<!doctype html> <html> <head> <meta charset="utf-8" /> <meta name="viewport" content="width=device-width, initial-scale=1.0" /><meta name="generator" content="Docutils 0.17.1: http://docutils.sourceforge.net/" /> <title>pyFTS.partitioners package — pyFTS 1.7 documentation</title> <link rel="stylesheet" type="text/css" href="_static/pygments.css" /> <link rel="stylesheet" type="text/css" href="_static/bizstyle.css" /> <script data-url_root="./" id="documentation_options" 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/bizstyle.js"></script> <link rel="index" title="Index" href="genindex.html" /> <link rel="search" title="Search" href="search.html" /> <link rel="next" title="pyFTS.probabilistic package" href="pyFTS.probabilistic.html" /> <link rel="prev" title="pyFTS.models.seasonal package" href="pyFTS.models.seasonal.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.probabilistic.html" title="pyFTS.probabilistic package" accesskey="N">next</a> |</li> <li class="right" > <a href="pyFTS.models.seasonal.html" title="pyFTS.models.seasonal package" accesskey="P">previous</a> |</li> <li class="nav-item nav-item-0"><a href="index.html">pyFTS 1.7 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> <li class="nav-item nav-item-this"><a href="">pyFTS.partitioners package</a></li> </ul> </div> <div class="document"> <div class="documentwrapper"> <div class="bodywrapper"> <div class="body" role="main"> <section id="pyfts-partitioners-package"> <h1>pyFTS.partitioners package<a class="headerlink" href="#pyfts-partitioners-package" title="Permalink to this headline">¶</a></h1> <section id="module-pyFTS.partitioners"> <span id="module-contents"></span><h2>Module contents<a class="headerlink" href="#module-pyFTS.partitioners" title="Permalink to this headline">¶</a></h2> <p>Module for pyFTS Universe of Discourse partitioners.</p> </section> <section id="submodules"> <h2>Submodules<a class="headerlink" href="#submodules" title="Permalink to this headline">¶</a></h2> </section> <section id="module-pyFTS.partitioners.partitioner"> <span id="pyfts-partitioners-partitioner-module"></span><h2>pyFTS.partitioners.partitioner module<a class="headerlink" href="#module-pyFTS.partitioners.partitioner" title="Permalink to this headline">¶</a></h2> <dl class="py class"> <dt class="sig sig-object py" id="pyFTS.partitioners.partitioner.Partitioner"> <em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">pyFTS.partitioners.partitioner.</span></span><span class="sig-name descname"><span class="pre">Partitioner</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="o"><span class="pre">**</span></span><span class="n"><span class="pre">kwargs</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/pyFTS/partitioners/partitioner.html#Partitioner"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#pyFTS.partitioners.partitioner.Partitioner" 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 v3.11)"><code class="xref py py-class docutils literal notranslate"><span class="pre">object</span></code></a></p> <p>Universe of Discourse partitioner. Split data on several fuzzy sets</p> <dl class="py method"> <dt class="sig sig-object py" id="pyFTS.partitioners.partitioner.Partitioner.build"> <span class="sig-name descname"><span class="pre">build</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">data</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/pyFTS/partitioners/partitioner.html#Partitioner.build"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#pyFTS.partitioners.partitioner.Partitioner.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 class="sig sig-object py" id="pyFTS.partitioners.partitioner.Partitioner.build_index"> <span class="sig-name descname"><span class="pre">build_index</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="reference internal" href="_modules/pyFTS/partitioners/partitioner.html#Partitioner.build_index"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#pyFTS.partitioners.partitioner.Partitioner.build_index" title="Permalink to this definition">¶</a></dt> <dd></dd></dl> <dl class="py method"> <dt class="sig sig-object py" id="pyFTS.partitioners.partitioner.Partitioner.check_bounds"> <span class="sig-name descname"><span class="pre">check_bounds</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">data</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/pyFTS/partitioners/partitioner.html#Partitioner.check_bounds"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#pyFTS.partitioners.partitioner.Partitioner.check_bounds" title="Permalink to this definition">¶</a></dt> <dd><p>Check if the input data is outside the known Universe of Discourse and, if it is, round it to the closest fuzzy set.</p> <dl class="field-list simple"> <dt class="field-odd">Parameters</dt> <dd class="field-odd"><p><strong>data</strong> – input data to be verified</p> </dd> <dt class="field-even">Returns</dt> <dd class="field-even"><p>the index of the closest fuzzy set when data is outside de universe of discourse or None if</p> </dd> </dl> <p>the data is inside the UoD.</p> </dd></dl> <dl class="py method"> <dt class="sig sig-object py" id="pyFTS.partitioners.partitioner.Partitioner.defuzzyfy"> <span class="sig-name descname"><span class="pre">defuzzyfy</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">values</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">mode</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'both'</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/pyFTS/partitioners/partitioner.html#Partitioner.defuzzyfy"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#pyFTS.partitioners.partitioner.Partitioner.defuzzyfy" title="Permalink to this definition">¶</a></dt> <dd></dd></dl> <dl class="py method"> <dt class="sig sig-object py" id="pyFTS.partitioners.partitioner.Partitioner.extractor"> <span class="sig-name descname"><span class="pre">extractor</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">x</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/pyFTS/partitioners/partitioner.html#Partitioner.extractor"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#pyFTS.partitioners.partitioner.Partitioner.extractor" title="Permalink to this definition">¶</a></dt> <dd><p>Extract a single primitive type from an structured instance</p> </dd></dl> <dl class="py method"> <dt class="sig sig-object py" id="pyFTS.partitioners.partitioner.Partitioner.fuzzyfy"> <span class="sig-name descname"><span class="pre">fuzzyfy</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">data</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">**</span></span><span class="n"><span class="pre">kwargs</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/pyFTS/partitioners/partitioner.html#Partitioner.fuzzyfy"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#pyFTS.partitioners.partitioner.Partitioner.fuzzyfy" title="Permalink to this definition">¶</a></dt> <dd><p>Fuzzyfy the input data according to this partitioner fuzzy sets.</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 value to be fuzzyfied</p></li> <li><p><strong>alpha_cut</strong> – the minimal membership value to be considered on fuzzyfication (only for mode=’sets’)</p></li> <li><p><strong>method</strong> – the fuzzyfication method (fuzzy: all fuzzy memberships, maximum: only the maximum membership)</p></li> <li><p><strong>mode</strong> – the fuzzyfication mode (sets: return the fuzzy sets names, vector: return a vector with the membership</p></li> </ul> </dd> </dl> <p>values for all fuzzy sets, both: return a list with tuples (fuzzy set, membership value) )</p> <p>:returns a list with the fuzzyfied values, depending on the mode</p> </dd></dl> <dl class="py method"> <dt class="sig sig-object py" id="pyFTS.partitioners.partitioner.Partitioner.get_name"> <span class="sig-name descname"><span class="pre">get_name</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">counter</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/pyFTS/partitioners/partitioner.html#Partitioner.get_name"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#pyFTS.partitioners.partitioner.Partitioner.get_name" title="Permalink to this definition">¶</a></dt> <dd><p>Find the name of the fuzzy set given its counter id.</p> <dl class="field-list simple"> <dt class="field-odd">Parameters</dt> <dd class="field-odd"><p><strong>counter</strong> – The number of the fuzzy set</p> </dd> <dt class="field-even">Returns</dt> <dd class="field-even"><p>String</p> </dd> </dl> </dd></dl> <dl class="py attribute"> <dt class="sig sig-object py" id="pyFTS.partitioners.partitioner.Partitioner.kdtree"> <span class="sig-name descname"><span class="pre">kdtree</span></span><em class="property"><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="pre">scipy.spatial._kdtree.KDTree</span></em><a class="headerlink" href="#pyFTS.partitioners.partitioner.Partitioner.kdtree" title="Permalink to this definition">¶</a></dt> <dd><p>A spatial index to help in fuzzyfication</p> </dd></dl> <dl class="py attribute"> <dt class="sig sig-object py" id="pyFTS.partitioners.partitioner.Partitioner.lower_margin"> <span class="sig-name descname"><span class="pre">lower_margin</span></span><em class="property"><span class="p"><span class="pre">:</span></span><span class="w"> </span><a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.11)"><span class="pre">float</span></a></em><a class="headerlink" href="#pyFTS.partitioners.partitioner.Partitioner.lower_margin" title="Permalink to this definition">¶</a></dt> <dd><p>Specific lower exceeding margins for the known UoD. The default value is the self.margin parameter</p> </dd></dl> <dl class="py method"> <dt class="sig sig-object py" id="pyFTS.partitioners.partitioner.Partitioner.lower_set"> <span class="sig-name descname"><span class="pre">lower_set</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="reference internal" href="_modules/pyFTS/partitioners/partitioner.html#Partitioner.lower_set"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#pyFTS.partitioners.partitioner.Partitioner.lower_set" title="Permalink to this definition">¶</a></dt> <dd><p>Return the fuzzy set on lower bound of the universe of discourse.</p> <dl class="field-list simple"> <dt class="field-odd">Returns</dt> <dd class="field-odd"><p>Fuzzy Set</p> </dd> </dl> </dd></dl> <dl class="py attribute"> <dt class="sig sig-object py" id="pyFTS.partitioners.partitioner.Partitioner.margin"> <span class="sig-name descname"><span class="pre">margin</span></span><em class="property"><span class="p"><span class="pre">:</span></span><span class="w"> </span><a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.11)"><span class="pre">float</span></a></em><a class="headerlink" href="#pyFTS.partitioners.partitioner.Partitioner.margin" title="Permalink to this definition">¶</a></dt> <dd><p>The upper and lower exceeding margins for the known UoD. The default value is .1</p> </dd></dl> <dl class="py attribute"> <dt class="sig sig-object py" id="pyFTS.partitioners.partitioner.Partitioner.membership_function"> <span class="sig-name descname"><span class="pre">membership_function</span></span><a class="headerlink" href="#pyFTS.partitioners.partitioner.Partitioner.membership_function" title="Permalink to this definition">¶</a></dt> <dd><p>Fuzzy membership function (pyFTS.common.Membership)</p> </dd></dl> <dl class="py attribute"> <dt class="sig sig-object py" id="pyFTS.partitioners.partitioner.Partitioner.name"> <span class="sig-name descname"><span class="pre">name</span></span><em class="property"><span class="p"><span class="pre">:</span></span><span class="w"> </span><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.11)"><span class="pre">str</span></a></em><a class="headerlink" href="#pyFTS.partitioners.partitioner.Partitioner.name" title="Permalink to this definition">¶</a></dt> <dd><p>partitioner name</p> </dd></dl> <dl class="py attribute"> <dt class="sig sig-object py" id="pyFTS.partitioners.partitioner.Partitioner.ordered_sets"> <span class="sig-name descname"><span class="pre">ordered_sets</span></span><em class="property"><span class="p"><span class="pre">:</span></span><span class="w"> </span><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#list" title="(in Python v3.11)"><span class="pre">list</span></a></em><a class="headerlink" href="#pyFTS.partitioners.partitioner.Partitioner.ordered_sets" title="Permalink to this definition">¶</a></dt> <dd><p>A ordered list of the fuzzy sets names, sorted by their middle point</p> </dd></dl> <dl class="py attribute"> <dt class="sig sig-object py" id="pyFTS.partitioners.partitioner.Partitioner.partitions"> <span class="sig-name descname"><span class="pre">partitions</span></span><em class="property"><span class="p"><span class="pre">:</span></span><span class="w"> </span><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.11)"><span class="pre">int</span></a></em><a class="headerlink" href="#pyFTS.partitioners.partitioner.Partitioner.partitions" title="Permalink to this definition">¶</a></dt> <dd><p>The number of universe of discourse partitions, i.e., the number of fuzzy sets that will be created</p> </dd></dl> <dl class="py method"> <dt class="sig sig-object py" id="pyFTS.partitioners.partitioner.Partitioner.plot"> <span class="sig-name descname"><span class="pre">plot</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">ax</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">rounding</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">0</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/pyFTS/partitioners/partitioner.html#Partitioner.plot"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#pyFTS.partitioners.partitioner.Partitioner.plot" title="Permalink to this definition">¶</a></dt> <dd><p>Plot the partitioning using the Matplotlib axis ax</p> <dl class="field-list simple"> <dt class="field-odd">Parameters</dt> <dd class="field-odd"><p><strong>ax</strong> – Matplotlib axis</p> </dd> </dl> </dd></dl> <dl class="py method"> <dt class="sig sig-object py" id="pyFTS.partitioners.partitioner.Partitioner.plot_set"> <span class="sig-name descname"><span class="pre">plot_set</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">ax</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">s</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/pyFTS/partitioners/partitioner.html#Partitioner.plot_set"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#pyFTS.partitioners.partitioner.Partitioner.plot_set" title="Permalink to this definition">¶</a></dt> <dd><p>Plot an isolate fuzzy set on Matplotlib axis</p> <dl class="field-list simple"> <dt class="field-odd">Parameters</dt> <dd class="field-odd"><ul class="simple"> <li><p><strong>ax</strong> – Matplotlib axis</p></li> <li><p><strong>s</strong> – Fuzzy Set</p></li> </ul> </dd> </dl> </dd></dl> <dl class="py attribute"> <dt class="sig sig-object py" id="pyFTS.partitioners.partitioner.Partitioner.prefix"> <span class="sig-name descname"><span class="pre">prefix</span></span><em class="property"><span class="p"><span class="pre">:</span></span><span class="w"> </span><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.11)"><span class="pre">str</span></a></em><a class="headerlink" href="#pyFTS.partitioners.partitioner.Partitioner.prefix" title="Permalink to this definition">¶</a></dt> <dd><p>prefix of auto generated partition names</p> </dd></dl> <dl class="py method"> <dt class="sig sig-object py" id="pyFTS.partitioners.partitioner.Partitioner.search"> <span class="sig-name descname"><span class="pre">search</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">data</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">**</span></span><span class="n"><span class="pre">kwargs</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/pyFTS/partitioners/partitioner.html#Partitioner.search"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#pyFTS.partitioners.partitioner.Partitioner.search" title="Permalink to this definition">¶</a></dt> <dd><p>Perform a search for the nearest fuzzy sets of the point ‘data’. This function were designed to work with several overlapped fuzzy sets.</p> <dl class="field-list simple"> <dt class="field-odd">Parameters</dt> <dd class="field-odd"><ul class="simple"> <li><p><strong>data</strong> – the value to search for the nearest fuzzy sets</p></li> <li><p><strong>type</strong> – the return type: ‘index’ for the fuzzy set indexes or ‘name’ for fuzzy set names.</p></li> <li><p><strong>results</strong> – the number of nearest fuzzy sets to return</p></li> </ul> </dd> <dt class="field-even">Returns</dt> <dd class="field-even"><p>a list with the nearest fuzzy sets</p> </dd> </dl> </dd></dl> <dl class="py attribute"> <dt class="sig sig-object py" id="pyFTS.partitioners.partitioner.Partitioner.setnames"> <span class="sig-name descname"><span class="pre">setnames</span></span><em class="property"><span class="p"><span class="pre">:</span></span><span class="w"> </span><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#list" title="(in Python v3.11)"><span class="pre">list</span></a></em><a class="headerlink" href="#pyFTS.partitioners.partitioner.Partitioner.setnames" title="Permalink to this definition">¶</a></dt> <dd><p>list of partitions names. If None is given the partitions will be auto named with prefix</p> </dd></dl> <dl class="py attribute"> <dt class="sig sig-object py" id="pyFTS.partitioners.partitioner.Partitioner.sets"> <span class="sig-name descname"><span class="pre">sets</span></span><em class="property"><span class="p"><span class="pre">:</span></span><span class="w"> </span><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#dict" title="(in Python v3.11)"><span class="pre">dict</span></a></em><a class="headerlink" href="#pyFTS.partitioners.partitioner.Partitioner.sets" title="Permalink to this definition">¶</a></dt> <dd><p>The fuzzy sets dictionary</p> </dd></dl> <dl class="py attribute"> <dt class="sig sig-object py" id="pyFTS.partitioners.partitioner.Partitioner.transformation"> <span class="sig-name descname"><span class="pre">transformation</span></span><a class="headerlink" href="#pyFTS.partitioners.partitioner.Partitioner.transformation" title="Permalink to this definition">¶</a></dt> <dd><p>data transformation to be applied on data</p> </dd></dl> <dl class="py attribute"> <dt class="sig sig-object py" id="pyFTS.partitioners.partitioner.Partitioner.type"> <span class="sig-name descname"><span class="pre">type</span></span><em class="property"><span class="p"><span class="pre">:</span></span><span class="w"> </span><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.11)"><span class="pre">str</span></a></em><a class="headerlink" href="#pyFTS.partitioners.partitioner.Partitioner.type" title="Permalink to this definition">¶</a></dt> <dd><p>The type of fuzzy sets that are generated by this partitioner</p> </dd></dl> <dl class="py attribute"> <dt class="sig sig-object py" id="pyFTS.partitioners.partitioner.Partitioner.upper_margin"> <span class="sig-name descname"><span class="pre">upper_margin</span></span><em class="property"><span class="p"><span class="pre">:</span></span><span class="w"> </span><a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.11)"><span class="pre">float</span></a></em><a class="headerlink" href="#pyFTS.partitioners.partitioner.Partitioner.upper_margin" title="Permalink to this definition">¶</a></dt> <dd><p>Specific upper exceeding margins for the known UoD. The default value is the self.margin parameter</p> </dd></dl> <dl class="py method"> <dt class="sig sig-object py" id="pyFTS.partitioners.partitioner.Partitioner.upper_set"> <span class="sig-name descname"><span class="pre">upper_set</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="reference internal" href="_modules/pyFTS/partitioners/partitioner.html#Partitioner.upper_set"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#pyFTS.partitioners.partitioner.Partitioner.upper_set" title="Permalink to this definition">¶</a></dt> <dd><p>Return the fuzzy set on upper bound of the universe of discourse.</p> <dl class="field-list simple"> <dt class="field-odd">Returns</dt> <dd class="field-odd"><p>Fuzzy Set</p> </dd> </dl> </dd></dl> <dl class="py attribute"> <dt class="sig sig-object py" id="pyFTS.partitioners.partitioner.Partitioner.variable"> <span class="sig-name descname"><span class="pre">variable</span></span><a class="headerlink" href="#pyFTS.partitioners.partitioner.Partitioner.variable" title="Permalink to this definition">¶</a></dt> <dd><p>In a multivariate context, the variable that contains this partitioner</p> </dd></dl> </dd></dl> </section> <section id="module-pyFTS.partitioners.Class"> <span id="pyfts-partitioners-class-module"></span><h2>pyFTS.partitioners.Class module<a class="headerlink" href="#module-pyFTS.partitioners.Class" title="Permalink to this headline">¶</a></h2> <p>Class Partitioner with Singleton Fuzzy Sets</p> <dl class="py class"> <dt class="sig sig-object py" id="pyFTS.partitioners.Class.ClassPartitioner"> <em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">pyFTS.partitioners.Class.</span></span><span class="sig-name descname"><span class="pre">ClassPartitioner</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="o"><span class="pre">**</span></span><span class="n"><span class="pre">kwargs</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/pyFTS/partitioners/Class.html#ClassPartitioner"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#pyFTS.partitioners.Class.ClassPartitioner" title="Permalink to this definition">¶</a></dt> <dd><p>Bases: <a class="reference internal" href="#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>Class Partitioner: Given a dictionary with class/values pairs, create singleton fuzzy sets for each class</p> <dl class="py method"> <dt class="sig sig-object py" id="pyFTS.partitioners.Class.ClassPartitioner.build"> <span class="sig-name descname"><span class="pre">build</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">data</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#list" title="(in Python v3.11)"><span class="pre">list</span></a></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/pyFTS/partitioners/Class.html#ClassPartitioner.build"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#pyFTS.partitioners.Class.ClassPartitioner.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> </section> <section id="module-pyFTS.partitioners.CMeans"> <span id="pyfts-partitioners-cmeans-module"></span><h2>pyFTS.partitioners.CMeans module<a class="headerlink" href="#module-pyFTS.partitioners.CMeans" title="Permalink to this headline">¶</a></h2> <dl class="py class"> <dt class="sig sig-object py" id="pyFTS.partitioners.CMeans.CMeansPartitioner"> <em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">pyFTS.partitioners.CMeans.</span></span><span class="sig-name descname"><span class="pre">CMeansPartitioner</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="o"><span class="pre">**</span></span><span class="n"><span class="pre">kwargs</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/pyFTS/partitioners/CMeans.html#CMeansPartitioner"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#pyFTS.partitioners.CMeans.CMeansPartitioner" title="Permalink to this definition">¶</a></dt> <dd><p>Bases: <a class="reference internal" href="#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> <dl class="py method"> <dt class="sig sig-object py" id="pyFTS.partitioners.CMeans.CMeansPartitioner.build"> <span class="sig-name descname"><span class="pre">build</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">data</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/pyFTS/partitioners/CMeans.html#CMeansPartitioner.build"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#pyFTS.partitioners.CMeans.CMeansPartitioner.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 class="sig sig-object py" id="pyFTS.partitioners.CMeans.c_means"> <span class="sig-prename descclassname"><span class="pre">pyFTS.partitioners.CMeans.</span></span><span class="sig-name descname"><span class="pre">c_means</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">k</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">dados</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">tam</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/pyFTS/partitioners/CMeans.html#c_means"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#pyFTS.partitioners.CMeans.c_means" title="Permalink to this definition">¶</a></dt> <dd></dd></dl> <dl class="py function"> <dt class="sig sig-object py" id="pyFTS.partitioners.CMeans.distance"> <span class="sig-prename descclassname"><span class="pre">pyFTS.partitioners.CMeans.</span></span><span class="sig-name descname"><span class="pre">distance</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">x</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">y</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/pyFTS/partitioners/CMeans.html#distance"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#pyFTS.partitioners.CMeans.distance" title="Permalink to this definition">¶</a></dt> <dd></dd></dl> </section> <section id="module-pyFTS.partitioners.Entropy"> <span id="pyfts-partitioners-entropy-module"></span><h2>pyFTS.partitioners.Entropy module<a class="headerlink" href="#module-pyFTS.partitioners.Entropy" title="Permalink to this headline">¶</a></h2> <p>C. H. Cheng, R. J. Chang, and C. A. Yeh, “Entropy-based and trapezoidal fuzzification-based fuzzy time series approach for forecasting IT project cost,” Technol. Forecast. Social Change, vol. 73, no. 5, pp. 524–542, Jun. 2006.</p> <dl class="py class"> <dt class="sig sig-object py" id="pyFTS.partitioners.Entropy.EntropyPartitioner"> <em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">pyFTS.partitioners.Entropy.</span></span><span class="sig-name descname"><span class="pre">EntropyPartitioner</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="o"><span class="pre">**</span></span><span class="n"><span class="pre">kwargs</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/pyFTS/partitioners/Entropy.html#EntropyPartitioner"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#pyFTS.partitioners.Entropy.EntropyPartitioner" title="Permalink to this definition">¶</a></dt> <dd><p>Bases: <a class="reference internal" href="#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>Huarng Entropy Partitioner</p> <dl class="py method"> <dt class="sig sig-object py" id="pyFTS.partitioners.Entropy.EntropyPartitioner.build"> <span class="sig-name descname"><span class="pre">build</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">data</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/pyFTS/partitioners/Entropy.html#EntropyPartitioner.build"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#pyFTS.partitioners.Entropy.EntropyPartitioner.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 class="sig sig-object py" id="pyFTS.partitioners.Entropy.PMF"> <span class="sig-prename descclassname"><span class="pre">pyFTS.partitioners.Entropy.</span></span><span class="sig-name descname"><span class="pre">PMF</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">data</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">threshold</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/pyFTS/partitioners/Entropy.html#PMF"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#pyFTS.partitioners.Entropy.PMF" title="Permalink to this definition">¶</a></dt> <dd></dd></dl> <dl class="py function"> <dt class="sig sig-object py" id="pyFTS.partitioners.Entropy.bestSplit"> <span class="sig-prename descclassname"><span class="pre">pyFTS.partitioners.Entropy.</span></span><span class="sig-name descname"><span class="pre">bestSplit</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">data</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">npart</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/pyFTS/partitioners/Entropy.html#bestSplit"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#pyFTS.partitioners.Entropy.bestSplit" title="Permalink to this definition">¶</a></dt> <dd></dd></dl> <dl class="py function"> <dt class="sig sig-object py" id="pyFTS.partitioners.Entropy.entropy"> <span class="sig-prename descclassname"><span class="pre">pyFTS.partitioners.Entropy.</span></span><span class="sig-name descname"><span class="pre">entropy</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">data</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">threshold</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/pyFTS/partitioners/Entropy.html#entropy"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#pyFTS.partitioners.Entropy.entropy" title="Permalink to this definition">¶</a></dt> <dd></dd></dl> <dl class="py function"> <dt class="sig sig-object py" id="pyFTS.partitioners.Entropy.informationGain"> <span class="sig-prename descclassname"><span class="pre">pyFTS.partitioners.Entropy.</span></span><span class="sig-name descname"><span class="pre">informationGain</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">data</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">thres1</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">thres2</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/pyFTS/partitioners/Entropy.html#informationGain"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#pyFTS.partitioners.Entropy.informationGain" title="Permalink to this definition">¶</a></dt> <dd></dd></dl> <dl class="py function"> <dt class="sig sig-object py" id="pyFTS.partitioners.Entropy.splitAbove"> <span class="sig-prename descclassname"><span class="pre">pyFTS.partitioners.Entropy.</span></span><span class="sig-name descname"><span class="pre">splitAbove</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">data</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">threshold</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/pyFTS/partitioners/Entropy.html#splitAbove"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#pyFTS.partitioners.Entropy.splitAbove" title="Permalink to this definition">¶</a></dt> <dd></dd></dl> <dl class="py function"> <dt class="sig sig-object py" id="pyFTS.partitioners.Entropy.splitBelow"> <span class="sig-prename descclassname"><span class="pre">pyFTS.partitioners.Entropy.</span></span><span class="sig-name descname"><span class="pre">splitBelow</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">data</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">threshold</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/pyFTS/partitioners/Entropy.html#splitBelow"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#pyFTS.partitioners.Entropy.splitBelow" title="Permalink to this definition">¶</a></dt> <dd></dd></dl> </section> <section id="module-pyFTS.partitioners.FCM"> <span id="pyfts-partitioners-fcm-module"></span><h2>pyFTS.partitioners.FCM module<a class="headerlink" href="#module-pyFTS.partitioners.FCM" title="Permalink to this headline">¶</a></h2> <p>S. T. Li, Y. C. Cheng, and S. Y. Lin, “A FCM-based deterministic forecasting model for fuzzy time series,” Comput. Math. Appl., vol. 56, no. 12, pp. 3052–3063, Dec. 2008. DOI: 10.1016/j.camwa.2008.07.033.</p> <dl class="py class"> <dt class="sig sig-object py" id="pyFTS.partitioners.FCM.FCMPartitioner"> <em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">pyFTS.partitioners.FCM.</span></span><span class="sig-name descname"><span class="pre">FCMPartitioner</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="o"><span class="pre">**</span></span><span class="n"><span class="pre">kwargs</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/pyFTS/partitioners/FCM.html#FCMPartitioner"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#pyFTS.partitioners.FCM.FCMPartitioner" title="Permalink to this definition">¶</a></dt> <dd><p>Bases: <a class="reference internal" href="#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> <dl class="py method"> <dt class="sig sig-object py" id="pyFTS.partitioners.FCM.FCMPartitioner.build"> <span class="sig-name descname"><span class="pre">build</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">data</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/pyFTS/partitioners/FCM.html#FCMPartitioner.build"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#pyFTS.partitioners.FCM.FCMPartitioner.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 class="sig sig-object py" id="pyFTS.partitioners.FCM.fuzzy_cmeans"> <span class="sig-prename descclassname"><span class="pre">pyFTS.partitioners.FCM.</span></span><span class="sig-name descname"><span class="pre">fuzzy_cmeans</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">k</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">data</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">size</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">m</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">deltadist</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">0.001</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/pyFTS/partitioners/FCM.html#fuzzy_cmeans"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#pyFTS.partitioners.FCM.fuzzy_cmeans" title="Permalink to this definition">¶</a></dt> <dd></dd></dl> <dl class="py function"> <dt class="sig sig-object py" id="pyFTS.partitioners.FCM.fuzzy_distance"> <span class="sig-prename descclassname"><span class="pre">pyFTS.partitioners.FCM.</span></span><span class="sig-name descname"><span class="pre">fuzzy_distance</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">x</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">y</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/pyFTS/partitioners/FCM.html#fuzzy_distance"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#pyFTS.partitioners.FCM.fuzzy_distance" title="Permalink to this definition">¶</a></dt> <dd></dd></dl> <dl class="py function"> <dt class="sig sig-object py" id="pyFTS.partitioners.FCM.membership"> <span class="sig-prename descclassname"><span class="pre">pyFTS.partitioners.FCM.</span></span><span class="sig-name descname"><span class="pre">membership</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">val</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">vals</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/pyFTS/partitioners/FCM.html#membership"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#pyFTS.partitioners.FCM.membership" title="Permalink to this definition">¶</a></dt> <dd></dd></dl> </section> <section id="module-pyFTS.partitioners.Grid"> <span id="pyfts-partitioners-grid-module"></span><h2>pyFTS.partitioners.Grid module<a class="headerlink" href="#module-pyFTS.partitioners.Grid" title="Permalink to this headline">¶</a></h2> <p>Even Length Grid Partitioner</p> <dl class="py class"> <dt class="sig sig-object py" id="pyFTS.partitioners.Grid.GridPartitioner"> <em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">pyFTS.partitioners.Grid.</span></span><span class="sig-name descname"><span class="pre">GridPartitioner</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="o"><span class="pre">**</span></span><span class="n"><span class="pre">kwargs</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/pyFTS/partitioners/Grid.html#GridPartitioner"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#pyFTS.partitioners.Grid.GridPartitioner" title="Permalink to this definition">¶</a></dt> <dd><p>Bases: <a class="reference internal" href="#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>Even Length Grid Partitioner</p> <dl class="py method"> <dt class="sig sig-object py" id="pyFTS.partitioners.Grid.GridPartitioner.build"> <span class="sig-name descname"><span class="pre">build</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">data</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/pyFTS/partitioners/Grid.html#GridPartitioner.build"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#pyFTS.partitioners.Grid.GridPartitioner.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 class"> <dt class="sig sig-object py" id="pyFTS.partitioners.Grid.PreFixedGridPartitioner"> <em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">pyFTS.partitioners.Grid.</span></span><span class="sig-name descname"><span class="pre">PreFixedGridPartitioner</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="o"><span class="pre">**</span></span><span class="n"><span class="pre">kwargs</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/pyFTS/partitioners/Grid.html#PreFixedGridPartitioner"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#pyFTS.partitioners.Grid.PreFixedGridPartitioner" title="Permalink to this definition">¶</a></dt> <dd><p>Bases: <a class="reference internal" href="#pyFTS.partitioners.Grid.GridPartitioner" title="pyFTS.partitioners.Grid.GridPartitioner"><code class="xref py py-class docutils literal notranslate"><span class="pre">pyFTS.partitioners.Grid.GridPartitioner</span></code></a></p> <p>Prefixed UoD with Even Length Grid Partitioner</p> </dd></dl> </section> <section id="pyfts-partitioners-huarng-module"> <h2>pyFTS.partitioners.Huarng module<a class="headerlink" href="#pyfts-partitioners-huarng-module" title="Permalink to this headline">¶</a></h2> </section> <section id="module-pyFTS.partitioners.Singleton"> <span id="pyfts-partitioners-singleton-module"></span><h2>pyFTS.partitioners.Singleton module<a class="headerlink" href="#module-pyFTS.partitioners.Singleton" title="Permalink to this headline">¶</a></h2> <p>Even Length Grid Partitioner</p> <dl class="py class"> <dt class="sig sig-object py" id="pyFTS.partitioners.Singleton.SingletonPartitioner"> <em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">pyFTS.partitioners.Singleton.</span></span><span class="sig-name descname"><span class="pre">SingletonPartitioner</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="o"><span class="pre">**</span></span><span class="n"><span class="pre">kwargs</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/pyFTS/partitioners/Singleton.html#SingletonPartitioner"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#pyFTS.partitioners.Singleton.SingletonPartitioner" title="Permalink to this definition">¶</a></dt> <dd><p>Bases: <a class="reference internal" href="#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>Singleton Partitioner: Create singleton fuzzy sets for each distinct value in UoD</p> <dl class="py method"> <dt class="sig sig-object py" id="pyFTS.partitioners.Singleton.SingletonPartitioner.build"> <span class="sig-name descname"><span class="pre">build</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">data</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#list" title="(in Python v3.11)"><span class="pre">list</span></a></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/pyFTS/partitioners/Singleton.html#SingletonPartitioner.build"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#pyFTS.partitioners.Singleton.SingletonPartitioner.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> </section> <section id="module-pyFTS.partitioners.Simple"> <span id="pyfts-partitioners-simple-module"></span><h2>pyFTS.partitioners.Simple module<a class="headerlink" href="#module-pyFTS.partitioners.Simple" title="Permalink to this headline">¶</a></h2> <p>Simple Partitioner for manually informed fuzzy sets</p> <dl class="py class"> <dt class="sig sig-object py" id="pyFTS.partitioners.Simple.SimplePartitioner"> <em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">pyFTS.partitioners.Simple.</span></span><span class="sig-name descname"><span class="pre">SimplePartitioner</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="o"><span class="pre">**</span></span><span class="n"><span class="pre">kwargs</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/pyFTS/partitioners/Simple.html#SimplePartitioner"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#pyFTS.partitioners.Simple.SimplePartitioner" title="Permalink to this definition">¶</a></dt> <dd><p>Bases: <a class="reference internal" href="#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>Simple Partitioner for manually informed fuzzy sets</p> <dl class="py method"> <dt class="sig sig-object py" id="pyFTS.partitioners.Simple.SimplePartitioner.append"> <span class="sig-name descname"><span class="pre">append</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">name</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">mf</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">parameters</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">**</span></span><span class="n"><span class="pre">kwargs</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/pyFTS/partitioners/Simple.html#SimplePartitioner.append"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#pyFTS.partitioners.Simple.SimplePartitioner.append" title="Permalink to this definition">¶</a></dt> <dd><p>Append a new partition (fuzzy set) to the partitioner</p> <dl class="field-list simple"> <dt class="field-odd">Parameters</dt> <dd class="field-odd"><ul class="simple"> <li><p><strong>name</strong> – Fuzzy set name</p></li> <li><p><strong>mf</strong> – One of the pyFTS.common.Membership functions</p></li> <li><p><strong>parameters</strong> – A list with the parameters for the membership function</p></li> <li><p><strong>kwargs</strong> – Optional arguments for the fuzzy set</p></li> </ul> </dd> </dl> </dd></dl> <dl class="py method"> <dt class="sig sig-object py" id="pyFTS.partitioners.Simple.SimplePartitioner.append_complex"> <span class="sig-name descname"><span class="pre">append_complex</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">fs</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/pyFTS/partitioners/Simple.html#SimplePartitioner.append_complex"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#pyFTS.partitioners.Simple.SimplePartitioner.append_complex" title="Permalink to this definition">¶</a></dt> <dd></dd></dl> </dd></dl> </section> <section id="module-pyFTS.partitioners.SubClust"> <span id="pyfts-partitioners-subclust-module"></span><h2>pyFTS.partitioners.SubClust module<a class="headerlink" href="#module-pyFTS.partitioners.SubClust" title="Permalink to this headline">¶</a></h2> <p>Chiu, Stephen L. “Fuzzy model identification based on cluster estimation.” Journal of Intelligent & fuzzy systems 2.3 (1994): 267-278.</p> <dl class="py class"> <dt class="sig sig-object py" id="pyFTS.partitioners.SubClust.SubClustPartitioner"> <em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">pyFTS.partitioners.SubClust.</span></span><span class="sig-name descname"><span class="pre">SubClustPartitioner</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="o"><span class="pre">**</span></span><span class="n"><span class="pre">kwargs</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/pyFTS/partitioners/SubClust.html#SubClustPartitioner"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#pyFTS.partitioners.SubClust.SubClustPartitioner" title="Permalink to this definition">¶</a></dt> <dd><p>Bases: <a class="reference internal" href="#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>Subtractive Clustering Partitioner</p> <dl class="py method"> <dt class="sig sig-object py" id="pyFTS.partitioners.SubClust.SubClustPartitioner.build"> <span class="sig-name descname"><span class="pre">build</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">data</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/pyFTS/partitioners/SubClust.html#SubClustPartitioner.build"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#pyFTS.partitioners.SubClust.SubClustPartitioner.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 class="sig sig-object py" id="pyFTS.partitioners.SubClust.imax"> <span class="sig-prename descclassname"><span class="pre">pyFTS.partitioners.SubClust.</span></span><span class="sig-name descname"><span class="pre">imax</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">vec</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/pyFTS/partitioners/SubClust.html#imax"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#pyFTS.partitioners.SubClust.imax" title="Permalink to this definition">¶</a></dt> <dd></dd></dl> <dl class="py function"> <dt class="sig sig-object py" id="pyFTS.partitioners.SubClust.subclust"> <span class="sig-prename descclassname"><span class="pre">pyFTS.partitioners.SubClust.</span></span><span class="sig-name descname"><span class="pre">subclust</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">data</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">ra</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">rb</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">eps_sup</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">eps_inf</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/pyFTS/partitioners/SubClust.html#subclust"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#pyFTS.partitioners.SubClust.subclust" title="Permalink to this definition">¶</a></dt> <dd></dd></dl> </section> <section id="pyfts-partitioners-util-module"> <h2>pyFTS.partitioners.Util module<a class="headerlink" href="#pyfts-partitioners-util-module" title="Permalink to this headline">¶</a></h2> </section> <section id="pyfts-partitioners-parallel-util-module"> <h2>pyFTS.partitioners.parallel_util module<a class="headerlink" href="#pyfts-partitioners-parallel-util-module" title="Permalink to this headline">¶</a></h2> </section> </section> <div class="clearer"></div> </div> </div> </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.partitioners package</a><ul> <li><a class="reference internal" href="#module-pyFTS.partitioners">Module contents</a></li> <li><a class="reference internal" href="#submodules">Submodules</a></li> <li><a class="reference internal" href="#module-pyFTS.partitioners.partitioner">pyFTS.partitioners.partitioner module</a></li> <li><a class="reference internal" href="#module-pyFTS.partitioners.Class">pyFTS.partitioners.Class module</a></li> <li><a class="reference internal" href="#module-pyFTS.partitioners.CMeans">pyFTS.partitioners.CMeans module</a></li> <li><a class="reference internal" href="#module-pyFTS.partitioners.Entropy">pyFTS.partitioners.Entropy module</a></li> <li><a class="reference internal" href="#module-pyFTS.partitioners.FCM">pyFTS.partitioners.FCM module</a></li> <li><a class="reference internal" href="#module-pyFTS.partitioners.Grid">pyFTS.partitioners.Grid module</a></li> <li><a class="reference internal" href="#pyfts-partitioners-huarng-module">pyFTS.partitioners.Huarng module</a></li> <li><a class="reference internal" href="#module-pyFTS.partitioners.Singleton">pyFTS.partitioners.Singleton module</a></li> <li><a class="reference internal" href="#module-pyFTS.partitioners.Simple">pyFTS.partitioners.Simple module</a></li> <li><a class="reference internal" href="#module-pyFTS.partitioners.SubClust">pyFTS.partitioners.SubClust module</a></li> <li><a class="reference internal" href="#pyfts-partitioners-util-module">pyFTS.partitioners.Util module</a></li> <li><a class="reference internal" href="#pyfts-partitioners-parallel-util-module">pyFTS.partitioners.parallel_util module</a></li> </ul> </li> </ul> <h4>Previous topic</h4> <p class="topless"><a 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