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<title>pyFTS.models package &#8212; pyFTS 1.6 documentation</title>
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<div class="section" id="pyfts-models-package">
<h1>pyFTS.models package<a class="headerlink" href="#pyfts-models-package" title="Permalink to this headline"></a></h1>
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<div class="section" id="module-pyFTS.models">
<span id="module-contents"></span><h2>Module contents<a class="headerlink" href="#module-pyFTS.models" title="Permalink to this headline"></a></h2>
<p>Fuzzy Time Series methods</p>
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<li class="toctree-l1"><a class="reference internal" href="pyFTS.models.ensemble.html">pyFTS.models.ensemble package</a><ul>
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<li class="toctree-l2"><a class="reference internal" href="pyFTS.models.ensemble.html#module-pyFTS.models.ensemble.multiseasonal">pyFTS.models.ensemble.multiseasonal module</a></li>
<li class="toctree-l2"><a class="reference internal" href="pyFTS.models.ensemble.html#module-pyFTS.models.ensemble">Module contents</a></li>
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Incremental module
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<li class="toctree-l1"><a class="reference internal" href="pyFTS.models.incremental.html">pyFTS.models.incremental package</a><ul>
<li class="toctree-l2"><a class="reference internal" href="pyFTS.models.incremental.html#module-pyFTS.models.incremental">Module contents</a></li>
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<li class="toctree-l2"><a class="reference internal" href="pyFTS.models.incremental.html#module-pyFTS.models.incremental.TimeVariant">pyFTS.models.incremental.TimeVariant module</a></li>
<li class="toctree-l2"><a class="reference internal" href="pyFTS.models.incremental.html#module-pyFTS.models.incremental.IncrementalEnsemble">pyFTS.models.incremental.IncrementalEnsemble module</a></li>
Incremental module
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<li class="toctree-l2"><a class="reference internal" href="pyFTS.models.multivariate.html#module-pyFTS.models.multivariate.FLR">pyFTS.models.multivariate.FLR module</a></li>
<li class="toctree-l2"><a class="reference internal" href="pyFTS.models.multivariate.html#module-pyFTS.models.multivariate.common">pyFTS.models.multivariate.common module</a></li>
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New benchmarks.Tests module; Improvements on forecast_ahead_* function; Documentation update
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<li class="toctree-l2"><a class="reference internal" href="pyFTS.models.multivariate.html#module-pyFTS.models.multivariate.partitioner">pyFTS.models.multivariate.partitioner module</a></li>
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<li class="toctree-l2"><a class="reference internal" href="pyFTS.models.multivariate.html#module-pyFTS.models.multivariate.wmvfts">pyFTS.models.multivariate.wmvfts module</a></li>
<li class="toctree-l2"><a class="reference internal" href="pyFTS.models.multivariate.html#module-pyFTS.models.multivariate.cmvfts">pyFTS.models.multivariate.cmvfts module</a></li>
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</li>
<li class="toctree-l1"><a class="reference internal" href="pyFTS.models.nonstationary.html">pyFTS.models.nonstationary package</a><ul>
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<li class="toctree-l2"><a class="reference internal" href="pyFTS.models.nonstationary.html#module-pyFTS.models.nonstationary.cvfts">pyFTS.models.nonstationary.cvfts module</a></li>
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<li class="toctree-l2"><a class="reference internal" href="pyFTS.models.nonstationary.html#module-pyFTS.models.nonstationary.honsfts">pyFTS.models.nonstationary.honsfts module</a></li>
<li class="toctree-l2"><a class="reference internal" href="pyFTS.models.nonstationary.html#module-pyFTS.models.nonstationary.nsfts">pyFTS.models.nonstationary.nsfts module</a></li>
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<li class="toctree-l2"><a class="reference internal" href="pyFTS.models.nonstationary.html#module-pyFTS.models.nonstationary.perturbation">pyFTS.models.nonstationary.perturbation module</a></li>
<li class="toctree-l2"><a class="reference internal" href="pyFTS.models.nonstationary.html#module-pyFTS.models.nonstationary.util">pyFTS.models.nonstationary.util module</a></li>
<li class="toctree-l2"><a class="reference internal" href="pyFTS.models.nonstationary.html#module-pyFTS.models.nonstationary">Module contents</a></li>
</ul>
</li>
<li class="toctree-l1"><a class="reference internal" href="pyFTS.models.seasonal.html">pyFTS.models.seasonal package</a><ul>
<li class="toctree-l2"><a class="reference internal" href="pyFTS.models.seasonal.html#submodules">Submodules</a></li>
<li class="toctree-l2"><a class="reference internal" href="pyFTS.models.seasonal.html#module-pyFTS.models.seasonal.SeasonalIndexer">pyFTS.models.seasonal.SeasonalIndexer module</a></li>
<li class="toctree-l2"><a class="reference internal" href="pyFTS.models.seasonal.html#module-pyFTS.models.seasonal.cmsfts">pyFTS.models.seasonal.cmsfts module</a></li>
<li class="toctree-l2"><a class="reference internal" href="pyFTS.models.seasonal.html#module-pyFTS.models.seasonal.common">pyFTS.models.seasonal.common module</a></li>
<li class="toctree-l2"><a class="reference internal" href="pyFTS.models.seasonal.html#module-pyFTS.models.seasonal.msfts">pyFTS.models.seasonal.msfts module</a></li>
<li class="toctree-l2"><a class="reference internal" href="pyFTS.models.seasonal.html#module-pyFTS.models.seasonal.partitioner">pyFTS.models.seasonal.partitioner module</a></li>
<li class="toctree-l2"><a class="reference internal" href="pyFTS.models.seasonal.html#module-pyFTS.models.seasonal.sfts">pyFTS.models.seasonal.sfts module</a></li>
<li class="toctree-l2"><a class="reference internal" href="pyFTS.models.seasonal.html#module-pyFTS.models.seasonal">Module contents</a></li>
</ul>
</li>
</ul>
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<div class="section" id="submodules">
<h2>Submodules<a class="headerlink" href="#submodules" title="Permalink to this headline"></a></h2>
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</div>
<div class="section" id="module-pyFTS.models.song">
<span id="pyfts-models-song-module"></span><h2>pyFTS.models.song module<a class="headerlink" href="#module-pyFTS.models.song" title="Permalink to this headline"></a></h2>
<p>First Order Traditional Fuzzy Time Series method by Song &amp; Chissom (1993)</p>
<ol class="upperalpha simple" start="17">
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<li><p>Song and B. S. Chissom, “Fuzzy time series and its models,” Fuzzy Sets Syst., vol. 54, no. 3, pp. 269–277, 1993.</p></li>
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</ol>
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<dl class="py class">
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<dt id="pyFTS.models.song.ConventionalFTS">
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<em class="property">class </em><code class="sig-prename descclassname">pyFTS.models.song.</code><code class="sig-name descname">ConventionalFTS</code><span class="sig-paren">(</span><em class="sig-param"><span class="o">**</span><span class="n">kwargs</span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/pyFTS/models/song.html#ConventionalFTS"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#pyFTS.models.song.ConventionalFTS" title="Permalink to this definition"></a></dt>
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<dd><p>Bases: <a class="reference internal" href="pyFTS.common.html#pyFTS.common.fts.FTS" title="pyFTS.common.fts.FTS"><code class="xref py py-class docutils literal notranslate"><span class="pre">pyFTS.common.fts.FTS</span></code></a></p>
<p>Traditional Fuzzy Time Series</p>
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<dl class="py method">
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<dt id="pyFTS.models.song.ConventionalFTS.flr_membership_matrix">
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<code class="sig-name descname">flr_membership_matrix</code><span class="sig-paren">(</span><em class="sig-param"><span class="n">flr</span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/pyFTS/models/song.html#ConventionalFTS.flr_membership_matrix"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#pyFTS.models.song.ConventionalFTS.flr_membership_matrix" title="Permalink to this definition"></a></dt>
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<dd></dd></dl>
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<dl class="py method">
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<dt id="pyFTS.models.song.ConventionalFTS.forecast">
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<code class="sig-name descname">forecast</code><span class="sig-paren">(</span><em class="sig-param"><span class="n">ndata</span></em>, <em class="sig-param"><span class="o">**</span><span class="n">kwargs</span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/pyFTS/models/song.html#ConventionalFTS.forecast"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#pyFTS.models.song.ConventionalFTS.forecast" title="Permalink to this definition"></a></dt>
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<dd><p>Point forecast one step ahead</p>
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<dl class="field-list simple">
<dt class="field-odd">Parameters</dt>
<dd class="field-odd"><ul class="simple">
<li><p><strong>data</strong> – time series data with the minimal length equal to the max_lag of the model</p></li>
<li><p><strong>kwargs</strong> – model specific parameters</p></li>
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</ul>
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</dd>
<dt class="field-even">Returns</dt>
<dd class="field-even"><p>a list with the forecasted values</p>
</dd>
</dl>
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</dd></dl>
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<dl class="py method">
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<dt id="pyFTS.models.song.ConventionalFTS.operation_matrix">
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<code class="sig-name descname">operation_matrix</code><span class="sig-paren">(</span><em class="sig-param"><span class="n">flrs</span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/pyFTS/models/song.html#ConventionalFTS.operation_matrix"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#pyFTS.models.song.ConventionalFTS.operation_matrix" title="Permalink to this definition"></a></dt>
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<dd></dd></dl>
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<dl class="py method">
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<dt id="pyFTS.models.song.ConventionalFTS.train">
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<code class="sig-name descname">train</code><span class="sig-paren">(</span><em class="sig-param"><span class="n">data</span></em>, <em class="sig-param"><span class="o">**</span><span class="n">kwargs</span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/pyFTS/models/song.html#ConventionalFTS.train"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#pyFTS.models.song.ConventionalFTS.train" title="Permalink to this definition"></a></dt>
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<dd><p>Method specific parameter fitting</p>
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<dl class="field-list simple">
<dt class="field-odd">Parameters</dt>
<dd class="field-odd"><ul class="simple">
<li><p><strong>data</strong> – training time series data</p></li>
<li><p><strong>kwargs</strong> – Method specific parameters</p></li>
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</ul>
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</dd>
</dl>
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</dd></dl>
</dd></dl>
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</div>
<div class="section" id="module-pyFTS.models.chen">
<span id="pyfts-models-chen-module"></span><h2>pyFTS.models.chen module<a class="headerlink" href="#module-pyFTS.models.chen" title="Permalink to this headline"></a></h2>
<p>First Order Conventional Fuzzy Time Series by Chen (1996)</p>
<p>S.-M. Chen, “Forecasting enrollments based on fuzzy time series,” Fuzzy Sets Syst., vol. 81, no. 3, pp. 311–319, 1996.</p>
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<dl class="py class">
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<dt id="pyFTS.models.chen.ConventionalFLRG">
Documentation update
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<em class="property">class </em><code class="sig-prename descclassname">pyFTS.models.chen.</code><code class="sig-name descname">ConventionalFLRG</code><span class="sig-paren">(</span><em class="sig-param"><span class="n">LHS</span></em>, <em class="sig-param"><span class="o">**</span><span class="n">kwargs</span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/pyFTS/models/chen.html#ConventionalFLRG"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#pyFTS.models.chen.ConventionalFLRG" title="Permalink to this definition"></a></dt>
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<dd><p>Bases: <a class="reference internal" href="pyFTS.common.html#pyFTS.common.flrg.FLRG" title="pyFTS.common.flrg.FLRG"><code class="xref py py-class docutils literal notranslate"><span class="pre">pyFTS.common.flrg.FLRG</span></code></a></p>
<p>First Order Conventional Fuzzy Logical Relationship Group</p>
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<dl class="py method">
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<dt id="pyFTS.models.chen.ConventionalFLRG.append_rhs">
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<code class="sig-name descname">append_rhs</code><span class="sig-paren">(</span><em class="sig-param"><span class="n">c</span></em>, <em class="sig-param"><span class="o">**</span><span class="n">kwargs</span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/pyFTS/models/chen.html#ConventionalFLRG.append_rhs"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#pyFTS.models.chen.ConventionalFLRG.append_rhs" title="Permalink to this definition"></a></dt>
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<dd></dd></dl>
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<dl class="py method">
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<dt id="pyFTS.models.chen.ConventionalFLRG.get_key">
Documentation update
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<code class="sig-name descname">get_key</code><span class="sig-paren">(</span><em class="sig-param"><span class="n">sets</span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/pyFTS/models/chen.html#ConventionalFLRG.get_key"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#pyFTS.models.chen.ConventionalFLRG.get_key" title="Permalink to this definition"></a></dt>
Sphinx documentation for ReadTheDocs site
2018-08-30 09:05:29 +04:00
<dd><p>Returns a unique identifier for this FLRG</p>
</dd></dl>
</dd></dl>
Documentation update
2020-08-19 00:06:41 +04:00
<dl class="py class">
Sphinx documentation for ReadTheDocs site
2018-08-30 09:05:29 +04:00
<dt id="pyFTS.models.chen.ConventionalFTS">
Documentation update
2020-08-19 00:06:41 +04:00
<em class="property">class </em><code class="sig-prename descclassname">pyFTS.models.chen.</code><code class="sig-name descname">ConventionalFTS</code><span class="sig-paren">(</span><em class="sig-param"><span class="o">**</span><span class="n">kwargs</span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/pyFTS/models/chen.html#ConventionalFTS"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#pyFTS.models.chen.ConventionalFTS" title="Permalink to this definition"></a></dt>
Sphinx documentation for ReadTheDocs site
2018-08-30 09:05:29 +04:00
<dd><p>Bases: <a class="reference internal" href="pyFTS.common.html#pyFTS.common.fts.FTS" title="pyFTS.common.fts.FTS"><code class="xref py py-class docutils literal notranslate"><span class="pre">pyFTS.common.fts.FTS</span></code></a></p>
<p>Conventional Fuzzy Time Series</p>
Documentation update
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<dl class="py method">
Sphinx documentation for ReadTheDocs site
2018-08-30 09:05:29 +04:00
<dt id="pyFTS.models.chen.ConventionalFTS.forecast">
Documentation update
2020-08-19 00:06:41 +04:00
<code class="sig-name descname">forecast</code><span class="sig-paren">(</span><em class="sig-param"><span class="n">ndata</span></em>, <em class="sig-param"><span class="o">**</span><span class="n">kwargs</span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/pyFTS/models/chen.html#ConventionalFTS.forecast"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#pyFTS.models.chen.ConventionalFTS.forecast" title="Permalink to this definition"></a></dt>
Sphinx documentation for ReadTheDocs site
2018-08-30 09:05:29 +04:00
<dd><p>Point forecast one step ahead</p>
Documentation update
2020-08-19 00:06:41 +04:00
<dl class="field-list simple">
<dt class="field-odd">Parameters</dt>
<dd class="field-odd"><ul class="simple">
<li><p><strong>data</strong> – time series data with the minimal length equal to the max_lag of the model</p></li>
<li><p><strong>kwargs</strong> – model specific parameters</p></li>
Sphinx documentation for ReadTheDocs site
2018-08-30 09:05:29 +04:00
</ul>
Documentation update
2020-08-19 00:06:41 +04:00
</dd>
<dt class="field-even">Returns</dt>
<dd class="field-even"><p>a list with the forecasted values</p>
</dd>
</dl>
Sphinx documentation for ReadTheDocs site
2018-08-30 09:05:29 +04:00
</dd></dl>
Documentation update
2020-08-19 00:06:41 +04:00
<dl class="py method">
Sphinx documentation for ReadTheDocs site
2018-08-30 09:05:29 +04:00
<dt id="pyFTS.models.chen.ConventionalFTS.generate_flrg">
Documentation update
2020-08-19 00:06:41 +04:00
<code class="sig-name descname">generate_flrg</code><span class="sig-paren">(</span><em class="sig-param"><span class="n">flrs</span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/pyFTS/models/chen.html#ConventionalFTS.generate_flrg"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#pyFTS.models.chen.ConventionalFTS.generate_flrg" title="Permalink to this definition"></a></dt>
Sphinx documentation for ReadTheDocs site
2018-08-30 09:05:29 +04:00
<dd></dd></dl>
Documentation update
2020-08-19 00:06:41 +04:00
<dl class="py method">
Sphinx documentation for ReadTheDocs site
2018-08-30 09:05:29 +04:00
<dt id="pyFTS.models.chen.ConventionalFTS.train">
Documentation update
2020-08-19 00:06:41 +04:00
<code class="sig-name descname">train</code><span class="sig-paren">(</span><em class="sig-param"><span class="n">data</span></em>, <em class="sig-param"><span class="o">**</span><span class="n">kwargs</span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/pyFTS/models/chen.html#ConventionalFTS.train"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#pyFTS.models.chen.ConventionalFTS.train" title="Permalink to this definition"></a></dt>
Sphinx documentation for ReadTheDocs site
2018-08-30 09:05:29 +04:00
<dd><p>Method specific parameter fitting</p>
Documentation update
2020-08-19 00:06:41 +04:00
<dl class="field-list simple">
<dt class="field-odd">Parameters</dt>
<dd class="field-odd"><ul class="simple">
<li><p><strong>data</strong> – training time series data</p></li>
<li><p><strong>kwargs</strong> – Method specific parameters</p></li>
Sphinx documentation for ReadTheDocs site
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</ul>
Documentation update
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</dd>
</dl>
Sphinx documentation for ReadTheDocs site
2018-08-30 09:05:29 +04:00
</dd></dl>
</dd></dl>
Updating the documentation
2018-08-30 23:04:52 +04:00
</div>
<div class="section" id="module-pyFTS.models.yu">
<span id="pyfts-models-yu-module"></span><h2>pyFTS.models.yu module<a class="headerlink" href="#module-pyFTS.models.yu" title="Permalink to this headline"></a></h2>
<p>First Order Weighted Fuzzy Time Series by Yu(2005)</p>
<p>H.-K. Yu, “Weighted fuzzy time series models for TAIEX forecasting,”
Phys. A Stat. Mech. its Appl., vol. 349, no. 3, pp. 609–624, 2005.</p>
Documentation update
2020-08-19 00:06:41 +04:00
<dl class="py class">
Updating the documentation
2018-08-30 23:04:52 +04:00
<dt id="pyFTS.models.yu.WeightedFLRG">
Documentation update
2020-08-19 00:06:41 +04:00
<em class="property">class </em><code class="sig-prename descclassname">pyFTS.models.yu.</code><code class="sig-name descname">WeightedFLRG</code><span class="sig-paren">(</span><em class="sig-param"><span class="n">LHS</span></em>, <em class="sig-param"><span class="o">**</span><span class="n">kwargs</span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/pyFTS/models/yu.html#WeightedFLRG"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#pyFTS.models.yu.WeightedFLRG" title="Permalink to this definition"></a></dt>
Updating the documentation
2018-08-30 23:04:52 +04:00
<dd><p>Bases: <a class="reference internal" href="pyFTS.common.html#pyFTS.common.flrg.FLRG" title="pyFTS.common.flrg.FLRG"><code class="xref py py-class docutils literal notranslate"><span class="pre">pyFTS.common.flrg.FLRG</span></code></a></p>
<p>First Order Weighted Fuzzy Logical Relationship Group</p>
Documentation update
2020-08-19 00:06:41 +04:00
<dl class="py method">
Updating the documentation
2018-08-30 23:04:52 +04:00
<dt id="pyFTS.models.yu.WeightedFLRG.append_rhs">
Documentation update
2020-08-19 00:06:41 +04:00
<code class="sig-name descname">append_rhs</code><span class="sig-paren">(</span><em class="sig-param"><span class="n">c</span></em>, <em class="sig-param"><span class="o">**</span><span class="n">kwargs</span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/pyFTS/models/yu.html#WeightedFLRG.append_rhs"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#pyFTS.models.yu.WeightedFLRG.append_rhs" title="Permalink to this definition"></a></dt>
Updating the documentation
2018-08-30 23:04:52 +04:00
<dd></dd></dl>
Documentation update
2020-08-19 00:06:41 +04:00
<dl class="py method">
Updating the documentation
2018-08-30 23:04:52 +04:00
<dt id="pyFTS.models.yu.WeightedFLRG.weights">
Documentation update
2020-08-19 00:06:41 +04:00
<code class="sig-name descname">weights</code><span class="sig-paren">(</span><em class="sig-param"><span class="n">sets</span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/pyFTS/models/yu.html#WeightedFLRG.weights"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#pyFTS.models.yu.WeightedFLRG.weights" title="Permalink to this definition"></a></dt>
Updating the documentation
2018-08-30 23:04:52 +04:00
<dd></dd></dl>
</dd></dl>
Documentation update
2020-08-19 00:06:41 +04:00
<dl class="py class">
Updating the documentation
2018-08-30 23:04:52 +04:00
<dt id="pyFTS.models.yu.WeightedFTS">
Documentation update
2020-08-19 00:06:41 +04:00
<em class="property">class </em><code class="sig-prename descclassname">pyFTS.models.yu.</code><code class="sig-name descname">WeightedFTS</code><span class="sig-paren">(</span><em class="sig-param"><span class="o">**</span><span class="n">kwargs</span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/pyFTS/models/yu.html#WeightedFTS"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#pyFTS.models.yu.WeightedFTS" title="Permalink to this definition"></a></dt>
Updating the documentation
2018-08-30 23:04:52 +04:00
<dd><p>Bases: <a class="reference internal" href="pyFTS.common.html#pyFTS.common.fts.FTS" title="pyFTS.common.fts.FTS"><code class="xref py py-class docutils literal notranslate"><span class="pre">pyFTS.common.fts.FTS</span></code></a></p>
<p>First Order Weighted Fuzzy Time Series</p>
Documentation update
2020-08-19 00:06:41 +04:00
<dl class="py method">
Updating the documentation
2018-08-30 23:04:52 +04:00
<dt id="pyFTS.models.yu.WeightedFTS.forecast">
Documentation update
2020-08-19 00:06:41 +04:00
<code class="sig-name descname">forecast</code><span class="sig-paren">(</span><em class="sig-param"><span class="n">ndata</span></em>, <em class="sig-param"><span class="o">**</span><span class="n">kwargs</span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/pyFTS/models/yu.html#WeightedFTS.forecast"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#pyFTS.models.yu.WeightedFTS.forecast" title="Permalink to this definition"></a></dt>
Updating the documentation
2018-08-30 23:04:52 +04:00
<dd><p>Point forecast one step ahead</p>
Documentation update
2020-08-19 00:06:41 +04:00
<dl class="field-list simple">
<dt class="field-odd">Parameters</dt>
<dd class="field-odd"><ul class="simple">
<li><p><strong>data</strong> – time series data with the minimal length equal to the max_lag of the model</p></li>
<li><p><strong>kwargs</strong> – model specific parameters</p></li>
Updating the documentation
2018-08-30 23:04:52 +04:00
</ul>
Documentation update
2020-08-19 00:06:41 +04:00
</dd>
<dt class="field-even">Returns</dt>
<dd class="field-even"><p>a list with the forecasted values</p>
</dd>
</dl>
Updating the documentation
2018-08-30 23:04:52 +04:00
</dd></dl>
Documentation update
2020-08-19 00:06:41 +04:00
<dl class="py method">
Updating the documentation
2018-08-30 23:04:52 +04:00
<dt id="pyFTS.models.yu.WeightedFTS.generate_FLRG">
Documentation update
2020-08-19 00:06:41 +04:00
<code class="sig-name descname">generate_FLRG</code><span class="sig-paren">(</span><em class="sig-param"><span class="n">flrs</span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/pyFTS/models/yu.html#WeightedFTS.generate_FLRG"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#pyFTS.models.yu.WeightedFTS.generate_FLRG" title="Permalink to this definition"></a></dt>
Updating the documentation
2018-08-30 23:04:52 +04:00
<dd></dd></dl>
Documentation update
2020-08-19 00:06:41 +04:00
<dl class="py method">
Updating the documentation
2018-08-30 23:04:52 +04:00
<dt id="pyFTS.models.yu.WeightedFTS.train">
Documentation update
2020-08-19 00:06:41 +04:00
<code class="sig-name descname">train</code><span class="sig-paren">(</span><em class="sig-param"><span class="n">ndata</span></em>, <em class="sig-param"><span class="o">**</span><span class="n">kwargs</span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/pyFTS/models/yu.html#WeightedFTS.train"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#pyFTS.models.yu.WeightedFTS.train" title="Permalink to this definition"></a></dt>
Updating the documentation
2018-08-30 23:04:52 +04:00
<dd><p>Method specific parameter fitting</p>
Documentation update
2020-08-19 00:06:41 +04:00
<dl class="field-list simple">
<dt class="field-odd">Parameters</dt>
<dd class="field-odd"><ul class="simple">
<li><p><strong>data</strong> – training time series data</p></li>
<li><p><strong>kwargs</strong> – Method specific parameters</p></li>
Updating the documentation
2018-08-30 23:04:52 +04:00
</ul>
Documentation update
2020-08-19 00:06:41 +04:00
</dd>
</dl>
Updating the documentation
2018-08-30 23:04:52 +04:00
</dd></dl>
</dd></dl>
Sphinx documentation for ReadTheDocs site
2018-08-30 09:05:29 +04:00
</div>
<div class="section" id="module-pyFTS.models.cheng">
<span id="pyfts-models-cheng-module"></span><h2>pyFTS.models.cheng module<a class="headerlink" href="#module-pyFTS.models.cheng" title="Permalink to this headline"></a></h2>
<p>Trend Weighted Fuzzy Time Series by Cheng, Chen and Wu (2009)</p>
<p>C.-H. Cheng, Y.-S. Chen, and Y.-L. Wu, “Forecasting innovation diffusion of products using trend-weighted fuzzy time-series model,”
Expert Syst. Appl., vol. 36, no. 2, pp. 1826–1832, 2009.</p>
Documentation update
2020-08-19 00:06:41 +04:00
<dl class="py class">
Sphinx documentation for ReadTheDocs site
2018-08-30 09:05:29 +04:00
<dt id="pyFTS.models.cheng.TrendWeightedFLRG">
Documentation update
2020-08-19 00:06:41 +04:00
<em class="property">class </em><code class="sig-prename descclassname">pyFTS.models.cheng.</code><code class="sig-name descname">TrendWeightedFLRG</code><span class="sig-paren">(</span><em class="sig-param"><span class="n">LHS</span></em>, <em class="sig-param"><span class="o">**</span><span class="n">kwargs</span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/pyFTS/models/cheng.html#TrendWeightedFLRG"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#pyFTS.models.cheng.TrendWeightedFLRG" title="Permalink to this definition"></a></dt>
Sphinx documentation for ReadTheDocs site
2018-08-30 09:05:29 +04:00
<dd><p>Bases: <a class="reference internal" href="#pyFTS.models.yu.WeightedFLRG" title="pyFTS.models.yu.WeightedFLRG"><code class="xref py py-class docutils literal notranslate"><span class="pre">pyFTS.models.yu.WeightedFLRG</span></code></a></p>
<p>First Order Trend Weighted Fuzzy Logical Relationship Group</p>
Documentation update
2020-08-19 00:06:41 +04:00
<dl class="py method">
Sphinx documentation for ReadTheDocs site
2018-08-30 09:05:29 +04:00
<dt id="pyFTS.models.cheng.TrendWeightedFLRG.weights">
Documentation update
2020-08-19 00:06:41 +04:00
<code class="sig-name descname">weights</code><span class="sig-paren">(</span><em class="sig-param"><span class="n">sets</span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/pyFTS/models/cheng.html#TrendWeightedFLRG.weights"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#pyFTS.models.cheng.TrendWeightedFLRG.weights" title="Permalink to this definition"></a></dt>
Sphinx documentation for ReadTheDocs site
2018-08-30 09:05:29 +04:00
<dd></dd></dl>
</dd></dl>
Documentation update
2020-08-19 00:06:41 +04:00
<dl class="py class">
Sphinx documentation for ReadTheDocs site
2018-08-30 09:05:29 +04:00
<dt id="pyFTS.models.cheng.TrendWeightedFTS">
Documentation update
2020-08-19 00:06:41 +04:00
<em class="property">class </em><code class="sig-prename descclassname">pyFTS.models.cheng.</code><code class="sig-name descname">TrendWeightedFTS</code><span class="sig-paren">(</span><em class="sig-param"><span class="o">**</span><span class="n">kwargs</span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/pyFTS/models/cheng.html#TrendWeightedFTS"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#pyFTS.models.cheng.TrendWeightedFTS" title="Permalink to this definition"></a></dt>
Sphinx documentation for ReadTheDocs site
2018-08-30 09:05:29 +04:00
<dd><p>Bases: <a class="reference internal" href="#pyFTS.models.yu.WeightedFTS" title="pyFTS.models.yu.WeightedFTS"><code class="xref py py-class docutils literal notranslate"><span class="pre">pyFTS.models.yu.WeightedFTS</span></code></a></p>
<p>First Order Trend Weighted Fuzzy Time Series</p>
Documentation update
2020-08-19 00:06:41 +04:00
<dl class="py method">
Sphinx documentation for ReadTheDocs site
2018-08-30 09:05:29 +04:00
<dt id="pyFTS.models.cheng.TrendWeightedFTS.generate_FLRG">
Documentation update
2020-08-19 00:06:41 +04:00
<code class="sig-name descname">generate_FLRG</code><span class="sig-paren">(</span><em class="sig-param"><span class="n">flrs</span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/pyFTS/models/cheng.html#TrendWeightedFTS.generate_FLRG"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#pyFTS.models.cheng.TrendWeightedFTS.generate_FLRG" title="Permalink to this definition"></a></dt>
Sphinx documentation for ReadTheDocs site
2018-08-30 09:05:29 +04:00
<dd></dd></dl>
</dd></dl>
</div>
<div class="section" id="module-pyFTS.models.hofts">
<span id="pyfts-models-hofts-module"></span><h2>pyFTS.models.hofts module<a class="headerlink" href="#module-pyFTS.models.hofts" title="Permalink to this headline"></a></h2>
<p>High Order FTS</p>
<p>Severiano, S. A. Jr; Silva, P. C. L.; Sadaei, H. J.; Guimarães, F. G. Very Short-term Solar Forecasting
using Fuzzy Time Series. 2017 IEEE International Conference on Fuzzy Systems. DOI10.1109/FUZZ-IEEE.2017.8015732</p>
Documentation update
2020-08-19 00:06:41 +04:00
<dl class="py class">
Sphinx documentation for ReadTheDocs site
2018-08-30 09:05:29 +04:00
<dt id="pyFTS.models.hofts.HighOrderFLRG">
Documentation update
2020-08-19 00:06:41 +04:00
<em class="property">class </em><code class="sig-prename descclassname">pyFTS.models.hofts.</code><code class="sig-name descname">HighOrderFLRG</code><span class="sig-paren">(</span><em class="sig-param"><span class="n">order</span></em>, <em class="sig-param"><span class="o">**</span><span class="n">kwargs</span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/pyFTS/models/hofts.html#HighOrderFLRG"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#pyFTS.models.hofts.HighOrderFLRG" title="Permalink to this definition"></a></dt>
Sphinx documentation for ReadTheDocs site
2018-08-30 09:05:29 +04:00
<dd><p>Bases: <a class="reference internal" href="pyFTS.common.html#pyFTS.common.flrg.FLRG" title="pyFTS.common.flrg.FLRG"><code class="xref py py-class docutils literal notranslate"><span class="pre">pyFTS.common.flrg.FLRG</span></code></a></p>
<p>Conventional High Order Fuzzy Logical Relationship Group</p>
Documentation update
2020-08-19 00:06:41 +04:00
<dl class="py method">
Sphinx documentation for ReadTheDocs site
2018-08-30 09:05:29 +04:00
<dt id="pyFTS.models.hofts.HighOrderFLRG.append_lhs">
Documentation update
2020-08-19 00:06:41 +04:00
<code class="sig-name descname">append_lhs</code><span class="sig-paren">(</span><em class="sig-param"><span class="n">c</span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/pyFTS/models/hofts.html#HighOrderFLRG.append_lhs"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#pyFTS.models.hofts.HighOrderFLRG.append_lhs" title="Permalink to this definition"></a></dt>
Sphinx documentation for ReadTheDocs site
2018-08-30 09:05:29 +04:00
<dd></dd></dl>
Documentation update
2020-08-19 00:06:41 +04:00
<dl class="py method">
Sphinx documentation for ReadTheDocs site
2018-08-30 09:05:29 +04:00
<dt id="pyFTS.models.hofts.HighOrderFLRG.append_rhs">
Documentation update
2020-08-19 00:06:41 +04:00
<code class="sig-name descname">append_rhs</code><span class="sig-paren">(</span><em class="sig-param"><span class="n">c</span></em>, <em class="sig-param"><span class="o">**</span><span class="n">kwargs</span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/pyFTS/models/hofts.html#HighOrderFLRG.append_rhs"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#pyFTS.models.hofts.HighOrderFLRG.append_rhs" title="Permalink to this definition"></a></dt>
Sphinx documentation for ReadTheDocs site
2018-08-30 09:05:29 +04:00
<dd></dd></dl>
</dd></dl>
Documentation update
2020-08-19 00:06:41 +04:00
<dl class="py class">
Sphinx documentation for ReadTheDocs site
2018-08-30 09:05:29 +04:00
<dt id="pyFTS.models.hofts.HighOrderFTS">
Documentation update
2020-08-19 00:06:41 +04:00
<em class="property">class </em><code class="sig-prename descclassname">pyFTS.models.hofts.</code><code class="sig-name descname">HighOrderFTS</code><span class="sig-paren">(</span><em class="sig-param"><span class="o">**</span><span class="n">kwargs</span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/pyFTS/models/hofts.html#HighOrderFTS"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#pyFTS.models.hofts.HighOrderFTS" title="Permalink to this definition"></a></dt>
Sphinx documentation for ReadTheDocs site
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<dd><p>Bases: <a class="reference internal" href="pyFTS.common.html#pyFTS.common.fts.FTS" title="pyFTS.common.fts.FTS"><code class="xref py py-class docutils literal notranslate"><span class="pre">pyFTS.common.fts.FTS</span></code></a></p>
<p>Conventional High Order Fuzzy Time Series</p>
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<dl class="py method">
Sphinx documentation for ReadTheDocs site
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<dt id="pyFTS.models.hofts.HighOrderFTS.configure_lags">
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<code class="sig-name descname">configure_lags</code><span class="sig-paren">(</span><em class="sig-param"><span class="o">**</span><span class="n">kwargs</span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/pyFTS/models/hofts.html#HighOrderFTS.configure_lags"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#pyFTS.models.hofts.HighOrderFTS.configure_lags" title="Permalink to this definition"></a></dt>
Sphinx documentation for ReadTheDocs site
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<dd></dd></dl>
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<dl class="py method">
Sphinx documentation for ReadTheDocs site
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<dt id="pyFTS.models.hofts.HighOrderFTS.forecast">
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<code class="sig-name descname">forecast</code><span class="sig-paren">(</span><em class="sig-param"><span class="n">ndata</span></em>, <em class="sig-param"><span class="o">**</span><span class="n">kwargs</span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/pyFTS/models/hofts.html#HighOrderFTS.forecast"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#pyFTS.models.hofts.HighOrderFTS.forecast" title="Permalink to this definition"></a></dt>
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<dd><p>Point forecast one step ahead</p>
Documentation update
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<dl class="field-list simple">
<dt class="field-odd">Parameters</dt>
<dd class="field-odd"><ul class="simple">
<li><p><strong>data</strong> – time series data with the minimal length equal to the max_lag of the model</p></li>
<li><p><strong>kwargs</strong> – model specific parameters</p></li>
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</ul>
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</dd>
<dt class="field-even">Returns</dt>
<dd class="field-even"><p>a list with the forecasted values</p>
</dd>
</dl>
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</dd></dl>
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<dl class="py method">
Sphinx documentation for ReadTheDocs site
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<dt id="pyFTS.models.hofts.HighOrderFTS.generate_flrg">
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<code class="sig-name descname">generate_flrg</code><span class="sig-paren">(</span><em class="sig-param"><span class="n">data</span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/pyFTS/models/hofts.html#HighOrderFTS.generate_flrg"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#pyFTS.models.hofts.HighOrderFTS.generate_flrg" title="Permalink to this definition"></a></dt>
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<dd></dd></dl>
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<dl class="py method">
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<dt id="pyFTS.models.hofts.HighOrderFTS.generate_flrg_fuzzyfied">
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<code class="sig-name descname">generate_flrg_fuzzyfied</code><span class="sig-paren">(</span><em class="sig-param"><span class="n">data</span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/pyFTS/models/hofts.html#HighOrderFTS.generate_flrg_fuzzyfied"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#pyFTS.models.hofts.HighOrderFTS.generate_flrg_fuzzyfied" title="Permalink to this definition"></a></dt>
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<dd></dd></dl>
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<dl class="py method">
Sphinx documentation for ReadTheDocs site
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<dt id="pyFTS.models.hofts.HighOrderFTS.generate_lhs_flrg">
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<code class="sig-name descname">generate_lhs_flrg</code><span class="sig-paren">(</span><em class="sig-param"><span class="n">sample</span></em>, <em class="sig-param"><span class="n">explain</span><span class="o">=</span><span class="default_value">False</span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/pyFTS/models/hofts.html#HighOrderFTS.generate_lhs_flrg"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#pyFTS.models.hofts.HighOrderFTS.generate_lhs_flrg" title="Permalink to this definition"></a></dt>
Sphinx documentation for ReadTheDocs site
2018-08-30 09:05:29 +04:00
<dd></dd></dl>
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<dl class="py method">
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<dt id="pyFTS.models.hofts.HighOrderFTS.generate_lhs_flrg_fuzzyfied">
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<code class="sig-name descname">generate_lhs_flrg_fuzzyfied</code><span class="sig-paren">(</span><em class="sig-param"><span class="n">sample</span></em>, <em class="sig-param"><span class="n">explain</span><span class="o">=</span><span class="default_value">False</span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/pyFTS/models/hofts.html#HighOrderFTS.generate_lhs_flrg_fuzzyfied"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#pyFTS.models.hofts.HighOrderFTS.generate_lhs_flrg_fuzzyfied" title="Permalink to this definition"></a></dt>
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<dd></dd></dl>
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Sphinx documentation for ReadTheDocs site
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<dt id="pyFTS.models.hofts.HighOrderFTS.train">
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<code class="sig-name descname">train</code><span class="sig-paren">(</span><em class="sig-param"><span class="n">data</span></em>, <em class="sig-param"><span class="o">**</span><span class="n">kwargs</span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/pyFTS/models/hofts.html#HighOrderFTS.train"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#pyFTS.models.hofts.HighOrderFTS.train" title="Permalink to this definition"></a></dt>
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<dd><p>Method specific parameter fitting</p>
Documentation update
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<dl class="field-list simple">
<dt class="field-odd">Parameters</dt>
<dd class="field-odd"><ul class="simple">
<li><p><strong>data</strong> – training time series data</p></li>
<li><p><strong>kwargs</strong> – Method specific parameters</p></li>
Sphinx documentation for ReadTheDocs site
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</ul>
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</dd>
</dl>
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</dd></dl>
</dd></dl>
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<dl class="py class">
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<dt id="pyFTS.models.hofts.WeightedHighOrderFLRG">
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<em class="property">class </em><code class="sig-prename descclassname">pyFTS.models.hofts.</code><code class="sig-name descname">WeightedHighOrderFLRG</code><span class="sig-paren">(</span><em class="sig-param"><span class="n">order</span></em>, <em class="sig-param"><span class="o">**</span><span class="n">kwargs</span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/pyFTS/models/hofts.html#WeightedHighOrderFLRG"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#pyFTS.models.hofts.WeightedHighOrderFLRG" title="Permalink to this definition"></a></dt>
Documentation update
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<dd><p>Bases: <a class="reference internal" href="pyFTS.common.html#pyFTS.common.flrg.FLRG" title="pyFTS.common.flrg.FLRG"><code class="xref py py-class docutils literal notranslate"><span class="pre">pyFTS.common.flrg.FLRG</span></code></a></p>
<p>Weighted High Order Fuzzy Logical Relationship Group</p>
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<dl class="py method">
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<dt id="pyFTS.models.hofts.WeightedHighOrderFLRG.append_lhs">
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<code class="sig-name descname">append_lhs</code><span class="sig-paren">(</span><em class="sig-param"><span class="n">c</span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/pyFTS/models/hofts.html#WeightedHighOrderFLRG.append_lhs"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#pyFTS.models.hofts.WeightedHighOrderFLRG.append_lhs" title="Permalink to this definition"></a></dt>
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<dd></dd></dl>
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<dl class="py method">
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<dt id="pyFTS.models.hofts.WeightedHighOrderFLRG.append_rhs">
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<code class="sig-name descname">append_rhs</code><span class="sig-paren">(</span><em class="sig-param"><span class="n">fset</span></em>, <em class="sig-param"><span class="o">**</span><span class="n">kwargs</span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/pyFTS/models/hofts.html#WeightedHighOrderFLRG.append_rhs"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#pyFTS.models.hofts.WeightedHighOrderFLRG.append_rhs" title="Permalink to this definition"></a></dt>
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<dd></dd></dl>
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<dt id="pyFTS.models.hofts.WeightedHighOrderFLRG.get_lower">
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<code class="sig-name descname">get_lower</code><span class="sig-paren">(</span><em class="sig-param"><span class="n">sets</span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/pyFTS/models/hofts.html#WeightedHighOrderFLRG.get_lower"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#pyFTS.models.hofts.WeightedHighOrderFLRG.get_lower" title="Permalink to this definition"></a></dt>
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<dd><p>Returns the lower bound value for the RHS fuzzy sets</p>
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<dl class="field-list simple">
<dt class="field-odd">Parameters</dt>
<dd class="field-odd"><p><strong>sets</strong> – fuzzy sets</p>
</dd>
<dt class="field-even">Returns</dt>
<dd class="field-even"><p>lower bound value</p>
</dd>
</dl>
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</dd></dl>
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<dt id="pyFTS.models.hofts.WeightedHighOrderFLRG.get_midpoint">
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<code class="sig-name descname">get_midpoint</code><span class="sig-paren">(</span><em class="sig-param"><span class="n">sets</span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/pyFTS/models/hofts.html#WeightedHighOrderFLRG.get_midpoint"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#pyFTS.models.hofts.WeightedHighOrderFLRG.get_midpoint" title="Permalink to this definition"></a></dt>
Documentation update
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<dd><p>Returns the midpoint value for the RHS fuzzy sets</p>
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<dl class="field-list simple">
<dt class="field-odd">Parameters</dt>
<dd class="field-odd"><p><strong>sets</strong> – fuzzy sets</p>
</dd>
<dt class="field-even">Returns</dt>
<dd class="field-even"><p>the midpoint value</p>
</dd>
</dl>
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</dd></dl>
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<dt id="pyFTS.models.hofts.WeightedHighOrderFLRG.get_upper">
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<code class="sig-name descname">get_upper</code><span class="sig-paren">(</span><em class="sig-param"><span class="n">sets</span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/pyFTS/models/hofts.html#WeightedHighOrderFLRG.get_upper"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#pyFTS.models.hofts.WeightedHighOrderFLRG.get_upper" title="Permalink to this definition"></a></dt>
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<dd><p>Returns the upper bound value for the RHS fuzzy sets</p>
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<dl class="field-list simple">
<dt class="field-odd">Parameters</dt>
<dd class="field-odd"><p><strong>sets</strong> – fuzzy sets</p>
</dd>
<dt class="field-even">Returns</dt>
<dd class="field-even"><p>upper bound value</p>
</dd>
</dl>
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</dd></dl>
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<dt id="pyFTS.models.hofts.WeightedHighOrderFLRG.weights">
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<code class="sig-name descname">weights</code><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="reference internal" href="_modules/pyFTS/models/hofts.html#WeightedHighOrderFLRG.weights"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#pyFTS.models.hofts.WeightedHighOrderFLRG.weights" title="Permalink to this definition"></a></dt>
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<dd></dd></dl>
</dd></dl>
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<dl class="py class">
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<dt id="pyFTS.models.hofts.WeightedHighOrderFTS">
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<em class="property">class </em><code class="sig-prename descclassname">pyFTS.models.hofts.</code><code class="sig-name descname">WeightedHighOrderFTS</code><span class="sig-paren">(</span><em class="sig-param"><span class="o">**</span><span class="n">kwargs</span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/pyFTS/models/hofts.html#WeightedHighOrderFTS"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#pyFTS.models.hofts.WeightedHighOrderFTS" title="Permalink to this definition"></a></dt>
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<dd><p>Bases: <a class="reference internal" href="#pyFTS.models.hofts.HighOrderFTS" title="pyFTS.models.hofts.HighOrderFTS"><code class="xref py py-class docutils literal notranslate"><span class="pre">pyFTS.models.hofts.HighOrderFTS</span></code></a></p>
<p>Weighted High Order Fuzzy Time Series</p>
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<dl class="py method">
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<dt id="pyFTS.models.hofts.WeightedHighOrderFTS.generate_lhs_flrg_fuzzyfied">
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<code class="sig-name descname">generate_lhs_flrg_fuzzyfied</code><span class="sig-paren">(</span><em class="sig-param"><span class="n">sample</span></em>, <em class="sig-param"><span class="n">explain</span><span class="o">=</span><span class="default_value">False</span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/pyFTS/models/hofts.html#WeightedHighOrderFTS.generate_lhs_flrg_fuzzyfied"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#pyFTS.models.hofts.WeightedHighOrderFTS.generate_lhs_flrg_fuzzyfied" title="Permalink to this definition"></a></dt>
Documentation update
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<dd></dd></dl>
</dd></dl>
Sphinx documentation for ReadTheDocs site
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</div>
<div class="section" id="module-pyFTS.models.hwang">
<span id="pyfts-models-hwang-module"></span><h2>pyFTS.models.hwang module<a class="headerlink" href="#module-pyFTS.models.hwang" title="Permalink to this headline"></a></h2>
<p>High Order Fuzzy Time Series by Hwang, Chen and Lee (1998)</p>
<p>Jeng-Ren Hwang, Shyi-Ming Chen, and Chia-Hoang Lee, “Handling forecasting problems using fuzzy time series,”
Fuzzy Sets Syst., no. 100, pp. 217–228, 1998.</p>
Documentation update
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<dl class="py class">
Sphinx documentation for ReadTheDocs site
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<dt id="pyFTS.models.hwang.HighOrderFTS">
Documentation update
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<em class="property">class </em><code class="sig-prename descclassname">pyFTS.models.hwang.</code><code class="sig-name descname">HighOrderFTS</code><span class="sig-paren">(</span><em class="sig-param"><span class="o">**</span><span class="n">kwargs</span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/pyFTS/models/hwang.html#HighOrderFTS"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#pyFTS.models.hwang.HighOrderFTS" title="Permalink to this definition"></a></dt>
Sphinx documentation for ReadTheDocs site
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<dd><p>Bases: <a class="reference internal" href="pyFTS.common.html#pyFTS.common.fts.FTS" title="pyFTS.common.fts.FTS"><code class="xref py py-class docutils literal notranslate"><span class="pre">pyFTS.common.fts.FTS</span></code></a></p>
Documentation update
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<dl class="py method">
Sphinx documentation for ReadTheDocs site
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<dt id="pyFTS.models.hwang.HighOrderFTS.configure_lags">
Documentation update
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<code class="sig-name descname">configure_lags</code><span class="sig-paren">(</span><em class="sig-param"><span class="o">**</span><span class="n">kwargs</span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/pyFTS/models/hwang.html#HighOrderFTS.configure_lags"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#pyFTS.models.hwang.HighOrderFTS.configure_lags" title="Permalink to this definition"></a></dt>
Sphinx documentation for ReadTheDocs site
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<dd></dd></dl>
Documentation update
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<dl class="py method">
Sphinx documentation for ReadTheDocs site
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<dt id="pyFTS.models.hwang.HighOrderFTS.forecast">
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<code class="sig-name descname">forecast</code><span class="sig-paren">(</span><em class="sig-param"><span class="n">ndata</span></em>, <em class="sig-param"><span class="o">**</span><span class="n">kwargs</span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/pyFTS/models/hwang.html#HighOrderFTS.forecast"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#pyFTS.models.hwang.HighOrderFTS.forecast" title="Permalink to this definition"></a></dt>
Sphinx documentation for ReadTheDocs site
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<dd><p>Point forecast one step ahead</p>
Documentation update
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<dl class="field-list simple">
<dt class="field-odd">Parameters</dt>
<dd class="field-odd"><ul class="simple">
<li><p><strong>data</strong> – time series data with the minimal length equal to the max_lag of the model</p></li>
<li><p><strong>kwargs</strong> – model specific parameters</p></li>
Sphinx documentation for ReadTheDocs site
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</ul>
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</dd>
<dt class="field-even">Returns</dt>
<dd class="field-even"><p>a list with the forecasted values</p>
</dd>
</dl>
Sphinx documentation for ReadTheDocs site
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</dd></dl>
Documentation update
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<dl class="py method">
Sphinx documentation for ReadTheDocs site
2018-08-30 09:05:29 +04:00
<dt id="pyFTS.models.hwang.HighOrderFTS.train">
Documentation update
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<code class="sig-name descname">train</code><span class="sig-paren">(</span><em class="sig-param"><span class="n">data</span></em>, <em class="sig-param"><span class="o">**</span><span class="n">kwargs</span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/pyFTS/models/hwang.html#HighOrderFTS.train"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#pyFTS.models.hwang.HighOrderFTS.train" title="Permalink to this definition"></a></dt>
Sphinx documentation for ReadTheDocs site
2018-08-30 09:05:29 +04:00
<dd><p>Method specific parameter fitting</p>
Documentation update
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<dl class="field-list simple">
<dt class="field-odd">Parameters</dt>
<dd class="field-odd"><ul class="simple">
<li><p><strong>data</strong> – training time series data</p></li>
<li><p><strong>kwargs</strong> – Method specific parameters</p></li>
Sphinx documentation for ReadTheDocs site
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</ul>
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</dd>
</dl>
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</dd></dl>
</dd></dl>
</div>
<div class="section" id="module-pyFTS.models.ifts">
<span id="pyfts-models-ifts-module"></span><h2>pyFTS.models.ifts module<a class="headerlink" href="#module-pyFTS.models.ifts" title="Permalink to this headline"></a></h2>
<p>High Order Interval Fuzzy Time Series</p>
<p>SILVA, Petrônio CL; SADAEI, Hossein Javedani; GUIMARÃES, Frederico Gadelha. Interval Forecasting with Fuzzy Time Series.
In: Computational Intelligence (SSCI), 2016 IEEE Symposium Series on. IEEE, 2016. p. 1-8.</p>
Documentation update
2020-08-19 00:06:41 +04:00
<dl class="py class">
Sphinx documentation for ReadTheDocs site
2018-08-30 09:05:29 +04:00
<dt id="pyFTS.models.ifts.IntervalFTS">
Documentation update
2020-08-19 00:06:41 +04:00
<em class="property">class </em><code class="sig-prename descclassname">pyFTS.models.ifts.</code><code class="sig-name descname">IntervalFTS</code><span class="sig-paren">(</span><em class="sig-param"><span class="o">**</span><span class="n">kwargs</span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/pyFTS/models/ifts.html#IntervalFTS"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#pyFTS.models.ifts.IntervalFTS" title="Permalink to this definition"></a></dt>
New benchmarks.Tests module; Improvements on forecast_ahead_* function; Documentation update
2019-06-06 18:04:20 +04:00
<dd><p>Bases: <a class="reference internal" href="#pyFTS.models.hofts.HighOrderFTS" title="pyFTS.models.hofts.HighOrderFTS"><code class="xref py py-class docutils literal notranslate"><span class="pre">pyFTS.models.hofts.HighOrderFTS</span></code></a></p>
Sphinx documentation for ReadTheDocs site
2018-08-30 09:05:29 +04:00
<p>High Order Interval Fuzzy Time Series</p>
Documentation update
2020-08-19 00:06:41 +04:00
<dl class="py method">
New benchmarks.Tests module; Improvements on forecast_ahead_* function; Documentation update
2019-06-06 18:04:20 +04:00
<dt id="pyFTS.models.ifts.IntervalFTS.forecast_ahead_interval">
Documentation update
2020-08-19 00:06:41 +04:00
<code class="sig-name descname">forecast_ahead_interval</code><span class="sig-paren">(</span><em class="sig-param"><span class="n">data</span></em>, <em class="sig-param"><span class="n">steps</span></em>, <em class="sig-param"><span class="o">**</span><span class="n">kwargs</span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/pyFTS/models/ifts.html#IntervalFTS.forecast_ahead_interval"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#pyFTS.models.ifts.IntervalFTS.forecast_ahead_interval" title="Permalink to this definition"></a></dt>
New benchmarks.Tests module; Improvements on forecast_ahead_* function; Documentation update
2019-06-06 18:04:20 +04:00
<dd><p>Interval forecast n steps ahead</p>
Documentation update
2020-08-19 00:06:41 +04:00
<dl class="field-list simple">
<dt class="field-odd">Parameters</dt>
<dd class="field-odd"><ul class="simple">
<li><p><strong>data</strong> – time series data with the minimal length equal to the max_lag of the model</p></li>
<li><p><strong>steps</strong> – the number of steps ahead to forecast</p></li>
<li><p><strong>start_at</strong> – in the multi step forecasting, the index of the data where to start forecasting (default: 0)</p></li>
New benchmarks.Tests module; Improvements on forecast_ahead_* function; Documentation update
2019-06-06 18:04:20 +04:00
</ul>
Documentation update
2020-08-19 00:06:41 +04:00
</dd>
<dt class="field-even">Returns</dt>
<dd class="field-even"><p>a list with the forecasted intervals</p>
</dd>
</dl>
New benchmarks.Tests module; Improvements on forecast_ahead_* function; Documentation update
2019-06-06 18:04:20 +04:00
</dd></dl>
Documentation update
2020-08-19 00:06:41 +04:00
<dl class="py method">
Sphinx documentation for ReadTheDocs site
2018-08-30 09:05:29 +04:00
<dt id="pyFTS.models.ifts.IntervalFTS.forecast_interval">
Documentation update
2020-08-19 00:06:41 +04:00
<code class="sig-name descname">forecast_interval</code><span class="sig-paren">(</span><em class="sig-param"><span class="n">ndata</span></em>, <em class="sig-param"><span class="o">**</span><span class="n">kwargs</span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/pyFTS/models/ifts.html#IntervalFTS.forecast_interval"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#pyFTS.models.ifts.IntervalFTS.forecast_interval" title="Permalink to this definition"></a></dt>
Sphinx documentation for ReadTheDocs site
2018-08-30 09:05:29 +04:00
<dd><p>Interval forecast one step ahead</p>
Documentation update
2020-08-19 00:06:41 +04:00
<dl class="field-list simple">
<dt class="field-odd">Parameters</dt>
<dd class="field-odd"><ul class="simple">
<li><p><strong>data</strong> – time series data with the minimal length equal to the max_lag of the model</p></li>
<li><p><strong>kwargs</strong> – model specific parameters</p></li>
Sphinx documentation for ReadTheDocs site
2018-08-30 09:05:29 +04:00
</ul>
Documentation update
2020-08-19 00:06:41 +04:00
</dd>
<dt class="field-even">Returns</dt>
<dd class="field-even"><p>a list with the prediction intervals</p>
</dd>
</dl>
Sphinx documentation for ReadTheDocs site
2018-08-30 09:05:29 +04:00
</dd></dl>
Documentation update
2020-08-19 00:06:41 +04:00
<dl class="py method">
Sphinx documentation for ReadTheDocs site
2018-08-30 09:05:29 +04:00
<dt id="pyFTS.models.ifts.IntervalFTS.get_lower">
Documentation update
2020-08-19 00:06:41 +04:00
<code class="sig-name descname">get_lower</code><span class="sig-paren">(</span><em class="sig-param"><span class="n">flrg</span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/pyFTS/models/ifts.html#IntervalFTS.get_lower"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#pyFTS.models.ifts.IntervalFTS.get_lower" title="Permalink to this definition"></a></dt>
Sphinx documentation for ReadTheDocs site
2018-08-30 09:05:29 +04:00
<dd></dd></dl>
Documentation update
2020-08-19 00:06:41 +04:00
<dl class="py method">
Sphinx documentation for ReadTheDocs site
2018-08-30 09:05:29 +04:00
<dt id="pyFTS.models.ifts.IntervalFTS.get_sequence_membership">
Documentation update
2020-08-19 00:06:41 +04:00
<code class="sig-name descname">get_sequence_membership</code><span class="sig-paren">(</span><em class="sig-param"><span class="n">data</span></em>, <em class="sig-param"><span class="n">fuzzySets</span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/pyFTS/models/ifts.html#IntervalFTS.get_sequence_membership"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#pyFTS.models.ifts.IntervalFTS.get_sequence_membership" title="Permalink to this definition"></a></dt>
Sphinx documentation for ReadTheDocs site
2018-08-30 09:05:29 +04:00
<dd></dd></dl>
Documentation update
2020-08-19 00:06:41 +04:00
<dl class="py method">
Sphinx documentation for ReadTheDocs site
2018-08-30 09:05:29 +04:00
<dt id="pyFTS.models.ifts.IntervalFTS.get_upper">
Documentation update
2020-08-19 00:06:41 +04:00
<code class="sig-name descname">get_upper</code><span class="sig-paren">(</span><em class="sig-param"><span class="n">flrg</span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/pyFTS/models/ifts.html#IntervalFTS.get_upper"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#pyFTS.models.ifts.IntervalFTS.get_upper" title="Permalink to this definition"></a></dt>
New benchmarks.Tests module; Improvements on forecast_ahead_* function; Documentation update
2019-06-06 18:04:20 +04:00
<dd></dd></dl>
</dd></dl>
Documentation update
2020-08-19 00:06:41 +04:00
<dl class="py class">
New benchmarks.Tests module; Improvements on forecast_ahead_* function; Documentation update
2019-06-06 18:04:20 +04:00
<dt id="pyFTS.models.ifts.WeightedIntervalFTS">
Documentation update
2020-08-19 00:06:41 +04:00
<em class="property">class </em><code class="sig-prename descclassname">pyFTS.models.ifts.</code><code class="sig-name descname">WeightedIntervalFTS</code><span class="sig-paren">(</span><em class="sig-param"><span class="o">**</span><span class="n">kwargs</span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/pyFTS/models/ifts.html#WeightedIntervalFTS"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#pyFTS.models.ifts.WeightedIntervalFTS" title="Permalink to this definition"></a></dt>
New benchmarks.Tests module; Improvements on forecast_ahead_* function; Documentation update
2019-06-06 18:04:20 +04:00
<dd><p>Bases: <a class="reference internal" href="#pyFTS.models.hofts.WeightedHighOrderFTS" title="pyFTS.models.hofts.WeightedHighOrderFTS"><code class="xref py py-class docutils literal notranslate"><span class="pre">pyFTS.models.hofts.WeightedHighOrderFTS</span></code></a></p>
<p>Weighted High Order Interval Fuzzy Time Series</p>
Documentation update
2020-08-19 00:06:41 +04:00
<dl class="py method">
New benchmarks.Tests module; Improvements on forecast_ahead_* function; Documentation update
2019-06-06 18:04:20 +04:00
<dt id="pyFTS.models.ifts.WeightedIntervalFTS.forecast_ahead_interval">
Documentation update
2020-08-19 00:06:41 +04:00
<code class="sig-name descname">forecast_ahead_interval</code><span class="sig-paren">(</span><em class="sig-param"><span class="n">data</span></em>, <em class="sig-param"><span class="n">steps</span></em>, <em class="sig-param"><span class="o">**</span><span class="n">kwargs</span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/pyFTS/models/ifts.html#WeightedIntervalFTS.forecast_ahead_interval"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#pyFTS.models.ifts.WeightedIntervalFTS.forecast_ahead_interval" title="Permalink to this definition"></a></dt>
New benchmarks.Tests module; Improvements on forecast_ahead_* function; Documentation update
2019-06-06 18:04:20 +04:00
<dd><p>Interval forecast n steps ahead</p>
Documentation update
2020-08-19 00:06:41 +04:00
<dl class="field-list simple">
<dt class="field-odd">Parameters</dt>
<dd class="field-odd"><ul class="simple">
<li><p><strong>data</strong> – time series data with the minimal length equal to the max_lag of the model</p></li>
<li><p><strong>steps</strong> – the number of steps ahead to forecast</p></li>
<li><p><strong>start_at</strong> – in the multi step forecasting, the index of the data where to start forecasting (default: 0)</p></li>
New benchmarks.Tests module; Improvements on forecast_ahead_* function; Documentation update
2019-06-06 18:04:20 +04:00
</ul>
Documentation update
2020-08-19 00:06:41 +04:00
</dd>
<dt class="field-even">Returns</dt>
<dd class="field-even"><p>a list with the forecasted intervals</p>
</dd>
</dl>
New benchmarks.Tests module; Improvements on forecast_ahead_* function; Documentation update
2019-06-06 18:04:20 +04:00
</dd></dl>
Documentation update
2020-08-19 00:06:41 +04:00
<dl class="py method">
New benchmarks.Tests module; Improvements on forecast_ahead_* function; Documentation update
2019-06-06 18:04:20 +04:00
<dt id="pyFTS.models.ifts.WeightedIntervalFTS.forecast_interval">
Documentation update
2020-08-19 00:06:41 +04:00
<code class="sig-name descname">forecast_interval</code><span class="sig-paren">(</span><em class="sig-param"><span class="n">ndata</span></em>, <em class="sig-param"><span class="o">**</span><span class="n">kwargs</span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/pyFTS/models/ifts.html#WeightedIntervalFTS.forecast_interval"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#pyFTS.models.ifts.WeightedIntervalFTS.forecast_interval" title="Permalink to this definition"></a></dt>
New benchmarks.Tests module; Improvements on forecast_ahead_* function; Documentation update
2019-06-06 18:04:20 +04:00
<dd><p>Interval forecast one step ahead</p>
Documentation update
2020-08-19 00:06:41 +04:00
<dl class="field-list simple">
<dt class="field-odd">Parameters</dt>
<dd class="field-odd"><ul class="simple">
<li><p><strong>data</strong> – time series data with the minimal length equal to the max_lag of the model</p></li>
<li><p><strong>kwargs</strong> – model specific parameters</p></li>
New benchmarks.Tests module; Improvements on forecast_ahead_* function; Documentation update
2019-06-06 18:04:20 +04:00
</ul>
Documentation update
2020-08-19 00:06:41 +04:00
</dd>
<dt class="field-even">Returns</dt>
<dd class="field-even"><p>a list with the prediction intervals</p>
</dd>
</dl>
New benchmarks.Tests module; Improvements on forecast_ahead_* function; Documentation update
2019-06-06 18:04:20 +04:00
</dd></dl>
Documentation update
2020-08-19 00:06:41 +04:00
<dl class="py method">
New benchmarks.Tests module; Improvements on forecast_ahead_* function; Documentation update
2019-06-06 18:04:20 +04:00
<dt id="pyFTS.models.ifts.WeightedIntervalFTS.get_lower">
Documentation update
2020-08-19 00:06:41 +04:00
<code class="sig-name descname">get_lower</code><span class="sig-paren">(</span><em class="sig-param"><span class="n">flrg</span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/pyFTS/models/ifts.html#WeightedIntervalFTS.get_lower"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#pyFTS.models.ifts.WeightedIntervalFTS.get_lower" title="Permalink to this definition"></a></dt>
New benchmarks.Tests module; Improvements on forecast_ahead_* function; Documentation update
2019-06-06 18:04:20 +04:00
<dd></dd></dl>
Documentation update
2020-08-19 00:06:41 +04:00
<dl class="py method">
New benchmarks.Tests module; Improvements on forecast_ahead_* function; Documentation update
2019-06-06 18:04:20 +04:00
<dt id="pyFTS.models.ifts.WeightedIntervalFTS.get_sequence_membership">
Documentation update
2020-08-19 00:06:41 +04:00
<code class="sig-name descname">get_sequence_membership</code><span class="sig-paren">(</span><em class="sig-param"><span class="n">data</span></em>, <em class="sig-param"><span class="n">fuzzySets</span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/pyFTS/models/ifts.html#WeightedIntervalFTS.get_sequence_membership"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#pyFTS.models.ifts.WeightedIntervalFTS.get_sequence_membership" title="Permalink to this definition"></a></dt>
New benchmarks.Tests module; Improvements on forecast_ahead_* function; Documentation update
2019-06-06 18:04:20 +04:00
<dd></dd></dl>
Documentation update
2020-08-19 00:06:41 +04:00
<dl class="py method">
New benchmarks.Tests module; Improvements on forecast_ahead_* function; Documentation update
2019-06-06 18:04:20 +04:00
<dt id="pyFTS.models.ifts.WeightedIntervalFTS.get_upper">
Documentation update
2020-08-19 00:06:41 +04:00
<code class="sig-name descname">get_upper</code><span class="sig-paren">(</span><em class="sig-param"><span class="n">flrg</span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/pyFTS/models/ifts.html#WeightedIntervalFTS.get_upper"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#pyFTS.models.ifts.WeightedIntervalFTS.get_upper" title="Permalink to this definition"></a></dt>
Sphinx documentation for ReadTheDocs site
2018-08-30 09:05:29 +04:00
<dd></dd></dl>
</dd></dl>
</div>
<div class="section" id="module-pyFTS.models.ismailefendi">
<span id="pyfts-models-ismailefendi-module"></span><h2>pyFTS.models.ismailefendi module<a class="headerlink" href="#module-pyFTS.models.ismailefendi" title="Permalink to this headline"></a></h2>
<p>First Order Improved Weighted Fuzzy Time Series by Efendi, Ismail and Deris (2013)</p>
<p>R. Efendi, Z. Ismail, and M. M. Deris, “Improved weight Fuzzy Time Series as used in the exchange rates forecasting of
US Dollar to Ringgit Malaysia,” Int. J. Comput. Intell. Appl., vol. 12, no. 1, p. 1350005, 2013.</p>
Documentation update
2020-08-19 00:06:41 +04:00
<dl class="py class">
Sphinx documentation for ReadTheDocs site
2018-08-30 09:05:29 +04:00
<dt id="pyFTS.models.ismailefendi.ImprovedWeightedFLRG">
Documentation update
2020-08-19 00:06:41 +04:00
<em class="property">class </em><code class="sig-prename descclassname">pyFTS.models.ismailefendi.</code><code class="sig-name descname">ImprovedWeightedFLRG</code><span class="sig-paren">(</span><em class="sig-param"><span class="n">LHS</span></em>, <em class="sig-param"><span class="o">**</span><span class="n">kwargs</span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/pyFTS/models/ismailefendi.html#ImprovedWeightedFLRG"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#pyFTS.models.ismailefendi.ImprovedWeightedFLRG" title="Permalink to this definition"></a></dt>
Sphinx documentation for ReadTheDocs site
2018-08-30 09:05:29 +04:00
<dd><p>Bases: <a class="reference internal" href="pyFTS.common.html#pyFTS.common.flrg.FLRG" title="pyFTS.common.flrg.FLRG"><code class="xref py py-class docutils literal notranslate"><span class="pre">pyFTS.common.flrg.FLRG</span></code></a></p>
<p>First Order Improved Weighted Fuzzy Logical Relationship Group</p>
Documentation update
2020-08-19 00:06:41 +04:00
<dl class="py method">
Sphinx documentation for ReadTheDocs site
2018-08-30 09:05:29 +04:00
<dt id="pyFTS.models.ismailefendi.ImprovedWeightedFLRG.append_rhs">
Documentation update
2020-08-19 00:06:41 +04:00
<code class="sig-name descname">append_rhs</code><span class="sig-paren">(</span><em class="sig-param"><span class="n">c</span></em>, <em class="sig-param"><span class="o">**</span><span class="n">kwargs</span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/pyFTS/models/ismailefendi.html#ImprovedWeightedFLRG.append_rhs"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#pyFTS.models.ismailefendi.ImprovedWeightedFLRG.append_rhs" title="Permalink to this definition"></a></dt>
Sphinx documentation for ReadTheDocs site
2018-08-30 09:05:29 +04:00
<dd></dd></dl>
Documentation update
2020-08-19 00:06:41 +04:00
<dl class="py method">
Sphinx documentation for ReadTheDocs site
2018-08-30 09:05:29 +04:00
<dt id="pyFTS.models.ismailefendi.ImprovedWeightedFLRG.weights">
Documentation update
2020-08-19 00:06:41 +04:00
<code class="sig-name descname">weights</code><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="reference internal" href="_modules/pyFTS/models/ismailefendi.html#ImprovedWeightedFLRG.weights"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#pyFTS.models.ismailefendi.ImprovedWeightedFLRG.weights" title="Permalink to this definition"></a></dt>
Sphinx documentation for ReadTheDocs site
2018-08-30 09:05:29 +04:00
<dd></dd></dl>
</dd></dl>
Documentation update
2020-08-19 00:06:41 +04:00
<dl class="py class">
Sphinx documentation for ReadTheDocs site
2018-08-30 09:05:29 +04:00
<dt id="pyFTS.models.ismailefendi.ImprovedWeightedFTS">
Documentation update
2020-08-19 00:06:41 +04:00
<em class="property">class </em><code class="sig-prename descclassname">pyFTS.models.ismailefendi.</code><code class="sig-name descname">ImprovedWeightedFTS</code><span class="sig-paren">(</span><em class="sig-param"><span class="o">**</span><span class="n">kwargs</span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/pyFTS/models/ismailefendi.html#ImprovedWeightedFTS"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#pyFTS.models.ismailefendi.ImprovedWeightedFTS" title="Permalink to this definition"></a></dt>
Sphinx documentation for ReadTheDocs site
2018-08-30 09:05:29 +04:00
<dd><p>Bases: <a class="reference internal" href="pyFTS.common.html#pyFTS.common.fts.FTS" title="pyFTS.common.fts.FTS"><code class="xref py py-class docutils literal notranslate"><span class="pre">pyFTS.common.fts.FTS</span></code></a></p>
<p>First Order Improved Weighted Fuzzy Time Series</p>
Documentation update
2020-08-19 00:06:41 +04:00
<dl class="py method">
Sphinx documentation for ReadTheDocs site
2018-08-30 09:05:29 +04:00
<dt id="pyFTS.models.ismailefendi.ImprovedWeightedFTS.forecast">
Documentation update
2020-08-19 00:06:41 +04:00
<code class="sig-name descname">forecast</code><span class="sig-paren">(</span><em class="sig-param"><span class="n">ndata</span></em>, <em class="sig-param"><span class="o">**</span><span class="n">kwargs</span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/pyFTS/models/ismailefendi.html#ImprovedWeightedFTS.forecast"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#pyFTS.models.ismailefendi.ImprovedWeightedFTS.forecast" title="Permalink to this definition"></a></dt>
Sphinx documentation for ReadTheDocs site
2018-08-30 09:05:29 +04:00
<dd><p>Point forecast one step ahead</p>
Documentation update
2020-08-19 00:06:41 +04:00
<dl class="field-list simple">
<dt class="field-odd">Parameters</dt>
<dd class="field-odd"><ul class="simple">
<li><p><strong>data</strong> – time series data with the minimal length equal to the max_lag of the model</p></li>
<li><p><strong>kwargs</strong> – model specific parameters</p></li>
Sphinx documentation for ReadTheDocs site
2018-08-30 09:05:29 +04:00
</ul>
Documentation update
2020-08-19 00:06:41 +04:00
</dd>
<dt class="field-even">Returns</dt>
<dd class="field-even"><p>a list with the forecasted values</p>
</dd>
</dl>
Sphinx documentation for ReadTheDocs site
2018-08-30 09:05:29 +04:00
</dd></dl>
Documentation update
2020-08-19 00:06:41 +04:00
<dl class="py method">
Sphinx documentation for ReadTheDocs site
2018-08-30 09:05:29 +04:00
<dt id="pyFTS.models.ismailefendi.ImprovedWeightedFTS.generate_flrg">
Documentation update
2020-08-19 00:06:41 +04:00
<code class="sig-name descname">generate_flrg</code><span class="sig-paren">(</span><em class="sig-param"><span class="n">flrs</span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/pyFTS/models/ismailefendi.html#ImprovedWeightedFTS.generate_flrg"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#pyFTS.models.ismailefendi.ImprovedWeightedFTS.generate_flrg" title="Permalink to this definition"></a></dt>
Sphinx documentation for ReadTheDocs site
2018-08-30 09:05:29 +04:00
<dd></dd></dl>
Documentation update
2020-08-19 00:06:41 +04:00
<dl class="py method">
Sphinx documentation for ReadTheDocs site
2018-08-30 09:05:29 +04:00
<dt id="pyFTS.models.ismailefendi.ImprovedWeightedFTS.train">
Documentation update
2020-08-19 00:06:41 +04:00
<code class="sig-name descname">train</code><span class="sig-paren">(</span><em class="sig-param"><span class="n">ndata</span></em>, <em class="sig-param"><span class="o">**</span><span class="n">kwargs</span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/pyFTS/models/ismailefendi.html#ImprovedWeightedFTS.train"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#pyFTS.models.ismailefendi.ImprovedWeightedFTS.train" title="Permalink to this definition"></a></dt>
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<dd><p>Method specific parameter fitting</p>
Documentation update
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<dl class="field-list simple">
<dt class="field-odd">Parameters</dt>
<dd class="field-odd"><ul class="simple">
<li><p><strong>data</strong> – training time series data</p></li>
<li><p><strong>kwargs</strong> – Method specific parameters</p></li>
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</ul>
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</dd>
</dl>
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</dd></dl>
</dd></dl>
</div>
<div class="section" id="module-pyFTS.models.pwfts">
<span id="pyfts-models-pwfts-module"></span><h2>pyFTS.models.pwfts module<a class="headerlink" href="#module-pyFTS.models.pwfts" title="Permalink to this headline"></a></h2>
Documentation update
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<dl class="py class">
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2018-08-30 09:05:29 +04:00
<dt id="pyFTS.models.pwfts.ProbabilisticWeightedFLRG">
Documentation update
2020-08-19 00:06:41 +04:00
<em class="property">class </em><code class="sig-prename descclassname">pyFTS.models.pwfts.</code><code class="sig-name descname">ProbabilisticWeightedFLRG</code><span class="sig-paren">(</span><em class="sig-param"><span class="n">order</span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/pyFTS/models/pwfts.html#ProbabilisticWeightedFLRG"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#pyFTS.models.pwfts.ProbabilisticWeightedFLRG" title="Permalink to this definition"></a></dt>
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<dd><p>Bases: <a class="reference internal" href="#pyFTS.models.hofts.HighOrderFLRG" title="pyFTS.models.hofts.HighOrderFLRG"><code class="xref py py-class docutils literal notranslate"><span class="pre">pyFTS.models.hofts.HighOrderFLRG</span></code></a></p>
<p>High Order Probabilistic Weighted Fuzzy Logical Relationship Group</p>
Documentation update
2020-08-19 00:06:41 +04:00
<dl class="py method">
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<dt id="pyFTS.models.pwfts.ProbabilisticWeightedFLRG.append_rhs">
Documentation update
2020-08-19 00:06:41 +04:00
<code class="sig-name descname">append_rhs</code><span class="sig-paren">(</span><em class="sig-param"><span class="n">c</span></em>, <em class="sig-param"><span class="o">**</span><span class="n">kwargs</span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/pyFTS/models/pwfts.html#ProbabilisticWeightedFLRG.append_rhs"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#pyFTS.models.pwfts.ProbabilisticWeightedFLRG.append_rhs" title="Permalink to this definition"></a></dt>
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<dd></dd></dl>
Documentation update
2020-08-19 00:06:41 +04:00
<dl class="py method">
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2018-08-30 09:05:29 +04:00
<dt id="pyFTS.models.pwfts.ProbabilisticWeightedFLRG.get_lower">
Documentation update
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<code class="sig-name descname">get_lower</code><span class="sig-paren">(</span><em class="sig-param"><span class="n">sets</span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/pyFTS/models/pwfts.html#ProbabilisticWeightedFLRG.get_lower"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#pyFTS.models.pwfts.ProbabilisticWeightedFLRG.get_lower" title="Permalink to this definition"></a></dt>
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<dd><p>Returns the lower bound value for the RHS fuzzy sets</p>
Documentation update
2020-08-19 00:06:41 +04:00
<dl class="field-list simple">
<dt class="field-odd">Parameters</dt>
<dd class="field-odd"><p><strong>sets</strong> – fuzzy sets</p>
</dd>
<dt class="field-even">Returns</dt>
<dd class="field-even"><p>lower bound value</p>
</dd>
</dl>
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</dd></dl>
Documentation update
2020-08-19 00:06:41 +04:00
<dl class="py method">
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<dt id="pyFTS.models.pwfts.ProbabilisticWeightedFLRG.get_membership">
Documentation update
2020-08-19 00:06:41 +04:00
<code class="sig-name descname">get_membership</code><span class="sig-paren">(</span><em class="sig-param"><span class="n">data</span></em>, <em class="sig-param"><span class="n">sets</span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/pyFTS/models/pwfts.html#ProbabilisticWeightedFLRG.get_membership"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#pyFTS.models.pwfts.ProbabilisticWeightedFLRG.get_membership" title="Permalink to this definition"></a></dt>
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<dd><p>Returns the membership value of the FLRG for the input data</p>
Documentation update
2020-08-19 00:06:41 +04:00
<dl class="field-list simple">
<dt class="field-odd">Parameters</dt>
<dd class="field-odd"><ul class="simple">
<li><p><strong>data</strong> – input data</p></li>
<li><p><strong>sets</strong> – fuzzy sets</p></li>
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</ul>
Documentation update
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</dd>
<dt class="field-even">Returns</dt>
<dd class="field-even"><p>the membership value</p>
</dd>
</dl>
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</dd></dl>
Documentation update
2020-08-19 00:06:41 +04:00
<dl class="py method">
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2018-08-30 09:05:29 +04:00
<dt id="pyFTS.models.pwfts.ProbabilisticWeightedFLRG.get_midpoint">
Documentation update
2020-08-19 00:06:41 +04:00
<code class="sig-name descname">get_midpoint</code><span class="sig-paren">(</span><em class="sig-param"><span class="n">sets</span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/pyFTS/models/pwfts.html#ProbabilisticWeightedFLRG.get_midpoint"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#pyFTS.models.pwfts.ProbabilisticWeightedFLRG.get_midpoint" title="Permalink to this definition"></a></dt>
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<dd><p>Return the expectation of the PWFLRG, the weighted sum</p>
</dd></dl>
Documentation update
2020-08-19 00:06:41 +04:00
<dl class="py method">
Sphinx documentation for ReadTheDocs site
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<dt id="pyFTS.models.pwfts.ProbabilisticWeightedFLRG.get_upper">
Documentation update
2020-08-19 00:06:41 +04:00
<code class="sig-name descname">get_upper</code><span class="sig-paren">(</span><em class="sig-param"><span class="n">sets</span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/pyFTS/models/pwfts.html#ProbabilisticWeightedFLRG.get_upper"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#pyFTS.models.pwfts.ProbabilisticWeightedFLRG.get_upper" title="Permalink to this definition"></a></dt>
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<dd><p>Returns the upper bound value for the RHS fuzzy sets</p>
Documentation update
2020-08-19 00:06:41 +04:00
<dl class="field-list simple">
<dt class="field-odd">Parameters</dt>
<dd class="field-odd"><p><strong>sets</strong> – fuzzy sets</p>
</dd>
<dt class="field-even">Returns</dt>
<dd class="field-even"><p>upper bound value</p>
</dd>
</dl>
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</dd></dl>
Documentation update
2020-08-19 00:06:41 +04:00
<dl class="py method">
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<dt id="pyFTS.models.pwfts.ProbabilisticWeightedFLRG.lhs_conditional_probability">
Documentation update
2020-08-19 00:06:41 +04:00
<code class="sig-name descname">lhs_conditional_probability</code><span class="sig-paren">(</span><em class="sig-param"><span class="n">x</span></em>, <em class="sig-param"><span class="n">sets</span></em>, <em class="sig-param"><span class="n">norm</span></em>, <em class="sig-param"><span class="n">uod</span></em>, <em class="sig-param"><span class="n">nbins</span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/pyFTS/models/pwfts.html#ProbabilisticWeightedFLRG.lhs_conditional_probability"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#pyFTS.models.pwfts.ProbabilisticWeightedFLRG.lhs_conditional_probability" title="Permalink to this definition"></a></dt>
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<dd></dd></dl>
Documentation update
2020-08-19 00:06:41 +04:00
<dl class="py method">
Documentation update
2019-06-21 18:34:49 +04:00
<dt id="pyFTS.models.pwfts.ProbabilisticWeightedFLRG.lhs_conditional_probability_fuzzyfied">
Documentation update
2020-08-19 00:06:41 +04:00
<code class="sig-name descname">lhs_conditional_probability_fuzzyfied</code><span class="sig-paren">(</span><em class="sig-param"><span class="n">lhs_mv</span></em>, <em class="sig-param"><span class="n">sets</span></em>, <em class="sig-param"><span class="n">norm</span></em>, <em class="sig-param"><span class="n">uod</span></em>, <em class="sig-param"><span class="n">nbins</span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/pyFTS/models/pwfts.html#ProbabilisticWeightedFLRG.lhs_conditional_probability_fuzzyfied"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#pyFTS.models.pwfts.ProbabilisticWeightedFLRG.lhs_conditional_probability_fuzzyfied" title="Permalink to this definition"></a></dt>
Documentation update
2019-06-21 18:34:49 +04:00
<dd></dd></dl>
Documentation update
2020-08-19 00:06:41 +04:00
<dl class="py method">
Sphinx documentation for ReadTheDocs site
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<dt id="pyFTS.models.pwfts.ProbabilisticWeightedFLRG.partition_function">
Documentation update
2020-08-19 00:06:41 +04:00
<code class="sig-name descname">partition_function</code><span class="sig-paren">(</span><em class="sig-param"><span class="n">sets</span></em>, <em class="sig-param"><span class="n">uod</span></em>, <em class="sig-param"><span class="n">nbins</span><span class="o">=</span><span class="default_value">100</span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/pyFTS/models/pwfts.html#ProbabilisticWeightedFLRG.partition_function"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#pyFTS.models.pwfts.ProbabilisticWeightedFLRG.partition_function" title="Permalink to this definition"></a></dt>
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<dd></dd></dl>
Documentation update
2020-08-19 00:06:41 +04:00
<dl class="py method">
Sphinx documentation for ReadTheDocs site
2018-08-30 09:05:29 +04:00
<dt id="pyFTS.models.pwfts.ProbabilisticWeightedFLRG.rhs_conditional_probability">
Documentation update
2020-08-19 00:06:41 +04:00
<code class="sig-name descname">rhs_conditional_probability</code><span class="sig-paren">(</span><em class="sig-param"><span class="n">x</span></em>, <em class="sig-param"><span class="n">sets</span></em>, <em class="sig-param"><span class="n">uod</span></em>, <em class="sig-param"><span class="n">nbins</span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/pyFTS/models/pwfts.html#ProbabilisticWeightedFLRG.rhs_conditional_probability"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#pyFTS.models.pwfts.ProbabilisticWeightedFLRG.rhs_conditional_probability" title="Permalink to this definition"></a></dt>
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<dd></dd></dl>
Documentation update
2020-08-19 00:06:41 +04:00
<dl class="py method">
Sphinx documentation for ReadTheDocs site
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<dt id="pyFTS.models.pwfts.ProbabilisticWeightedFLRG.rhs_unconditional_probability">
Documentation update
2020-08-19 00:06:41 +04:00
<code class="sig-name descname">rhs_unconditional_probability</code><span class="sig-paren">(</span><em class="sig-param"><span class="n">c</span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/pyFTS/models/pwfts.html#ProbabilisticWeightedFLRG.rhs_unconditional_probability"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#pyFTS.models.pwfts.ProbabilisticWeightedFLRG.rhs_unconditional_probability" title="Permalink to this definition"></a></dt>
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<dd></dd></dl>
</dd></dl>
Documentation update
2020-08-19 00:06:41 +04:00
<dl class="py class">
Sphinx documentation for ReadTheDocs site
2018-08-30 09:05:29 +04:00
<dt id="pyFTS.models.pwfts.ProbabilisticWeightedFTS">
Documentation update
2020-08-19 00:06:41 +04:00
<em class="property">class </em><code class="sig-prename descclassname">pyFTS.models.pwfts.</code><code class="sig-name descname">ProbabilisticWeightedFTS</code><span class="sig-paren">(</span><em class="sig-param"><span class="o">**</span><span class="n">kwargs</span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/pyFTS/models/pwfts.html#ProbabilisticWeightedFTS"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#pyFTS.models.pwfts.ProbabilisticWeightedFTS" title="Permalink to this definition"></a></dt>
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<dd><p>Bases: <a class="reference internal" href="#pyFTS.models.ifts.IntervalFTS" title="pyFTS.models.ifts.IntervalFTS"><code class="xref py py-class docutils literal notranslate"><span class="pre">pyFTS.models.ifts.IntervalFTS</span></code></a></p>
<p>High Order Probabilistic Weighted Fuzzy Time Series</p>
Documentation update
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<dl class="py method">
Sphinx documentation for ReadTheDocs site
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<dt id="pyFTS.models.pwfts.ProbabilisticWeightedFTS.add_new_PWFLGR">
Documentation update
2020-08-19 00:06:41 +04:00
<code class="sig-name descname">add_new_PWFLGR</code><span class="sig-paren">(</span><em class="sig-param"><span class="n">flrg</span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/pyFTS/models/pwfts.html#ProbabilisticWeightedFTS.add_new_PWFLGR"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#pyFTS.models.pwfts.ProbabilisticWeightedFTS.add_new_PWFLGR" title="Permalink to this definition"></a></dt>
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<dd></dd></dl>
Documentation update
2020-08-19 00:06:41 +04:00
<dl class="py method">
Sphinx documentation for ReadTheDocs site
2018-08-30 09:05:29 +04:00
<dt id="pyFTS.models.pwfts.ProbabilisticWeightedFTS.flrg_lhs_conditional_probability">
Documentation update
2020-08-19 00:06:41 +04:00
<code class="sig-name descname">flrg_lhs_conditional_probability</code><span class="sig-paren">(</span><em class="sig-param"><span class="n">x</span></em>, <em class="sig-param"><span class="n">flrg</span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/pyFTS/models/pwfts.html#ProbabilisticWeightedFTS.flrg_lhs_conditional_probability"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#pyFTS.models.pwfts.ProbabilisticWeightedFTS.flrg_lhs_conditional_probability" title="Permalink to this definition"></a></dt>
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<dd></dd></dl>
Documentation update
2020-08-19 00:06:41 +04:00
<dl class="py method">
Documentation update
2019-06-21 18:34:49 +04:00
<dt id="pyFTS.models.pwfts.ProbabilisticWeightedFTS.flrg_lhs_conditional_probability_fuzzyfied">
Documentation update
2020-08-19 00:06:41 +04:00
<code class="sig-name descname">flrg_lhs_conditional_probability_fuzzyfied</code><span class="sig-paren">(</span><em class="sig-param"><span class="n">x</span></em>, <em class="sig-param"><span class="n">flrg</span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/pyFTS/models/pwfts.html#ProbabilisticWeightedFTS.flrg_lhs_conditional_probability_fuzzyfied"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#pyFTS.models.pwfts.ProbabilisticWeightedFTS.flrg_lhs_conditional_probability_fuzzyfied" title="Permalink to this definition"></a></dt>
Documentation update
2019-06-21 18:34:49 +04:00
<dd></dd></dl>
Documentation update
2020-08-19 00:06:41 +04:00
<dl class="py method">
Sphinx documentation for ReadTheDocs site
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<dt id="pyFTS.models.pwfts.ProbabilisticWeightedFTS.flrg_lhs_unconditional_probability">
Documentation update
2020-08-19 00:06:41 +04:00
<code class="sig-name descname">flrg_lhs_unconditional_probability</code><span class="sig-paren">(</span><em class="sig-param"><span class="n">flrg</span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/pyFTS/models/pwfts.html#ProbabilisticWeightedFTS.flrg_lhs_unconditional_probability"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#pyFTS.models.pwfts.ProbabilisticWeightedFTS.flrg_lhs_unconditional_probability" title="Permalink to this definition"></a></dt>
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<dd></dd></dl>
Documentation update
2020-08-19 00:06:41 +04:00
<dl class="py method">
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<dt id="pyFTS.models.pwfts.ProbabilisticWeightedFTS.flrg_rhs_conditional_probability">
Documentation update
2020-08-19 00:06:41 +04:00
<code class="sig-name descname">flrg_rhs_conditional_probability</code><span class="sig-paren">(</span><em class="sig-param"><span class="n">x</span></em>, <em class="sig-param"><span class="n">flrg</span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/pyFTS/models/pwfts.html#ProbabilisticWeightedFTS.flrg_rhs_conditional_probability"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#pyFTS.models.pwfts.ProbabilisticWeightedFTS.flrg_rhs_conditional_probability" title="Permalink to this definition"></a></dt>
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<dd></dd></dl>
Documentation update
2020-08-19 00:06:41 +04:00
<dl class="py method">
Sphinx documentation for ReadTheDocs site
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<dt id="pyFTS.models.pwfts.ProbabilisticWeightedFTS.forecast">
Documentation update
2020-08-19 00:06:41 +04:00
<code class="sig-name descname">forecast</code><span class="sig-paren">(</span><em class="sig-param"><span class="n">data</span></em>, <em class="sig-param"><span class="o">**</span><span class="n">kwargs</span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/pyFTS/models/pwfts.html#ProbabilisticWeightedFTS.forecast"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#pyFTS.models.pwfts.ProbabilisticWeightedFTS.forecast" title="Permalink to this definition"></a></dt>
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<dd><p>Point forecast one step ahead</p>
Documentation update
2020-08-19 00:06:41 +04:00
<dl class="field-list simple">
<dt class="field-odd">Parameters</dt>
<dd class="field-odd"><ul class="simple">
<li><p><strong>data</strong> – time series data with the minimal length equal to the max_lag of the model</p></li>
<li><p><strong>kwargs</strong> – model specific parameters</p></li>
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</ul>
Documentation update
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</dd>
<dt class="field-even">Returns</dt>
<dd class="field-even"><p>a list with the forecasted values</p>
</dd>
</dl>
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</dd></dl>
Documentation update
2020-08-19 00:06:41 +04:00
<dl class="py method">
Sphinx documentation for ReadTheDocs site
2018-08-30 09:05:29 +04:00
<dt id="pyFTS.models.pwfts.ProbabilisticWeightedFTS.forecast_ahead">
Documentation update
2020-08-19 00:06:41 +04:00
<code class="sig-name descname">forecast_ahead</code><span class="sig-paren">(</span><em class="sig-param"><span class="n">data</span></em>, <em class="sig-param"><span class="n">steps</span></em>, <em class="sig-param"><span class="o">**</span><span class="n">kwargs</span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/pyFTS/models/pwfts.html#ProbabilisticWeightedFTS.forecast_ahead"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#pyFTS.models.pwfts.ProbabilisticWeightedFTS.forecast_ahead" title="Permalink to this definition"></a></dt>
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<dd><p>Point forecast n steps ahead</p>
Documentation update
2020-08-19 00:06:41 +04:00
<dl class="field-list simple">
<dt class="field-odd">Parameters</dt>
<dd class="field-odd"><ul class="simple">
<li><p><strong>data</strong> – time series data with the minimal length equal to the max_lag of the model</p></li>
<li><p><strong>steps</strong> – the number of steps ahead to forecast (default: 1)</p></li>
<li><p><strong>start_at</strong> – in the multi step forecasting, the index of the data where to start forecasting (default: 0)</p></li>
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</ul>
Documentation update
2020-08-19 00:06:41 +04:00
</dd>
<dt class="field-even">Returns</dt>
<dd class="field-even"><p>a list with the forecasted values</p>
</dd>
</dl>
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</dd></dl>
Documentation update
2020-08-19 00:06:41 +04:00
<dl class="py method">
Sphinx documentation for ReadTheDocs site
2018-08-30 09:05:29 +04:00
<dt id="pyFTS.models.pwfts.ProbabilisticWeightedFTS.forecast_ahead_distribution">
Documentation update
2020-08-19 00:06:41 +04:00
<code class="sig-name descname">forecast_ahead_distribution</code><span class="sig-paren">(</span><em class="sig-param"><span class="n">ndata</span></em>, <em class="sig-param"><span class="n">steps</span></em>, <em class="sig-param"><span class="o">**</span><span class="n">kwargs</span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/pyFTS/models/pwfts.html#ProbabilisticWeightedFTS.forecast_ahead_distribution"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#pyFTS.models.pwfts.ProbabilisticWeightedFTS.forecast_ahead_distribution" title="Permalink to this definition"></a></dt>
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<dd><p>Probabilistic forecast n steps ahead</p>
Documentation update
2020-08-19 00:06:41 +04:00
<dl class="field-list simple">
<dt class="field-odd">Parameters</dt>
<dd class="field-odd"><ul class="simple">
<li><p><strong>data</strong> – time series data with the minimal length equal to the max_lag of the model</p></li>
<li><p><strong>steps</strong> – the number of steps ahead to forecast</p></li>
<li><p><strong>start_at</strong> – in the multi step forecasting, the index of the data where to start forecasting (default: 0)</p></li>
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</ul>
Documentation update
2020-08-19 00:06:41 +04:00
</dd>
<dt class="field-even">Returns</dt>
<dd class="field-even"><p>a list with the forecasted Probability Distributions</p>
</dd>
</dl>
Sphinx documentation for ReadTheDocs site
2018-08-30 09:05:29 +04:00
</dd></dl>
Documentation update
2020-08-19 00:06:41 +04:00
<dl class="py method">
Sphinx documentation for ReadTheDocs site
2018-08-30 09:05:29 +04:00
<dt id="pyFTS.models.pwfts.ProbabilisticWeightedFTS.forecast_ahead_interval">
Documentation update
2020-08-19 00:06:41 +04:00
<code class="sig-name descname">forecast_ahead_interval</code><span class="sig-paren">(</span><em class="sig-param"><span class="n">data</span></em>, <em class="sig-param"><span class="n">steps</span></em>, <em class="sig-param"><span class="o">**</span><span class="n">kwargs</span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/pyFTS/models/pwfts.html#ProbabilisticWeightedFTS.forecast_ahead_interval"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#pyFTS.models.pwfts.ProbabilisticWeightedFTS.forecast_ahead_interval" title="Permalink to this definition"></a></dt>
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<dd><p>Interval forecast n steps ahead</p>
Documentation update
2020-08-19 00:06:41 +04:00
<dl class="field-list simple">
<dt class="field-odd">Parameters</dt>
<dd class="field-odd"><ul class="simple">
<li><p><strong>data</strong> – time series data with the minimal length equal to the max_lag of the model</p></li>
<li><p><strong>steps</strong> – the number of steps ahead to forecast</p></li>
<li><p><strong>start_at</strong> – in the multi step forecasting, the index of the data where to start forecasting (default: 0)</p></li>
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2018-08-30 09:05:29 +04:00
</ul>
Documentation update
2020-08-19 00:06:41 +04:00
</dd>
<dt class="field-even">Returns</dt>
<dd class="field-even"><p>a list with the forecasted intervals</p>
</dd>
</dl>
Sphinx documentation for ReadTheDocs site
2018-08-30 09:05:29 +04:00
</dd></dl>
Documentation update
2020-08-19 00:06:41 +04:00
<dl class="py method">
Sphinx documentation for ReadTheDocs site
2018-08-30 09:05:29 +04:00
<dt id="pyFTS.models.pwfts.ProbabilisticWeightedFTS.forecast_distribution">
Documentation update
2020-08-19 00:06:41 +04:00
<code class="sig-name descname">forecast_distribution</code><span class="sig-paren">(</span><em class="sig-param"><span class="n">ndata</span></em>, <em class="sig-param"><span class="o">**</span><span class="n">kwargs</span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/pyFTS/models/pwfts.html#ProbabilisticWeightedFTS.forecast_distribution"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#pyFTS.models.pwfts.ProbabilisticWeightedFTS.forecast_distribution" title="Permalink to this definition"></a></dt>
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<dd><p>Probabilistic forecast one step ahead</p>
Documentation update
2020-08-19 00:06:41 +04:00
<dl class="field-list simple">
<dt class="field-odd">Parameters</dt>
<dd class="field-odd"><ul class="simple">
<li><p><strong>data</strong> – time series data with the minimal length equal to the max_lag of the model</p></li>
<li><p><strong>kwargs</strong> – model specific parameters</p></li>
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</ul>
Documentation update
2020-08-19 00:06:41 +04:00
</dd>
<dt class="field-even">Returns</dt>
<dd class="field-even"><p>a list with probabilistic.ProbabilityDistribution objects representing the forecasted Probability Distributions</p>
</dd>
</dl>
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2018-08-30 09:05:29 +04:00
</dd></dl>
Documentation update
2020-08-19 00:06:41 +04:00
<dl class="py method">
Documentation update
2019-09-24 06:16:06 +04:00
<dt id="pyFTS.models.pwfts.ProbabilisticWeightedFTS.forecast_distribution_from_distribution">
Documentation update
2020-08-19 00:06:41 +04:00
<code class="sig-name descname">forecast_distribution_from_distribution</code><span class="sig-paren">(</span><em class="sig-param"><span class="n">previous_dist</span></em>, <em class="sig-param"><span class="n">smooth</span></em>, <em class="sig-param"><span class="n">uod</span></em>, <em class="sig-param"><span class="n">bins</span></em>, <em class="sig-param"><span class="o">**</span><span class="n">kwargs</span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/pyFTS/models/pwfts.html#ProbabilisticWeightedFTS.forecast_distribution_from_distribution"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#pyFTS.models.pwfts.ProbabilisticWeightedFTS.forecast_distribution_from_distribution" title="Permalink to this definition"></a></dt>
Documentation update
2019-09-24 06:16:06 +04:00
<dd></dd></dl>
Documentation update
2020-08-19 00:06:41 +04:00
<dl class="py method">
Sphinx documentation for ReadTheDocs site
2018-08-30 09:05:29 +04:00
<dt id="pyFTS.models.pwfts.ProbabilisticWeightedFTS.forecast_interval">
Documentation update
2020-08-19 00:06:41 +04:00
<code class="sig-name descname">forecast_interval</code><span class="sig-paren">(</span><em class="sig-param"><span class="n">ndata</span></em>, <em class="sig-param"><span class="o">**</span><span class="n">kwargs</span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/pyFTS/models/pwfts.html#ProbabilisticWeightedFTS.forecast_interval"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#pyFTS.models.pwfts.ProbabilisticWeightedFTS.forecast_interval" title="Permalink to this definition"></a></dt>
Sphinx documentation for ReadTheDocs site
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<dd><p>Interval forecast one step ahead</p>
Documentation update
2020-08-19 00:06:41 +04:00
<dl class="field-list simple">
<dt class="field-odd">Parameters</dt>
<dd class="field-odd"><ul class="simple">
<li><p><strong>data</strong> – time series data with the minimal length equal to the max_lag of the model</p></li>
<li><p><strong>kwargs</strong> – model specific parameters</p></li>
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</ul>
Documentation update
2020-08-19 00:06:41 +04:00
</dd>
<dt class="field-even">Returns</dt>
<dd class="field-even"><p>a list with the prediction intervals</p>
</dd>
</dl>
Sphinx documentation for ReadTheDocs site
2018-08-30 09:05:29 +04:00
</dd></dl>
Documentation update
2020-08-19 00:06:41 +04:00
<dl class="py method">
Sphinx documentation for ReadTheDocs site
2018-08-30 09:05:29 +04:00
<dt id="pyFTS.models.pwfts.ProbabilisticWeightedFTS.generate_flrg">
Documentation update
2020-08-19 00:06:41 +04:00
<code class="sig-name descname">generate_flrg</code><span class="sig-paren">(</span><em class="sig-param"><span class="n">data</span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/pyFTS/models/pwfts.html#ProbabilisticWeightedFTS.generate_flrg"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#pyFTS.models.pwfts.ProbabilisticWeightedFTS.generate_flrg" title="Permalink to this definition"></a></dt>
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<dd></dd></dl>
Documentation update
2020-08-19 00:06:41 +04:00
<dl class="py method">
Documentation update
2019-06-21 18:34:49 +04:00
<dt id="pyFTS.models.pwfts.ProbabilisticWeightedFTS.generate_flrg2">
Documentation update
2020-08-19 00:06:41 +04:00
<code class="sig-name descname">generate_flrg2</code><span class="sig-paren">(</span><em class="sig-param"><span class="n">data</span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/pyFTS/models/pwfts.html#ProbabilisticWeightedFTS.generate_flrg2"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#pyFTS.models.pwfts.ProbabilisticWeightedFTS.generate_flrg2" title="Permalink to this definition"></a></dt>
Documentation update
2019-06-21 18:34:49 +04:00
<dd></dd></dl>
Documentation update
2020-08-19 00:06:41 +04:00
<dl class="py method">
Documentation update
2019-06-21 18:34:49 +04:00
<dt id="pyFTS.models.pwfts.ProbabilisticWeightedFTS.generate_flrg_fuzzyfied">
Documentation update
2020-08-19 00:06:41 +04:00
<code class="sig-name descname">generate_flrg_fuzzyfied</code><span class="sig-paren">(</span><em class="sig-param"><span class="n">data</span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/pyFTS/models/pwfts.html#ProbabilisticWeightedFTS.generate_flrg_fuzzyfied"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#pyFTS.models.pwfts.ProbabilisticWeightedFTS.generate_flrg_fuzzyfied" title="Permalink to this definition"></a></dt>
Documentation update
2019-06-21 18:34:49 +04:00
<dd></dd></dl>
Documentation update
2020-08-19 00:06:41 +04:00
<dl class="py method">
Sphinx documentation for ReadTheDocs site
2018-08-30 09:05:29 +04:00
<dt id="pyFTS.models.pwfts.ProbabilisticWeightedFTS.generate_lhs_flrg">
Documentation update
2020-08-19 00:06:41 +04:00
<code class="sig-name descname">generate_lhs_flrg</code><span class="sig-paren">(</span><em class="sig-param"><span class="n">sample</span></em>, <em class="sig-param"><span class="n">explain</span><span class="o">=</span><span class="default_value">False</span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/pyFTS/models/pwfts.html#ProbabilisticWeightedFTS.generate_lhs_flrg"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#pyFTS.models.pwfts.ProbabilisticWeightedFTS.generate_lhs_flrg" title="Permalink to this definition"></a></dt>
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<dd></dd></dl>
Documentation update
2020-08-19 00:06:41 +04:00
<dl class="py method">
Documentation update
2018-12-11 23:22:05 +04:00
<dt id="pyFTS.models.pwfts.ProbabilisticWeightedFTS.generate_lhs_flrg_fuzzyfied">
Documentation update
2020-08-19 00:06:41 +04:00
<code class="sig-name descname">generate_lhs_flrg_fuzzyfied</code><span class="sig-paren">(</span><em class="sig-param"><span class="n">sample</span></em>, <em class="sig-param"><span class="n">explain</span><span class="o">=</span><span class="default_value">False</span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/pyFTS/models/pwfts.html#ProbabilisticWeightedFTS.generate_lhs_flrg_fuzzyfied"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#pyFTS.models.pwfts.ProbabilisticWeightedFTS.generate_lhs_flrg_fuzzyfied" title="Permalink to this definition"></a></dt>
Documentation update
2018-12-11 23:22:05 +04:00
<dd></dd></dl>
Documentation update
2020-08-19 00:06:41 +04:00
<dl class="py method">
Sphinx documentation for ReadTheDocs site
2018-08-30 09:05:29 +04:00
<dt id="pyFTS.models.pwfts.ProbabilisticWeightedFTS.get_lower">
Documentation update
2020-08-19 00:06:41 +04:00
<code class="sig-name descname">get_lower</code><span class="sig-paren">(</span><em class="sig-param"><span class="n">flrg</span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/pyFTS/models/pwfts.html#ProbabilisticWeightedFTS.get_lower"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#pyFTS.models.pwfts.ProbabilisticWeightedFTS.get_lower" title="Permalink to this definition"></a></dt>
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<dd></dd></dl>
Documentation update
2020-08-19 00:06:41 +04:00
<dl class="py method">
Sphinx documentation for ReadTheDocs site
2018-08-30 09:05:29 +04:00
<dt id="pyFTS.models.pwfts.ProbabilisticWeightedFTS.get_midpoint">
Documentation update
2020-08-19 00:06:41 +04:00
<code class="sig-name descname">get_midpoint</code><span class="sig-paren">(</span><em class="sig-param"><span class="n">flrg</span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/pyFTS/models/pwfts.html#ProbabilisticWeightedFTS.get_midpoint"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#pyFTS.models.pwfts.ProbabilisticWeightedFTS.get_midpoint" title="Permalink to this definition"></a></dt>
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<dd></dd></dl>
Documentation update
2020-08-19 00:06:41 +04:00
<dl class="py method">
Documentation update
2019-06-21 18:34:49 +04:00
<dt id="pyFTS.models.pwfts.ProbabilisticWeightedFTS.get_sets_from_both_fuzzyfication">
Documentation update
2020-08-19 00:06:41 +04:00
<code class="sig-name descname">get_sets_from_both_fuzzyfication</code><span class="sig-paren">(</span><em class="sig-param"><span class="n">sample</span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/pyFTS/models/pwfts.html#ProbabilisticWeightedFTS.get_sets_from_both_fuzzyfication"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#pyFTS.models.pwfts.ProbabilisticWeightedFTS.get_sets_from_both_fuzzyfication" title="Permalink to this definition"></a></dt>
Documentation update
2019-06-21 18:34:49 +04:00
<dd></dd></dl>
Documentation update
2020-08-19 00:06:41 +04:00
<dl class="py method">
Sphinx documentation for ReadTheDocs site
2018-08-30 09:05:29 +04:00
<dt id="pyFTS.models.pwfts.ProbabilisticWeightedFTS.get_upper">
Documentation update
2020-08-19 00:06:41 +04:00
<code class="sig-name descname">get_upper</code><span class="sig-paren">(</span><em class="sig-param"><span class="n">flrg</span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/pyFTS/models/pwfts.html#ProbabilisticWeightedFTS.get_upper"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#pyFTS.models.pwfts.ProbabilisticWeightedFTS.get_upper" title="Permalink to this definition"></a></dt>
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<dd></dd></dl>
Documentation update
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<dl class="py method">
Sphinx documentation for ReadTheDocs site
2018-08-30 09:05:29 +04:00
<dt id="pyFTS.models.pwfts.ProbabilisticWeightedFTS.interval_heuristic">
Documentation update
2020-08-19 00:06:41 +04:00
<code class="sig-name descname">interval_heuristic</code><span class="sig-paren">(</span><em class="sig-param"><span class="n">sample</span></em>, <em class="sig-param"><span class="o">**</span><span class="n">kwargs</span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/pyFTS/models/pwfts.html#ProbabilisticWeightedFTS.interval_heuristic"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#pyFTS.models.pwfts.ProbabilisticWeightedFTS.interval_heuristic" title="Permalink to this definition"></a></dt>
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<dd></dd></dl>
Documentation update
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<dl class="py method">
Sphinx documentation for ReadTheDocs site
2018-08-30 09:05:29 +04:00
<dt id="pyFTS.models.pwfts.ProbabilisticWeightedFTS.interval_quantile">
Documentation update
2020-08-19 00:06:41 +04:00
<code class="sig-name descname">interval_quantile</code><span class="sig-paren">(</span><em class="sig-param"><span class="n">ndata</span></em>, <em class="sig-param"><span class="n">alpha</span></em>, <em class="sig-param"><span class="o">**</span><span class="n">kwargs</span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/pyFTS/models/pwfts.html#ProbabilisticWeightedFTS.interval_quantile"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#pyFTS.models.pwfts.ProbabilisticWeightedFTS.interval_quantile" title="Permalink to this definition"></a></dt>
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<dd></dd></dl>
Documentation update
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<dl class="py method">
Sphinx documentation for ReadTheDocs site
2018-08-30 09:05:29 +04:00
<dt id="pyFTS.models.pwfts.ProbabilisticWeightedFTS.point_expected_value">
Documentation update
2020-08-19 00:06:41 +04:00
<code class="sig-name descname">point_expected_value</code><span class="sig-paren">(</span><em class="sig-param"><span class="n">sample</span></em>, <em class="sig-param"><span class="o">**</span><span class="n">kwargs</span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/pyFTS/models/pwfts.html#ProbabilisticWeightedFTS.point_expected_value"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#pyFTS.models.pwfts.ProbabilisticWeightedFTS.point_expected_value" title="Permalink to this definition"></a></dt>
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<dd></dd></dl>
Documentation update
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<dl class="py method">
Sphinx documentation for ReadTheDocs site
2018-08-30 09:05:29 +04:00
<dt id="pyFTS.models.pwfts.ProbabilisticWeightedFTS.point_heuristic">
Documentation update
2020-08-19 00:06:41 +04:00
<code class="sig-name descname">point_heuristic</code><span class="sig-paren">(</span><em class="sig-param"><span class="n">sample</span></em>, <em class="sig-param"><span class="o">**</span><span class="n">kwargs</span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/pyFTS/models/pwfts.html#ProbabilisticWeightedFTS.point_heuristic"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#pyFTS.models.pwfts.ProbabilisticWeightedFTS.point_heuristic" title="Permalink to this definition"></a></dt>
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<dd></dd></dl>
Documentation update
2020-08-19 00:06:41 +04:00
<dl class="py method">
Documentation update
2019-06-21 18:34:49 +04:00
<dt id="pyFTS.models.pwfts.ProbabilisticWeightedFTS.pwflrg_lhs_memberhip_fuzzyfied">
Documentation update
2020-08-19 00:06:41 +04:00
<code class="sig-name descname">pwflrg_lhs_memberhip_fuzzyfied</code><span class="sig-paren">(</span><em class="sig-param"><span class="n">flrg</span></em>, <em class="sig-param"><span class="n">sample</span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/pyFTS/models/pwfts.html#ProbabilisticWeightedFTS.pwflrg_lhs_memberhip_fuzzyfied"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#pyFTS.models.pwfts.ProbabilisticWeightedFTS.pwflrg_lhs_memberhip_fuzzyfied" title="Permalink to this definition"></a></dt>
Documentation update
2019-06-21 18:34:49 +04:00
<dd></dd></dl>
Documentation update
2020-08-19 00:06:41 +04:00
<dl class="py method">
Sphinx documentation for ReadTheDocs site
2018-08-30 09:05:29 +04:00
<dt id="pyFTS.models.pwfts.ProbabilisticWeightedFTS.train">
Documentation update
2020-08-19 00:06:41 +04:00
<code class="sig-name descname">train</code><span class="sig-paren">(</span><em class="sig-param"><span class="n">data</span></em>, <em class="sig-param"><span class="o">**</span><span class="n">kwargs</span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/pyFTS/models/pwfts.html#ProbabilisticWeightedFTS.train"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#pyFTS.models.pwfts.ProbabilisticWeightedFTS.train" title="Permalink to this definition"></a></dt>
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<dd><p>Method specific parameter fitting</p>
Documentation update
2020-08-19 00:06:41 +04:00
<dl class="field-list simple">
<dt class="field-odd">Parameters</dt>
<dd class="field-odd"><ul class="simple">
<li><p><strong>data</strong> – training time series data</p></li>
<li><p><strong>kwargs</strong> – Method specific parameters</p></li>
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</ul>
Documentation update
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</dd>
</dl>
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2018-08-30 09:05:29 +04:00
</dd></dl>
Documentation update
2020-08-19 00:06:41 +04:00
<dl class="py method">
Sphinx documentation for ReadTheDocs site
2018-08-30 09:05:29 +04:00
<dt id="pyFTS.models.pwfts.ProbabilisticWeightedFTS.update_model">
Documentation update
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<code class="sig-name descname">update_model</code><span class="sig-paren">(</span><em class="sig-param"><span class="n">data</span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/pyFTS/models/pwfts.html#ProbabilisticWeightedFTS.update_model"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#pyFTS.models.pwfts.ProbabilisticWeightedFTS.update_model" title="Permalink to this definition"></a></dt>
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<dd></dd></dl>
</dd></dl>
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<dt id="pyFTS.models.pwfts.visualize_distributions">
Documentation update
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<code class="sig-prename descclassname">pyFTS.models.pwfts.</code><code class="sig-name descname">visualize_distributions</code><span class="sig-paren">(</span><em class="sig-param"><span class="n">model</span></em>, <em class="sig-param"><span class="o">**</span><span class="n">kwargs</span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/pyFTS/models/pwfts.html#visualize_distributions"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#pyFTS.models.pwfts.visualize_distributions" title="Permalink to this definition"></a></dt>
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<dd></dd></dl>
</div>
<div class="section" id="module-pyFTS.models.sadaei">
<span id="pyfts-models-sadaei-module"></span><h2>pyFTS.models.sadaei module<a class="headerlink" href="#module-pyFTS.models.sadaei" title="Permalink to this headline"></a></h2>
<p>First Order Exponentialy Weighted Fuzzy Time Series by Sadaei et al. (2013)</p>
<p>H. J. Sadaei, R. Enayatifar, A. H. Abdullah, and A. Gani, “Short-term load forecasting using a hybrid model with a
refined exponentially weighted fuzzy time series and an improved harmony search,” Int. J. Electr. Power Energy Syst., vol. 62, no. from 2005, pp. 118–129, 2014.</p>
Documentation update
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<dt id="pyFTS.models.sadaei.ExponentialyWeightedFLRG">
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<em class="property">class </em><code class="sig-prename descclassname">pyFTS.models.sadaei.</code><code class="sig-name descname">ExponentialyWeightedFLRG</code><span class="sig-paren">(</span><em class="sig-param"><span class="n">LHS</span></em>, <em class="sig-param"><span class="o">**</span><span class="n">kwargs</span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/pyFTS/models/sadaei.html#ExponentialyWeightedFLRG"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#pyFTS.models.sadaei.ExponentialyWeightedFLRG" title="Permalink to this definition"></a></dt>
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<dd><p>Bases: <a class="reference internal" href="pyFTS.common.html#pyFTS.common.flrg.FLRG" title="pyFTS.common.flrg.FLRG"><code class="xref py py-class docutils literal notranslate"><span class="pre">pyFTS.common.flrg.FLRG</span></code></a></p>
<p>First Order Exponentialy Weighted Fuzzy Logical Relationship Group</p>
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<dt id="pyFTS.models.sadaei.ExponentialyWeightedFLRG.append_rhs">
Documentation update
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<code class="sig-name descname">append_rhs</code><span class="sig-paren">(</span><em class="sig-param"><span class="n">c</span></em>, <em class="sig-param"><span class="o">**</span><span class="n">kwargs</span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/pyFTS/models/sadaei.html#ExponentialyWeightedFLRG.append_rhs"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#pyFTS.models.sadaei.ExponentialyWeightedFLRG.append_rhs" title="Permalink to this definition"></a></dt>
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<dd></dd></dl>
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<dt id="pyFTS.models.sadaei.ExponentialyWeightedFLRG.weights">
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<code class="sig-name descname">weights</code><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="reference internal" href="_modules/pyFTS/models/sadaei.html#ExponentialyWeightedFLRG.weights"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#pyFTS.models.sadaei.ExponentialyWeightedFLRG.weights" title="Permalink to this definition"></a></dt>
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<dd></dd></dl>
</dd></dl>
Documentation update
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<dt id="pyFTS.models.sadaei.ExponentialyWeightedFTS">
Documentation update
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<em class="property">class </em><code class="sig-prename descclassname">pyFTS.models.sadaei.</code><code class="sig-name descname">ExponentialyWeightedFTS</code><span class="sig-paren">(</span><em class="sig-param"><span class="o">**</span><span class="n">kwargs</span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/pyFTS/models/sadaei.html#ExponentialyWeightedFTS"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#pyFTS.models.sadaei.ExponentialyWeightedFTS" title="Permalink to this definition"></a></dt>
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<dd><p>Bases: <a class="reference internal" href="pyFTS.common.html#pyFTS.common.fts.FTS" title="pyFTS.common.fts.FTS"><code class="xref py py-class docutils literal notranslate"><span class="pre">pyFTS.common.fts.FTS</span></code></a></p>
<p>First Order Exponentialy Weighted Fuzzy Time Series</p>
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<dt id="pyFTS.models.sadaei.ExponentialyWeightedFTS.forecast">
Documentation update
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<code class="sig-name descname">forecast</code><span class="sig-paren">(</span><em class="sig-param"><span class="n">ndata</span></em>, <em class="sig-param"><span class="o">**</span><span class="n">kwargs</span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/pyFTS/models/sadaei.html#ExponentialyWeightedFTS.forecast"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#pyFTS.models.sadaei.ExponentialyWeightedFTS.forecast" title="Permalink to this definition"></a></dt>
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<dd><p>Point forecast one step ahead</p>
Documentation update
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<dl class="field-list simple">
<dt class="field-odd">Parameters</dt>
<dd class="field-odd"><ul class="simple">
<li><p><strong>data</strong> – time series data with the minimal length equal to the max_lag of the model</p></li>
<li><p><strong>kwargs</strong> – model specific parameters</p></li>
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</ul>
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</dd>
<dt class="field-even">Returns</dt>
<dd class="field-even"><p>a list with the forecasted values</p>
</dd>
</dl>
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</dd></dl>
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<dt id="pyFTS.models.sadaei.ExponentialyWeightedFTS.generate_flrg">
Documentation update
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<code class="sig-name descname">generate_flrg</code><span class="sig-paren">(</span><em class="sig-param"><span class="n">flrs</span></em>, <em class="sig-param"><span class="n">c</span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/pyFTS/models/sadaei.html#ExponentialyWeightedFTS.generate_flrg"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#pyFTS.models.sadaei.ExponentialyWeightedFTS.generate_flrg" title="Permalink to this definition"></a></dt>
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<dd></dd></dl>
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<dt id="pyFTS.models.sadaei.ExponentialyWeightedFTS.train">
Documentation update
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<code class="sig-name descname">train</code><span class="sig-paren">(</span><em class="sig-param"><span class="n">data</span></em>, <em class="sig-param"><span class="o">**</span><span class="n">kwargs</span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/pyFTS/models/sadaei.html#ExponentialyWeightedFTS.train"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#pyFTS.models.sadaei.ExponentialyWeightedFTS.train" title="Permalink to this definition"></a></dt>
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<dd><p>Method specific parameter fitting</p>
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<dl class="field-list simple">
<dt class="field-odd">Parameters</dt>
<dd class="field-odd"><ul class="simple">
<li><p><strong>data</strong> – training time series data</p></li>
<li><p><strong>kwargs</strong> – Method specific parameters</p></li>
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</ul>
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</dd>
</dl>
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</dd></dl>
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<li><a class="reference internal" href="#">pyFTS.models package</a><ul>
<li><a class="reference internal" href="#module-pyFTS.models">Module contents</a></li>
<li><a class="reference internal" href="#subpackages">Subpackages</a></li>
<li><a class="reference internal" href="#submodules">Submodules</a></li>
<li><a class="reference internal" href="#module-pyFTS.models.song">pyFTS.models.song module</a></li>
<li><a class="reference internal" href="#module-pyFTS.models.chen">pyFTS.models.chen module</a></li>
<li><a class="reference internal" href="#module-pyFTS.models.yu">pyFTS.models.yu module</a></li>
<li><a class="reference internal" href="#module-pyFTS.models.cheng">pyFTS.models.cheng module</a></li>
<li><a class="reference internal" href="#module-pyFTS.models.hofts">pyFTS.models.hofts module</a></li>
<li><a class="reference internal" href="#module-pyFTS.models.hwang">pyFTS.models.hwang module</a></li>
<li><a class="reference internal" href="#module-pyFTS.models.ifts">pyFTS.models.ifts module</a></li>
<li><a class="reference internal" href="#module-pyFTS.models.ismailefendi">pyFTS.models.ismailefendi module</a></li>
<li><a class="reference internal" href="#module-pyFTS.models.pwfts">pyFTS.models.pwfts module</a></li>
<li><a class="reference internal" href="#module-pyFTS.models.sadaei">pyFTS.models.sadaei module</a></li>
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