to train the regression coefficients. Available types are: field, datetime</p>
</dd></dl>
<dl class="py method">
<dt id="pyFTS.common.transformations.trend.LinearTrend.inverse">
<code class="sig-name descname">inverse</code><span class="sig-paren">(</span><em class="sig-param"><span class="n">data</span></em>, <em class="sig-param"><span class="n">param</span><span class="o">=</span><span class="default_value">None</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/common/transformations/trend.html#LinearTrend.inverse"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#pyFTS.common.transformations.trend.LinearTrend.inverse" title="Permalink to this definition"></a></dt>
<dd><dl class="field-list simple">
<dt class="field-odd">Parameters</dt>
<dd class="field-odd"><ul class="simple">
<li><p><strong>data</strong> transformed data</p></li>
<li><p><strong>param</strong> </p></li>
<li><p><strong>kwargs</strong> </p></li>
</ul>
</dd>
<dt class="field-even">Returns</dt>
<dd class="field-even"><p>numpy array with inverse transformed data</p>
</dd>
</dl>
</dd></dl>
<dl class="py attribute">
<dt id="pyFTS.common.transformations.trend.LinearTrend.model">
<code class="sig-name descname">model</code><a class="headerlink" href="#pyFTS.common.transformations.trend.LinearTrend.model" title="Permalink to this definition"></a></dt>
<dd><p>Regression model</p>
</dd></dl>
<dl class="py method">
<dt id="pyFTS.common.transformations.trend.LinearTrend.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/common/transformations/trend.html#LinearTrend.train"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#pyFTS.common.transformations.trend.LinearTrend.train" title="Permalink to this definition"></a></dt>
<dd></dd></dl>
<dl class="py method">
<dt id="pyFTS.common.transformations.trend.LinearTrend.trend">
<code class="sig-name descname">trend</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/common/transformations/trend.html#LinearTrend.trend"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#pyFTS.common.transformations.trend.LinearTrend.trend" title="Permalink to this definition"></a></dt>
<dd></dd></dl>
</dd></dl>
2021-01-13 00:40:50 +04:00
</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.common.transformations package</a><ul>
2021-01-13 03:05:34 +04:00
<li><a class="reference internal" href="#module-pyFTS.common.transformations">Module contents</a></li>
2021-01-13 00:40:50 +04:00
<li><a class="reference internal" href="#submodules">Submodules</a></li>
<li><a class="reference internal" href="#pyfts-common-transformations-adapativeexpectation-module">pyFTS.common.transformations.adapativeexpectation module</a></li>
2021-01-13 03:05:34 +04:00
<li><a class="reference internal" href="#module-pyFTS.common.transformations.boxcox">pyFTS.common.transformations.boxcox module</a></li>
<li><a class="reference internal" href="#module-pyFTS.common.transformations.differential">pyFTS.common.transformations.differential module</a></li>
<li><a class="reference internal" href="#module-pyFTS.common.transformations.normalization">pyFTS.common.transformations.normalization module</a></li>
<li><a class="reference internal" href="#module-pyFTS.common.transformations.roi">pyFTS.common.transformations.roi module</a></li>
<li><a class="reference internal" href="#module-pyFTS.common.transformations.scale">pyFTS.common.transformations.scale module</a></li>
<li><a class="reference internal" href="#module-pyFTS.common.transformations.smoothing">pyFTS.common.transformations.smoothing module</a></li>
2021-01-13 03:10:49 +04:00
<li><a class="reference internal" href="#module-pyFTS.common.transformations.som">pyFTS.common.transformations.som module</a></li>
2021-01-13 03:05:34 +04:00
<li><a class="reference internal" href="#module-pyFTS.common.transformations.transformation">pyFTS.common.transformations.transformation module</a></li>
<li><a class="reference internal" href="#module-pyFTS.common.transformations.trend">pyFTS.common.transformations.trend module</a></li>
2021-01-13 00:40:50 +04:00
</ul>
</li>
</ul>
<h4>Previous topic</h4>
<p class="topless"><a href="pyFTS.common.html"
title="previous chapter">pyFTS.common package</a></p>
<h4>Next topic</h4>
<p class="topless"><a href="pyFTS.data.html"
title="next chapter">pyFTS.data package</a></p>
<div role="note" aria-label="source link">
<h3>This Page</h3>
<ul class="this-page-menu">
<li><a href="_sources/pyFTS.common.transformations.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.data.html" title="pyFTS.data package"
>next</a> |</li>
<li class="right" >
<a href="pyFTS.common.html" title="pyFTS.common 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-this"><a href="">pyFTS.common.transformations 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>