<!doctype html> <html xmlns="http://www.w3.org/1999/xhtml"> <head> <meta http-equiv="X-UA-Compatible" content="IE=Edge" /> <meta http-equiv="Content-Type" content="text/html; charset=utf-8" /><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.probabilistic package — pyFTS 1.2.3 documentation</title> <link rel="stylesheet" href="_static/bizstyle.css" type="text/css" /> <link rel="stylesheet" href="_static/pygments.css" type="text/css" /> <script type="text/javascript" src="_static/documentation_options.js"></script> <script type="text/javascript" src="_static/jquery.js"></script> <script type="text/javascript" src="_static/underscore.js"></script> <script type="text/javascript" src="_static/doctools.js"></script> <script type="text/javascript" src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.1/MathJax.js?config=TeX-AMS-MML_HTMLorMML"></script> <script type="text/javascript" src="_static/bizstyle.js"></script> <link rel="index" title="Index" href="genindex.html" /> <link rel="search" title="Search" href="search.html" /> <link rel="prev" title="pyFTS.partitioners package" href="pyFTS.partitioners.html" /> <meta name="viewport" content="width=device-width,initial-scale=1.0"> <!--[if lt IE 9]> <script type="text/javascript" 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.partitioners.html" title="pyFTS.partitioners package" accesskey="P">previous</a> |</li> <li class="nav-item nav-item-0"><a href="index.html">pyFTS 1.2.3 documentation</a> »</li> <li class="nav-item nav-item-1"><a href="modules.html" >pyFTS</a> »</li> <li class="nav-item nav-item-2"><a href="pyFTS.html" accesskey="U">pyFTS package</a> »</li> </ul> </div> <div class="sphinxsidebar" role="navigation" aria-label="main navigation"> <div class="sphinxsidebarwrapper"> <p class="logo"><a href="index.html"> <img class="logo" src="_static/logo_heading2.png" alt="Logo"/> </a></p> <h3><a href="index.html">Table Of Contents</a></h3> <ul> <li><a class="reference internal" href="#">pyFTS.probabilistic package</a><ul> <li><a class="reference internal" href="#module-pyFTS.probabilistic">Module contents</a></li> <li><a class="reference internal" href="#submodules">Submodules</a></li> <li><a class="reference internal" href="#module-pyFTS.probabilistic.ProbabilityDistribution">pyFTS.probabilistic.ProbabilityDistribution module</a></li> <li><a class="reference internal" href="#module-pyFTS.probabilistic.kde">pyFTS.probabilistic.kde module</a></li> </ul> </li> </ul> <h4>Previous topic</h4> <p class="topless"><a href="pyFTS.partitioners.html" title="previous chapter">pyFTS.partitioners package</a></p> <div role="note" aria-label="source link"> <h3>This Page</h3> <ul class="this-page-menu"> <li><a href="_sources/pyFTS.probabilistic.rst.txt" rel="nofollow">Show Source</a></li> </ul> </div> <div id="searchbox" style="display: none" role="search"> <h3>Quick search</h3> <div class="searchformwrapper"> <form class="search" action="search.html" method="get"> <input type="text" name="q" /> <input type="submit" value="Go" /> <input type="hidden" name="check_keywords" value="yes" /> <input type="hidden" name="area" value="default" /> </form> </div> </div> <script type="text/javascript">$('#searchbox').show(0);</script> </div> </div> <div class="document"> <div class="documentwrapper"> <div class="bodywrapper"> <div class="body" role="main"> <div class="section" id="pyfts-probabilistic-package"> <h1>pyFTS.probabilistic package<a class="headerlink" href="#pyfts-probabilistic-package" title="Permalink to this headline">¶</a></h1> <div class="section" id="module-pyFTS.probabilistic"> <span id="module-contents"></span><h2>Module contents<a class="headerlink" href="#module-pyFTS.probabilistic" title="Permalink to this headline">¶</a></h2> <p>Probability Distribution objects</p> </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="module-pyFTS.probabilistic.ProbabilityDistribution"> <span id="pyfts-probabilistic-probabilitydistribution-module"></span><h2>pyFTS.probabilistic.ProbabilityDistribution module<a class="headerlink" href="#module-pyFTS.probabilistic.ProbabilityDistribution" title="Permalink to this headline">¶</a></h2> <dl class="class"> <dt id="pyFTS.probabilistic.ProbabilityDistribution.ProbabilityDistribution"> <em class="property">class </em><code class="descclassname">pyFTS.probabilistic.ProbabilityDistribution.</code><code class="descname">ProbabilityDistribution</code><span class="sig-paren">(</span><em>type='KDE'</em>, <em>**kwargs</em><span class="sig-paren">)</span><a class="reference internal" href="_modules/pyFTS/probabilistic/ProbabilityDistribution.html#ProbabilityDistribution"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#pyFTS.probabilistic.ProbabilityDistribution.ProbabilityDistribution" 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 v3.7)"><code class="xref py py-class docutils literal notranslate"><span class="pre">object</span></code></a></p> <p>Represents a discrete or continous probability distribution If type is histogram, the PDF is discrete If type is KDE the PDF is continuous</p> <dl class="method"> <dt id="pyFTS.probabilistic.ProbabilityDistribution.ProbabilityDistribution.append"> <code class="descname">append</code><span class="sig-paren">(</span><em>values</em><span class="sig-paren">)</span><a class="reference internal" href="_modules/pyFTS/probabilistic/ProbabilityDistribution.html#ProbabilityDistribution.append"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#pyFTS.probabilistic.ProbabilityDistribution.ProbabilityDistribution.append" title="Permalink to this definition">¶</a></dt> <dd><p>Increment the frequency count for the values</p> <table class="docutils field-list" frame="void" rules="none"> <col class="field-name" /> <col class="field-body" /> <tbody valign="top"> <tr class="field-odd field"><th class="field-name">Parameters:</th><td class="field-body"><strong>values</strong> – A list of values to account the frequency</td> </tr> </tbody> </table> </dd></dl> <dl class="method"> <dt id="pyFTS.probabilistic.ProbabilityDistribution.ProbabilityDistribution.append_interval"> <code class="descname">append_interval</code><span class="sig-paren">(</span><em>intervals</em><span class="sig-paren">)</span><a class="reference internal" href="_modules/pyFTS/probabilistic/ProbabilityDistribution.html#ProbabilityDistribution.append_interval"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#pyFTS.probabilistic.ProbabilityDistribution.ProbabilityDistribution.append_interval" title="Permalink to this definition">¶</a></dt> <dd><p>Increment the frequency count for all values inside an interval</p> <table class="docutils field-list" frame="void" rules="none"> <col class="field-name" /> <col class="field-body" /> <tbody valign="top"> <tr class="field-odd field"><th class="field-name">Parameters:</th><td class="field-body"><strong>intervals</strong> – A list of intervals do increment the frequency</td> </tr> </tbody> </table> </dd></dl> <dl class="method"> <dt id="pyFTS.probabilistic.ProbabilityDistribution.ProbabilityDistribution.averageloglikelihood"> <code class="descname">averageloglikelihood</code><span class="sig-paren">(</span><em>data</em><span class="sig-paren">)</span><a class="reference internal" href="_modules/pyFTS/probabilistic/ProbabilityDistribution.html#ProbabilityDistribution.averageloglikelihood"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#pyFTS.probabilistic.ProbabilityDistribution.ProbabilityDistribution.averageloglikelihood" title="Permalink to this definition">¶</a></dt> <dd><p>Average log likelihood of the probability distribution with respect to data</p> <table class="docutils field-list" frame="void" rules="none"> <col class="field-name" /> <col class="field-body" /> <tbody valign="top"> <tr class="field-odd field"><th class="field-name">Parameters:</th><td class="field-body"><strong>data</strong> – </td> </tr> <tr class="field-even field"><th class="field-name">Returns:</th><td class="field-body"></td> </tr> </tbody> </table> </dd></dl> <dl class="attribute"> <dt id="pyFTS.probabilistic.ProbabilityDistribution.ProbabilityDistribution.bins"> <code class="descname">bins</code><em class="property"> = None</em><a class="headerlink" href="#pyFTS.probabilistic.ProbabilityDistribution.ProbabilityDistribution.bins" title="Permalink to this definition">¶</a></dt> <dd><p>Number of bins on a discrete PDF</p> </dd></dl> <dl class="method"> <dt id="pyFTS.probabilistic.ProbabilityDistribution.ProbabilityDistribution.build_cdf_qtl"> <code class="descname">build_cdf_qtl</code><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="reference internal" href="_modules/pyFTS/probabilistic/ProbabilityDistribution.html#ProbabilityDistribution.build_cdf_qtl"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#pyFTS.probabilistic.ProbabilityDistribution.ProbabilityDistribution.build_cdf_qtl" title="Permalink to this definition">¶</a></dt> <dd></dd></dl> <dl class="method"> <dt id="pyFTS.probabilistic.ProbabilityDistribution.ProbabilityDistribution.crossentropy"> <code class="descname">crossentropy</code><span class="sig-paren">(</span><em>q</em><span class="sig-paren">)</span><a class="reference internal" href="_modules/pyFTS/probabilistic/ProbabilityDistribution.html#ProbabilityDistribution.crossentropy"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#pyFTS.probabilistic.ProbabilityDistribution.ProbabilityDistribution.crossentropy" title="Permalink to this definition">¶</a></dt> <dd><p>Cross entropy between the actual probability distribution and the informed one.</p> <table class="docutils field-list" frame="void" rules="none"> <col class="field-name" /> <col class="field-body" /> <tbody valign="top"> <tr class="field-odd field"><th class="field-name">Parameters:</th><td class="field-body"><strong>q</strong> – a probabilistic.ProbabilityDistribution object</td> </tr> <tr class="field-even field"><th class="field-name">Returns:</th><td class="field-body">Cross entropy between this probability distribution and the given distribution</td> </tr> </tbody> </table> </dd></dl> <dl class="method"> <dt id="pyFTS.probabilistic.ProbabilityDistribution.ProbabilityDistribution.cumulative"> <code class="descname">cumulative</code><span class="sig-paren">(</span><em>values</em><span class="sig-paren">)</span><a class="reference internal" href="_modules/pyFTS/probabilistic/ProbabilityDistribution.html#ProbabilityDistribution.cumulative"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#pyFTS.probabilistic.ProbabilityDistribution.ProbabilityDistribution.cumulative" title="Permalink to this definition">¶</a></dt> <dd><p>Return the cumulative probability densities for the input values</p> <table class="docutils field-list" frame="void" rules="none"> <col class="field-name" /> <col class="field-body" /> <tbody valign="top"> <tr class="field-odd field"><th class="field-name">Parameters:</th><td class="field-body"><strong>values</strong> – A list of input values</td> </tr> <tr class="field-even field"><th class="field-name">Returns:</th><td class="field-body">The cumulative probability densities for the input values</td> </tr> </tbody> </table> </dd></dl> <dl class="method"> <dt id="pyFTS.probabilistic.ProbabilityDistribution.ProbabilityDistribution.density"> <code class="descname">density</code><span class="sig-paren">(</span><em>values</em><span class="sig-paren">)</span><a class="reference internal" href="_modules/pyFTS/probabilistic/ProbabilityDistribution.html#ProbabilityDistribution.density"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#pyFTS.probabilistic.ProbabilityDistribution.ProbabilityDistribution.density" title="Permalink to this definition">¶</a></dt> <dd><p>Return the probability densities for the input values</p> <table class="docutils field-list" frame="void" rules="none"> <col class="field-name" /> <col class="field-body" /> <tbody valign="top"> <tr class="field-odd field"><th class="field-name">Parameters:</th><td class="field-body"><strong>values</strong> – List of values to return the densities</td> </tr> <tr class="field-even field"><th class="field-name">Returns:</th><td class="field-body">List of probability densities for the input values</td> </tr> </tbody> </table> </dd></dl> <dl class="method"> <dt id="pyFTS.probabilistic.ProbabilityDistribution.ProbabilityDistribution.differential_offset"> <code class="descname">differential_offset</code><span class="sig-paren">(</span><em>value</em><span class="sig-paren">)</span><a class="reference internal" href="_modules/pyFTS/probabilistic/ProbabilityDistribution.html#ProbabilityDistribution.differential_offset"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#pyFTS.probabilistic.ProbabilityDistribution.ProbabilityDistribution.differential_offset" title="Permalink to this definition">¶</a></dt> <dd><p>Auxiliary function for probability distributions of differentiated data</p> <table class="docutils field-list" frame="void" rules="none"> <col class="field-name" /> <col class="field-body" /> <tbody valign="top"> <tr class="field-odd field"><th class="field-name">Parameters:</th><td class="field-body"><strong>value</strong> – </td> </tr> <tr class="field-even field"><th class="field-name">Returns:</th><td class="field-body"></td> </tr> </tbody> </table> </dd></dl> <dl class="method"> <dt id="pyFTS.probabilistic.ProbabilityDistribution.ProbabilityDistribution.empiricalloglikelihood"> <code class="descname">empiricalloglikelihood</code><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="reference internal" href="_modules/pyFTS/probabilistic/ProbabilityDistribution.html#ProbabilityDistribution.empiricalloglikelihood"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#pyFTS.probabilistic.ProbabilityDistribution.ProbabilityDistribution.empiricalloglikelihood" title="Permalink to this definition">¶</a></dt> <dd><p>Empirical Log Likelihood of the probability distribution</p> <table class="docutils field-list" frame="void" rules="none"> <col class="field-name" /> <col class="field-body" /> <tbody valign="top"> <tr class="field-odd field"><th class="field-name">Returns:</th><td class="field-body"></td> </tr> </tbody> </table> </dd></dl> <dl class="method"> <dt id="pyFTS.probabilistic.ProbabilityDistribution.ProbabilityDistribution.entropy"> <code class="descname">entropy</code><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="reference internal" href="_modules/pyFTS/probabilistic/ProbabilityDistribution.html#ProbabilityDistribution.entropy"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#pyFTS.probabilistic.ProbabilityDistribution.ProbabilityDistribution.entropy" title="Permalink to this definition">¶</a></dt> <dd><p>Return the entropy of the probability distribution, H[X] =</p> <p>:return:the entropy of the probability distribution</p> </dd></dl> <dl class="method"> <dt id="pyFTS.probabilistic.ProbabilityDistribution.ProbabilityDistribution.expected_value"> <code class="descname">expected_value</code><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="reference internal" href="_modules/pyFTS/probabilistic/ProbabilityDistribution.html#ProbabilityDistribution.expected_value"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#pyFTS.probabilistic.ProbabilityDistribution.ProbabilityDistribution.expected_value" title="Permalink to this definition">¶</a></dt> <dd><p>Return the expected value of the distribution, as E[X] = ∑ x * P(x)</p> <table class="docutils field-list" frame="void" rules="none"> <col class="field-name" /> <col class="field-body" /> <tbody valign="top"> <tr class="field-odd field"><th class="field-name">Returns:</th><td class="field-body">The expected value of the distribution</td> </tr> </tbody> </table> </dd></dl> <dl class="method"> <dt id="pyFTS.probabilistic.ProbabilityDistribution.ProbabilityDistribution.kullbackleiblerdivergence"> <code class="descname">kullbackleiblerdivergence</code><span class="sig-paren">(</span><em>q</em><span class="sig-paren">)</span><a class="reference internal" href="_modules/pyFTS/probabilistic/ProbabilityDistribution.html#ProbabilityDistribution.kullbackleiblerdivergence"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#pyFTS.probabilistic.ProbabilityDistribution.ProbabilityDistribution.kullbackleiblerdivergence" title="Permalink to this definition">¶</a></dt> <dd><p>Kullback-Leibler divergence between the actual probability distribution and the informed one.</p> <table class="docutils field-list" frame="void" rules="none"> <col class="field-name" /> <col class="field-body" /> <tbody valign="top"> <tr class="field-odd field"><th class="field-name">Parameters:</th><td class="field-body"><strong>q</strong> – a probabilistic.ProbabilityDistribution object</td> </tr> <tr class="field-even field"><th class="field-name">Returns:</th><td class="field-body">Kullback-Leibler divergence</td> </tr> </tbody> </table> </dd></dl> <dl class="attribute"> <dt id="pyFTS.probabilistic.ProbabilityDistribution.ProbabilityDistribution.labels"> <code class="descname">labels</code><em class="property"> = None</em><a class="headerlink" href="#pyFTS.probabilistic.ProbabilityDistribution.ProbabilityDistribution.labels" title="Permalink to this definition">¶</a></dt> <dd><p>Bins labels on a discrete PDF</p> </dd></dl> <dl class="method"> <dt id="pyFTS.probabilistic.ProbabilityDistribution.ProbabilityDistribution.plot"> <code class="descname">plot</code><span class="sig-paren">(</span><em>axis=None, color='black', tam=[10, 6], title=None</em><span class="sig-paren">)</span><a class="reference internal" href="_modules/pyFTS/probabilistic/ProbabilityDistribution.html#ProbabilityDistribution.plot"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#pyFTS.probabilistic.ProbabilityDistribution.ProbabilityDistribution.plot" title="Permalink to this definition">¶</a></dt> <dd></dd></dl> <dl class="method"> <dt id="pyFTS.probabilistic.ProbabilityDistribution.ProbabilityDistribution.pseudologlikelihood"> <code class="descname">pseudologlikelihood</code><span class="sig-paren">(</span><em>data</em><span class="sig-paren">)</span><a class="reference internal" href="_modules/pyFTS/probabilistic/ProbabilityDistribution.html#ProbabilityDistribution.pseudologlikelihood"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#pyFTS.probabilistic.ProbabilityDistribution.ProbabilityDistribution.pseudologlikelihood" title="Permalink to this definition">¶</a></dt> <dd><p>Pseudo log likelihood of the probability distribution with respect to data</p> <table class="docutils field-list" frame="void" rules="none"> <col class="field-name" /> <col class="field-body" /> <tbody valign="top"> <tr class="field-odd field"><th class="field-name">Parameters:</th><td class="field-body"><strong>data</strong> – </td> </tr> <tr class="field-even field"><th class="field-name">Returns:</th><td class="field-body"></td> </tr> </tbody> </table> </dd></dl> <dl class="method"> <dt id="pyFTS.probabilistic.ProbabilityDistribution.ProbabilityDistribution.quantile"> <code class="descname">quantile</code><span class="sig-paren">(</span><em>values</em><span class="sig-paren">)</span><a class="reference internal" href="_modules/pyFTS/probabilistic/ProbabilityDistribution.html#ProbabilityDistribution.quantile"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#pyFTS.probabilistic.ProbabilityDistribution.ProbabilityDistribution.quantile" title="Permalink to this definition">¶</a></dt> <dd><p>Return the quantile values for the input values</p> <table class="docutils field-list" frame="void" rules="none"> <col class="field-name" /> <col class="field-body" /> <tbody valign="top"> <tr class="field-odd field"><th class="field-name">Parameters:</th><td class="field-body"><strong>values</strong> – input values</td> </tr> <tr class="field-even field"><th class="field-name">Returns:</th><td class="field-body">The list of the quantile values for the input values</td> </tr> </tbody> </table> </dd></dl> <dl class="method"> <dt id="pyFTS.probabilistic.ProbabilityDistribution.ProbabilityDistribution.set"> <code class="descname">set</code><span class="sig-paren">(</span><em>value</em>, <em>density</em><span class="sig-paren">)</span><a class="reference internal" href="_modules/pyFTS/probabilistic/ProbabilityDistribution.html#ProbabilityDistribution.set"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#pyFTS.probabilistic.ProbabilityDistribution.ProbabilityDistribution.set" title="Permalink to this definition">¶</a></dt> <dd><p>Assert a probability ‘density’ for a certain value ‘value’, such that P(value) = density</p> <table class="docutils field-list" frame="void" rules="none"> <col class="field-name" /> <col class="field-body" /> <tbody valign="top"> <tr class="field-odd field"><th class="field-name">Parameters:</th><td class="field-body"><ul class="first last simple"> <li><strong>value</strong> – A value in the universe of discourse from the distribution</li> <li><strong>density</strong> – The probability density to assign to the value</li> </ul> </td> </tr> </tbody> </table> </dd></dl> <dl class="attribute"> <dt id="pyFTS.probabilistic.ProbabilityDistribution.ProbabilityDistribution.type"> <code class="descname">type</code><em class="property"> = None</em><a class="headerlink" href="#pyFTS.probabilistic.ProbabilityDistribution.ProbabilityDistribution.type" title="Permalink to this definition">¶</a></dt> <dd><p>If type is histogram, the PDF is discrete If type is KDE the PDF is continuous</p> </dd></dl> <dl class="attribute"> <dt id="pyFTS.probabilistic.ProbabilityDistribution.ProbabilityDistribution.uod"> <code class="descname">uod</code><em class="property"> = None</em><a class="headerlink" href="#pyFTS.probabilistic.ProbabilityDistribution.ProbabilityDistribution.uod" title="Permalink to this definition">¶</a></dt> <dd><p>Universe of discourse</p> </dd></dl> </dd></dl> </div> <div class="section" id="module-pyFTS.probabilistic.kde"> <span id="pyfts-probabilistic-kde-module"></span><h2>pyFTS.probabilistic.kde module<a class="headerlink" href="#module-pyFTS.probabilistic.kde" title="Permalink to this headline">¶</a></h2> <p>Kernel Density Estimation</p> <dl class="class"> <dt id="pyFTS.probabilistic.kde.KernelSmoothing"> <em class="property">class </em><code class="descclassname">pyFTS.probabilistic.kde.</code><code class="descname">KernelSmoothing</code><span class="sig-paren">(</span><em>h</em>, <em>kernel='epanechnikov'</em><span class="sig-paren">)</span><a class="reference internal" href="_modules/pyFTS/probabilistic/kde.html#KernelSmoothing"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#pyFTS.probabilistic.kde.KernelSmoothing" 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 v3.7)"><code class="xref py py-class docutils literal notranslate"><span class="pre">object</span></code></a></p> <p>Kernel Density Estimation</p> <dl class="attribute"> <dt id="pyFTS.probabilistic.kde.KernelSmoothing.h"> <code class="descname">h</code><em class="property"> = None</em><a class="headerlink" href="#pyFTS.probabilistic.kde.KernelSmoothing.h" title="Permalink to this definition">¶</a></dt> <dd><p>Width parameter</p> </dd></dl> <dl class="attribute"> <dt id="pyFTS.probabilistic.kde.KernelSmoothing.kernel"> <code class="descname">kernel</code><em class="property"> = None</em><a class="headerlink" href="#pyFTS.probabilistic.kde.KernelSmoothing.kernel" title="Permalink to this definition">¶</a></dt> <dd><p>Kernel function</p> </dd></dl> <dl class="method"> <dt id="pyFTS.probabilistic.kde.KernelSmoothing.kernel_function"> <code class="descname">kernel_function</code><span class="sig-paren">(</span><em>u</em><span class="sig-paren">)</span><a class="reference internal" href="_modules/pyFTS/probabilistic/kde.html#KernelSmoothing.kernel_function"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#pyFTS.probabilistic.kde.KernelSmoothing.kernel_function" title="Permalink to this definition">¶</a></dt> <dd><p>Apply the kernel</p> <table class="docutils field-list" frame="void" rules="none"> <col class="field-name" /> <col class="field-body" /> <tbody valign="top"> <tr class="field-odd field"><th class="field-name">Parameters:</th><td class="field-body"><strong>u</strong> – </td> </tr> <tr class="field-even field"><th class="field-name">Returns:</th><td class="field-body"></td> </tr> </tbody> </table> </dd></dl> <dl class="method"> <dt id="pyFTS.probabilistic.kde.KernelSmoothing.probability"> <code class="descname">probability</code><span class="sig-paren">(</span><em>x</em>, <em>data</em><span class="sig-paren">)</span><a class="reference internal" href="_modules/pyFTS/probabilistic/kde.html#KernelSmoothing.probability"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#pyFTS.probabilistic.kde.KernelSmoothing.probability" title="Permalink to this definition">¶</a></dt> <dd><p>Probability of the point x on data</p> <table class="docutils field-list" frame="void" rules="none"> <col class="field-name" /> <col class="field-body" /> <tbody valign="top"> <tr class="field-odd field"><th class="field-name">Parameters:</th><td class="field-body"><ul class="first simple"> <li><strong>x</strong> – </li> <li><strong>data</strong> – </li> </ul> </td> </tr> <tr class="field-even field"><th class="field-name">Returns:</th><td class="field-body"><p class="first last"></p> </td> </tr> </tbody> </table> </dd></dl> </dd></dl> </div> </div> </div> </div> </div> <div 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