Time Series sample classification infrastructure; WMVFTS is the first method with a functional implementation
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<div class="body" role="main">
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<h1>All modules for which code is available</h1>
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<ul><li><a href="pyFTS/benchmarks/BSTS.html">pyFTS.benchmarks.BSTS</a></li>
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<li><a href="pyFTS/benchmarks/Measures.html">pyFTS.benchmarks.Measures</a></li>
|
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<li><a href="pyFTS/benchmarks/ResidualAnalysis.html">pyFTS.benchmarks.ResidualAnalysis</a></li>
|
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<li><a href="pyFTS/benchmarks/Tests.html">pyFTS.benchmarks.Tests</a></li>
|
||||
<li><a href="pyFTS/benchmarks/Util.html">pyFTS.benchmarks.Util</a></li>
|
||||
<li><a href="pyFTS/benchmarks/arima.html">pyFTS.benchmarks.arima</a></li>
|
||||
<li><a href="pyFTS/benchmarks/benchmarks.html">pyFTS.benchmarks.benchmarks</a></li>
|
||||
<li><a href="pyFTS/benchmarks/knn.html">pyFTS.benchmarks.knn</a></li>
|
||||
<li><a href="pyFTS/benchmarks/naive.html">pyFTS.benchmarks.naive</a></li>
|
||||
<li><a href="pyFTS/benchmarks/quantreg.html">pyFTS.benchmarks.quantreg</a></li>
|
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<ul><li><a href="pyFTS/common/Activations.html">pyFTS.common.Activations</a></li>
|
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<li><a href="pyFTS/common/Composite.html">pyFTS.common.Composite</a></li>
|
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<li><a href="pyFTS/common/FLR.html">pyFTS.common.FLR</a></li>
|
||||
<li><a href="pyFTS/common/FuzzySet.html">pyFTS.common.FuzzySet</a></li>
|
||||
<li><a href="pyFTS/common/Membership.html">pyFTS.common.Membership</a></li>
|
||||
<li><a href="pyFTS/common/SortedCollection.html">pyFTS.common.SortedCollection</a></li>
|
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<li><a href="pyFTS/common/Util.html">pyFTS.common.Util</a></li>
|
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<li><a href="pyFTS/common/flrg.html">pyFTS.common.flrg</a></li>
|
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<li><a href="pyFTS/common/fts.html">pyFTS.common.fts</a></li>
|
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<li><a href="pyFTS/common/transformations/boxcox.html">pyFTS.common.transformations.boxcox</a></li>
|
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<li><a href="pyFTS/common/transformations/differential.html">pyFTS.common.transformations.differential</a></li>
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<li><a href="pyFTS/common/transformations/normalization.html">pyFTS.common.transformations.normalization</a></li>
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@ -68,7 +57,6 @@
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<li><a href="pyFTS/common/transformations/smoothing.html">pyFTS.common.transformations.smoothing</a></li>
|
||||
<li><a href="pyFTS/common/transformations/som.html">pyFTS.common.transformations.som</a></li>
|
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<li><a href="pyFTS/common/transformations/transformation.html">pyFTS.common.transformations.transformation</a></li>
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||||
<li><a href="pyFTS/common/transformations/trend.html">pyFTS.common.transformations.trend</a></li>
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<li><a href="pyFTS/common/tree.html">pyFTS.common.tree</a></li>
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||||
<li><a href="pyFTS/data/AirPassengers.html">pyFTS.data.AirPassengers</a></li>
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<li><a href="pyFTS/data/Bitcoin.html">pyFTS.data.Bitcoin</a></li>
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@ -92,60 +80,28 @@
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<li><a href="pyFTS/data/mackey_glass.html">pyFTS.data.mackey_glass</a></li>
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<li><a href="pyFTS/data/rossler.html">pyFTS.data.rossler</a></li>
|
||||
<li><a href="pyFTS/data/sunspots.html">pyFTS.data.sunspots</a></li>
|
||||
<li><a href="pyFTS/hyperparam/Evolutionary.html">pyFTS.hyperparam.Evolutionary</a></li>
|
||||
<li><a href="pyFTS/hyperparam/GridSearch.html">pyFTS.hyperparam.GridSearch</a></li>
|
||||
<li><a href="pyFTS/hyperparam/Util.html">pyFTS.hyperparam.Util</a></li>
|
||||
<li><a href="pyFTS/models/chen.html">pyFTS.models.chen</a></li>
|
||||
<li><a href="pyFTS/models/cheng.html">pyFTS.models.cheng</a></li>
|
||||
<li><a href="pyFTS/models/ensemble/ensemble.html">pyFTS.models.ensemble.ensemble</a></li>
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<li><a href="pyFTS/models/ensemble/multiseasonal.html">pyFTS.models.ensemble.multiseasonal</a></li>
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<li><a href="pyFTS/models/hofts.html">pyFTS.models.hofts</a></li>
|
||||
<li><a href="pyFTS/models/hwang.html">pyFTS.models.hwang</a></li>
|
||||
<li><a href="pyFTS/models/ifts.html">pyFTS.models.ifts</a></li>
|
||||
<li><a href="pyFTS/models/incremental/IncrementalEnsemble.html">pyFTS.models.incremental.IncrementalEnsemble</a></li>
|
||||
<li><a href="pyFTS/models/incremental/TimeVariant.html">pyFTS.models.incremental.TimeVariant</a></li>
|
||||
<li><a href="pyFTS/models/ismailefendi.html">pyFTS.models.ismailefendi</a></li>
|
||||
<li><a href="pyFTS/models/multivariate/FLR.html">pyFTS.models.multivariate.FLR</a></li>
|
||||
<li><a href="pyFTS/models/multivariate/cmvfts.html">pyFTS.models.multivariate.cmvfts</a></li>
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<li><a href="pyFTS/models/multivariate/common.html">pyFTS.models.multivariate.common</a></li>
|
||||
<li><a href="pyFTS/models/multivariate/flrg.html">pyFTS.models.multivariate.flrg</a></li>
|
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<li><a href="pyFTS/models/multivariate/granular.html">pyFTS.models.multivariate.granular</a></li>
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||||
<li><a href="pyFTS/models/multivariate/grid.html">pyFTS.models.multivariate.grid</a></li>
|
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<li><a href="pyFTS/models/multivariate/mvfts.html">pyFTS.models.multivariate.mvfts</a></li>
|
||||
<li><a href="pyFTS/models/multivariate/partitioner.html">pyFTS.models.multivariate.partitioner</a></li>
|
||||
<li><a href="pyFTS/models/multivariate/variable.html">pyFTS.models.multivariate.variable</a></li>
|
||||
<li><a href="pyFTS/models/multivariate/wmvfts.html">pyFTS.models.multivariate.wmvfts</a></li>
|
||||
<li><a href="pyFTS/models/nonstationary/common.html">pyFTS.models.nonstationary.common</a></li>
|
||||
<li><a href="pyFTS/models/nonstationary/cvfts.html">pyFTS.models.nonstationary.cvfts</a></li>
|
||||
<li><a href="pyFTS/models/nonstationary/flrg.html">pyFTS.models.nonstationary.flrg</a></li>
|
||||
<li><a href="pyFTS/models/nonstationary/honsfts.html">pyFTS.models.nonstationary.honsfts</a></li>
|
||||
<li><a href="pyFTS/models/nonstationary/nsfts.html">pyFTS.models.nonstationary.nsfts</a></li>
|
||||
<li><a href="pyFTS/models/nonstationary/partitioners.html">pyFTS.models.nonstationary.partitioners</a></li>
|
||||
<li><a href="pyFTS/models/nonstationary/perturbation.html">pyFTS.models.nonstationary.perturbation</a></li>
|
||||
<li><a href="pyFTS/models/nonstationary/util.html">pyFTS.models.nonstationary.util</a></li>
|
||||
<li><a href="pyFTS/models/pwfts.html">pyFTS.models.pwfts</a></li>
|
||||
<li><a href="pyFTS/models/sadaei.html">pyFTS.models.sadaei</a></li>
|
||||
<li><a href="pyFTS/models/seasonal/SeasonalIndexer.html">pyFTS.models.seasonal.SeasonalIndexer</a></li>
|
||||
<li><a href="pyFTS/models/seasonal/cmsfts.html">pyFTS.models.seasonal.cmsfts</a></li>
|
||||
<li><a href="pyFTS/models/seasonal/common.html">pyFTS.models.seasonal.common</a></li>
|
||||
<li><a href="pyFTS/models/seasonal/msfts.html">pyFTS.models.seasonal.msfts</a></li>
|
||||
<li><a href="pyFTS/models/seasonal/partitioner.html">pyFTS.models.seasonal.partitioner</a></li>
|
||||
<li><a href="pyFTS/models/seasonal/sfts.html">pyFTS.models.seasonal.sfts</a></li>
|
||||
<li><a href="pyFTS/models/song.html">pyFTS.models.song</a></li>
|
||||
<li><a href="pyFTS/models/yu.html">pyFTS.models.yu</a></li>
|
||||
<li><a href="pyFTS/partitioners/CMeans.html">pyFTS.partitioners.CMeans</a></li>
|
||||
<li><a href="pyFTS/partitioners/ClassPartitioner.html">pyFTS.partitioners.ClassPartitioner</a></li>
|
||||
<li><a href="pyFTS/partitioners/Entropy.html">pyFTS.partitioners.Entropy</a></li>
|
||||
<li><a href="pyFTS/partitioners/FCM.html">pyFTS.partitioners.FCM</a></li>
|
||||
<li><a href="pyFTS/partitioners/Grid.html">pyFTS.partitioners.Grid</a></li>
|
||||
<li><a href="pyFTS/partitioners/Huarng.html">pyFTS.partitioners.Huarng</a></li>
|
||||
<li><a href="pyFTS/partitioners/Simple.html">pyFTS.partitioners.Simple</a></li>
|
||||
<li><a href="pyFTS/partitioners/Singleton.html">pyFTS.partitioners.Singleton</a></li>
|
||||
<li><a href="pyFTS/partitioners/SubClust.html">pyFTS.partitioners.SubClust</a></li>
|
||||
<li><a href="pyFTS/partitioners/Util.html">pyFTS.partitioners.Util</a></li>
|
||||
<li><a href="pyFTS/partitioners/parallel_util.html">pyFTS.partitioners.parallel_util</a></li>
|
||||
<li><a href="pyFTS/partitioners/partitioner.html">pyFTS.partitioners.partitioner</a></li>
|
||||
<li><a href="pyFTS/probabilistic/ProbabilityDistribution.html">pyFTS.probabilistic.ProbabilityDistribution</a></li>
|
||||
<li><a href="pyFTS/probabilistic/kde.html">pyFTS.probabilistic.kde</a></li>
|
||||
</ul>
|
||||
|
||||
<div class="clearer"></div>
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@ -183,7 +139,7 @@
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<h1>Source code for pyFTS.common.Activations</h1><div class="highlight"><pre>
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<span></span><span class="sd">"""</span>
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<span class="sd">Activation functions for Time Series Classification</span>
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<span class="sd">"""</span>
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<span class="kn">import</span> <span class="nn">numpy</span> <span class="k">as</span> <span class="nn">np</span>
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<span class="kn">import</span> <span class="nn">math</span>
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<span class="kn">from</span> <span class="nn">pyFTS</span> <span class="kn">import</span> <span class="o">*</span>
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<div class="viewcode-block" id="scale"><a class="viewcode-back" href="../../../pyFTS.common.html#pyFTS.common.Activations.scale">[docs]</a><span class="k">def</span> <span class="nf">scale</span><span class="p">(</span><span class="n">dist</span> <span class="p">:</span> <span class="nb">dict</span><span class="p">)</span> <span class="o">-></span> <span class="nb">dict</span><span class="p">:</span>
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<span class="n">norm</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">sum</span><span class="p">([</span><span class="n">v</span> <span class="k">for</span> <span class="n">v</span> <span class="ow">in</span> <span class="n">dist</span><span class="o">.</span><span class="n">values</span><span class="p">()])</span>
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<span class="k">return</span> <span class="p">{</span><span class="n">k</span> <span class="p">:</span> <span class="p">(</span><span class="n">v</span> <span class="o">/</span> <span class="n">norm</span><span class="p">)</span> <span class="k">for</span> <span class="n">k</span><span class="p">,</span><span class="n">v</span> <span class="ow">in</span> <span class="n">dist</span><span class="o">.</span><span class="n">items</span><span class="p">()</span> <span class="p">}</span></div>
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<div class="viewcode-block" id="softmax"><a class="viewcode-back" href="../../../pyFTS.common.html#pyFTS.common.Activations.softmax">[docs]</a><span class="k">def</span> <span class="nf">softmax</span><span class="p">(</span><span class="n">dist</span> <span class="p">:</span> <span class="nb">dict</span><span class="p">)</span> <span class="o">-></span> <span class="nb">dict</span><span class="p">:</span>
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<span class="n">norm</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">sum</span><span class="p">([</span><span class="n">np</span><span class="o">.</span><span class="n">exp</span><span class="p">(</span><span class="n">v</span><span class="p">)</span> <span class="k">for</span> <span class="n">v</span> <span class="ow">in</span> <span class="n">dist</span><span class="o">.</span><span class="n">values</span><span class="p">()])</span>
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<span class="k">return</span> <span class="p">{</span><span class="n">k</span> <span class="p">:</span> <span class="p">(</span><span class="n">np</span><span class="o">.</span><span class="n">exp</span><span class="p">(</span><span class="n">v</span><span class="p">)</span> <span class="o">/</span> <span class="n">norm</span><span class="p">)</span> <span class="k">for</span> <span class="n">k</span><span class="p">,</span><span class="n">v</span> <span class="ow">in</span> <span class="n">dist</span><span class="o">.</span><span class="n">items</span><span class="p">()</span> <span class="p">}</span></div>
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<div class="viewcode-block" id="argmax"><a class="viewcode-back" href="../../../pyFTS.common.html#pyFTS.common.Activations.argmax">[docs]</a><span class="k">def</span> <span class="nf">argmax</span><span class="p">(</span><span class="n">dist</span> <span class="p">:</span> <span class="nb">dict</span><span class="p">)</span> <span class="o">-></span> <span class="nb">str</span><span class="p">:</span>
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<span class="n">mx</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">max</span><span class="p">([</span><span class="n">v</span> <span class="k">for</span> <span class="n">v</span> <span class="ow">in</span> <span class="n">dist</span><span class="o">.</span><span class="n">values</span><span class="p">()])</span>
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<span class="k">return</span> <span class="p">[</span><span class="n">k</span> <span class="k">for</span> <span class="n">k</span><span class="p">,</span><span class="n">v</span> <span class="ow">in</span> <span class="n">dist</span><span class="o">.</span><span class="n">items</span><span class="p">()</span> <span class="k">if</span> <span class="n">v</span> <span class="o">==</span> <span class="n">mx</span> <span class="p">][</span><span class="mi">0</span><span class="p">]</span></div>
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</pre></div>
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>modules</a> |</li>
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<li class="nav-item nav-item-0"><a href="../../../index.html">pyFTS 1.7 documentation</a> »</li>
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<li class="nav-item nav-item-1"><a href="../../index.html" >Module code</a> »</li>
|
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<div class="footer" role="contentinfo">
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© Copyright 2022, Machine Intelligence and Data Science Laboratory - UFMG - Brazil.
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Created using <a href="https://www.sphinx-doc.org/">Sphinx</a> 4.3.2.
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</div>
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</html>
|
||||
@ -48,16 +48,16 @@
|
||||
<span class="sd">"""</span>
|
||||
|
||||
<span class="kn">import</span> <span class="nn">numpy</span> <span class="k">as</span> <span class="nn">np</span>
|
||||
<span class="kn">from</span> <span class="nn">pyFTS</span> <span class="k">import</span> <span class="o">*</span>
|
||||
<span class="kn">from</span> <span class="nn">pyFTS.common</span> <span class="k">import</span> <span class="n">Membership</span><span class="p">,</span> <span class="n">FuzzySet</span>
|
||||
<span class="kn">from</span> <span class="nn">pyFTS</span> <span class="kn">import</span> <span class="o">*</span>
|
||||
<span class="kn">from</span> <span class="nn">pyFTS.common</span> <span class="kn">import</span> <span class="n">Membership</span><span class="p">,</span> <span class="n">FuzzySet</span>
|
||||
|
||||
|
||||
<div class="viewcode-block" id="FuzzySet"><a class="viewcode-back" href="../../../pyFTS.common.html#pyFTS.common.Composite.FuzzySet">[docs]</a><span class="k">class</span> <span class="nc">FuzzySet</span><span class="p">(</span><span class="n">FuzzySet</span><span class="o">.</span><span class="n">FuzzySet</span><span class="p">):</span>
|
||||
<span class="sd">"""</span>
|
||||
<span class="w"> </span><span class="sd">"""</span>
|
||||
<span class="sd"> Composite Fuzzy Set</span>
|
||||
<span class="sd"> """</span>
|
||||
<span class="k">def</span> <span class="nf">__init__</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">name</span><span class="p">,</span> <span class="n">superset</span><span class="o">=</span><span class="kc">False</span><span class="p">,</span> <span class="o">**</span><span class="n">kwargs</span><span class="p">):</span>
|
||||
<span class="sd">"""</span>
|
||||
<span class="k">def</span> <span class="fm">__init__</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">name</span><span class="p">,</span> <span class="n">superset</span><span class="o">=</span><span class="kc">False</span><span class="p">,</span> <span class="o">**</span><span class="n">kwargs</span><span class="p">):</span>
|
||||
<span class="w"> </span><span class="sd">"""</span>
|
||||
<span class="sd"> Create an empty composite fuzzy set</span>
|
||||
<span class="sd"> :param name: fuzzy set name</span>
|
||||
<span class="sd"> """</span>
|
||||
@ -77,7 +77,7 @@
|
||||
|
||||
|
||||
<div class="viewcode-block" id="FuzzySet.membership"><a class="viewcode-back" href="../../../pyFTS.common.html#pyFTS.common.Composite.FuzzySet.membership">[docs]</a> <span class="k">def</span> <span class="nf">membership</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">x</span><span class="p">):</span>
|
||||
<span class="sd">"""</span>
|
||||
<span class="w"> </span><span class="sd">"""</span>
|
||||
<span class="sd"> Calculate the membership value of a given input</span>
|
||||
|
||||
<span class="sd"> :param x: input value</span>
|
||||
@ -92,7 +92,7 @@
|
||||
<span class="k">return</span> <span class="bp">self</span><span class="o">.</span><span class="n">sets</span><span class="p">[</span><span class="mi">0</span><span class="p">]</span><span class="o">.</span><span class="n">transform</span><span class="p">(</span><span class="n">x</span><span class="p">)</span></div>
|
||||
|
||||
<div class="viewcode-block" id="FuzzySet.append"><a class="viewcode-back" href="../../../pyFTS.common.html#pyFTS.common.Composite.FuzzySet.append">[docs]</a> <span class="k">def</span> <span class="nf">append</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">mf</span><span class="p">,</span> <span class="n">parameters</span><span class="p">):</span>
|
||||
<span class="sd">"""</span>
|
||||
<span class="w"> </span><span class="sd">"""</span>
|
||||
<span class="sd"> Adds a new function to composition</span>
|
||||
|
||||
<span class="sd"> :param mf:</span>
|
||||
@ -103,7 +103,7 @@
|
||||
<span class="bp">self</span><span class="o">.</span><span class="n">parameters</span><span class="o">.</span><span class="n">append</span><span class="p">(</span><span class="n">parameters</span><span class="p">)</span></div>
|
||||
|
||||
<div class="viewcode-block" id="FuzzySet.append_set"><a class="viewcode-back" href="../../../pyFTS.common.html#pyFTS.common.Composite.FuzzySet.append_set">[docs]</a> <span class="k">def</span> <span class="nf">append_set</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="nb">set</span><span class="p">):</span>
|
||||
<span class="sd">"""</span>
|
||||
<span class="w"> </span><span class="sd">"""</span>
|
||||
<span class="sd"> Adds a new function to composition</span>
|
||||
|
||||
<span class="sd"> :param mf:</span>
|
||||
@ -122,7 +122,7 @@
|
||||
<span class="bp">self</span><span class="o">.</span><span class="n">centroid</span> <span class="o">=</span> <span class="nb">set</span><span class="o">.</span><span class="n">centroid</span></div>
|
||||
|
||||
|
||||
<span class="k">def</span> <span class="nf">__str__</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
|
||||
<span class="k">def</span> <span class="fm">__str__</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
|
||||
<span class="n">tmp</span> <span class="o">=</span> <span class="nb">str</span><span class="p">([</span><span class="nb">str</span><span class="p">(</span><span class="n">k</span><span class="p">)</span> <span class="k">for</span> <span class="n">k</span> <span class="ow">in</span> <span class="bp">self</span><span class="o">.</span><span class="n">sets</span><span class="p">])</span>
|
||||
<span class="k">return</span> <span class="s2">"</span><span class="si">{}</span><span class="s2">: </span><span class="si">{}</span><span class="s2">"</span><span class="o">.</span><span class="n">format</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">name</span><span class="p">,</span> <span class="n">tmp</span><span class="p">)</span></div>
|
||||
|
||||
@ -165,7 +165,7 @@
|
||||
</div>
|
||||
<div class="footer" role="contentinfo">
|
||||
© Copyright 2022, Machine Intelligence and Data Science Laboratory - UFMG - Brazil.
|
||||
Created using <a href="https://www.sphinx-doc.org/">Sphinx</a> 4.5.0.
|
||||
Created using <a href="https://www.sphinx-doc.org/">Sphinx</a> 4.3.2.
|
||||
</div>
|
||||
</body>
|
||||
</html>
|
||||
34
docs/build/html/_modules/pyFTS/common/FLR.html
vendored
34
docs/build/html/_modules/pyFTS/common/FLR.html
vendored
@ -48,44 +48,44 @@
|
||||
<span class="sd">"""</span>
|
||||
|
||||
<span class="kn">import</span> <span class="nn">numpy</span> <span class="k">as</span> <span class="nn">np</span>
|
||||
<span class="kn">from</span> <span class="nn">pyFTS.common</span> <span class="k">import</span> <span class="n">FuzzySet</span>
|
||||
<span class="kn">from</span> <span class="nn">pyFTS.common</span> <span class="kn">import</span> <span class="n">FuzzySet</span>
|
||||
|
||||
|
||||
<div class="viewcode-block" id="FLR"><a class="viewcode-back" href="../../../pyFTS.common.html#pyFTS.common.FLR.FLR">[docs]</a><span class="k">class</span> <span class="nc">FLR</span><span class="p">(</span><span class="nb">object</span><span class="p">):</span>
|
||||
<span class="sd">"""</span>
|
||||
<span class="w"> </span><span class="sd">"""</span>
|
||||
<span class="sd"> Fuzzy Logical Relationship</span>
|
||||
|
||||
<span class="sd"> Represents a temporal transition of the fuzzy set LHS on time t for the fuzzy set RHS on time t+1.</span>
|
||||
<span class="sd"> """</span>
|
||||
<span class="k">def</span> <span class="nf">__init__</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">LHS</span><span class="p">,</span> <span class="n">RHS</span><span class="p">):</span>
|
||||
<span class="sd">"""</span>
|
||||
<span class="k">def</span> <span class="fm">__init__</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">LHS</span><span class="p">,</span> <span class="n">RHS</span><span class="p">):</span>
|
||||
<span class="w"> </span><span class="sd">"""</span>
|
||||
<span class="sd"> Creates a Fuzzy Logical Relationship</span>
|
||||
<span class="sd"> """</span>
|
||||
<span class="bp">self</span><span class="o">.</span><span class="n">LHS</span> <span class="o">=</span> <span class="n">LHS</span>
|
||||
<span class="sd">"""Left Hand Side fuzzy set"""</span>
|
||||
<span class="w"> </span><span class="sd">"""Left Hand Side fuzzy set"""</span>
|
||||
<span class="bp">self</span><span class="o">.</span><span class="n">RHS</span> <span class="o">=</span> <span class="n">RHS</span>
|
||||
<span class="sd">"""Right Hand Side fuzzy set"""</span>
|
||||
<span class="w"> </span><span class="sd">"""Right Hand Side fuzzy set"""</span>
|
||||
|
||||
<span class="k">def</span> <span class="nf">__str__</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
|
||||
<span class="k">def</span> <span class="fm">__str__</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
|
||||
<span class="k">return</span> <span class="nb">str</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">LHS</span><span class="p">)</span> <span class="o">+</span> <span class="s2">" -> "</span> <span class="o">+</span> <span class="nb">str</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">RHS</span><span class="p">)</span></div>
|
||||
|
||||
|
||||
<div class="viewcode-block" id="IndexedFLR"><a class="viewcode-back" href="../../../pyFTS.common.html#pyFTS.common.FLR.IndexedFLR">[docs]</a><span class="k">class</span> <span class="nc">IndexedFLR</span><span class="p">(</span><span class="n">FLR</span><span class="p">):</span>
|
||||
<span class="sd">"""Season Indexed Fuzzy Logical Relationship"""</span>
|
||||
<span class="k">def</span> <span class="nf">__init__</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">index</span><span class="p">,</span> <span class="n">LHS</span><span class="p">,</span> <span class="n">RHS</span><span class="p">):</span>
|
||||
<span class="sd">"""</span>
|
||||
<span class="w"> </span><span class="sd">"""Season Indexed Fuzzy Logical Relationship"""</span>
|
||||
<span class="k">def</span> <span class="fm">__init__</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">index</span><span class="p">,</span> <span class="n">LHS</span><span class="p">,</span> <span class="n">RHS</span><span class="p">):</span>
|
||||
<span class="w"> </span><span class="sd">"""</span>
|
||||
<span class="sd"> Create a Season Indexed Fuzzy Logical Relationship</span>
|
||||
<span class="sd"> """</span>
|
||||
<span class="nb">super</span><span class="p">(</span><span class="n">IndexedFLR</span><span class="p">,</span> <span class="bp">self</span><span class="p">)</span><span class="o">.</span><span class="fm">__init__</span><span class="p">(</span><span class="n">LHS</span><span class="p">,</span> <span class="n">RHS</span><span class="p">)</span>
|
||||
<span class="bp">self</span><span class="o">.</span><span class="n">index</span> <span class="o">=</span> <span class="n">index</span>
|
||||
<span class="sd">"""seasonal index"""</span>
|
||||
<span class="w"> </span><span class="sd">"""seasonal index"""</span>
|
||||
|
||||
<span class="k">def</span> <span class="nf">__str__</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
|
||||
<span class="k">def</span> <span class="fm">__str__</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
|
||||
<span class="k">return</span> <span class="nb">str</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">index</span><span class="p">)</span> <span class="o">+</span> <span class="s2">": "</span><span class="o">+</span> <span class="nb">str</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">LHS</span><span class="p">)</span> <span class="o">+</span> <span class="s2">" -> "</span> <span class="o">+</span> <span class="nb">str</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">RHS</span><span class="p">)</span></div>
|
||||
|
||||
|
||||
<div class="viewcode-block" id="generate_high_order_recurrent_flr"><a class="viewcode-back" href="../../../pyFTS.common.html#pyFTS.common.FLR.generate_high_order_recurrent_flr">[docs]</a><span class="k">def</span> <span class="nf">generate_high_order_recurrent_flr</span><span class="p">(</span><span class="n">fuzzyData</span><span class="p">):</span>
|
||||
<span class="sd">"""</span>
|
||||
<span class="w"> </span><span class="sd">"""</span>
|
||||
<span class="sd"> Create a ordered FLR set from a list of fuzzy sets with recurrence</span>
|
||||
|
||||
<span class="sd"> :param fuzzyData: ordered list of fuzzy sets</span>
|
||||
@ -107,7 +107,7 @@
|
||||
|
||||
|
||||
<div class="viewcode-block" id="generate_recurrent_flrs"><a class="viewcode-back" href="../../../pyFTS.common.html#pyFTS.common.FLR.generate_recurrent_flrs">[docs]</a><span class="k">def</span> <span class="nf">generate_recurrent_flrs</span><span class="p">(</span><span class="n">fuzzyData</span><span class="p">,</span> <span class="n">steps</span> <span class="o">=</span> <span class="mi">1</span><span class="p">):</span>
|
||||
<span class="sd">"""</span>
|
||||
<span class="w"> </span><span class="sd">"""</span>
|
||||
<span class="sd"> Create a ordered FLR set from a list of fuzzy sets with recurrence</span>
|
||||
|
||||
<span class="sd"> :param fuzzyData: ordered list of fuzzy sets</span>
|
||||
@ -127,7 +127,7 @@
|
||||
|
||||
|
||||
<div class="viewcode-block" id="generate_non_recurrent_flrs"><a class="viewcode-back" href="../../../pyFTS.common.html#pyFTS.common.FLR.generate_non_recurrent_flrs">[docs]</a><span class="k">def</span> <span class="nf">generate_non_recurrent_flrs</span><span class="p">(</span><span class="n">fuzzyData</span><span class="p">,</span> <span class="n">steps</span> <span class="o">=</span> <span class="mi">1</span><span class="p">):</span>
|
||||
<span class="sd">"""</span>
|
||||
<span class="w"> </span><span class="sd">"""</span>
|
||||
<span class="sd"> Create a ordered FLR set from a list of fuzzy sets without recurrence</span>
|
||||
|
||||
<span class="sd"> :param fuzzyData: ordered list of fuzzy sets</span>
|
||||
@ -141,7 +141,7 @@
|
||||
|
||||
|
||||
<div class="viewcode-block" id="generate_indexed_flrs"><a class="viewcode-back" href="../../../pyFTS.common.html#pyFTS.common.FLR.generate_indexed_flrs">[docs]</a><span class="k">def</span> <span class="nf">generate_indexed_flrs</span><span class="p">(</span><span class="n">sets</span><span class="p">,</span> <span class="n">indexer</span><span class="p">,</span> <span class="n">data</span><span class="p">,</span> <span class="n">transformation</span><span class="o">=</span><span class="kc">None</span><span class="p">,</span> <span class="n">alpha_cut</span><span class="o">=</span><span class="mf">0.0</span><span class="p">):</span>
|
||||
<span class="sd">"""</span>
|
||||
<span class="w"> </span><span class="sd">"""</span>
|
||||
<span class="sd"> Create a season-indexed ordered FLR set from a list of fuzzy sets with recurrence</span>
|
||||
|
||||
<span class="sd"> :param sets: fuzzy sets</span>
|
||||
@ -201,7 +201,7 @@
|
||||
</div>
|
||||
<div class="footer" role="contentinfo">
|
||||
© Copyright 2022, Machine Intelligence and Data Science Laboratory - UFMG - Brazil.
|
||||
Created using <a href="https://www.sphinx-doc.org/">Sphinx</a> 4.5.0.
|
||||
Created using <a href="https://www.sphinx-doc.org/">Sphinx</a> 4.3.2.
|
||||
</div>
|
||||
</body>
|
||||
</html>
|
||||
@ -44,35 +44,35 @@
|
||||
|
||||
<h1>Source code for pyFTS.common.FuzzySet</h1><div class="highlight"><pre>
|
||||
<span></span><span class="kn">import</span> <span class="nn">numpy</span> <span class="k">as</span> <span class="nn">np</span>
|
||||
<span class="kn">from</span> <span class="nn">pyFTS</span> <span class="k">import</span> <span class="o">*</span>
|
||||
<span class="kn">from</span> <span class="nn">pyFTS.common</span> <span class="k">import</span> <span class="n">Membership</span>
|
||||
<span class="kn">from</span> <span class="nn">pyFTS</span> <span class="kn">import</span> <span class="o">*</span>
|
||||
<span class="kn">from</span> <span class="nn">pyFTS.common</span> <span class="kn">import</span> <span class="n">Membership</span>
|
||||
|
||||
|
||||
<div class="viewcode-block" id="FuzzySet"><a class="viewcode-back" href="../../../pyFTS.common.html#pyFTS.common.FuzzySet.FuzzySet">[docs]</a><span class="k">class</span> <span class="nc">FuzzySet</span><span class="p">(</span><span class="nb">object</span><span class="p">):</span>
|
||||
<span class="sd">"""</span>
|
||||
<span class="w"> </span><span class="sd">"""</span>
|
||||
<span class="sd"> Fuzzy Set</span>
|
||||
<span class="sd"> """</span>
|
||||
|
||||
<span class="k">def</span> <span class="nf">__init__</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">name</span> <span class="p">:</span> <span class="nb">str</span><span class="p">,</span> <span class="n">mf</span><span class="p">,</span> <span class="n">parameters</span> <span class="p">:</span> <span class="nb">list</span><span class="p">,</span> <span class="n">centroid</span> <span class="p">:</span> <span class="nb">float</span><span class="p">,</span> <span class="n">alpha</span> <span class="p">:</span> <span class="nb">float</span><span class="o">=</span><span class="mf">1.0</span><span class="p">,</span> <span class="o">**</span><span class="n">kwargs</span><span class="p">):</span>
|
||||
<span class="sd">"""</span>
|
||||
<span class="k">def</span> <span class="fm">__init__</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">name</span> <span class="p">:</span> <span class="nb">str</span><span class="p">,</span> <span class="n">mf</span><span class="p">,</span> <span class="n">parameters</span> <span class="p">:</span> <span class="nb">list</span><span class="p">,</span> <span class="n">centroid</span> <span class="p">:</span> <span class="nb">float</span><span class="p">,</span> <span class="n">alpha</span> <span class="p">:</span> <span class="nb">float</span><span class="o">=</span><span class="mf">1.0</span><span class="p">,</span> <span class="o">**</span><span class="n">kwargs</span><span class="p">):</span>
|
||||
<span class="w"> </span><span class="sd">"""</span>
|
||||
<span class="sd"> Create a Fuzzy Set</span>
|
||||
<span class="sd"> """</span>
|
||||
<span class="bp">self</span><span class="o">.</span><span class="n">name</span> <span class="p">:</span> <span class="nb">str</span> <span class="o">=</span> <span class="n">name</span>
|
||||
<span class="sd">"""The fuzzy set name"""</span>
|
||||
<span class="w"> </span><span class="sd">"""The fuzzy set name"""</span>
|
||||
<span class="bp">self</span><span class="o">.</span><span class="n">mf</span> <span class="o">=</span> <span class="n">mf</span>
|
||||
<span class="sd">"""The membership function"""</span>
|
||||
<span class="w"> </span><span class="sd">"""The membership function"""</span>
|
||||
<span class="bp">self</span><span class="o">.</span><span class="n">parameters</span> <span class="p">:</span> <span class="nb">list</span> <span class="o">=</span> <span class="n">parameters</span>
|
||||
<span class="sd">"""The parameters of the membership function"""</span>
|
||||
<span class="w"> </span><span class="sd">"""The parameters of the membership function"""</span>
|
||||
<span class="bp">self</span><span class="o">.</span><span class="n">centroid</span> <span class="p">:</span> <span class="nb">float</span> <span class="o">=</span> <span class="n">centroid</span>
|
||||
<span class="sd">"""The fuzzy set center of mass (or midpoint)"""</span>
|
||||
<span class="w"> </span><span class="sd">"""The fuzzy set center of mass (or midpoint)"""</span>
|
||||
<span class="bp">self</span><span class="o">.</span><span class="n">alpha</span> <span class="p">:</span> <span class="nb">float</span> <span class="o">=</span> <span class="n">alpha</span>
|
||||
<span class="sd">"""The alpha cut value"""</span>
|
||||
<span class="w"> </span><span class="sd">"""The alpha cut value"""</span>
|
||||
<span class="bp">self</span><span class="o">.</span><span class="n">type</span> <span class="p">:</span> <span class="nb">str</span> <span class="o">=</span> <span class="n">kwargs</span><span class="o">.</span><span class="n">get</span><span class="p">(</span><span class="s1">'type'</span><span class="p">,</span> <span class="s1">'common'</span><span class="p">)</span>
|
||||
<span class="sd">"""The fuzzy set type (common, composite, nonstationary, etc)"""</span>
|
||||
<span class="w"> </span><span class="sd">"""The fuzzy set type (common, composite, nonstationary, etc)"""</span>
|
||||
<span class="bp">self</span><span class="o">.</span><span class="n">variable</span> <span class="o">=</span> <span class="n">kwargs</span><span class="o">.</span><span class="n">get</span><span class="p">(</span><span class="s1">'variable'</span><span class="p">,</span> <span class="kc">None</span><span class="p">)</span>
|
||||
<span class="sd">"""In multivariate time series, indicate for which variable this fuzzy set belogs"""</span>
|
||||
<span class="w"> </span><span class="sd">"""In multivariate time series, indicate for which variable this fuzzy set belogs"""</span>
|
||||
<span class="bp">self</span><span class="o">.</span><span class="n">Z</span> <span class="o">=</span> <span class="kc">None</span>
|
||||
<span class="sd">"""Partition function in respect to the membership function"""</span>
|
||||
<span class="w"> </span><span class="sd">"""Partition function in respect to the membership function"""</span>
|
||||
|
||||
<span class="k">if</span> <span class="n">parameters</span> <span class="ow">is</span> <span class="ow">not</span> <span class="kc">None</span><span class="p">:</span>
|
||||
<span class="k">if</span> <span class="bp">self</span><span class="o">.</span><span class="n">mf</span> <span class="o">==</span> <span class="n">Membership</span><span class="o">.</span><span class="n">gaussmf</span><span class="p">:</span>
|
||||
@ -89,7 +89,7 @@
|
||||
<span class="bp">self</span><span class="o">.</span><span class="n">metadata</span> <span class="o">=</span> <span class="p">{}</span>
|
||||
|
||||
<div class="viewcode-block" id="FuzzySet.transform"><a class="viewcode-back" href="../../../pyFTS.common.html#pyFTS.common.FuzzySet.FuzzySet.transform">[docs]</a> <span class="k">def</span> <span class="nf">transform</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">x</span><span class="p">):</span>
|
||||
<span class="sd">"""</span>
|
||||
<span class="w"> </span><span class="sd">"""</span>
|
||||
<span class="sd"> Preprocess the data point for non native types</span>
|
||||
|
||||
<span class="sd"> :param x:</span>
|
||||
@ -99,7 +99,7 @@
|
||||
<span class="k">return</span> <span class="n">x</span></div>
|
||||
|
||||
<div class="viewcode-block" id="FuzzySet.membership"><a class="viewcode-back" href="../../../pyFTS.common.html#pyFTS.common.FuzzySet.FuzzySet.membership">[docs]</a> <span class="k">def</span> <span class="nf">membership</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">x</span><span class="p">):</span>
|
||||
<span class="sd">"""</span>
|
||||
<span class="w"> </span><span class="sd">"""</span>
|
||||
<span class="sd"> Calculate the membership value of a given input</span>
|
||||
|
||||
<span class="sd"> :param x: input value </span>
|
||||
@ -108,7 +108,7 @@
|
||||
<span class="k">return</span> <span class="bp">self</span><span class="o">.</span><span class="n">mf</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">transform</span><span class="p">(</span><span class="n">x</span><span class="p">),</span> <span class="bp">self</span><span class="o">.</span><span class="n">parameters</span><span class="p">)</span> <span class="o">*</span> <span class="bp">self</span><span class="o">.</span><span class="n">alpha</span></div>
|
||||
|
||||
<div class="viewcode-block" id="FuzzySet.partition_function"><a class="viewcode-back" href="../../../pyFTS.common.html#pyFTS.common.FuzzySet.FuzzySet.partition_function">[docs]</a> <span class="k">def</span> <span class="nf">partition_function</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">uod</span><span class="o">=</span><span class="kc">None</span><span class="p">,</span> <span class="n">nbins</span><span class="o">=</span><span class="mi">100</span><span class="p">):</span>
|
||||
<span class="sd">"""</span>
|
||||
<span class="w"> </span><span class="sd">"""</span>
|
||||
<span class="sd"> Calculate the partition function over the membership function.</span>
|
||||
|
||||
<span class="sd"> :param uod:</span>
|
||||
@ -122,12 +122,12 @@
|
||||
|
||||
<span class="k">return</span> <span class="bp">self</span><span class="o">.</span><span class="n">Z</span></div>
|
||||
|
||||
<span class="k">def</span> <span class="nf">__str__</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
|
||||
<span class="k">def</span> <span class="fm">__str__</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
|
||||
<span class="k">return</span> <span class="bp">self</span><span class="o">.</span><span class="n">name</span> <span class="o">+</span> <span class="s2">": "</span> <span class="o">+</span> <span class="nb">str</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">mf</span><span class="o">.</span><span class="vm">__name__</span><span class="p">)</span> <span class="o">+</span> <span class="s2">"("</span> <span class="o">+</span> <span class="nb">str</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">parameters</span><span class="p">)</span> <span class="o">+</span> <span class="s2">")"</span></div>
|
||||
|
||||
|
||||
<span class="k">def</span> <span class="nf">__binary_search</span><span class="p">(</span><span class="n">x</span><span class="p">,</span> <span class="n">fuzzy_sets</span><span class="p">,</span> <span class="n">ordered_sets</span><span class="p">):</span>
|
||||
<span class="sd">"""</span>
|
||||
<span class="w"> </span><span class="sd">"""</span>
|
||||
<span class="sd"> Search for elegible fuzzy sets to fuzzyfy x</span>
|
||||
|
||||
<span class="sd"> :param x: input value to be fuzzyfied</span>
|
||||
@ -160,7 +160,7 @@
|
||||
|
||||
|
||||
<div class="viewcode-block" id="fuzzyfy"><a class="viewcode-back" href="../../../pyFTS.common.html#pyFTS.common.FuzzySet.fuzzyfy">[docs]</a><span class="k">def</span> <span class="nf">fuzzyfy</span><span class="p">(</span><span class="n">data</span><span class="p">,</span> <span class="n">partitioner</span><span class="p">,</span> <span class="o">**</span><span class="n">kwargs</span><span class="p">):</span>
|
||||
<span class="sd">"""</span>
|
||||
<span class="w"> </span><span class="sd">"""</span>
|
||||
<span class="sd"> A general method for fuzzyfication.</span>
|
||||
|
||||
<span class="sd"> :param data: input value to be fuzzyfied</span>
|
||||
@ -170,6 +170,7 @@
|
||||
<span class="sd"> :keyword method: the fuzzyfication method (fuzzy: all fuzzy memberships, maximum: only the maximum membership)</span>
|
||||
<span class="sd"> :keyword mode: the fuzzyfication mode (sets: return the fuzzy sets names, vector: return a vector with the membership</span>
|
||||
<span class="sd"> values for all fuzzy sets, both: return a list with tuples (fuzzy set, membership value) )</span>
|
||||
<span class="sd"> </span>
|
||||
<span class="sd"> :returns a list with the fuzzyfied values, depending on the mode</span>
|
||||
|
||||
<span class="sd"> """</span>
|
||||
@ -204,7 +205,7 @@
|
||||
|
||||
|
||||
<div class="viewcode-block" id="set_ordered"><a class="viewcode-back" href="../../../pyFTS.common.html#pyFTS.common.FuzzySet.set_ordered">[docs]</a><span class="k">def</span> <span class="nf">set_ordered</span><span class="p">(</span><span class="n">fuzzy_sets</span><span class="p">):</span>
|
||||
<span class="sd">"""</span>
|
||||
<span class="w"> </span><span class="sd">"""</span>
|
||||
<span class="sd"> Order a fuzzy set list by their centroids</span>
|
||||
|
||||
<span class="sd"> :param fuzzy_sets: a dictionary where the key is the fuzzy set name and the value is the fuzzy set object.</span>
|
||||
@ -216,7 +217,7 @@
|
||||
|
||||
|
||||
<div class="viewcode-block" id="fuzzyfy_instance"><a class="viewcode-back" href="../../../pyFTS.common.html#pyFTS.common.FuzzySet.fuzzyfy_instance">[docs]</a><span class="k">def</span> <span class="nf">fuzzyfy_instance</span><span class="p">(</span><span class="n">inst</span><span class="p">,</span> <span class="n">fuzzy_sets</span> <span class="p">:</span> <span class="nb">dict</span> <span class="p">,</span> <span class="n">ordered_sets</span> <span class="p">:</span> <span class="nb">list</span> <span class="o">=</span><span class="kc">None</span><span class="p">):</span>
|
||||
<span class="sd">"""</span>
|
||||
<span class="w"> </span><span class="sd">"""</span>
|
||||
<span class="sd"> Calculate the membership values for a data point given fuzzy sets</span>
|
||||
|
||||
<span class="sd"> :param inst: data point</span>
|
||||
@ -237,7 +238,7 @@
|
||||
|
||||
|
||||
<div class="viewcode-block" id="fuzzyfy_instances"><a class="viewcode-back" href="../../../pyFTS.common.html#pyFTS.common.FuzzySet.fuzzyfy_instances">[docs]</a><span class="k">def</span> <span class="nf">fuzzyfy_instances</span><span class="p">(</span><span class="n">data</span> <span class="p">:</span> <span class="nb">list</span><span class="p">,</span> <span class="n">fuzzy_sets</span> <span class="p">:</span> <span class="nb">dict</span><span class="p">,</span> <span class="n">ordered_sets</span><span class="o">=</span><span class="kc">None</span><span class="p">)</span> <span class="o">-></span> <span class="nb">list</span><span class="p">:</span>
|
||||
<span class="sd">"""</span>
|
||||
<span class="w"> </span><span class="sd">"""</span>
|
||||
<span class="sd"> Calculate the membership values for a data point given fuzzy sets</span>
|
||||
|
||||
<span class="sd"> :param inst: data point</span>
|
||||
@ -255,7 +256,7 @@
|
||||
|
||||
|
||||
<div class="viewcode-block" id="get_fuzzysets"><a class="viewcode-back" href="../../../pyFTS.common.html#pyFTS.common.FuzzySet.get_fuzzysets">[docs]</a><span class="k">def</span> <span class="nf">get_fuzzysets</span><span class="p">(</span><span class="n">inst</span><span class="p">,</span> <span class="n">fuzzy_sets</span> <span class="p">:</span> <span class="nb">dict</span><span class="p">,</span> <span class="n">ordered_sets</span> <span class="p">:</span> <span class="nb">list</span> <span class="o">=</span><span class="kc">None</span><span class="p">,</span> <span class="n">alpha_cut</span> <span class="p">:</span> <span class="nb">float</span> <span class="o">=</span><span class="mf">0.0</span><span class="p">)</span> <span class="o">-></span> <span class="nb">list</span><span class="p">:</span>
|
||||
<span class="sd">"""</span>
|
||||
<span class="w"> </span><span class="sd">"""</span>
|
||||
<span class="sd"> Return the fuzzy sets which membership value for a inst is greater than the alpha_cut</span>
|
||||
|
||||
<span class="sd"> :param inst: data point</span>
|
||||
@ -278,7 +279,7 @@
|
||||
|
||||
|
||||
<div class="viewcode-block" id="get_maximum_membership_fuzzyset"><a class="viewcode-back" href="../../../pyFTS.common.html#pyFTS.common.FuzzySet.get_maximum_membership_fuzzyset">[docs]</a><span class="k">def</span> <span class="nf">get_maximum_membership_fuzzyset</span><span class="p">(</span><span class="n">inst</span><span class="p">,</span> <span class="n">fuzzy_sets</span><span class="p">,</span> <span class="n">ordered_sets</span><span class="o">=</span><span class="kc">None</span><span class="p">)</span> <span class="o">-></span> <span class="n">FuzzySet</span><span class="p">:</span>
|
||||
<span class="sd">"""</span>
|
||||
<span class="w"> </span><span class="sd">"""</span>
|
||||
<span class="sd"> Fuzzify a data point, returning the fuzzy set with maximum membership value</span>
|
||||
|
||||
<span class="sd"> :param inst: data point</span>
|
||||
@ -294,7 +295,7 @@
|
||||
|
||||
|
||||
<div class="viewcode-block" id="get_maximum_membership_fuzzyset_index"><a class="viewcode-back" href="../../../pyFTS.common.html#pyFTS.common.FuzzySet.get_maximum_membership_fuzzyset_index">[docs]</a><span class="k">def</span> <span class="nf">get_maximum_membership_fuzzyset_index</span><span class="p">(</span><span class="n">inst</span><span class="p">,</span> <span class="n">fuzzy_sets</span><span class="p">)</span> <span class="o">-></span> <span class="nb">int</span><span class="p">:</span>
|
||||
<span class="sd">"""</span>
|
||||
<span class="w"> </span><span class="sd">"""</span>
|
||||
<span class="sd"> Fuzzify a data point, returning the fuzzy set with maximum membership value</span>
|
||||
|
||||
<span class="sd"> :param inst: data point</span>
|
||||
@ -391,7 +392,7 @@
|
||||
</div>
|
||||
<div class="footer" role="contentinfo">
|
||||
© Copyright 2022, Machine Intelligence and Data Science Laboratory - UFMG - Brazil.
|
||||
Created using <a href="https://www.sphinx-doc.org/">Sphinx</a> 4.5.0.
|
||||
Created using <a href="https://www.sphinx-doc.org/">Sphinx</a> 4.3.2.
|
||||
</div>
|
||||
</body>
|
||||
</html>
|
||||
@ -49,11 +49,11 @@
|
||||
|
||||
<span class="kn">import</span> <span class="nn">numpy</span> <span class="k">as</span> <span class="nn">np</span>
|
||||
<span class="kn">import</span> <span class="nn">math</span>
|
||||
<span class="kn">from</span> <span class="nn">pyFTS</span> <span class="k">import</span> <span class="o">*</span>
|
||||
<span class="kn">from</span> <span class="nn">pyFTS</span> <span class="kn">import</span> <span class="o">*</span>
|
||||
|
||||
|
||||
<div class="viewcode-block" id="trimf"><a class="viewcode-back" href="../../../pyFTS.common.html#pyFTS.common.Membership.trimf">[docs]</a><span class="k">def</span> <span class="nf">trimf</span><span class="p">(</span><span class="n">x</span><span class="p">,</span> <span class="n">parameters</span><span class="p">):</span>
|
||||
<span class="sd">"""</span>
|
||||
<span class="w"> </span><span class="sd">"""</span>
|
||||
<span class="sd"> Triangular fuzzy membership function</span>
|
||||
|
||||
<span class="sd"> :param x: data point</span>
|
||||
@ -73,7 +73,7 @@
|
||||
|
||||
|
||||
<div class="viewcode-block" id="trapmf"><a class="viewcode-back" href="../../../pyFTS.common.html#pyFTS.common.Membership.trapmf">[docs]</a><span class="k">def</span> <span class="nf">trapmf</span><span class="p">(</span><span class="n">x</span><span class="p">,</span> <span class="n">parameters</span><span class="p">):</span>
|
||||
<span class="sd">"""</span>
|
||||
<span class="w"> </span><span class="sd">"""</span>
|
||||
<span class="sd"> Trapezoidal fuzzy membership function</span>
|
||||
|
||||
<span class="sd"> :param x: data point</span>
|
||||
@ -94,7 +94,7 @@
|
||||
|
||||
|
||||
<div class="viewcode-block" id="gaussmf"><a class="viewcode-back" href="../../../pyFTS.common.html#pyFTS.common.Membership.gaussmf">[docs]</a><span class="k">def</span> <span class="nf">gaussmf</span><span class="p">(</span><span class="n">x</span><span class="p">,</span> <span class="n">parameters</span><span class="p">):</span>
|
||||
<span class="sd">"""</span>
|
||||
<span class="w"> </span><span class="sd">"""</span>
|
||||
<span class="sd"> Gaussian fuzzy membership function</span>
|
||||
|
||||
<span class="sd"> :param x: data point</span>
|
||||
@ -106,7 +106,7 @@
|
||||
|
||||
|
||||
<div class="viewcode-block" id="bellmf"><a class="viewcode-back" href="../../../pyFTS.common.html#pyFTS.common.Membership.bellmf">[docs]</a><span class="k">def</span> <span class="nf">bellmf</span><span class="p">(</span><span class="n">x</span><span class="p">,</span> <span class="n">parameters</span><span class="p">):</span>
|
||||
<span class="sd">"""</span>
|
||||
<span class="w"> </span><span class="sd">"""</span>
|
||||
<span class="sd"> Bell shaped membership function</span>
|
||||
|
||||
<span class="sd"> :param x:</span>
|
||||
@ -118,7 +118,7 @@
|
||||
|
||||
|
||||
<div class="viewcode-block" id="sigmf"><a class="viewcode-back" href="../../../pyFTS.common.html#pyFTS.common.Membership.sigmf">[docs]</a><span class="k">def</span> <span class="nf">sigmf</span><span class="p">(</span><span class="n">x</span><span class="p">,</span> <span class="n">parameters</span><span class="p">):</span>
|
||||
<span class="sd">"""</span>
|
||||
<span class="w"> </span><span class="sd">"""</span>
|
||||
<span class="sd"> Sigmoid / Logistic membership function</span>
|
||||
|
||||
<span class="sd"> :param x:</span>
|
||||
@ -129,7 +129,7 @@
|
||||
|
||||
|
||||
<div class="viewcode-block" id="singleton"><a class="viewcode-back" href="../../../pyFTS.common.html#pyFTS.common.Membership.singleton">[docs]</a><span class="k">def</span> <span class="nf">singleton</span><span class="p">(</span><span class="n">x</span><span class="p">,</span> <span class="n">parameters</span><span class="p">):</span>
|
||||
<span class="sd">"""</span>
|
||||
<span class="w"> </span><span class="sd">"""</span>
|
||||
<span class="sd"> Singleton membership function, a single value fuzzy function</span>
|
||||
|
||||
<span class="sd"> :param x:</span>
|
||||
@ -175,7 +175,7 @@
|
||||
</div>
|
||||
<div class="footer" role="contentinfo">
|
||||
© Copyright 2022, Machine Intelligence and Data Science Laboratory - UFMG - Brazil.
|
||||
Created using <a href="https://www.sphinx-doc.org/">Sphinx</a> 4.5.0.
|
||||
Created using <a href="https://www.sphinx-doc.org/">Sphinx</a> 4.3.2.
|
||||
</div>
|
||||
</body>
|
||||
</html>
|
||||
@ -43,7 +43,7 @@
|
||||
<div class="body" role="main">
|
||||
|
||||
<h1>Source code for pyFTS.common.SortedCollection</h1><div class="highlight"><pre>
|
||||
<span></span><span class="kn">from</span> <span class="nn">bisect</span> <span class="k">import</span> <span class="n">bisect_left</span><span class="p">,</span> <span class="n">bisect_right</span>
|
||||
<span></span><span class="kn">from</span> <span class="nn">bisect</span> <span class="kn">import</span> <span class="n">bisect_left</span><span class="p">,</span> <span class="n">bisect_right</span>
|
||||
|
||||
<span class="c1">#</span>
|
||||
<span class="c1"># Original Source Code: https://code.activestate.com/recipes/577197-sortedcollection/</span>
|
||||
@ -51,7 +51,7 @@
|
||||
|
||||
|
||||
<div class="viewcode-block" id="SortedCollection"><a class="viewcode-back" href="../../../pyFTS.common.html#pyFTS.common.SortedCollection.SortedCollection">[docs]</a><span class="k">class</span> <span class="nc">SortedCollection</span><span class="p">(</span><span class="nb">object</span><span class="p">):</span>
|
||||
<span class="sd">'''Sequence sorted by a key function.</span>
|
||||
<span class="w"> </span><span class="sd">'''Sequence sorted by a key function.</span>
|
||||
|
||||
<span class="sd"> SortedCollection() is much easier to work with than using bisect() directly.</span>
|
||||
<span class="sd"> It supports key functions like those use in sorted(), min(), and max().</span>
|
||||
@ -119,7 +119,7 @@
|
||||
|
||||
<span class="sd"> '''</span>
|
||||
|
||||
<span class="k">def</span> <span class="nf">__init__</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">iterable</span><span class="o">=</span><span class="p">(),</span> <span class="n">key</span><span class="o">=</span><span class="kc">None</span><span class="p">):</span>
|
||||
<span class="k">def</span> <span class="fm">__init__</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">iterable</span><span class="o">=</span><span class="p">(),</span> <span class="n">key</span><span class="o">=</span><span class="kc">None</span><span class="p">):</span>
|
||||
<span class="bp">self</span><span class="o">.</span><span class="n">_given_key</span> <span class="o">=</span> <span class="n">key</span>
|
||||
<span class="n">key</span> <span class="o">=</span> <span class="p">(</span><span class="k">lambda</span> <span class="n">x</span><span class="p">:</span> <span class="n">x</span><span class="p">)</span> <span class="k">if</span> <span class="n">key</span> <span class="ow">is</span> <span class="kc">None</span> <span class="k">else</span> <span class="n">key</span>
|
||||
<span class="n">decorated</span> <span class="o">=</span> <span class="nb">sorted</span><span class="p">((</span><span class="n">key</span><span class="p">(</span><span class="n">item</span><span class="p">),</span> <span class="n">item</span><span class="p">)</span> <span class="k">for</span> <span class="n">item</span> <span class="ow">in</span> <span class="n">iterable</span><span class="p">)</span>
|
||||
@ -145,19 +145,19 @@
|
||||
<div class="viewcode-block" id="SortedCollection.copy"><a class="viewcode-back" href="../../../pyFTS.common.html#pyFTS.common.SortedCollection.SortedCollection.copy">[docs]</a> <span class="k">def</span> <span class="nf">copy</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
|
||||
<span class="k">return</span> <span class="bp">self</span><span class="o">.</span><span class="vm">__class__</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="bp">self</span><span class="o">.</span><span class="n">_key</span><span class="p">)</span></div>
|
||||
|
||||
<span class="k">def</span> <span class="nf">__len__</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
|
||||
<span class="k">def</span> <span class="fm">__len__</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
|
||||
<span class="k">return</span> <span class="nb">len</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">_items</span><span class="p">)</span>
|
||||
|
||||
<span class="k">def</span> <span class="nf">__getitem__</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">i</span><span class="p">):</span>
|
||||
<span class="k">def</span> <span class="fm">__getitem__</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">i</span><span class="p">):</span>
|
||||
<span class="k">return</span> <span class="bp">self</span><span class="o">.</span><span class="n">_items</span><span class="p">[</span><span class="n">i</span><span class="p">]</span>
|
||||
|
||||
<span class="k">def</span> <span class="nf">__iter__</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
|
||||
<span class="k">def</span> <span class="fm">__iter__</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
|
||||
<span class="k">return</span> <span class="nb">iter</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">_items</span><span class="p">)</span>
|
||||
|
||||
<span class="k">def</span> <span class="nf">__reversed__</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
|
||||
<span class="k">def</span> <span class="fm">__reversed__</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
|
||||
<span class="k">return</span> <span class="nb">reversed</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">_items</span><span class="p">)</span>
|
||||
|
||||
<span class="k">def</span> <span class="nf">__repr__</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
|
||||
<span class="k">def</span> <span class="fm">__repr__</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
|
||||
<span class="k">return</span> <span class="s1">'</span><span class="si">%s</span><span class="s1">(</span><span class="si">%r</span><span class="s1">, key=</span><span class="si">%s</span><span class="s1">)'</span> <span class="o">%</span> <span class="p">(</span>
|
||||
<span class="bp">self</span><span class="o">.</span><span class="vm">__class__</span><span class="o">.</span><span class="vm">__name__</span><span class="p">,</span>
|
||||
<span class="bp">self</span><span class="o">.</span><span class="n">_items</span><span class="p">,</span>
|
||||
@ -167,7 +167,7 @@
|
||||
<span class="k">def</span> <span class="nf">__reduce__</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
|
||||
<span class="k">return</span> <span class="bp">self</span><span class="o">.</span><span class="vm">__class__</span><span class="p">,</span> <span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">_items</span><span class="p">,</span> <span class="bp">self</span><span class="o">.</span><span class="n">_given_key</span><span class="p">)</span>
|
||||
|
||||
<span class="k">def</span> <span class="nf">__contains__</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">item</span><span class="p">):</span>
|
||||
<span class="k">def</span> <span class="fm">__contains__</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">item</span><span class="p">):</span>
|
||||
<span class="n">k</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">_key</span><span class="p">(</span><span class="n">item</span><span class="p">)</span>
|
||||
<span class="n">i</span> <span class="o">=</span> <span class="n">bisect_left</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">_keys</span><span class="p">,</span> <span class="n">k</span><span class="p">)</span>
|
||||
<span class="n">j</span> <span class="o">=</span> <span class="n">bisect_right</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">_keys</span><span class="p">,</span> <span class="n">k</span><span class="p">)</span>
|
||||
@ -308,7 +308,7 @@
|
||||
</div>
|
||||
<div class="footer" role="contentinfo">
|
||||
© Copyright 2022, Machine Intelligence and Data Science Laboratory - UFMG - Brazil.
|
||||
Created using <a href="https://www.sphinx-doc.org/">Sphinx</a> 4.5.0.
|
||||
Created using <a href="https://www.sphinx-doc.org/">Sphinx</a> 4.3.2.
|
||||
</div>
|
||||
</body>
|
||||
</html>
|
||||
24
docs/build/html/_modules/pyFTS/common/flrg.html
vendored
24
docs/build/html/_modules/pyFTS/common/flrg.html
vendored
@ -47,20 +47,20 @@
|
||||
|
||||
|
||||
<div class="viewcode-block" id="FLRG"><a class="viewcode-back" href="../../../pyFTS.common.html#pyFTS.common.flrg.FLRG">[docs]</a><span class="k">class</span> <span class="nc">FLRG</span><span class="p">(</span><span class="nb">object</span><span class="p">):</span>
|
||||
<span class="sd">"""</span>
|
||||
<span class="w"> </span><span class="sd">"""</span>
|
||||
<span class="sd"> Fuzzy Logical Relationship Group</span>
|
||||
|
||||
<span class="sd"> Group a set of FLR's with the same LHS. Represents the temporal patterns for time t+1 (the RHS fuzzy sets)</span>
|
||||
<span class="sd"> when the LHS pattern is identified on time t.</span>
|
||||
<span class="sd"> """</span>
|
||||
|
||||
<span class="k">def</span> <span class="nf">__init__</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">order</span><span class="p">,</span> <span class="o">**</span><span class="n">kwargs</span><span class="p">):</span>
|
||||
<span class="k">def</span> <span class="fm">__init__</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">order</span><span class="p">,</span> <span class="o">**</span><span class="n">kwargs</span><span class="p">):</span>
|
||||
<span class="bp">self</span><span class="o">.</span><span class="n">LHS</span> <span class="o">=</span> <span class="kc">None</span>
|
||||
<span class="sd">"""Left Hand Side of the rule"""</span>
|
||||
<span class="w"> </span><span class="sd">"""Left Hand Side of the rule"""</span>
|
||||
<span class="bp">self</span><span class="o">.</span><span class="n">RHS</span> <span class="o">=</span> <span class="kc">None</span>
|
||||
<span class="sd">"""Right Hand Side of the rule"""</span>
|
||||
<span class="w"> </span><span class="sd">"""Right Hand Side of the rule"""</span>
|
||||
<span class="bp">self</span><span class="o">.</span><span class="n">order</span> <span class="o">=</span> <span class="n">order</span>
|
||||
<span class="sd">"""Number of lags on LHS"""</span>
|
||||
<span class="w"> </span><span class="sd">"""Number of lags on LHS"""</span>
|
||||
<span class="bp">self</span><span class="o">.</span><span class="n">midpoint</span> <span class="o">=</span> <span class="kc">None</span>
|
||||
<span class="bp">self</span><span class="o">.</span><span class="n">lower</span> <span class="o">=</span> <span class="kc">None</span>
|
||||
<span class="bp">self</span><span class="o">.</span><span class="n">upper</span> <span class="o">=</span> <span class="kc">None</span>
|
||||
@ -70,7 +70,7 @@
|
||||
<span class="k">pass</span></div>
|
||||
|
||||
<div class="viewcode-block" id="FLRG.get_key"><a class="viewcode-back" href="../../../pyFTS.common.html#pyFTS.common.flrg.FLRG.get_key">[docs]</a> <span class="k">def</span> <span class="nf">get_key</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
|
||||
<span class="sd">"""Returns a unique identifier for this FLRG"""</span>
|
||||
<span class="w"> </span><span class="sd">"""Returns a unique identifier for this FLRG"""</span>
|
||||
<span class="k">if</span> <span class="bp">self</span><span class="o">.</span><span class="n">key</span> <span class="ow">is</span> <span class="kc">None</span><span class="p">:</span>
|
||||
<span class="k">if</span> <span class="nb">isinstance</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">LHS</span><span class="p">,</span> <span class="p">(</span><span class="nb">list</span><span class="p">,</span> <span class="nb">set</span><span class="p">)):</span>
|
||||
<span class="n">names</span> <span class="o">=</span> <span class="p">[</span><span class="n">c</span> <span class="k">for</span> <span class="n">c</span> <span class="ow">in</span> <span class="bp">self</span><span class="o">.</span><span class="n">LHS</span><span class="p">]</span>
|
||||
@ -88,7 +88,7 @@
|
||||
<span class="k">return</span> <span class="bp">self</span><span class="o">.</span><span class="n">key</span></div>
|
||||
|
||||
<div class="viewcode-block" id="FLRG.get_membership"><a class="viewcode-back" href="../../../pyFTS.common.html#pyFTS.common.flrg.FLRG.get_membership">[docs]</a> <span class="k">def</span> <span class="nf">get_membership</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">data</span><span class="p">,</span> <span class="n">sets</span><span class="p">):</span>
|
||||
<span class="sd">"""</span>
|
||||
<span class="w"> </span><span class="sd">"""</span>
|
||||
<span class="sd"> Returns the membership value of the FLRG for the input data</span>
|
||||
|
||||
<span class="sd"> :param data: input data</span>
|
||||
@ -104,7 +104,7 @@
|
||||
<span class="k">return</span> <span class="n">ret</span></div>
|
||||
|
||||
<div class="viewcode-block" id="FLRG.get_midpoint"><a class="viewcode-back" href="../../../pyFTS.common.html#pyFTS.common.flrg.FLRG.get_midpoint">[docs]</a> <span class="k">def</span> <span class="nf">get_midpoint</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">sets</span><span class="p">):</span>
|
||||
<span class="sd">"""</span>
|
||||
<span class="w"> </span><span class="sd">"""</span>
|
||||
<span class="sd"> Returns the midpoint value for the RHS fuzzy sets</span>
|
||||
|
||||
<span class="sd"> :param sets: fuzzy sets</span>
|
||||
@ -121,7 +121,7 @@
|
||||
<span class="k">return</span> <span class="n">np</span><span class="o">.</span><span class="n">array</span><span class="p">([</span><span class="n">sets</span><span class="p">[</span><span class="n">s</span><span class="p">]</span><span class="o">.</span><span class="n">centroid</span> <span class="k">for</span> <span class="n">s</span> <span class="ow">in</span> <span class="bp">self</span><span class="o">.</span><span class="n">RHS</span><span class="o">.</span><span class="n">keys</span><span class="p">()])</span></div>
|
||||
|
||||
<div class="viewcode-block" id="FLRG.get_lower"><a class="viewcode-back" href="../../../pyFTS.common.html#pyFTS.common.flrg.FLRG.get_lower">[docs]</a> <span class="k">def</span> <span class="nf">get_lower</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">sets</span><span class="p">):</span>
|
||||
<span class="sd">"""</span>
|
||||
<span class="w"> </span><span class="sd">"""</span>
|
||||
<span class="sd"> Returns the lower bound value for the RHS fuzzy sets</span>
|
||||
|
||||
<span class="sd"> :param sets: fuzzy sets</span>
|
||||
@ -135,7 +135,7 @@
|
||||
<span class="k">return</span> <span class="bp">self</span><span class="o">.</span><span class="n">lower</span></div>
|
||||
|
||||
<div class="viewcode-block" id="FLRG.get_upper"><a class="viewcode-back" href="../../../pyFTS.common.html#pyFTS.common.flrg.FLRG.get_upper">[docs]</a> <span class="k">def</span> <span class="nf">get_upper</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">sets</span><span class="p">):</span>
|
||||
<span class="sd">"""</span>
|
||||
<span class="w"> </span><span class="sd">"""</span>
|
||||
<span class="sd"> Returns the upper bound value for the RHS fuzzy sets</span>
|
||||
|
||||
<span class="sd"> :param sets: fuzzy sets</span>
|
||||
@ -148,7 +148,7 @@
|
||||
<span class="bp">self</span><span class="o">.</span><span class="n">upper</span> <span class="o">=</span> <span class="nb">max</span><span class="p">([</span><span class="n">sets</span><span class="p">[</span><span class="bp">self</span><span class="o">.</span><span class="n">RHS</span><span class="p">[</span><span class="n">s</span><span class="p">]]</span><span class="o">.</span><span class="n">upper</span> <span class="k">for</span> <span class="n">s</span> <span class="ow">in</span> <span class="bp">self</span><span class="o">.</span><span class="n">RHS</span><span class="o">.</span><span class="n">keys</span><span class="p">()])</span>
|
||||
<span class="k">return</span> <span class="bp">self</span><span class="o">.</span><span class="n">upper</span></div>
|
||||
|
||||
<span class="k">def</span> <span class="nf">__len__</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
|
||||
<span class="k">def</span> <span class="fm">__len__</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
|
||||
<span class="k">return</span> <span class="nb">len</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">RHS</span><span class="p">)</span>
|
||||
|
||||
<div class="viewcode-block" id="FLRG.reset_calculated_values"><a class="viewcode-back" href="../../../pyFTS.common.html#pyFTS.common.flrg.FLRG.reset_calculated_values">[docs]</a> <span class="k">def</span> <span class="nf">reset_calculated_values</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
|
||||
@ -195,7 +195,7 @@
|
||||
</div>
|
||||
<div class="footer" role="contentinfo">
|
||||
© Copyright 2022, Machine Intelligence and Data Science Laboratory - UFMG - Brazil.
|
||||
Created using <a href="https://www.sphinx-doc.org/">Sphinx</a> 4.5.0.
|
||||
Created using <a href="https://www.sphinx-doc.org/">Sphinx</a> 4.3.2.
|
||||
</div>
|
||||
</body>
|
||||
</html>
|
||||
119
docs/build/html/_modules/pyFTS/common/transformations/boxcox.html
vendored
Normal file
119
docs/build/html/_modules/pyFTS/common/transformations/boxcox.html
vendored
Normal file
@ -0,0 +1,119 @@
|
||||
|
||||
|
||||
<!doctype html>
|
||||
|
||||
<html>
|
||||
<head>
|
||||
<meta charset="utf-8" />
|
||||
<meta name="viewport" content="width=device-width, initial-scale=1.0" />
|
||||
<title>pyFTS.common.transformations.boxcox — pyFTS 1.7 documentation</title>
|
||||
<link rel="stylesheet" type="text/css" href="../../../../_static/pygments.css" />
|
||||
<link rel="stylesheet" type="text/css" href="../../../../_static/bizstyle.css" />
|
||||
|
||||
<script data-url_root="../../../../" id="documentation_options" src="../../../../_static/documentation_options.js"></script>
|
||||
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<li class="nav-item nav-item-this"><a href="">pyFTS.common.transformations.boxcox</a></li>
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<h1>Source code for pyFTS.common.transformations.boxcox</h1><div class="highlight"><pre>
|
||||
<span></span><span class="kn">from</span> <span class="nn">pyFTS.common.transformations.transformation</span> <span class="kn">import</span> <span class="n">Transformation</span>
|
||||
|
||||
|
||||
<div class="viewcode-block" id="BoxCox"><a class="viewcode-back" href="../../../../pyFTS.common.transformations.html#pyFTS.common.transformations.boxcox.BoxCox">[docs]</a><span class="k">class</span> <span class="nc">BoxCox</span><span class="p">(</span><span class="n">Transformation</span><span class="p">):</span>
|
||||
<span class="w"> </span><span class="sd">"""</span>
|
||||
<span class="sd"> Box-Cox power transformation</span>
|
||||
|
||||
<span class="sd"> y'(t) = log( y(t) )</span>
|
||||
<span class="sd"> y(t) = exp( y'(t) )</span>
|
||||
<span class="sd"> """</span>
|
||||
<span class="k">def</span> <span class="fm">__init__</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">plambda</span><span class="p">):</span>
|
||||
<span class="nb">super</span><span class="p">(</span><span class="n">BoxCox</span><span class="p">,</span> <span class="bp">self</span><span class="p">)</span><span class="o">.</span><span class="fm">__init__</span><span class="p">()</span>
|
||||
<span class="bp">self</span><span class="o">.</span><span class="n">plambda</span> <span class="o">=</span> <span class="n">plambda</span>
|
||||
<span class="bp">self</span><span class="o">.</span><span class="n">name</span> <span class="o">=</span> <span class="s1">'BoxCox'</span>
|
||||
|
||||
<span class="nd">@property</span>
|
||||
<span class="k">def</span> <span class="nf">parameters</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
|
||||
<span class="k">return</span> <span class="bp">self</span><span class="o">.</span><span class="n">plambda</span>
|
||||
|
||||
<div class="viewcode-block" id="BoxCox.apply"><a class="viewcode-back" href="../../../../pyFTS.common.transformations.html#pyFTS.common.transformations.boxcox.BoxCox.apply">[docs]</a> <span class="k">def</span> <span class="nf">apply</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">data</span><span class="p">,</span> <span class="n">param</span><span class="o">=</span><span class="kc">None</span><span class="p">,</span> <span class="o">**</span><span class="n">kwargs</span><span class="p">):</span>
|
||||
<span class="k">if</span> <span class="bp">self</span><span class="o">.</span><span class="n">plambda</span> <span class="o">!=</span> <span class="mi">0</span><span class="p">:</span>
|
||||
<span class="n">modified</span> <span class="o">=</span> <span class="p">[(</span><span class="n">dat</span> <span class="o">**</span> <span class="bp">self</span><span class="o">.</span><span class="n">plambda</span> <span class="o">-</span> <span class="mi">1</span><span class="p">)</span> <span class="o">/</span> <span class="bp">self</span><span class="o">.</span><span class="n">plambda</span> <span class="k">for</span> <span class="n">dat</span> <span class="ow">in</span> <span class="n">data</span><span class="p">]</span>
|
||||
<span class="k">else</span><span class="p">:</span>
|
||||
<span class="n">modified</span> <span class="o">=</span> <span class="p">[</span><span class="n">np</span><span class="o">.</span><span class="n">log</span><span class="p">(</span><span class="n">dat</span><span class="p">)</span> <span class="k">for</span> <span class="n">dat</span> <span class="ow">in</span> <span class="n">data</span><span class="p">]</span>
|
||||
<span class="k">return</span> <span class="n">np</span><span class="o">.</span><span class="n">array</span><span class="p">(</span><span class="n">modified</span><span class="p">)</span></div>
|
||||
|
||||
<div class="viewcode-block" id="BoxCox.inverse"><a class="viewcode-back" href="../../../../pyFTS.common.transformations.html#pyFTS.common.transformations.boxcox.BoxCox.inverse">[docs]</a> <span class="k">def</span> <span class="nf">inverse</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">data</span><span class="p">,</span> <span class="n">param</span><span class="o">=</span><span class="kc">None</span><span class="p">,</span> <span class="o">**</span><span class="n">kwargs</span><span class="p">):</span>
|
||||
<span class="k">if</span> <span class="bp">self</span><span class="o">.</span><span class="n">plambda</span> <span class="o">!=</span> <span class="mi">0</span><span class="p">:</span>
|
||||
<span class="n">modified</span> <span class="o">=</span> <span class="p">[</span><span class="n">np</span><span class="o">.</span><span class="n">exp</span><span class="p">(</span><span class="n">np</span><span class="o">.</span><span class="n">log</span><span class="p">(</span><span class="n">dat</span> <span class="o">*</span> <span class="bp">self</span><span class="o">.</span><span class="n">plambda</span> <span class="o">+</span> <span class="mi">1</span><span class="p">)</span> <span class="p">)</span> <span class="o">/</span> <span class="bp">self</span><span class="o">.</span><span class="n">plambda</span> <span class="k">for</span> <span class="n">dat</span> <span class="ow">in</span> <span class="n">data</span><span class="p">]</span>
|
||||
<span class="k">else</span><span class="p">:</span>
|
||||
<span class="n">modified</span> <span class="o">=</span> <span class="p">[</span><span class="n">np</span><span class="o">.</span><span class="n">exp</span><span class="p">(</span><span class="n">dat</span><span class="p">)</span> <span class="k">for</span> <span class="n">dat</span> <span class="ow">in</span> <span class="n">data</span><span class="p">]</span>
|
||||
<span class="k">return</span> <span class="n">np</span><span class="o">.</span><span class="n">array</span><span class="p">(</span><span class="n">modified</span><span class="p">)</span></div></div>
|
||||
</pre></div>
|
||||
|
||||
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|
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|
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|
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|
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© Copyright 2022, Machine Intelligence and Data Science Laboratory - UFMG - Brazil.
|
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Created using <a href="https://www.sphinx-doc.org/">Sphinx</a> 4.3.2.
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168
docs/build/html/_modules/pyFTS/common/transformations/differential.html
vendored
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168
docs/build/html/_modules/pyFTS/common/transformations/differential.html
vendored
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@ -0,0 +1,168 @@
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<h1>Source code for pyFTS.common.transformations.differential</h1><div class="highlight"><pre>
|
||||
<span></span><span class="kn">import</span> <span class="nn">numpy</span> <span class="k">as</span> <span class="nn">np</span>
|
||||
<span class="kn">from</span> <span class="nn">pyFTS.common.transformations.transformation</span> <span class="kn">import</span> <span class="n">Transformation</span>
|
||||
|
||||
|
||||
<div class="viewcode-block" id="Differential"><a class="viewcode-back" href="../../../../pyFTS.common.transformations.html#pyFTS.common.transformations.differential.Differential">[docs]</a><span class="k">class</span> <span class="nc">Differential</span><span class="p">(</span><span class="n">Transformation</span><span class="p">):</span>
|
||||
<span class="w"> </span><span class="sd">"""</span>
|
||||
<span class="sd"> Differentiation data transform</span>
|
||||
|
||||
<span class="sd"> y'(t) = y(t) - y(t-1)</span>
|
||||
<span class="sd"> y(t) = y(t-1) + y'(t)</span>
|
||||
<span class="sd"> """</span>
|
||||
<span class="k">def</span> <span class="fm">__init__</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">lag</span><span class="p">):</span>
|
||||
<span class="nb">super</span><span class="p">(</span><span class="n">Differential</span><span class="p">,</span> <span class="bp">self</span><span class="p">)</span><span class="o">.</span><span class="fm">__init__</span><span class="p">()</span>
|
||||
<span class="bp">self</span><span class="o">.</span><span class="n">lag</span> <span class="o">=</span> <span class="n">lag</span>
|
||||
<span class="bp">self</span><span class="o">.</span><span class="n">minimal_length</span> <span class="o">=</span> <span class="mi">2</span>
|
||||
<span class="bp">self</span><span class="o">.</span><span class="n">name</span> <span class="o">=</span> <span class="s1">'Diff'</span>
|
||||
|
||||
<span class="nd">@property</span>
|
||||
<span class="k">def</span> <span class="nf">parameters</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
|
||||
<span class="k">return</span> <span class="bp">self</span><span class="o">.</span><span class="n">lag</span>
|
||||
|
||||
<div class="viewcode-block" id="Differential.apply"><a class="viewcode-back" href="../../../../pyFTS.common.transformations.html#pyFTS.common.transformations.differential.Differential.apply">[docs]</a> <span class="k">def</span> <span class="nf">apply</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">data</span><span class="p">,</span> <span class="n">param</span><span class="o">=</span><span class="kc">None</span><span class="p">,</span> <span class="o">**</span><span class="n">kwargs</span><span class="p">):</span>
|
||||
<span class="k">if</span> <span class="n">param</span> <span class="ow">is</span> <span class="ow">not</span> <span class="kc">None</span><span class="p">:</span>
|
||||
<span class="bp">self</span><span class="o">.</span><span class="n">lag</span> <span class="o">=</span> <span class="n">param</span>
|
||||
|
||||
<span class="k">if</span> <span class="ow">not</span> <span class="nb">isinstance</span><span class="p">(</span><span class="n">data</span><span class="p">,</span> <span class="p">(</span><span class="nb">list</span><span class="p">,</span> <span class="n">np</span><span class="o">.</span><span class="n">ndarray</span><span class="p">,</span> <span class="n">np</span><span class="o">.</span><span class="n">generic</span><span class="p">)):</span>
|
||||
<span class="n">data</span> <span class="o">=</span> <span class="p">[</span><span class="n">data</span><span class="p">]</span>
|
||||
|
||||
<span class="k">if</span> <span class="nb">isinstance</span><span class="p">(</span><span class="n">data</span><span class="p">,</span> <span class="p">(</span><span class="n">np</span><span class="o">.</span><span class="n">ndarray</span><span class="p">,</span> <span class="n">np</span><span class="o">.</span><span class="n">generic</span><span class="p">)):</span>
|
||||
<span class="n">data</span> <span class="o">=</span> <span class="n">data</span><span class="o">.</span><span class="n">tolist</span><span class="p">()</span>
|
||||
|
||||
<span class="n">n</span> <span class="o">=</span> <span class="nb">len</span><span class="p">(</span><span class="n">data</span><span class="p">)</span>
|
||||
<span class="n">diff</span> <span class="o">=</span> <span class="p">[</span><span class="n">data</span><span class="p">[</span><span class="n">t</span><span class="p">]</span> <span class="o">-</span> <span class="n">data</span><span class="p">[</span><span class="n">t</span> <span class="o">-</span> <span class="bp">self</span><span class="o">.</span><span class="n">lag</span><span class="p">]</span> <span class="k">for</span> <span class="n">t</span> <span class="ow">in</span> <span class="n">np</span><span class="o">.</span><span class="n">arange</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">lag</span><span class="p">,</span> <span class="n">n</span><span class="p">)]</span>
|
||||
<span class="k">for</span> <span class="n">t</span> <span class="ow">in</span> <span class="n">np</span><span class="o">.</span><span class="n">arange</span><span class="p">(</span><span class="mi">0</span><span class="p">,</span> <span class="bp">self</span><span class="o">.</span><span class="n">lag</span><span class="p">):</span> <span class="n">diff</span><span class="o">.</span><span class="n">insert</span><span class="p">(</span><span class="mi">0</span><span class="p">,</span> <span class="mi">0</span><span class="p">)</span>
|
||||
<span class="k">return</span> <span class="n">diff</span></div>
|
||||
|
||||
<div class="viewcode-block" id="Differential.inverse"><a class="viewcode-back" href="../../../../pyFTS.common.transformations.html#pyFTS.common.transformations.differential.Differential.inverse">[docs]</a> <span class="k">def</span> <span class="nf">inverse</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">data</span><span class="p">,</span> <span class="n">param</span><span class="p">,</span> <span class="o">**</span><span class="n">kwargs</span><span class="p">):</span>
|
||||
|
||||
<span class="nb">type</span> <span class="o">=</span> <span class="n">kwargs</span><span class="o">.</span><span class="n">get</span><span class="p">(</span><span class="s2">"type"</span><span class="p">,</span><span class="s2">"point"</span><span class="p">)</span>
|
||||
<span class="n">steps_ahead</span> <span class="o">=</span> <span class="n">kwargs</span><span class="o">.</span><span class="n">get</span><span class="p">(</span><span class="s2">"steps_ahead"</span><span class="p">,</span> <span class="mi">1</span><span class="p">)</span>
|
||||
|
||||
<span class="k">if</span> <span class="nb">isinstance</span><span class="p">(</span><span class="n">data</span><span class="p">,</span> <span class="p">(</span><span class="n">np</span><span class="o">.</span><span class="n">ndarray</span><span class="p">,</span> <span class="n">np</span><span class="o">.</span><span class="n">generic</span><span class="p">)):</span>
|
||||
<span class="n">data</span> <span class="o">=</span> <span class="n">data</span><span class="o">.</span><span class="n">tolist</span><span class="p">()</span>
|
||||
|
||||
<span class="k">if</span> <span class="ow">not</span> <span class="nb">isinstance</span><span class="p">(</span><span class="n">data</span><span class="p">,</span> <span class="nb">list</span><span class="p">):</span>
|
||||
<span class="n">data</span> <span class="o">=</span> <span class="p">[</span><span class="n">data</span><span class="p">]</span>
|
||||
|
||||
<span class="n">n</span> <span class="o">=</span> <span class="nb">len</span><span class="p">(</span><span class="n">data</span><span class="p">)</span>
|
||||
|
||||
<span class="c1"># print(n)</span>
|
||||
<span class="c1"># print(len(param))</span>
|
||||
|
||||
<span class="k">if</span> <span class="n">steps_ahead</span> <span class="o">==</span> <span class="mi">1</span><span class="p">:</span>
|
||||
<span class="k">if</span> <span class="nb">type</span> <span class="o">==</span> <span class="s2">"point"</span><span class="p">:</span>
|
||||
<span class="n">inc</span> <span class="o">=</span> <span class="p">[</span><span class="n">data</span><span class="p">[</span><span class="n">t</span><span class="p">]</span> <span class="o">+</span> <span class="n">param</span><span class="p">[</span><span class="n">t</span><span class="p">]</span> <span class="k">for</span> <span class="n">t</span> <span class="ow">in</span> <span class="n">np</span><span class="o">.</span><span class="n">arange</span><span class="p">(</span><span class="mi">0</span><span class="p">,</span> <span class="n">n</span><span class="p">)]</span>
|
||||
<span class="k">elif</span> <span class="nb">type</span> <span class="o">==</span> <span class="s2">"interval"</span><span class="p">:</span>
|
||||
<span class="n">inc</span> <span class="o">=</span> <span class="p">[[</span><span class="n">data</span><span class="p">[</span><span class="n">t</span><span class="p">][</span><span class="mi">0</span><span class="p">]</span> <span class="o">+</span> <span class="n">param</span><span class="p">[</span><span class="n">t</span><span class="p">],</span> <span class="n">data</span><span class="p">[</span><span class="n">t</span><span class="p">][</span><span class="mi">1</span><span class="p">]</span> <span class="o">+</span> <span class="n">param</span><span class="p">[</span><span class="n">t</span><span class="p">]]</span> <span class="k">for</span> <span class="n">t</span> <span class="ow">in</span> <span class="n">np</span><span class="o">.</span><span class="n">arange</span><span class="p">(</span><span class="mi">0</span><span class="p">,</span> <span class="n">n</span><span class="p">)]</span>
|
||||
<span class="k">elif</span> <span class="nb">type</span> <span class="o">==</span> <span class="s2">"distribution"</span><span class="p">:</span>
|
||||
<span class="k">for</span> <span class="n">t</span> <span class="ow">in</span> <span class="n">np</span><span class="o">.</span><span class="n">arange</span><span class="p">(</span><span class="mi">0</span><span class="p">,</span> <span class="n">n</span><span class="p">):</span>
|
||||
<span class="n">data</span><span class="p">[</span><span class="n">t</span><span class="p">]</span><span class="o">.</span><span class="n">differential_offset</span><span class="p">(</span><span class="n">param</span><span class="p">[</span><span class="n">t</span><span class="p">])</span>
|
||||
<span class="n">inc</span> <span class="o">=</span> <span class="n">data</span>
|
||||
<span class="k">else</span><span class="p">:</span>
|
||||
<span class="k">if</span> <span class="nb">type</span> <span class="o">==</span> <span class="s2">"point"</span><span class="p">:</span>
|
||||
<span class="n">inc</span> <span class="o">=</span> <span class="p">[</span><span class="n">data</span><span class="p">[</span><span class="mi">0</span><span class="p">]</span> <span class="o">+</span> <span class="n">param</span><span class="p">[</span><span class="mi">0</span><span class="p">]]</span>
|
||||
<span class="k">for</span> <span class="n">t</span> <span class="ow">in</span> <span class="n">np</span><span class="o">.</span><span class="n">arange</span><span class="p">(</span><span class="mi">1</span><span class="p">,</span> <span class="n">steps_ahead</span><span class="p">):</span>
|
||||
<span class="n">inc</span><span class="o">.</span><span class="n">append</span><span class="p">(</span><span class="n">data</span><span class="p">[</span><span class="n">t</span><span class="p">]</span> <span class="o">+</span> <span class="n">inc</span><span class="p">[</span><span class="n">t</span><span class="o">-</span><span class="mi">1</span><span class="p">])</span>
|
||||
<span class="k">elif</span> <span class="nb">type</span> <span class="o">==</span> <span class="s2">"interval"</span><span class="p">:</span>
|
||||
<span class="n">inc</span> <span class="o">=</span> <span class="p">[[</span><span class="n">data</span><span class="p">[</span><span class="mi">0</span><span class="p">][</span><span class="mi">0</span><span class="p">]</span> <span class="o">+</span> <span class="n">param</span><span class="p">[</span><span class="mi">0</span><span class="p">],</span> <span class="n">data</span><span class="p">[</span><span class="mi">0</span><span class="p">][</span><span class="mi">1</span><span class="p">]</span> <span class="o">+</span> <span class="n">param</span><span class="p">[</span><span class="mi">0</span><span class="p">]]]</span>
|
||||
<span class="k">for</span> <span class="n">t</span> <span class="ow">in</span> <span class="n">np</span><span class="o">.</span><span class="n">arange</span><span class="p">(</span><span class="mi">1</span><span class="p">,</span> <span class="n">steps_ahead</span><span class="p">):</span>
|
||||
<span class="n">inc</span><span class="o">.</span><span class="n">append</span><span class="p">([</span><span class="n">data</span><span class="p">[</span><span class="n">t</span><span class="p">][</span><span class="mi">0</span><span class="p">]</span> <span class="o">+</span> <span class="n">np</span><span class="o">.</span><span class="n">nanmean</span><span class="p">(</span><span class="n">inc</span><span class="p">[</span><span class="n">t</span><span class="o">-</span><span class="mi">1</span><span class="p">]),</span> <span class="n">data</span><span class="p">[</span><span class="n">t</span><span class="p">][</span><span class="mi">1</span><span class="p">]</span> <span class="o">+</span> <span class="n">np</span><span class="o">.</span><span class="n">nanmean</span><span class="p">(</span><span class="n">inc</span><span class="p">[</span><span class="n">t</span><span class="o">-</span><span class="mi">1</span><span class="p">])])</span>
|
||||
<span class="k">elif</span> <span class="nb">type</span> <span class="o">==</span> <span class="s2">"distribution"</span><span class="p">:</span>
|
||||
<span class="n">data</span><span class="p">[</span><span class="mi">0</span><span class="p">]</span><span class="o">.</span><span class="n">differential_offset</span><span class="p">(</span><span class="n">param</span><span class="p">[</span><span class="mi">0</span><span class="p">])</span>
|
||||
<span class="k">for</span> <span class="n">t</span> <span class="ow">in</span> <span class="n">np</span><span class="o">.</span><span class="n">arange</span><span class="p">(</span><span class="mi">1</span><span class="p">,</span> <span class="n">steps_ahead</span><span class="p">):</span>
|
||||
<span class="n">ex</span> <span class="o">=</span> <span class="n">data</span><span class="p">[</span><span class="n">t</span><span class="o">-</span><span class="mi">1</span><span class="p">]</span><span class="o">.</span><span class="n">expected_value</span><span class="p">()</span>
|
||||
<span class="n">data</span><span class="p">[</span><span class="n">t</span><span class="p">]</span><span class="o">.</span><span class="n">differential_offset</span><span class="p">(</span><span class="n">ex</span><span class="p">)</span>
|
||||
<span class="n">inc</span> <span class="o">=</span> <span class="n">data</span>
|
||||
|
||||
<span class="k">if</span> <span class="n">n</span> <span class="o">==</span> <span class="mi">1</span><span class="p">:</span>
|
||||
<span class="k">return</span> <span class="n">inc</span><span class="p">[</span><span class="mi">0</span><span class="p">]</span>
|
||||
<span class="k">else</span><span class="p">:</span>
|
||||
<span class="k">return</span> <span class="n">inc</span></div></div>
|
||||
</pre></div>
|
||||
|
||||
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|
||||
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|
||||
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|
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|
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110
docs/build/html/_modules/pyFTS/common/transformations/normalization.html
vendored
Normal file
110
docs/build/html/_modules/pyFTS/common/transformations/normalization.html
vendored
Normal file
@ -0,0 +1,110 @@
|
||||
|
||||
|
||||
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|
||||
|
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|
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|
||||
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|
||||
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|
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<link rel="stylesheet" type="text/css" href="../../../../_static/pygments.css" />
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<script data-url_root="../../../../" id="documentation_options" src="../../../../_static/documentation_options.js"></script>
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<li class="nav-item nav-item-this"><a href="">pyFTS.common.transformations.normalization</a></li>
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||||
<h1>Source code for pyFTS.common.transformations.normalization</h1><div class="highlight"><pre>
|
||||
<span></span><span class="kn">from</span> <span class="nn">pyFTS.common.transformations.transformation</span> <span class="kn">import</span> <span class="n">Transformation</span>
|
||||
|
||||
|
||||
<div class="viewcode-block" id="Normalization"><a class="viewcode-back" href="../../../../pyFTS.common.transformations.html#pyFTS.common.transformations.normalization.Normalization">[docs]</a><span class="k">class</span> <span class="nc">Normalization</span><span class="p">(</span><span class="n">Transformation</span><span class="p">):</span>
|
||||
<span class="k">def</span> <span class="fm">__init__</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="o">**</span><span class="n">kwargs</span><span class="p">):</span>
|
||||
<span class="nb">super</span><span class="p">(</span><span class="n">Normalization</span><span class="p">,</span> <span class="bp">self</span><span class="p">)</span><span class="o">.</span><span class="fm">__init__</span><span class="p">()</span>
|
||||
<span class="bp">self</span><span class="o">.</span><span class="n">name</span> <span class="o">=</span> <span class="s1">'Normalization'</span>
|
||||
|
||||
<span class="bp">self</span><span class="o">.</span><span class="n">mu</span> <span class="o">=</span> <span class="mi">0</span>
|
||||
<span class="bp">self</span><span class="o">.</span><span class="n">sigma</span> <span class="o">=</span> <span class="mi">0</span>
|
||||
|
||||
|
||||
<div class="viewcode-block" id="Normalization.train"><a class="viewcode-back" href="../../../../pyFTS.common.transformations.html#pyFTS.common.transformations.normalization.Normalization.train">[docs]</a> <span class="k">def</span> <span class="nf">train</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">data</span><span class="p">,</span> <span class="o">**</span><span class="n">kwargs</span><span class="p">):</span>
|
||||
<span class="bp">self</span><span class="o">.</span><span class="n">mu</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">mean</span><span class="p">(</span><span class="n">data</span><span class="p">)</span>
|
||||
<span class="bp">self</span><span class="o">.</span><span class="n">sigma</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">std</span><span class="p">(</span><span class="n">data</span><span class="p">)</span></div>
|
||||
|
||||
<div class="viewcode-block" id="Normalization.apply"><a class="viewcode-back" href="../../../../pyFTS.common.transformations.html#pyFTS.common.transformations.normalization.Normalization.apply">[docs]</a> <span class="k">def</span> <span class="nf">apply</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">data</span><span class="p">,</span> <span class="n">param</span><span class="o">=</span><span class="kc">None</span><span class="p">,</span> <span class="o">**</span><span class="n">kwargs</span><span class="p">):</span>
|
||||
<span class="n">modified</span> <span class="o">=</span> <span class="p">(</span><span class="n">data</span> <span class="o">-</span> <span class="bp">self</span><span class="o">.</span><span class="n">mu</span><span class="p">)</span> <span class="o">/</span> <span class="bp">self</span><span class="o">.</span><span class="n">sigma</span>
|
||||
<span class="k">return</span> <span class="n">modified</span></div>
|
||||
|
||||
<div class="viewcode-block" id="Normalization.inverse"><a class="viewcode-back" href="../../../../pyFTS.common.transformations.html#pyFTS.common.transformations.normalization.Normalization.inverse">[docs]</a> <span class="k">def</span> <span class="nf">inverse</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">data</span><span class="p">,</span> <span class="n">param</span><span class="o">=</span><span class="kc">None</span><span class="p">,</span> <span class="o">**</span><span class="n">kwargs</span><span class="p">):</span>
|
||||
<span class="n">modified</span> <span class="o">=</span> <span class="p">(</span><span class="n">data</span> <span class="o">*</span> <span class="bp">self</span><span class="o">.</span><span class="n">sigma</span><span class="p">)</span> <span class="o">+</span> <span class="bp">self</span><span class="o">.</span><span class="n">mu</span>
|
||||
<span class="k">return</span> <span class="n">modified</span></div></div>
|
||||
</pre></div>
|
||||
|
||||
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111
docs/build/html/_modules/pyFTS/common/transformations/roi.html
vendored
Normal file
111
docs/build/html/_modules/pyFTS/common/transformations/roi.html
vendored
Normal file
@ -0,0 +1,111 @@
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|
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<li class="nav-item nav-item-this"><a href="">pyFTS.common.transformations.roi</a></li>
|
||||
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|
||||
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|
||||
|
||||
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||||
<h1>Source code for pyFTS.common.transformations.roi</h1><div class="highlight"><pre>
|
||||
<span></span><span class="kn">from</span> <span class="nn">pyFTS.common.transformations.transformation</span> <span class="kn">import</span> <span class="n">Transformation</span>
|
||||
<span class="kn">import</span> <span class="nn">numpy</span> <span class="k">as</span> <span class="nn">np</span>
|
||||
|
||||
|
||||
<div class="viewcode-block" id="ROI"><a class="viewcode-back" href="../../../../pyFTS.common.transformations.html#pyFTS.common.transformations.roi.ROI">[docs]</a><span class="k">class</span> <span class="nc">ROI</span><span class="p">(</span><span class="n">Transformation</span><span class="p">):</span>
|
||||
<span class="w"> </span><span class="sd">"""</span>
|
||||
<span class="sd"> Return of Investment (ROI) transformation. Retrieved from Sadaei and Lee (2014) - Multilayer Stock</span>
|
||||
<span class="sd"> Forecasting Model Using Fuzzy Time Series</span>
|
||||
|
||||
<span class="sd"> y'(t) = ( y(t) - y(t-1) ) / y(t-1)</span>
|
||||
<span class="sd"> y(t) = ( y(t-1) * y'(t) ) + y(t-1)</span>
|
||||
<span class="sd"> """</span>
|
||||
<span class="k">def</span> <span class="fm">__init__</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="o">**</span><span class="n">kwargs</span><span class="p">):</span>
|
||||
<span class="nb">super</span><span class="p">(</span><span class="n">ROI</span><span class="p">,</span> <span class="bp">self</span><span class="p">)</span><span class="o">.</span><span class="fm">__init__</span><span class="p">()</span>
|
||||
<span class="bp">self</span><span class="o">.</span><span class="n">name</span> <span class="o">=</span> <span class="s1">'ROI'</span>
|
||||
|
||||
<div class="viewcode-block" id="ROI.apply"><a class="viewcode-back" href="../../../../pyFTS.common.transformations.html#pyFTS.common.transformations.roi.ROI.apply">[docs]</a> <span class="k">def</span> <span class="nf">apply</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">data</span><span class="p">,</span> <span class="n">param</span><span class="o">=</span><span class="kc">None</span><span class="p">,</span> <span class="o">**</span><span class="n">kwargs</span><span class="p">):</span>
|
||||
<span class="n">modified</span> <span class="o">=</span> <span class="p">[(</span><span class="n">data</span><span class="p">[</span><span class="n">i</span><span class="p">]</span> <span class="o">-</span> <span class="n">data</span><span class="p">[</span><span class="n">i</span> <span class="o">-</span> <span class="mi">1</span><span class="p">])</span> <span class="o">/</span> <span class="n">data</span><span class="p">[</span><span class="n">i</span> <span class="o">-</span> <span class="mi">1</span><span class="p">]</span> <span class="k">for</span> <span class="n">i</span> <span class="ow">in</span> <span class="n">np</span><span class="o">.</span><span class="n">arange</span><span class="p">(</span><span class="mi">1</span><span class="p">,</span> <span class="nb">len</span><span class="p">(</span><span class="n">data</span><span class="p">))]</span>
|
||||
<span class="n">modified</span><span class="o">.</span><span class="n">insert</span><span class="p">(</span><span class="mi">0</span><span class="p">,</span> <span class="mf">.0</span><span class="p">)</span>
|
||||
<span class="k">return</span> <span class="n">modified</span></div>
|
||||
|
||||
<div class="viewcode-block" id="ROI.inverse"><a class="viewcode-back" href="../../../../pyFTS.common.transformations.html#pyFTS.common.transformations.roi.ROI.inverse">[docs]</a> <span class="k">def</span> <span class="nf">inverse</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">data</span><span class="p">,</span> <span class="n">param</span><span class="o">=</span><span class="kc">None</span><span class="p">,</span> <span class="o">**</span><span class="n">kwargs</span><span class="p">):</span>
|
||||
<span class="n">modified</span> <span class="o">=</span> <span class="p">[(</span><span class="n">param</span><span class="p">[</span><span class="n">i</span> <span class="o">-</span> <span class="mi">1</span><span class="p">]</span> <span class="o">*</span> <span class="n">data</span><span class="p">[</span><span class="n">i</span><span class="p">])</span> <span class="o">+</span> <span class="n">param</span><span class="p">[</span><span class="n">i</span> <span class="o">-</span> <span class="mi">1</span><span class="p">]</span> <span class="k">for</span> <span class="n">i</span> <span class="ow">in</span> <span class="n">np</span><span class="o">.</span><span class="n">arange</span><span class="p">(</span><span class="mi">1</span><span class="p">,</span> <span class="nb">len</span><span class="p">(</span><span class="n">data</span><span class="p">))]</span>
|
||||
<span class="k">return</span> <span class="n">modified</span></div></div>
|
||||
</pre></div>
|
||||
|
||||
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133
docs/build/html/_modules/pyFTS/common/transformations/scale.html
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133
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<h1>Source code for pyFTS.common.transformations.scale</h1><div class="highlight"><pre>
|
||||
<span></span><span class="kn">from</span> <span class="nn">pyFTS.common.transformations.transformation</span> <span class="kn">import</span> <span class="n">Transformation</span>
|
||||
|
||||
|
||||
<div class="viewcode-block" id="Scale"><a class="viewcode-back" href="../../../../pyFTS.common.transformations.html#pyFTS.common.transformations.scale.Scale">[docs]</a><span class="k">class</span> <span class="nc">Scale</span><span class="p">(</span><span class="n">Transformation</span><span class="p">):</span>
|
||||
<span class="w"> </span><span class="sd">"""</span>
|
||||
<span class="sd"> Scale data inside a interval [min, max]</span>
|
||||
|
||||
<span class="sd"> </span>
|
||||
<span class="sd"> """</span>
|
||||
<span class="k">def</span> <span class="fm">__init__</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="nb">min</span><span class="o">=</span><span class="mi">0</span><span class="p">,</span> <span class="nb">max</span><span class="o">=</span><span class="mi">1</span><span class="p">):</span>
|
||||
<span class="nb">super</span><span class="p">(</span><span class="n">Scale</span><span class="p">,</span> <span class="bp">self</span><span class="p">)</span><span class="o">.</span><span class="fm">__init__</span><span class="p">()</span>
|
||||
<span class="bp">self</span><span class="o">.</span><span class="n">data_max</span> <span class="o">=</span> <span class="kc">None</span>
|
||||
<span class="bp">self</span><span class="o">.</span><span class="n">data_min</span> <span class="o">=</span> <span class="kc">None</span>
|
||||
<span class="bp">self</span><span class="o">.</span><span class="n">transf_max</span> <span class="o">=</span> <span class="nb">max</span>
|
||||
<span class="bp">self</span><span class="o">.</span><span class="n">transf_min</span> <span class="o">=</span> <span class="nb">min</span>
|
||||
<span class="bp">self</span><span class="o">.</span><span class="n">name</span> <span class="o">=</span> <span class="s1">'Scale'</span>
|
||||
|
||||
<span class="nd">@property</span>
|
||||
<span class="k">def</span> <span class="nf">parameters</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
|
||||
<span class="k">return</span> <span class="p">[</span><span class="bp">self</span><span class="o">.</span><span class="n">transf_max</span><span class="p">,</span> <span class="bp">self</span><span class="o">.</span><span class="n">transf_min</span><span class="p">]</span>
|
||||
|
||||
<div class="viewcode-block" id="Scale.apply"><a class="viewcode-back" href="../../../../pyFTS.common.transformations.html#pyFTS.common.transformations.scale.Scale.apply">[docs]</a> <span class="k">def</span> <span class="nf">apply</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">data</span><span class="p">,</span> <span class="n">param</span><span class="o">=</span><span class="kc">None</span><span class="p">,</span><span class="o">**</span><span class="n">kwargs</span><span class="p">):</span>
|
||||
<span class="k">if</span> <span class="bp">self</span><span class="o">.</span><span class="n">data_max</span> <span class="ow">is</span> <span class="kc">None</span><span class="p">:</span>
|
||||
<span class="bp">self</span><span class="o">.</span><span class="n">data_max</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">nanmax</span><span class="p">(</span><span class="n">data</span><span class="p">)</span>
|
||||
<span class="bp">self</span><span class="o">.</span><span class="n">data_min</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">nanmin</span><span class="p">(</span><span class="n">data</span><span class="p">)</span>
|
||||
<span class="n">data_range</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">data_max</span> <span class="o">-</span> <span class="bp">self</span><span class="o">.</span><span class="n">data_min</span>
|
||||
<span class="n">transf_range</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">transf_max</span> <span class="o">-</span> <span class="bp">self</span><span class="o">.</span><span class="n">transf_min</span>
|
||||
<span class="k">if</span> <span class="nb">isinstance</span><span class="p">(</span><span class="n">data</span><span class="p">,</span> <span class="nb">list</span><span class="p">):</span>
|
||||
<span class="n">tmp</span> <span class="o">=</span> <span class="p">[(</span><span class="n">k</span> <span class="o">+</span> <span class="p">(</span><span class="o">-</span><span class="mi">1</span> <span class="o">*</span> <span class="bp">self</span><span class="o">.</span><span class="n">data_min</span><span class="p">))</span> <span class="o">/</span> <span class="n">data_range</span> <span class="k">for</span> <span class="n">k</span> <span class="ow">in</span> <span class="n">data</span><span class="p">]</span>
|
||||
<span class="n">tmp2</span> <span class="o">=</span> <span class="p">[</span> <span class="p">(</span><span class="n">k</span> <span class="o">*</span> <span class="n">transf_range</span><span class="p">)</span> <span class="o">+</span> <span class="bp">self</span><span class="o">.</span><span class="n">transf_min</span> <span class="k">for</span> <span class="n">k</span> <span class="ow">in</span> <span class="n">tmp</span><span class="p">]</span>
|
||||
<span class="k">else</span><span class="p">:</span>
|
||||
<span class="n">tmp</span> <span class="o">=</span> <span class="p">(</span><span class="n">data</span> <span class="o">+</span> <span class="p">(</span><span class="o">-</span><span class="mi">1</span> <span class="o">*</span> <span class="bp">self</span><span class="o">.</span><span class="n">data_min</span><span class="p">))</span> <span class="o">/</span> <span class="n">data_range</span>
|
||||
<span class="n">tmp2</span> <span class="o">=</span> <span class="p">(</span><span class="n">tmp</span> <span class="o">*</span> <span class="n">transf_range</span><span class="p">)</span> <span class="o">+</span> <span class="bp">self</span><span class="o">.</span><span class="n">transf_min</span>
|
||||
|
||||
<span class="k">return</span> <span class="n">tmp2</span></div>
|
||||
|
||||
<div class="viewcode-block" id="Scale.inverse"><a class="viewcode-back" href="../../../../pyFTS.common.transformations.html#pyFTS.common.transformations.scale.Scale.inverse">[docs]</a> <span class="k">def</span> <span class="nf">inverse</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">data</span><span class="p">,</span> <span class="n">param</span><span class="p">,</span> <span class="o">**</span><span class="n">kwargs</span><span class="p">):</span>
|
||||
<span class="n">data_range</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">data_max</span> <span class="o">-</span> <span class="bp">self</span><span class="o">.</span><span class="n">data_min</span>
|
||||
<span class="n">transf_range</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">transf_max</span> <span class="o">-</span> <span class="bp">self</span><span class="o">.</span><span class="n">transf_min</span>
|
||||
<span class="k">if</span> <span class="nb">isinstance</span><span class="p">(</span><span class="n">data</span><span class="p">,</span> <span class="nb">list</span><span class="p">):</span>
|
||||
<span class="n">tmp2</span> <span class="o">=</span> <span class="p">[(</span><span class="n">k</span> <span class="o">-</span> <span class="bp">self</span><span class="o">.</span><span class="n">transf_min</span><span class="p">)</span> <span class="o">/</span> <span class="n">transf_range</span> <span class="k">for</span> <span class="n">k</span> <span class="ow">in</span> <span class="n">data</span><span class="p">]</span>
|
||||
<span class="n">tmp</span> <span class="o">=</span> <span class="p">[(</span><span class="n">k</span> <span class="o">*</span> <span class="n">data_range</span><span class="p">)</span> <span class="o">+</span> <span class="bp">self</span><span class="o">.</span><span class="n">data_min</span> <span class="k">for</span> <span class="n">k</span> <span class="ow">in</span> <span class="n">tmp2</span><span class="p">]</span>
|
||||
<span class="k">else</span><span class="p">:</span>
|
||||
<span class="n">tmp2</span> <span class="o">=</span> <span class="p">(</span><span class="n">data</span> <span class="o">-</span> <span class="bp">self</span><span class="o">.</span><span class="n">transf_min</span><span class="p">)</span> <span class="o">/</span> <span class="n">transf_range</span>
|
||||
<span class="n">tmp</span> <span class="o">=</span> <span class="p">(</span><span class="n">tmp2</span> <span class="o">*</span> <span class="n">data_range</span><span class="p">)</span> <span class="o">+</span> <span class="bp">self</span><span class="o">.</span><span class="n">data_min</span>
|
||||
<span class="k">return</span> <span class="n">tmp</span></div></div>
|
||||
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|
||||
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<h1>Source code for pyFTS.common.transformations.smoothing</h1><div class="highlight"><pre>
|
||||
<span></span><span class="kn">from</span> <span class="nn">pyFTS.common.transformations.transformation</span> <span class="kn">import</span> <span class="n">Transformation</span>
|
||||
<span class="kn">import</span> <span class="nn">numpy</span> <span class="k">as</span> <span class="nn">np</span>
|
||||
|
||||
<div class="viewcode-block" id="MovingAverage"><a class="viewcode-back" href="../../../../pyFTS.common.transformations.html#pyFTS.common.transformations.smoothing.MovingAverage">[docs]</a><span class="k">class</span> <span class="nc">MovingAverage</span><span class="p">(</span><span class="n">Transformation</span><span class="p">):</span>
|
||||
<span class="k">def</span> <span class="fm">__init__</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="o">**</span><span class="n">kwargs</span><span class="p">):</span>
|
||||
<span class="nb">super</span><span class="p">(</span><span class="n">MovingAverage</span><span class="p">,</span> <span class="bp">self</span><span class="p">)</span><span class="o">.</span><span class="fm">__init__</span><span class="p">(</span><span class="o">**</span><span class="n">kwargs</span><span class="p">)</span>
|
||||
<span class="bp">self</span><span class="o">.</span><span class="n">name</span> <span class="o">=</span> <span class="s1">'Moving Average Smoothing'</span>
|
||||
<span class="bp">self</span><span class="o">.</span><span class="n">steps</span> <span class="o">=</span> <span class="n">kwargs</span><span class="o">.</span><span class="n">get</span><span class="p">(</span><span class="s1">'steps'</span><span class="p">,</span><span class="mi">2</span><span class="p">)</span>
|
||||
|
||||
<div class="viewcode-block" id="MovingAverage.apply"><a class="viewcode-back" href="../../../../pyFTS.common.transformations.html#pyFTS.common.transformations.smoothing.MovingAverage.apply">[docs]</a> <span class="k">def</span> <span class="nf">apply</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">data</span><span class="p">,</span> <span class="n">param</span><span class="o">=</span><span class="kc">None</span><span class="p">,</span> <span class="o">**</span><span class="n">kwargs</span><span class="p">):</span>
|
||||
<span class="n">steps</span> <span class="o">=</span> <span class="n">param</span> <span class="k">if</span> <span class="n">param</span> <span class="ow">is</span> <span class="ow">not</span> <span class="kc">None</span> <span class="k">else</span> <span class="bp">self</span><span class="o">.</span><span class="n">steps</span>
|
||||
<span class="n">ma</span> <span class="o">=</span> <span class="p">[</span><span class="n">k</span> <span class="k">for</span> <span class="n">k</span> <span class="ow">in</span> <span class="n">data</span><span class="p">[:</span><span class="n">steps</span><span class="p">]]</span>
|
||||
<span class="n">ma</span><span class="o">.</span><span class="n">extend</span><span class="p">([</span><span class="n">np</span><span class="o">.</span><span class="n">mean</span><span class="p">(</span><span class="n">data</span><span class="p">[</span><span class="n">k</span><span class="o">-</span><span class="n">steps</span><span class="p">:</span><span class="n">k</span><span class="p">])</span> <span class="k">for</span> <span class="n">k</span> <span class="ow">in</span> <span class="nb">range</span><span class="p">(</span><span class="n">steps</span><span class="p">,</span> <span class="nb">len</span><span class="p">(</span><span class="n">data</span><span class="p">))])</span>
|
||||
<span class="k">return</span> <span class="n">ma</span></div>
|
||||
|
||||
<div class="viewcode-block" id="MovingAverage.inverse"><a class="viewcode-back" href="../../../../pyFTS.common.transformations.html#pyFTS.common.transformations.smoothing.MovingAverage.inverse">[docs]</a> <span class="k">def</span> <span class="nf">inverse</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">data</span><span class="p">,</span> <span class="n">param</span><span class="o">=</span><span class="kc">None</span><span class="p">,</span> <span class="o">**</span><span class="n">kwargs</span><span class="p">):</span>
|
||||
<span class="k">return</span> <span class="n">data</span></div></div>
|
||||
|
||||
|
||||
<div class="viewcode-block" id="ExponentialSmoothing"><a class="viewcode-back" href="../../../../pyFTS.common.transformations.html#pyFTS.common.transformations.smoothing.ExponentialSmoothing">[docs]</a><span class="k">class</span> <span class="nc">ExponentialSmoothing</span><span class="p">(</span><span class="n">Transformation</span><span class="p">):</span>
|
||||
<span class="k">def</span> <span class="fm">__init__</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="o">**</span><span class="n">kwargs</span><span class="p">):</span>
|
||||
<span class="nb">super</span><span class="p">(</span><span class="n">ExponentialSmoothing</span><span class="p">,</span><span class="bp">self</span><span class="p">)</span><span class="o">.</span><span class="fm">__init__</span><span class="p">(</span><span class="o">**</span><span class="n">kwargs</span><span class="p">)</span>
|
||||
<span class="bp">self</span><span class="o">.</span><span class="n">name</span> <span class="o">=</span> <span class="s1">'Exponential Moving Average Smoothing'</span>
|
||||
<span class="bp">self</span><span class="o">.</span><span class="n">steps</span> <span class="o">=</span> <span class="n">kwargs</span><span class="o">.</span><span class="n">get</span><span class="p">(</span><span class="s1">'steps'</span><span class="p">,</span><span class="mi">2</span><span class="p">)</span>
|
||||
<span class="bp">self</span><span class="o">.</span><span class="n">beta</span> <span class="o">=</span> <span class="n">kwargs</span><span class="o">.</span><span class="n">get</span><span class="p">(</span><span class="s1">'beta'</span><span class="p">,</span><span class="mf">.5</span><span class="p">)</span>
|
||||
|
||||
<div class="viewcode-block" id="ExponentialSmoothing.apply"><a class="viewcode-back" href="../../../../pyFTS.common.transformations.html#pyFTS.common.transformations.smoothing.ExponentialSmoothing.apply">[docs]</a> <span class="k">def</span> <span class="nf">apply</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">data</span><span class="p">,</span> <span class="n">param</span><span class="o">=</span><span class="kc">None</span><span class="p">,</span> <span class="o">**</span><span class="n">kwargs</span><span class="p">):</span>
|
||||
<span class="n">steps</span> <span class="o">=</span> <span class="n">param</span> <span class="k">if</span> <span class="n">param</span> <span class="ow">is</span> <span class="ow">not</span> <span class="kc">None</span> <span class="k">else</span> <span class="bp">self</span><span class="o">.</span><span class="n">steps</span>
|
||||
<span class="n">beta</span> <span class="o">=</span> <span class="n">kwargs</span><span class="o">.</span><span class="n">get</span><span class="p">(</span><span class="s1">'beta'</span><span class="p">,</span><span class="kc">None</span><span class="p">)</span>
|
||||
<span class="n">beta</span> <span class="o">=</span> <span class="n">beta</span> <span class="k">if</span> <span class="n">beta</span> <span class="ow">is</span> <span class="ow">not</span> <span class="kc">None</span> <span class="k">else</span> <span class="bp">self</span><span class="o">.</span><span class="n">beta</span>
|
||||
<span class="n">mm</span> <span class="o">=</span> <span class="p">[</span><span class="n">k</span> <span class="k">for</span> <span class="n">k</span> <span class="ow">in</span> <span class="n">data</span><span class="p">[:</span><span class="n">steps</span><span class="p">]]</span>
|
||||
<span class="k">for</span> <span class="n">i</span> <span class="ow">in</span> <span class="nb">range</span><span class="p">(</span><span class="n">steps</span><span class="p">,</span> <span class="nb">len</span><span class="p">(</span><span class="n">data</span><span class="p">)):</span>
|
||||
<span class="n">ret</span> <span class="o">=</span> <span class="mi">0</span>
|
||||
<span class="k">for</span> <span class="n">k</span> <span class="ow">in</span> <span class="n">np</span><span class="o">.</span><span class="n">arange</span><span class="p">(</span><span class="mi">0</span><span class="p">,</span><span class="n">steps</span><span class="p">):</span>
|
||||
<span class="n">ret</span> <span class="o">+=</span> <span class="p">(</span> <span class="n">beta</span> <span class="o">*</span> <span class="p">(</span><span class="mi">1</span> <span class="o">-</span> <span class="n">beta</span><span class="p">)</span> <span class="o">**</span> <span class="n">k</span> <span class="p">)</span> <span class="o">*</span> <span class="n">data</span><span class="p">[</span><span class="n">i</span> <span class="o">-</span> <span class="n">k</span><span class="p">]</span>
|
||||
<span class="n">mm</span><span class="o">.</span><span class="n">append</span><span class="p">(</span><span class="n">ret</span><span class="p">)</span>
|
||||
<span class="k">return</span> <span class="n">mm</span></div>
|
||||
|
||||
<div class="viewcode-block" id="ExponentialSmoothing.inverse"><a class="viewcode-back" href="../../../../pyFTS.common.transformations.html#pyFTS.common.transformations.smoothing.ExponentialSmoothing.inverse">[docs]</a> <span class="k">def</span> <span class="nf">inverse</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">data</span><span class="p">,</span> <span class="n">param</span><span class="o">=</span><span class="kc">None</span><span class="p">,</span> <span class="o">**</span><span class="n">kwargs</span><span class="p">):</span>
|
||||
<span class="k">return</span> <span class="n">data</span></div></div>
|
||||
|
||||
|
||||
<div class="viewcode-block" id="AveragePooling"><a class="viewcode-back" href="../../../../pyFTS.common.transformations.html#pyFTS.common.transformations.smoothing.AveragePooling">[docs]</a><span class="k">class</span> <span class="nc">AveragePooling</span><span class="p">(</span><span class="n">Transformation</span><span class="p">):</span>
|
||||
<span class="k">def</span> <span class="fm">__init__</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="o">**</span><span class="n">kwargs</span><span class="p">):</span>
|
||||
<span class="nb">super</span><span class="p">(</span><span class="n">AveragePooling</span><span class="p">,</span><span class="bp">self</span><span class="p">)</span><span class="o">.</span><span class="fm">__init__</span><span class="p">(</span><span class="o">**</span><span class="n">kwargs</span><span class="p">)</span>
|
||||
<span class="bp">self</span><span class="o">.</span><span class="n">name</span> <span class="o">=</span> <span class="s1">'Exponential Average Smoothing'</span>
|
||||
<span class="bp">self</span><span class="o">.</span><span class="n">kernel</span> <span class="o">=</span> <span class="n">kwargs</span><span class="o">.</span><span class="n">get</span><span class="p">(</span><span class="s1">'kernel'</span><span class="p">,</span><span class="mi">5</span><span class="p">)</span>
|
||||
<span class="bp">self</span><span class="o">.</span><span class="n">stride</span> <span class="o">=</span> <span class="n">kwargs</span><span class="o">.</span><span class="n">get</span><span class="p">(</span><span class="s1">'stride'</span><span class="p">,</span><span class="mi">1</span><span class="p">)</span>
|
||||
<span class="bp">self</span><span class="o">.</span><span class="n">padding</span> <span class="o">=</span> <span class="n">kwargs</span><span class="o">.</span><span class="n">get</span><span class="p">(</span><span class="s1">'padding'</span><span class="p">,</span><span class="s1">'same'</span><span class="p">)</span>
|
||||
|
||||
<div class="viewcode-block" id="AveragePooling.apply"><a class="viewcode-back" href="../../../../pyFTS.common.transformations.html#pyFTS.common.transformations.smoothing.AveragePooling.apply">[docs]</a> <span class="k">def</span> <span class="nf">apply</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">data</span><span class="p">):</span>
|
||||
<span class="n">result</span> <span class="o">=</span> <span class="p">[]</span>
|
||||
<span class="k">if</span> <span class="bp">self</span><span class="o">.</span><span class="n">padding</span> <span class="o">==</span> <span class="s1">'same'</span><span class="p">:</span>
|
||||
<span class="k">for</span> <span class="n">i</span> <span class="ow">in</span> <span class="nb">range</span><span class="p">(</span><span class="nb">int</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">kernel</span><span class="o">/</span><span class="mi">2</span><span class="p">),</span> <span class="nb">len</span><span class="p">(</span><span class="n">data</span><span class="p">)</span><span class="o">+</span><span class="nb">int</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">kernel</span><span class="o">/</span><span class="mi">2</span><span class="p">),</span> <span class="bp">self</span><span class="o">.</span><span class="n">stride</span><span class="p">):</span>
|
||||
<span class="n">result</span><span class="o">.</span><span class="n">append</span><span class="p">(</span><span class="n">np</span><span class="o">.</span><span class="n">mean</span><span class="p">(</span><span class="n">data</span><span class="p">[</span><span class="n">np</span><span class="o">.</span><span class="n">max</span><span class="p">([</span><span class="mi">0</span><span class="p">,</span><span class="n">i</span><span class="o">-</span><span class="bp">self</span><span class="o">.</span><span class="n">kernel</span><span class="p">]):</span><span class="n">np</span><span class="o">.</span><span class="n">min</span><span class="p">([</span><span class="n">i</span><span class="p">,</span> <span class="nb">len</span><span class="p">(</span><span class="n">data</span><span class="p">)])]))</span>
|
||||
|
||||
<span class="k">elif</span> <span class="bp">self</span><span class="o">.</span><span class="n">padding</span> <span class="o">==</span> <span class="s1">'valid'</span><span class="p">:</span>
|
||||
<span class="k">for</span> <span class="n">i</span> <span class="ow">in</span> <span class="nb">range</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">kernel</span><span class="p">,</span> <span class="nb">len</span><span class="p">(</span><span class="n">data</span><span class="p">),</span> <span class="bp">self</span><span class="o">.</span><span class="n">stride</span><span class="p">):</span>
|
||||
<span class="n">result</span><span class="o">.</span><span class="n">append</span><span class="p">(</span><span class="n">np</span><span class="o">.</span><span class="n">mean</span><span class="p">(</span><span class="n">data</span><span class="p">[</span><span class="n">i</span><span class="o">-</span><span class="bp">self</span><span class="o">.</span><span class="n">kernel</span><span class="p">:</span><span class="n">i</span><span class="p">]))</span>
|
||||
<span class="k">else</span><span class="p">:</span>
|
||||
<span class="k">raise</span> <span class="ne">ValueError</span><span class="p">(</span><span class="s1">'Invalid padding schema'</span><span class="p">)</span>
|
||||
<span class="k">return</span> <span class="n">result</span></div>
|
||||
|
||||
<div class="viewcode-block" id="AveragePooling.inverse"><a class="viewcode-back" href="../../../../pyFTS.common.transformations.html#pyFTS.common.transformations.smoothing.AveragePooling.inverse">[docs]</a> <span class="k">def</span> <span class="nf">inverse</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">data</span><span class="p">,</span> <span class="n">param</span><span class="o">=</span><span class="kc">None</span><span class="p">,</span> <span class="o">**</span><span class="n">kwargs</span><span class="p">):</span>
|
||||
<span class="k">return</span> <span class="n">data</span></div></div>
|
||||
|
||||
|
||||
<div class="viewcode-block" id="MaxPooling"><a class="viewcode-back" href="../../../../pyFTS.common.transformations.html#pyFTS.common.transformations.smoothing.MaxPooling">[docs]</a><span class="k">class</span> <span class="nc">MaxPooling</span><span class="p">(</span><span class="n">Transformation</span><span class="p">):</span>
|
||||
<span class="k">def</span> <span class="fm">__init__</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="o">**</span><span class="n">kwargs</span><span class="p">):</span>
|
||||
<span class="nb">super</span><span class="p">(</span><span class="n">MaxPooling</span><span class="p">,</span><span class="bp">self</span><span class="p">)</span><span class="o">.</span><span class="fm">__init__</span><span class="p">(</span><span class="o">**</span><span class="n">kwargs</span><span class="p">)</span>
|
||||
<span class="bp">self</span><span class="o">.</span><span class="n">name</span> <span class="o">=</span> <span class="s1">'Exponential Average Smoothing'</span>
|
||||
<span class="bp">self</span><span class="o">.</span><span class="n">kernel</span> <span class="o">=</span> <span class="n">kwargs</span><span class="o">.</span><span class="n">get</span><span class="p">(</span><span class="s1">'kernel'</span><span class="p">,</span><span class="mi">5</span><span class="p">)</span>
|
||||
<span class="bp">self</span><span class="o">.</span><span class="n">stride</span> <span class="o">=</span> <span class="n">kwargs</span><span class="o">.</span><span class="n">get</span><span class="p">(</span><span class="s1">'stride'</span><span class="p">,</span><span class="mi">1</span><span class="p">)</span>
|
||||
<span class="bp">self</span><span class="o">.</span><span class="n">padding</span> <span class="o">=</span> <span class="n">kwargs</span><span class="o">.</span><span class="n">get</span><span class="p">(</span><span class="s1">'padding'</span><span class="p">,</span><span class="s1">'same'</span><span class="p">)</span>
|
||||
|
||||
<div class="viewcode-block" id="MaxPooling.apply"><a class="viewcode-back" href="../../../../pyFTS.common.transformations.html#pyFTS.common.transformations.smoothing.MaxPooling.apply">[docs]</a> <span class="k">def</span> <span class="nf">apply</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">data</span><span class="p">):</span>
|
||||
<span class="n">result</span> <span class="o">=</span> <span class="p">[]</span>
|
||||
<span class="k">if</span> <span class="bp">self</span><span class="o">.</span><span class="n">padding</span> <span class="o">==</span> <span class="s1">'same'</span><span class="p">:</span>
|
||||
<span class="k">for</span> <span class="n">i</span> <span class="ow">in</span> <span class="nb">range</span><span class="p">(</span><span class="nb">int</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">kernel</span><span class="o">/</span><span class="mi">2</span><span class="p">),</span> <span class="nb">len</span><span class="p">(</span><span class="n">data</span><span class="p">)</span><span class="o">+</span><span class="nb">int</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">kernel</span><span class="o">/</span><span class="mi">2</span><span class="p">),</span> <span class="bp">self</span><span class="o">.</span><span class="n">stride</span><span class="p">):</span>
|
||||
<span class="n">result</span><span class="o">.</span><span class="n">append</span><span class="p">(</span><span class="n">np</span><span class="o">.</span><span class="n">max</span><span class="p">(</span><span class="n">data</span><span class="p">[</span><span class="n">np</span><span class="o">.</span><span class="n">max</span><span class="p">([</span><span class="mi">0</span><span class="p">,</span><span class="n">i</span><span class="o">-</span><span class="bp">self</span><span class="o">.</span><span class="n">kernel</span><span class="p">]):</span><span class="n">np</span><span class="o">.</span><span class="n">min</span><span class="p">([</span><span class="n">i</span><span class="p">,</span> <span class="nb">len</span><span class="p">(</span><span class="n">data</span><span class="p">)])]))</span>
|
||||
|
||||
<span class="k">elif</span> <span class="bp">self</span><span class="o">.</span><span class="n">padding</span> <span class="o">==</span> <span class="s1">'valid'</span><span class="p">:</span>
|
||||
<span class="k">for</span> <span class="n">i</span> <span class="ow">in</span> <span class="nb">range</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">kernel</span> <span class="o">-</span> <span class="mi">1</span><span class="p">,</span> <span class="nb">len</span><span class="p">(</span><span class="n">data</span><span class="p">),</span> <span class="bp">self</span><span class="o">.</span><span class="n">stride</span><span class="p">):</span>
|
||||
<span class="n">result</span><span class="o">.</span><span class="n">append</span><span class="p">(</span><span class="n">np</span><span class="o">.</span><span class="n">max</span><span class="p">(</span><span class="n">data</span><span class="p">[</span><span class="n">i</span><span class="o">-</span><span class="bp">self</span><span class="o">.</span><span class="n">kernel</span><span class="p">:</span><span class="n">i</span><span class="p">]))</span>
|
||||
<span class="k">else</span><span class="p">:</span>
|
||||
<span class="k">raise</span> <span class="ne">ValueError</span><span class="p">(</span><span class="s1">'Invalid padding schema'</span><span class="p">)</span>
|
||||
<span class="k">return</span> <span class="n">result</span></div>
|
||||
|
||||
<div class="viewcode-block" id="MaxPooling.inverse"><a class="viewcode-back" href="../../../../pyFTS.common.transformations.html#pyFTS.common.transformations.smoothing.MaxPooling.inverse">[docs]</a> <span class="k">def</span> <span class="nf">inverse</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">data</span><span class="p">,</span> <span class="n">param</span><span class="o">=</span><span class="kc">None</span><span class="p">,</span> <span class="o">**</span><span class="n">kwargs</span><span class="p">):</span>
|
||||
<span class="k">return</span> <span class="n">data</span></div></div>
|
||||
</pre></div>
|
||||
|
||||
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<h1>Source code for pyFTS.common.transformations.som</h1><div class="highlight"><pre>
|
||||
<span></span><span class="sd">"""</span>
|
||||
<span class="sd">Kohonen Self Organizing Maps for Fuzzy Time Series</span>
|
||||
<span class="sd">"""</span>
|
||||
<span class="kn">import</span> <span class="nn">pandas</span> <span class="k">as</span> <span class="nn">pd</span>
|
||||
<span class="c1">#from pyFTS.models.multivariate import wmvfts</span>
|
||||
<span class="kn">from</span> <span class="nn">typing</span> <span class="kn">import</span> <span class="n">Tuple</span>
|
||||
<span class="kn">from</span> <span class="nn">typing</span> <span class="kn">import</span> <span class="n">List</span>
|
||||
<span class="kn">from</span> <span class="nn">pyFTS.common.transformations.transformation</span> <span class="kn">import</span> <span class="n">Transformation</span>
|
||||
|
||||
|
||||
<div class="viewcode-block" id="SOMTransformation"><a class="viewcode-back" href="../../../../pyFTS.common.transformations.html#pyFTS.common.transformations.som.SOMTransformation">[docs]</a><span class="k">class</span> <span class="nc">SOMTransformation</span><span class="p">(</span><span class="n">Transformation</span><span class="p">):</span>
|
||||
|
||||
<span class="k">def</span> <span class="fm">__init__</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span>
|
||||
<span class="n">grid_dimension</span><span class="p">:</span> <span class="n">Tuple</span><span class="p">,</span>
|
||||
<span class="o">**</span><span class="n">kwargs</span><span class="p">):</span>
|
||||
|
||||
<span class="kn">import</span> <span class="nn">SimpSOM</span> <span class="k">as</span> <span class="nn">sps</span>
|
||||
|
||||
<span class="c1"># SOM attributes</span>
|
||||
<span class="bp">self</span><span class="o">.</span><span class="n">load_file</span> <span class="o">=</span> <span class="n">kwargs</span><span class="o">.</span><span class="n">get</span><span class="p">(</span><span class="s1">'loadFile'</span><span class="p">)</span>
|
||||
<span class="bp">self</span><span class="o">.</span><span class="n">net</span><span class="p">:</span> <span class="n">sps</span><span class="o">.</span><span class="n">somNet</span> <span class="o">=</span> <span class="kc">None</span>
|
||||
<span class="bp">self</span><span class="o">.</span><span class="n">data</span><span class="p">:</span> <span class="n">pd</span><span class="o">.</span><span class="n">DataFrame</span> <span class="o">=</span> <span class="kc">None</span>
|
||||
<span class="bp">self</span><span class="o">.</span><span class="n">grid_dimension</span><span class="p">:</span> <span class="n">Tuple</span> <span class="o">=</span> <span class="n">grid_dimension</span>
|
||||
<span class="bp">self</span><span class="o">.</span><span class="n">pbc</span> <span class="o">=</span> <span class="n">kwargs</span><span class="o">.</span><span class="n">get</span><span class="p">(</span><span class="s1">'PBC'</span><span class="p">,</span> <span class="kc">True</span><span class="p">)</span>
|
||||
<span class="bp">self</span><span class="o">.</span><span class="n">is_multivariate</span> <span class="o">=</span> <span class="kc">True</span>
|
||||
|
||||
<span class="c1"># debug attributes</span>
|
||||
<span class="bp">self</span><span class="o">.</span><span class="n">name</span> <span class="o">=</span> <span class="s1">'Kohonen Self Organizing Maps FTS'</span>
|
||||
<span class="bp">self</span><span class="o">.</span><span class="n">shortname</span> <span class="o">=</span> <span class="s1">'SOM-FTS'</span>
|
||||
|
||||
<div class="viewcode-block" id="SOMTransformation.apply"><a class="viewcode-back" href="../../../../pyFTS.common.transformations.html#pyFTS.common.transformations.som.SOMTransformation.apply">[docs]</a> <span class="k">def</span> <span class="nf">apply</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span>
|
||||
<span class="n">data</span><span class="p">:</span> <span class="n">pd</span><span class="o">.</span><span class="n">DataFrame</span><span class="p">,</span>
|
||||
<span class="n">param</span><span class="o">=</span><span class="kc">None</span><span class="p">,</span>
|
||||
<span class="o">**</span><span class="n">kwargs</span><span class="p">):</span>
|
||||
<span class="w"> </span><span class="sd">"""</span>
|
||||
<span class="sd"> Transform a M-dimensional dataset into a 3-dimensional dataset, where one dimension is the endogen variable</span>
|
||||
<span class="sd"> If endogen_variable = None, the last column will be the endogen_variable.</span>
|
||||
|
||||
<span class="sd"> Args:</span>
|
||||
<span class="sd"> data (pd.DataFrame): M-Dimensional dataset</span>
|
||||
<span class="sd"> endogen_variable (str): column of dataset</span>
|
||||
<span class="sd"> names (Tuple): names for new columns created by SOM Transformation.</span>
|
||||
<span class="sd"> param:</span>
|
||||
<span class="sd"> **kwargs: params of SOM's train process</span>
|
||||
<span class="sd"> percentage_train (float). Percentage of dataset that will be used for train SOM network. default: 0.7</span>
|
||||
<span class="sd"> leaning_rate (float): leaning rate of SOM network. default: 0.01</span>
|
||||
<span class="sd"> epochs: epochs of SOM network. default: 10000</span>
|
||||
<span class="sd"> </span>
|
||||
<span class="sd"> Returns:</span>
|
||||
|
||||
<span class="sd"> """</span>
|
||||
|
||||
<span class="n">endogen_variable</span> <span class="o">=</span> <span class="n">kwargs</span><span class="o">.</span><span class="n">get</span><span class="p">(</span><span class="s1">'endogen_variable'</span><span class="p">,</span> <span class="kc">None</span><span class="p">)</span>
|
||||
<span class="n">names</span> <span class="o">=</span> <span class="n">kwargs</span><span class="o">.</span><span class="n">get</span><span class="p">(</span><span class="s1">'names'</span><span class="p">,</span> <span class="p">(</span><span class="s1">'x'</span><span class="p">,</span> <span class="s1">'y'</span><span class="p">))</span>
|
||||
|
||||
<span class="k">if</span> <span class="n">endogen_variable</span> <span class="ow">not</span> <span class="ow">in</span> <span class="n">data</span><span class="o">.</span><span class="n">columns</span><span class="p">:</span>
|
||||
<span class="n">endogen_variable</span> <span class="o">=</span> <span class="kc">None</span>
|
||||
<span class="n">cols</span> <span class="o">=</span> <span class="n">data</span><span class="o">.</span><span class="n">columns</span><span class="p">[:</span><span class="o">-</span><span class="mi">1</span><span class="p">]</span> <span class="k">if</span> <span class="n">endogen_variable</span> <span class="ow">is</span> <span class="kc">None</span> <span class="k">else</span> <span class="p">[</span><span class="n">col</span> <span class="k">for</span> <span class="n">col</span> <span class="ow">in</span> <span class="n">data</span><span class="o">.</span><span class="n">columns</span> <span class="k">if</span>
|
||||
<span class="n">col</span> <span class="o">!=</span> <span class="n">endogen_variable</span><span class="p">]</span>
|
||||
<span class="k">if</span> <span class="bp">self</span><span class="o">.</span><span class="n">net</span> <span class="ow">is</span> <span class="kc">None</span><span class="p">:</span>
|
||||
<span class="n">train</span> <span class="o">=</span> <span class="n">data</span><span class="p">[</span><span class="n">cols</span><span class="p">]</span>
|
||||
<span class="bp">self</span><span class="o">.</span><span class="n">train</span><span class="p">(</span><span class="n">data</span><span class="o">=</span><span class="n">train</span><span class="p">,</span> <span class="o">**</span><span class="n">kwargs</span><span class="p">)</span>
|
||||
<span class="n">new_data</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">net</span><span class="o">.</span><span class="n">project</span><span class="p">(</span><span class="n">data</span><span class="p">[</span><span class="n">cols</span><span class="p">]</span><span class="o">.</span><span class="n">values</span><span class="p">)</span>
|
||||
<span class="n">new_data</span> <span class="o">=</span> <span class="n">pd</span><span class="o">.</span><span class="n">DataFrame</span><span class="p">(</span><span class="n">new_data</span><span class="p">,</span> <span class="n">columns</span><span class="o">=</span><span class="n">names</span><span class="p">)</span>
|
||||
<span class="n">endogen</span> <span class="o">=</span> <span class="n">endogen_variable</span> <span class="k">if</span> <span class="n">endogen_variable</span> <span class="ow">is</span> <span class="ow">not</span> <span class="kc">None</span> <span class="k">else</span> <span class="n">data</span><span class="o">.</span><span class="n">columns</span><span class="p">[</span><span class="o">-</span><span class="mi">1</span><span class="p">]</span>
|
||||
<span class="n">new_data</span><span class="p">[</span><span class="n">endogen</span><span class="p">]</span> <span class="o">=</span> <span class="n">data</span><span class="p">[</span><span class="n">endogen</span><span class="p">]</span><span class="o">.</span><span class="n">values</span>
|
||||
<span class="k">return</span> <span class="n">new_data</span></div>
|
||||
|
||||
<span class="k">def</span> <span class="fm">__repr__</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
|
||||
<span class="n">status</span> <span class="o">=</span> <span class="s2">"is trained"</span> <span class="k">if</span> <span class="bp">self</span><span class="o">.</span><span class="n">net</span> <span class="ow">is</span> <span class="ow">not</span> <span class="kc">None</span> <span class="k">else</span> <span class="s2">"not trained"</span>
|
||||
<span class="k">return</span> <span class="sa">f</span><span class="s1">'</span><span class="si">{</span><span class="bp">self</span><span class="o">.</span><span class="n">name</span><span class="si">}</span><span class="s1">-</span><span class="si">{</span><span class="n">status</span><span class="si">}</span><span class="s1">'</span>
|
||||
|
||||
<span class="k">def</span> <span class="fm">__str__</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
|
||||
<span class="k">return</span> <span class="bp">self</span><span class="o">.</span><span class="n">name</span>
|
||||
|
||||
<span class="k">def</span> <span class="fm">__del__</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
|
||||
<span class="k">del</span> <span class="bp">self</span><span class="o">.</span><span class="n">net</span>
|
||||
|
||||
<div class="viewcode-block" id="SOMTransformation.train"><a class="viewcode-back" href="../../../../pyFTS.common.transformations.html#pyFTS.common.transformations.som.SOMTransformation.train">[docs]</a> <span class="k">def</span> <span class="nf">train</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span>
|
||||
<span class="n">data</span><span class="p">:</span> <span class="n">pd</span><span class="o">.</span><span class="n">DataFrame</span><span class="p">,</span>
|
||||
<span class="n">percentage_train</span><span class="p">:</span> <span class="nb">float</span> <span class="o">=</span> <span class="mf">.7</span><span class="p">,</span>
|
||||
<span class="n">leaning_rate</span><span class="p">:</span> <span class="nb">float</span> <span class="o">=</span> <span class="mf">0.01</span><span class="p">,</span>
|
||||
<span class="n">epochs</span><span class="p">:</span> <span class="nb">int</span> <span class="o">=</span> <span class="mi">10000</span><span class="p">):</span>
|
||||
<span class="n">data</span> <span class="o">=</span> <span class="n">data</span><span class="o">.</span><span class="n">dropna</span><span class="p">()</span>
|
||||
<span class="bp">self</span><span class="o">.</span><span class="n">data</span> <span class="o">=</span> <span class="n">data</span><span class="o">.</span><span class="n">values</span>
|
||||
<span class="n">limit</span> <span class="o">=</span> <span class="nb">round</span><span class="p">(</span><span class="nb">len</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">data</span><span class="p">)</span> <span class="o">*</span> <span class="n">percentage_train</span><span class="p">)</span>
|
||||
<span class="n">train</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">data</span><span class="p">[:</span><span class="n">limit</span><span class="p">]</span>
|
||||
<span class="n">x</span><span class="p">,</span> <span class="n">y</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">grid_dimension</span>
|
||||
<span class="bp">self</span><span class="o">.</span><span class="n">net</span> <span class="o">=</span> <span class="n">sps</span><span class="o">.</span><span class="n">somNet</span><span class="p">(</span><span class="n">x</span><span class="p">,</span> <span class="n">y</span><span class="p">,</span> <span class="n">train</span><span class="p">,</span> <span class="n">PBC</span><span class="o">=</span><span class="bp">self</span><span class="o">.</span><span class="n">pbc</span><span class="p">,</span>
|
||||
<span class="n">loadFile</span><span class="o">=</span><span class="bp">self</span><span class="o">.</span><span class="n">load_file</span><span class="p">)</span>
|
||||
<span class="bp">self</span><span class="o">.</span><span class="n">net</span><span class="o">.</span><span class="n">train</span><span class="p">(</span><span class="n">startLearnRate</span><span class="o">=</span><span class="n">leaning_rate</span><span class="p">,</span>
|
||||
<span class="n">epochs</span><span class="o">=</span><span class="n">epochs</span><span class="p">)</span></div>
|
||||
|
||||
<div class="viewcode-block" id="SOMTransformation.save_net"><a class="viewcode-back" href="../../../../pyFTS.common.transformations.html#pyFTS.common.transformations.som.SOMTransformation.save_net">[docs]</a> <span class="k">def</span> <span class="nf">save_net</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span>
|
||||
<span class="n">filename</span><span class="p">:</span> <span class="nb">str</span> <span class="o">=</span> <span class="s2">"SomNet trained"</span><span class="p">):</span>
|
||||
<span class="bp">self</span><span class="o">.</span><span class="n">net</span><span class="o">.</span><span class="n">save</span><span class="p">(</span><span class="n">filename</span><span class="p">)</span>
|
||||
<span class="bp">self</span><span class="o">.</span><span class="n">load_file</span> <span class="o">=</span> <span class="n">filename</span></div>
|
||||
|
||||
<div class="viewcode-block" id="SOMTransformation.show_grid"><a class="viewcode-back" href="../../../../pyFTS.common.transformations.html#pyFTS.common.transformations.som.SOMTransformation.show_grid">[docs]</a> <span class="k">def</span> <span class="nf">show_grid</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span>
|
||||
<span class="n">graph_type</span><span class="p">:</span> <span class="nb">str</span> <span class="o">=</span> <span class="s1">'nodes_graph'</span><span class="p">,</span>
|
||||
<span class="o">**</span><span class="n">kwargs</span><span class="p">):</span>
|
||||
<span class="k">if</span> <span class="n">graph_type</span> <span class="o">==</span> <span class="s1">'nodes_graph'</span><span class="p">:</span>
|
||||
<span class="n">colnum</span> <span class="o">=</span> <span class="n">kwargs</span><span class="o">.</span><span class="n">get</span><span class="p">(</span><span class="s1">'colnum'</span><span class="p">,</span> <span class="mi">0</span><span class="p">)</span>
|
||||
<span class="bp">self</span><span class="o">.</span><span class="n">net</span><span class="o">.</span><span class="n">nodes_graph</span><span class="p">(</span><span class="n">colnum</span><span class="o">=</span><span class="n">colnum</span><span class="p">)</span>
|
||||
<span class="k">else</span><span class="p">:</span>
|
||||
<span class="bp">self</span><span class="o">.</span><span class="n">net</span><span class="o">.</span><span class="n">diff_graph</span><span class="p">()</span></div></div>
|
||||
</pre></div>
|
||||
|
||||
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|
||||
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|
||||
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|
||||
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
||||
123
docs/build/html/_modules/pyFTS/common/transformations/transformation.html
vendored
Normal file
123
docs/build/html/_modules/pyFTS/common/transformations/transformation.html
vendored
Normal file
@ -0,0 +1,123 @@
|
||||
|
||||
|
||||
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|
||||
|
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|
||||
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|
||||
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|
||||
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|
||||
<title>pyFTS.common.transformations.transformation — pyFTS 1.7 documentation</title>
|
||||
<link rel="stylesheet" type="text/css" href="../../../../_static/pygments.css" />
|
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|
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|
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|
||||
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|
||||
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|
||||
|
||||
<h1>Source code for pyFTS.common.transformations.transformation</h1><div class="highlight"><pre>
|
||||
<span></span>
|
||||
<div class="viewcode-block" id="Transformation"><a class="viewcode-back" href="../../../../pyFTS.common.transformations.html#pyFTS.common.transformations.transformation.Transformation">[docs]</a><span class="k">class</span> <span class="nc">Transformation</span><span class="p">(</span><span class="nb">object</span><span class="p">):</span>
|
||||
<span class="w"> </span><span class="sd">"""</span>
|
||||
<span class="sd"> Data transformation used on pre and post processing of the FTS</span>
|
||||
<span class="sd"> """</span>
|
||||
|
||||
<span class="k">def</span> <span class="fm">__init__</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="o">**</span><span class="n">kwargs</span><span class="p">):</span>
|
||||
<span class="bp">self</span><span class="o">.</span><span class="n">is_invertible</span> <span class="o">=</span> <span class="kc">True</span>
|
||||
<span class="bp">self</span><span class="o">.</span><span class="n">is_multivariate</span> <span class="o">=</span> <span class="kc">False</span>
|
||||
<span class="w"> </span><span class="sd">"""detemine if this transformation can be applied to multivariate data"""</span>
|
||||
<span class="bp">self</span><span class="o">.</span><span class="n">minimal_length</span> <span class="o">=</span> <span class="mi">1</span>
|
||||
<span class="bp">self</span><span class="o">.</span><span class="n">name</span> <span class="o">=</span> <span class="s1">''</span>
|
||||
|
||||
<div class="viewcode-block" id="Transformation.apply"><a class="viewcode-back" href="../../../../pyFTS.common.transformations.html#pyFTS.common.transformations.transformation.Transformation.apply">[docs]</a> <span class="k">def</span> <span class="nf">apply</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">data</span><span class="p">,</span> <span class="n">param</span><span class="p">,</span> <span class="o">**</span><span class="n">kwargs</span><span class="p">):</span>
|
||||
<span class="w"> </span><span class="sd">"""</span>
|
||||
<span class="sd"> Apply the transformation on input data</span>
|
||||
|
||||
<span class="sd"> :param data: input data</span>
|
||||
<span class="sd"> :param param:</span>
|
||||
<span class="sd"> :param kwargs:</span>
|
||||
<span class="sd"> :return: numpy array with transformed data</span>
|
||||
<span class="sd"> """</span>
|
||||
<span class="k">pass</span></div>
|
||||
|
||||
<div class="viewcode-block" id="Transformation.inverse"><a class="viewcode-back" href="../../../../pyFTS.common.transformations.html#pyFTS.common.transformations.transformation.Transformation.inverse">[docs]</a> <span class="k">def</span> <span class="nf">inverse</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span><span class="n">data</span><span class="p">,</span> <span class="n">param</span><span class="p">,</span> <span class="o">**</span><span class="n">kwargs</span><span class="p">):</span>
|
||||
<span class="w"> </span><span class="sd">"""</span>
|
||||
|
||||
<span class="sd"> :param data: transformed data</span>
|
||||
<span class="sd"> :param param:</span>
|
||||
<span class="sd"> :param kwargs:</span>
|
||||
<span class="sd"> :return: numpy array with inverse transformed data</span>
|
||||
<span class="sd"> """</span>
|
||||
<span class="k">pass</span></div>
|
||||
|
||||
<span class="k">def</span> <span class="fm">__str__</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
|
||||
<span class="k">return</span> <span class="bp">self</span><span class="o">.</span><span class="n">name</span></div>
|
||||
</pre></div>
|
||||
|
||||
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|
||||
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|
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|
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>modules</a> |</li>
|
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<li class="nav-item nav-item-0"><a href="../../../../index.html">pyFTS 1.7 documentation</a> »</li>
|
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<li class="nav-item nav-item-1"><a href="../../../index.html" >Module code</a> »</li>
|
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<li class="nav-item nav-item-this"><a href="">pyFTS.common.transformations.transformation</a></li>
|
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|
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|
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© Copyright 2022, Machine Intelligence and Data Science Laboratory - UFMG - Brazil.
|
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Created using <a href="https://www.sphinx-doc.org/">Sphinx</a> 4.3.2.
|
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|
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|
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|
||||
174
docs/build/html/_modules/pyFTS/common/transformations/trend.html
vendored
Normal file
174
docs/build/html/_modules/pyFTS/common/transformations/trend.html
vendored
Normal file
@ -0,0 +1,174 @@
|
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|
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|
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<!doctype html>
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|
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|
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|
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|
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>modules</a> |</li>
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|
||||
<h1>Source code for pyFTS.common.transformations.trend</h1><div class="highlight"><pre>
|
||||
<span></span><span class="kn">from</span> <span class="nn">pyFTS.common.transformations.transformation</span> <span class="k">import</span> <span class="n">Transformation</span>
|
||||
<span class="kn">from</span> <span class="nn">pandas</span> <span class="k">import</span> <span class="n">datetime</span>
|
||||
<span class="kn">from</span> <span class="nn">sklearn.linear_model</span> <span class="k">import</span> <span class="n">LinearRegression</span>
|
||||
<span class="kn">import</span> <span class="nn">numpy</span> <span class="k">as</span> <span class="nn">np</span>
|
||||
<span class="kn">import</span> <span class="nn">pandas</span> <span class="k">as</span> <span class="nn">pd</span>
|
||||
|
||||
|
||||
<div class="viewcode-block" id="LinearTrend"><a class="viewcode-back" href="../../../../pyFTS.common.transformations.html#pyFTS.common.transformations.trend.LinearTrend">[docs]</a><span class="k">class</span> <span class="nc">LinearTrend</span><span class="p">(</span><span class="n">Transformation</span><span class="p">):</span>
|
||||
<span class="sd">"""</span>
|
||||
<span class="sd"> Linear Trend. Estimate</span>
|
||||
|
||||
<span class="sd"> y'(t) = y(t) - (a*t+b)</span>
|
||||
<span class="sd"> y(t) = y'(t) + (a*t+b)</span>
|
||||
<span class="sd"> """</span>
|
||||
<span class="k">def</span> <span class="nf">__init__</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="o">**</span><span class="n">kwargs</span><span class="p">):</span>
|
||||
<span class="nb">super</span><span class="p">(</span><span class="n">LinearTrend</span><span class="p">,</span> <span class="bp">self</span><span class="p">)</span><span class="o">.</span><span class="fm">__init__</span><span class="p">()</span>
|
||||
<span class="bp">self</span><span class="o">.</span><span class="n">name</span> <span class="o">=</span> <span class="s1">'LinearTrend'</span>
|
||||
<span class="bp">self</span><span class="o">.</span><span class="n">index_type</span> <span class="o">=</span> <span class="n">kwargs</span><span class="o">.</span><span class="n">get</span><span class="p">(</span><span class="s1">'index_type'</span><span class="p">,</span><span class="s1">'linear'</span><span class="p">)</span>
|
||||
<span class="sd">'''The type of the time index used to train the regression coefficients. Available types are: field, datetime'''</span>
|
||||
<span class="bp">self</span><span class="o">.</span><span class="n">index_field</span> <span class="o">=</span> <span class="n">kwargs</span><span class="o">.</span><span class="n">get</span><span class="p">(</span><span class="s1">'index_field'</span><span class="p">,</span> <span class="kc">None</span><span class="p">)</span>
|
||||
<span class="sd">'''The Pandas Dataframe column to use as index'''</span>
|
||||
<span class="bp">self</span><span class="o">.</span><span class="n">data_field</span> <span class="o">=</span> <span class="n">kwargs</span><span class="o">.</span><span class="n">get</span><span class="p">(</span><span class="s1">'data_field'</span><span class="p">,</span> <span class="kc">None</span><span class="p">)</span>
|
||||
<span class="sd">'''The Pandas Dataframe column to use as data'''</span>
|
||||
<span class="bp">self</span><span class="o">.</span><span class="n">datetime_mask</span> <span class="o">=</span> <span class="n">kwargs</span><span class="o">.</span><span class="n">get</span><span class="p">(</span><span class="s1">'datetime_mask'</span><span class="p">,</span> <span class="kc">None</span><span class="p">)</span>
|
||||
<span class="sd">'''The Pandas Dataframe mask for datetime indexes '''</span>
|
||||
|
||||
<span class="bp">self</span><span class="o">.</span><span class="n">model</span> <span class="o">=</span> <span class="kc">None</span>
|
||||
<span class="sd">'''Regression model'''</span>
|
||||
|
||||
<div class="viewcode-block" id="LinearTrend.train"><a class="viewcode-back" href="../../../../pyFTS.common.transformations.html#pyFTS.common.transformations.trend.LinearTrend.train">[docs]</a> <span class="k">def</span> <span class="nf">train</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">data</span><span class="p">,</span> <span class="o">**</span><span class="n">kwargs</span><span class="p">):</span>
|
||||
|
||||
<span class="n">x</span> <span class="o">=</span> <span class="n">data</span><span class="p">[</span><span class="bp">self</span><span class="o">.</span><span class="n">index_field</span><span class="p">]</span><span class="o">.</span><span class="n">values</span>
|
||||
|
||||
<span class="k">if</span> <span class="bp">self</span><span class="o">.</span><span class="n">index_type</span> <span class="o">==</span> <span class="s1">'datetime'</span><span class="p">:</span>
|
||||
<span class="n">x</span> <span class="o">=</span> <span class="n">pd</span><span class="o">.</span><span class="n">to_numeric</span><span class="p">(</span><span class="n">x</span><span class="p">,</span> <span class="n">downcast</span><span class="o">=</span><span class="s1">'integer'</span><span class="p">)</span>
|
||||
|
||||
<span class="n">indexes</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">reshape</span><span class="p">(</span><span class="n">x</span><span class="p">,</span> <span class="p">(</span><span class="nb">len</span><span class="p">(</span><span class="n">x</span><span class="p">),</span> <span class="mi">1</span><span class="p">))</span>
|
||||
<span class="n">values</span> <span class="o">=</span> <span class="n">data</span><span class="p">[</span><span class="bp">self</span><span class="o">.</span><span class="n">data_field</span><span class="p">]</span><span class="o">.</span><span class="n">values</span>
|
||||
<span class="bp">self</span><span class="o">.</span><span class="n">model</span> <span class="o">=</span> <span class="n">LinearRegression</span><span class="p">()</span>
|
||||
<span class="bp">self</span><span class="o">.</span><span class="n">model</span><span class="o">.</span><span class="n">fit</span><span class="p">(</span><span class="n">indexes</span><span class="p">,</span> <span class="n">values</span><span class="p">)</span></div>
|
||||
|
||||
<div class="viewcode-block" id="LinearTrend.trend"><a class="viewcode-back" href="../../../../pyFTS.common.transformations.html#pyFTS.common.transformations.trend.LinearTrend.trend">[docs]</a> <span class="k">def</span> <span class="nf">trend</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">data</span><span class="p">):</span>
|
||||
<span class="n">x</span> <span class="o">=</span> <span class="n">data</span><span class="p">[</span><span class="bp">self</span><span class="o">.</span><span class="n">index_field</span><span class="p">]</span><span class="o">.</span><span class="n">values</span>
|
||||
<span class="k">if</span> <span class="bp">self</span><span class="o">.</span><span class="n">index_type</span> <span class="o">==</span> <span class="s1">'datetime'</span><span class="p">:</span>
|
||||
<span class="n">x</span> <span class="o">=</span> <span class="n">pd</span><span class="o">.</span><span class="n">to_numeric</span><span class="p">(</span><span class="n">x</span><span class="p">,</span> <span class="n">downcast</span><span class="o">=</span><span class="s1">'integer'</span><span class="p">)</span>
|
||||
<span class="n">indexes</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">reshape</span><span class="p">(</span><span class="n">x</span><span class="p">,</span> <span class="p">(</span><span class="nb">len</span><span class="p">(</span><span class="n">x</span><span class="p">),</span> <span class="mi">1</span><span class="p">))</span>
|
||||
<span class="n">_trend</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">model</span><span class="o">.</span><span class="n">predict</span><span class="p">(</span><span class="n">indexes</span><span class="p">)</span>
|
||||
<span class="k">return</span> <span class="n">_trend</span></div>
|
||||
|
||||
<div class="viewcode-block" id="LinearTrend.apply"><a class="viewcode-back" href="../../../../pyFTS.common.transformations.html#pyFTS.common.transformations.trend.LinearTrend.apply">[docs]</a> <span class="k">def</span> <span class="nf">apply</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">data</span><span class="p">,</span> <span class="n">param</span><span class="o">=</span><span class="kc">None</span><span class="p">,</span> <span class="o">**</span><span class="n">kwargs</span><span class="p">):</span>
|
||||
<span class="n">values</span> <span class="o">=</span> <span class="n">data</span><span class="p">[</span><span class="bp">self</span><span class="o">.</span><span class="n">data_field</span><span class="p">]</span><span class="o">.</span><span class="n">values</span>
|
||||
<span class="n">_trend</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">trend</span><span class="p">(</span><span class="n">data</span><span class="p">)</span>
|
||||
<span class="n">modified</span> <span class="o">=</span> <span class="n">values</span> <span class="o">-</span> <span class="n">_trend</span>
|
||||
<span class="k">return</span> <span class="n">modified</span></div>
|
||||
|
||||
<div class="viewcode-block" id="LinearTrend.inverse"><a class="viewcode-back" href="../../../../pyFTS.common.transformations.html#pyFTS.common.transformations.trend.LinearTrend.inverse">[docs]</a> <span class="k">def</span> <span class="nf">inverse</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">data</span><span class="p">,</span> <span class="n">param</span><span class="o">=</span><span class="kc">None</span><span class="p">,</span> <span class="o">**</span><span class="n">kwargs</span><span class="p">):</span>
|
||||
<span class="n">x</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">generate_indexes</span><span class="p">(</span><span class="n">data</span><span class="p">,</span> <span class="n">param</span><span class="p">[</span><span class="bp">self</span><span class="o">.</span><span class="n">index_field</span><span class="p">]</span><span class="o">.</span><span class="n">values</span><span class="p">[</span><span class="mi">0</span><span class="p">],</span> <span class="o">**</span><span class="n">kwargs</span><span class="p">)</span>
|
||||
<span class="n">indexes</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">reshape</span><span class="p">(</span><span class="n">x</span><span class="p">,</span> <span class="p">(</span><span class="nb">len</span><span class="p">(</span><span class="n">x</span><span class="p">),</span> <span class="mi">1</span><span class="p">))</span>
|
||||
<span class="n">_trend</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">model</span><span class="o">.</span><span class="n">predict</span><span class="p">(</span><span class="n">indexes</span><span class="p">)</span>
|
||||
<span class="n">modified</span> <span class="o">=</span> <span class="n">data</span> <span class="o">+</span> <span class="n">_trend</span>
|
||||
<span class="k">return</span> <span class="n">modified</span></div>
|
||||
|
||||
<div class="viewcode-block" id="LinearTrend.increment"><a class="viewcode-back" href="../../../../pyFTS.common.transformations.html#pyFTS.common.transformations.trend.LinearTrend.increment">[docs]</a> <span class="k">def</span> <span class="nf">increment</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span><span class="n">value</span><span class="p">,</span> <span class="o">**</span><span class="n">kwargs</span><span class="p">):</span>
|
||||
<span class="k">if</span> <span class="bp">self</span><span class="o">.</span><span class="n">index_type</span> <span class="o">==</span> <span class="s1">'linear'</span><span class="p">:</span>
|
||||
<span class="k">return</span> <span class="n">value</span> <span class="o">+</span> <span class="mi">1</span>
|
||||
<span class="k">elif</span> <span class="bp">self</span><span class="o">.</span><span class="n">index_type</span> <span class="o">==</span> <span class="s1">'datetime'</span><span class="p">:</span>
|
||||
<span class="k">if</span> <span class="s1">'date_offset'</span> <span class="ow">not</span> <span class="ow">in</span> <span class="n">kwargs</span><span class="p">:</span>
|
||||
<span class="k">raise</span> <span class="ne">Exception</span><span class="p">(</span><span class="s1">'A pandas.DateOffset must be passed in the parameter ''date_offset'''</span><span class="p">)</span>
|
||||
<span class="n">doff</span> <span class="o">=</span> <span class="n">kwargs</span><span class="o">.</span><span class="n">get</span><span class="p">(</span><span class="s1">'date_offset'</span><span class="p">)</span>
|
||||
<span class="k">return</span> <span class="n">value</span> <span class="o">+</span> <span class="n">doff</span></div>
|
||||
|
||||
<div class="viewcode-block" id="LinearTrend.generate_indexes"><a class="viewcode-back" href="../../../../pyFTS.common.transformations.html#pyFTS.common.transformations.trend.LinearTrend.generate_indexes">[docs]</a> <span class="k">def</span> <span class="nf">generate_indexes</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">data</span><span class="p">,</span> <span class="n">value</span><span class="p">,</span> <span class="o">**</span><span class="n">kwargs</span><span class="p">):</span>
|
||||
<span class="k">if</span> <span class="bp">self</span><span class="o">.</span><span class="n">index_type</span> <span class="o">==</span> <span class="s1">'datetime'</span><span class="p">:</span>
|
||||
<span class="n">ret</span> <span class="o">=</span> <span class="p">[</span><span class="bp">self</span><span class="o">.</span><span class="n">increment</span><span class="p">(</span><span class="n">pd</span><span class="o">.</span><span class="n">to_datetime</span><span class="p">(</span><span class="n">value</span><span class="p">,</span> <span class="nb">format</span><span class="o">=</span><span class="bp">self</span><span class="o">.</span><span class="n">datetime_mask</span><span class="p">),</span> <span class="o">**</span><span class="n">kwargs</span><span class="p">)]</span>
|
||||
<span class="k">else</span><span class="p">:</span>
|
||||
<span class="n">ret</span> <span class="o">=</span> <span class="p">[</span><span class="bp">self</span><span class="o">.</span><span class="n">increment</span><span class="p">(</span><span class="n">value</span><span class="p">,</span> <span class="o">**</span><span class="n">kwargs</span><span class="p">)]</span>
|
||||
<span class="k">for</span> <span class="n">i</span> <span class="ow">in</span> <span class="n">np</span><span class="o">.</span><span class="n">arange</span><span class="p">(</span><span class="mi">1</span><span class="p">,</span><span class="nb">len</span><span class="p">(</span><span class="n">data</span><span class="p">)):</span>
|
||||
<span class="n">ret</span><span class="o">.</span><span class="n">append</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">increment</span><span class="p">(</span><span class="n">ret</span><span class="p">[</span><span class="o">-</span><span class="mi">1</span><span class="p">],</span> <span class="o">**</span><span class="n">kwargs</span><span class="p">))</span>
|
||||
|
||||
<span class="k">if</span> <span class="bp">self</span><span class="o">.</span><span class="n">index_type</span> <span class="o">==</span> <span class="s1">'datetime'</span><span class="p">:</span>
|
||||
<span class="n">ret</span> <span class="o">=</span> <span class="n">pd</span><span class="o">.</span><span class="n">Series</span><span class="p">(</span><span class="n">ret</span><span class="p">)</span>
|
||||
<span class="n">ret</span> <span class="o">=</span> <span class="n">pd</span><span class="o">.</span><span class="n">to_numeric</span><span class="p">(</span><span class="n">ret</span><span class="p">,</span> <span class="n">downcast</span><span class="o">=</span><span class="s1">'integer'</span><span class="p">)</span>
|
||||
|
||||
<span class="k">return</span> <span class="n">np</span><span class="o">.</span><span class="n">array</span><span class="p">(</span><span class="n">ret</span><span class="p">)</span></div></div>
|
||||
</pre></div>
|
||||
|
||||
<div class="clearer"></div>
|
||||
</div>
|
||||
</div>
|
||||
</div>
|
||||
<div class="sphinxsidebar" role="navigation" aria-label="main navigation">
|
||||
<div class="sphinxsidebarwrapper">
|
||||
<p class="logo"><a href="../../../../index.html">
|
||||
<img class="logo" src="../../../../_static/logo_heading2.png" alt="Logo"/>
|
||||
</a></p>
|
||||
<div id="searchbox" style="display: none" role="search">
|
||||
<h3 id="searchlabel">Quick search</h3>
|
||||
<div class="searchformwrapper">
|
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<form class="search" action="../../../../search.html" method="get">
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<input type="text" name="q" aria-labelledby="searchlabel" autocomplete="off" autocorrect="off" autocapitalize="off" spellcheck="false"/>
|
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<input type="submit" value="Go" />
|
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</form>
|
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|
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|
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<script>$('#searchbox').show(0);</script>
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||||
</div>
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</div>
|
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<div class="clearer"></div>
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</div>
|
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<div class="related" role="navigation" aria-label="related navigation">
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<h3>Navigation</h3>
|
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<ul>
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<li class="right" style="margin-right: 10px">
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<a href="../../../../genindex.html" title="General Index"
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||||
>index</a></li>
|
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<li class="right" >
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||||
<a href="../../../../py-modindex.html" title="Python Module Index"
|
||||
>modules</a> |</li>
|
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<li class="nav-item nav-item-0"><a href="../../../../index.html">pyFTS 1.7 documentation</a> »</li>
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<li class="nav-item nav-item-1"><a href="../../../index.html" >Module code</a> »</li>
|
||||
<li class="nav-item nav-item-this"><a href="">pyFTS.common.transformations.trend</a></li>
|
||||
</ul>
|
||||
</div>
|
||||
<div class="footer" role="contentinfo">
|
||||
© Copyright 2022, Machine Intelligence and Data Science Laboratory - UFMG - Brazil.
|
||||
Created using <a href="https://www.sphinx-doc.org/">Sphinx</a> 4.5.0.
|
||||
</div>
|
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</body>
|
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</html>
|
||||
16
docs/build/html/_modules/pyFTS/common/tree.html
vendored
16
docs/build/html/_modules/pyFTS/common/tree.html
vendored
@ -47,17 +47,17 @@
|
||||
<span class="sd">Tree data structure</span>
|
||||
<span class="sd">"""</span>
|
||||
|
||||
<span class="kn">from</span> <span class="nn">pyFTS</span> <span class="k">import</span> <span class="o">*</span>
|
||||
<span class="kn">from</span> <span class="nn">functools</span> <span class="k">import</span> <span class="n">reduce</span>
|
||||
<span class="kn">from</span> <span class="nn">pyFTS</span> <span class="kn">import</span> <span class="o">*</span>
|
||||
<span class="kn">from</span> <span class="nn">functools</span> <span class="kn">import</span> <span class="n">reduce</span>
|
||||
<span class="kn">import</span> <span class="nn">numpy</span> <span class="k">as</span> <span class="nn">np</span>
|
||||
|
||||
|
||||
<div class="viewcode-block" id="FLRGTreeNode"><a class="viewcode-back" href="../../../pyFTS.common.html#pyFTS.common.tree.FLRGTreeNode">[docs]</a><span class="k">class</span> <span class="nc">FLRGTreeNode</span><span class="p">:</span>
|
||||
<span class="sd">"""</span>
|
||||
<span class="w"> </span><span class="sd">"""</span>
|
||||
<span class="sd"> Tree node for</span>
|
||||
<span class="sd"> """</span>
|
||||
|
||||
<span class="k">def</span> <span class="nf">__init__</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">value</span><span class="p">):</span>
|
||||
<span class="k">def</span> <span class="fm">__init__</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">value</span><span class="p">):</span>
|
||||
<span class="bp">self</span><span class="o">.</span><span class="n">isRoot</span> <span class="o">=</span> <span class="kc">False</span>
|
||||
<span class="bp">self</span><span class="o">.</span><span class="n">children</span> <span class="o">=</span> <span class="p">[]</span>
|
||||
<span class="bp">self</span><span class="o">.</span><span class="n">value</span> <span class="o">=</span> <span class="n">value</span>
|
||||
@ -86,13 +86,13 @@
|
||||
<span class="n">tmp</span> <span class="o">=</span> <span class="n">tmp</span> <span class="o">+</span> <span class="s2">"</span><span class="se">\n</span><span class="s2">"</span> <span class="o">+</span> <span class="n">child</span><span class="o">.</span><span class="n">getStr</span><span class="p">(</span><span class="n">k</span> <span class="o">+</span> <span class="mi">1</span><span class="p">)</span>
|
||||
<span class="k">return</span> <span class="n">tmp</span></div>
|
||||
|
||||
<span class="k">def</span> <span class="nf">__str__</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
|
||||
<span class="k">def</span> <span class="fm">__str__</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
|
||||
<span class="k">return</span> <span class="bp">self</span><span class="o">.</span><span class="n">getStr</span><span class="p">(</span><span class="mi">0</span><span class="p">)</span></div>
|
||||
|
||||
|
||||
<div class="viewcode-block" id="FLRGTree"><a class="viewcode-back" href="../../../pyFTS.common.html#pyFTS.common.tree.FLRGTree">[docs]</a><span class="k">class</span> <span class="nc">FLRGTree</span><span class="p">:</span>
|
||||
<span class="sd">"""Represents a FLRG set with a tree structure"""</span>
|
||||
<span class="k">def</span> <span class="nf">__init__</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
|
||||
<span class="w"> </span><span class="sd">"""Represents a FLRG set with a tree structure"""</span>
|
||||
<span class="k">def</span> <span class="fm">__init__</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
|
||||
<span class="bp">self</span><span class="o">.</span><span class="n">root</span> <span class="o">=</span> <span class="n">FLRGTreeNode</span><span class="p">(</span><span class="kc">None</span><span class="p">)</span></div>
|
||||
|
||||
|
||||
@ -154,7 +154,7 @@
|
||||
</div>
|
||||
<div class="footer" role="contentinfo">
|
||||
© Copyright 2022, Machine Intelligence and Data Science Laboratory - UFMG - Brazil.
|
||||
Created using <a href="https://www.sphinx-doc.org/">Sphinx</a> 4.5.0.
|
||||
Created using <a href="https://www.sphinx-doc.org/">Sphinx</a> 4.3.2.
|
||||
</div>
|
||||
</body>
|
||||
</html>
|
||||
@ -49,13 +49,13 @@
|
||||
<span class="sd">Source: Hyndman, R.J., Time Series Data Library, http://www-personal.buseco.monash.edu.au/~hyndman/TSDL/.</span>
|
||||
<span class="sd">"""</span>
|
||||
|
||||
<span class="kn">from</span> <span class="nn">pyFTS.data</span> <span class="k">import</span> <span class="n">common</span>
|
||||
<span class="kn">from</span> <span class="nn">pyFTS.data</span> <span class="kn">import</span> <span class="n">common</span>
|
||||
<span class="kn">import</span> <span class="nn">pandas</span> <span class="k">as</span> <span class="nn">pd</span>
|
||||
<span class="kn">import</span> <span class="nn">numpy</span> <span class="k">as</span> <span class="nn">np</span>
|
||||
|
||||
|
||||
<div class="viewcode-block" id="get_data"><a class="viewcode-back" href="../../../pyFTS.data.html#pyFTS.data.AirPassengers.get_data">[docs]</a><span class="k">def</span> <span class="nf">get_data</span><span class="p">()</span> <span class="o">-></span> <span class="n">np</span><span class="o">.</span><span class="n">ndarray</span><span class="p">:</span>
|
||||
<span class="sd">"""</span>
|
||||
<span class="w"> </span><span class="sd">"""</span>
|
||||
<span class="sd"> Get a simple univariate time series data.</span>
|
||||
|
||||
<span class="sd"> :return: numpy array</span>
|
||||
@ -65,7 +65,7 @@
|
||||
<span class="k">return</span> <span class="n">dat</span></div>
|
||||
|
||||
<div class="viewcode-block" id="get_dataframe"><a class="viewcode-back" href="../../../pyFTS.data.html#pyFTS.data.AirPassengers.get_dataframe">[docs]</a><span class="k">def</span> <span class="nf">get_dataframe</span><span class="p">()</span> <span class="o">-></span> <span class="n">pd</span><span class="o">.</span><span class="n">DataFrame</span><span class="p">:</span>
|
||||
<span class="sd">"""</span>
|
||||
<span class="w"> </span><span class="sd">"""</span>
|
||||
<span class="sd"> Get the complete multivariate time series data.</span>
|
||||
|
||||
<span class="sd"> :return: Pandas DataFrame</span>
|
||||
@ -113,7 +113,7 @@
|
||||
</div>
|
||||
<div class="footer" role="contentinfo">
|
||||
© Copyright 2022, Machine Intelligence and Data Science Laboratory - UFMG - Brazil.
|
||||
Created using <a href="https://www.sphinx-doc.org/">Sphinx</a> 4.5.0.
|
||||
Created using <a href="https://www.sphinx-doc.org/">Sphinx</a> 4.3.2.
|
||||
</div>
|
||||
</body>
|
||||
</html>
|
||||
@ -52,13 +52,13 @@
|
||||
<span class="sd">"""</span>
|
||||
|
||||
|
||||
<span class="kn">from</span> <span class="nn">pyFTS.data</span> <span class="k">import</span> <span class="n">common</span>
|
||||
<span class="kn">from</span> <span class="nn">pyFTS.data</span> <span class="kn">import</span> <span class="n">common</span>
|
||||
<span class="kn">import</span> <span class="nn">pandas</span> <span class="k">as</span> <span class="nn">pd</span>
|
||||
<span class="kn">import</span> <span class="nn">numpy</span> <span class="k">as</span> <span class="nn">np</span>
|
||||
|
||||
|
||||
<div class="viewcode-block" id="get_data"><a class="viewcode-back" href="../../../pyFTS.data.html#pyFTS.data.Bitcoin.get_data">[docs]</a><span class="k">def</span> <span class="nf">get_data</span><span class="p">(</span><span class="n">field</span><span class="p">:</span><span class="nb">str</span><span class="o">=</span><span class="s1">'AVG'</span><span class="p">)</span> <span class="o">-></span> <span class="n">np</span><span class="o">.</span><span class="n">ndarray</span><span class="p">:</span>
|
||||
<span class="sd">"""</span>
|
||||
<span class="w"> </span><span class="sd">"""</span>
|
||||
<span class="sd"> Get the univariate time series data.</span>
|
||||
|
||||
<span class="sd"> :param field: dataset field to load</span>
|
||||
@ -69,7 +69,7 @@
|
||||
|
||||
|
||||
<div class="viewcode-block" id="get_dataframe"><a class="viewcode-back" href="../../../pyFTS.data.html#pyFTS.data.Bitcoin.get_dataframe">[docs]</a><span class="k">def</span> <span class="nf">get_dataframe</span><span class="p">()</span> <span class="o">-></span> <span class="n">pd</span><span class="o">.</span><span class="n">DataFrame</span><span class="p">:</span>
|
||||
<span class="sd">"""</span>
|
||||
<span class="w"> </span><span class="sd">"""</span>
|
||||
<span class="sd"> Get the complete multivariate time series data.</span>
|
||||
|
||||
<span class="sd"> :return: Pandas DataFrame</span>
|
||||
@ -117,7 +117,7 @@
|
||||
</div>
|
||||
<div class="footer" role="contentinfo">
|
||||
© Copyright 2022, Machine Intelligence and Data Science Laboratory - UFMG - Brazil.
|
||||
Created using <a href="https://www.sphinx-doc.org/">Sphinx</a> 4.5.0.
|
||||
Created using <a href="https://www.sphinx-doc.org/">Sphinx</a> 4.3.2.
|
||||
</div>
|
||||
</body>
|
||||
</html>
|
||||
@ -52,13 +52,13 @@
|
||||
<span class="sd">"""</span>
|
||||
|
||||
|
||||
<span class="kn">from</span> <span class="nn">pyFTS.data</span> <span class="k">import</span> <span class="n">common</span>
|
||||
<span class="kn">from</span> <span class="nn">pyFTS.data</span> <span class="kn">import</span> <span class="n">common</span>
|
||||
<span class="kn">import</span> <span class="nn">pandas</span> <span class="k">as</span> <span class="nn">pd</span>
|
||||
<span class="kn">import</span> <span class="nn">numpy</span> <span class="k">as</span> <span class="nn">np</span>
|
||||
|
||||
|
||||
<div class="viewcode-block" id="get_data"><a class="viewcode-back" href="../../../pyFTS.data.html#pyFTS.data.DowJones.get_data">[docs]</a><span class="k">def</span> <span class="nf">get_data</span><span class="p">(</span><span class="n">field</span><span class="p">:</span><span class="nb">str</span><span class="o">=</span><span class="s1">'AVG'</span><span class="p">)</span> <span class="o">-></span> <span class="n">np</span><span class="o">.</span><span class="n">ndarray</span><span class="p">:</span>
|
||||
<span class="sd">"""</span>
|
||||
<span class="w"> </span><span class="sd">"""</span>
|
||||
<span class="sd"> Get the univariate time series data.</span>
|
||||
|
||||
<span class="sd"> :param field: dataset field to load</span>
|
||||
@ -69,7 +69,7 @@
|
||||
|
||||
|
||||
<div class="viewcode-block" id="get_dataframe"><a class="viewcode-back" href="../../../pyFTS.data.html#pyFTS.data.DowJones.get_dataframe">[docs]</a><span class="k">def</span> <span class="nf">get_dataframe</span><span class="p">()</span> <span class="o">-></span> <span class="n">pd</span><span class="o">.</span><span class="n">DataFrame</span><span class="p">:</span>
|
||||
<span class="sd">"""</span>
|
||||
<span class="w"> </span><span class="sd">"""</span>
|
||||
<span class="sd"> Get the complete multivariate time series data.</span>
|
||||
|
||||
<span class="sd"> :return: Pandas DataFrame</span>
|
||||
@ -117,7 +117,7 @@
|
||||
</div>
|
||||
<div class="footer" role="contentinfo">
|
||||
© Copyright 2022, Machine Intelligence and Data Science Laboratory - UFMG - Brazil.
|
||||
Created using <a href="https://www.sphinx-doc.org/">Sphinx</a> 4.5.0.
|
||||
Created using <a href="https://www.sphinx-doc.org/">Sphinx</a> 4.3.2.
|
||||
</div>
|
||||
</body>
|
||||
</html>
|
||||
@ -50,13 +50,13 @@
|
||||
<span class="sd">"""</span>
|
||||
|
||||
|
||||
<span class="kn">from</span> <span class="nn">pyFTS.data</span> <span class="k">import</span> <span class="n">common</span>
|
||||
<span class="kn">from</span> <span class="nn">pyFTS.data</span> <span class="kn">import</span> <span class="n">common</span>
|
||||
<span class="kn">import</span> <span class="nn">pandas</span> <span class="k">as</span> <span class="nn">pd</span>
|
||||
<span class="kn">import</span> <span class="nn">numpy</span> <span class="k">as</span> <span class="nn">np</span>
|
||||
|
||||
|
||||
<div class="viewcode-block" id="get_data"><a class="viewcode-back" href="../../../pyFTS.data.html#pyFTS.data.EURGBP.get_data">[docs]</a><span class="k">def</span> <span class="nf">get_data</span><span class="p">(</span><span class="n">field</span><span class="p">:</span><span class="nb">str</span><span class="o">=</span><span class="s1">'avg'</span><span class="p">)</span> <span class="o">-></span> <span class="n">np</span><span class="o">.</span><span class="n">ndarray</span><span class="p">:</span>
|
||||
<span class="sd">"""</span>
|
||||
<span class="w"> </span><span class="sd">"""</span>
|
||||
<span class="sd"> Get the univariate time series data.</span>
|
||||
|
||||
<span class="sd"> :param field: dataset field to load</span>
|
||||
@ -67,7 +67,7 @@
|
||||
|
||||
|
||||
<div class="viewcode-block" id="get_dataframe"><a class="viewcode-back" href="../../../pyFTS.data.html#pyFTS.data.EURGBP.get_dataframe">[docs]</a><span class="k">def</span> <span class="nf">get_dataframe</span><span class="p">()</span> <span class="o">-></span> <span class="n">pd</span><span class="o">.</span><span class="n">DataFrame</span><span class="p">:</span>
|
||||
<span class="sd">"""</span>
|
||||
<span class="w"> </span><span class="sd">"""</span>
|
||||
<span class="sd"> Get the complete multivariate time series data.</span>
|
||||
|
||||
<span class="sd"> :return: Pandas DataFrame</span>
|
||||
@ -115,7 +115,7 @@
|
||||
</div>
|
||||
<div class="footer" role="contentinfo">
|
||||
© Copyright 2022, Machine Intelligence and Data Science Laboratory - UFMG - Brazil.
|
||||
Created using <a href="https://www.sphinx-doc.org/">Sphinx</a> 4.5.0.
|
||||
Created using <a href="https://www.sphinx-doc.org/">Sphinx</a> 4.3.2.
|
||||
</div>
|
||||
</body>
|
||||
</html>
|
||||
@ -50,13 +50,13 @@
|
||||
<span class="sd">"""</span>
|
||||
|
||||
|
||||
<span class="kn">from</span> <span class="nn">pyFTS.data</span> <span class="k">import</span> <span class="n">common</span>
|
||||
<span class="kn">from</span> <span class="nn">pyFTS.data</span> <span class="kn">import</span> <span class="n">common</span>
|
||||
<span class="kn">import</span> <span class="nn">pandas</span> <span class="k">as</span> <span class="nn">pd</span>
|
||||
<span class="kn">import</span> <span class="nn">numpy</span> <span class="k">as</span> <span class="nn">np</span>
|
||||
|
||||
|
||||
<div class="viewcode-block" id="get_data"><a class="viewcode-back" href="../../../pyFTS.data.html#pyFTS.data.EURUSD.get_data">[docs]</a><span class="k">def</span> <span class="nf">get_data</span><span class="p">(</span><span class="n">field</span><span class="p">:</span> <span class="nb">str</span><span class="o">=</span><span class="s1">'avg'</span><span class="p">)</span> <span class="o">-></span> <span class="n">np</span><span class="o">.</span><span class="n">ndarray</span><span class="p">:</span>
|
||||
<span class="sd">"""</span>
|
||||
<span class="w"> </span><span class="sd">"""</span>
|
||||
<span class="sd"> Get the univariate time series data.</span>
|
||||
|
||||
<span class="sd"> :param field: dataset field to load</span>
|
||||
@ -67,7 +67,7 @@
|
||||
|
||||
|
||||
<div class="viewcode-block" id="get_dataframe"><a class="viewcode-back" href="../../../pyFTS.data.html#pyFTS.data.EURUSD.get_dataframe">[docs]</a><span class="k">def</span> <span class="nf">get_dataframe</span><span class="p">()</span> <span class="o">-></span> <span class="n">pd</span><span class="o">.</span><span class="n">DataFrame</span><span class="p">:</span>
|
||||
<span class="sd">"""</span>
|
||||
<span class="w"> </span><span class="sd">"""</span>
|
||||
<span class="sd"> Get the complete multivariate time series data.</span>
|
||||
|
||||
<span class="sd"> :return: Pandas DataFrame</span>
|
||||
@ -115,7 +115,7 @@
|
||||
</div>
|
||||
<div class="footer" role="contentinfo">
|
||||
© Copyright 2022, Machine Intelligence and Data Science Laboratory - UFMG - Brazil.
|
||||
Created using <a href="https://www.sphinx-doc.org/">Sphinx</a> 4.5.0.
|
||||
Created using <a href="https://www.sphinx-doc.org/">Sphinx</a> 4.3.2.
|
||||
</div>
|
||||
</body>
|
||||
</html>
|
||||
@ -47,13 +47,13 @@
|
||||
<span class="sd">Yearly University of Alabama enrollments from 1971 to 1992.</span>
|
||||
<span class="sd">"""</span>
|
||||
|
||||
<span class="kn">from</span> <span class="nn">pyFTS.data</span> <span class="k">import</span> <span class="n">common</span>
|
||||
<span class="kn">from</span> <span class="nn">pyFTS.data</span> <span class="kn">import</span> <span class="n">common</span>
|
||||
<span class="kn">import</span> <span class="nn">pandas</span> <span class="k">as</span> <span class="nn">pd</span>
|
||||
<span class="kn">import</span> <span class="nn">numpy</span> <span class="k">as</span> <span class="nn">np</span>
|
||||
|
||||
|
||||
<div class="viewcode-block" id="get_data"><a class="viewcode-back" href="../../../pyFTS.data.html#pyFTS.data.Enrollments.get_data">[docs]</a><span class="k">def</span> <span class="nf">get_data</span><span class="p">()</span> <span class="o">-></span> <span class="n">np</span><span class="o">.</span><span class="n">ndarray</span><span class="p">:</span>
|
||||
<span class="sd">"""</span>
|
||||
<span class="w"> </span><span class="sd">"""</span>
|
||||
<span class="sd"> Get a simple univariate time series data.</span>
|
||||
|
||||
<span class="sd"> :return: numpy array</span>
|
||||
@ -106,7 +106,7 @@
|
||||
</div>
|
||||
<div class="footer" role="contentinfo">
|
||||
© Copyright 2022, Machine Intelligence and Data Science Laboratory - UFMG - Brazil.
|
||||
Created using <a href="https://www.sphinx-doc.org/">Sphinx</a> 4.5.0.
|
||||
Created using <a href="https://www.sphinx-doc.org/">Sphinx</a> 4.3.2.
|
||||
</div>
|
||||
</body>
|
||||
</html>
|
||||
@ -52,13 +52,13 @@
|
||||
<span class="sd">"""</span>
|
||||
|
||||
|
||||
<span class="kn">from</span> <span class="nn">pyFTS.data</span> <span class="k">import</span> <span class="n">common</span>
|
||||
<span class="kn">from</span> <span class="nn">pyFTS.data</span> <span class="kn">import</span> <span class="n">common</span>
|
||||
<span class="kn">import</span> <span class="nn">pandas</span> <span class="k">as</span> <span class="nn">pd</span>
|
||||
<span class="kn">import</span> <span class="nn">numpy</span> <span class="k">as</span> <span class="nn">np</span>
|
||||
|
||||
|
||||
<div class="viewcode-block" id="get_data"><a class="viewcode-back" href="../../../pyFTS.data.html#pyFTS.data.Ethereum.get_data">[docs]</a><span class="k">def</span> <span class="nf">get_data</span><span class="p">(</span><span class="n">field</span><span class="p">:</span> <span class="nb">str</span><span class="o">=</span><span class="s1">'AVG'</span><span class="p">)</span> <span class="o">-></span> <span class="n">np</span><span class="o">.</span><span class="n">ndarray</span><span class="p">:</span>
|
||||
<span class="sd">"""</span>
|
||||
<span class="w"> </span><span class="sd">"""</span>
|
||||
<span class="sd"> Get the univariate time series data.</span>
|
||||
|
||||
<span class="sd"> :param field: dataset field to load</span>
|
||||
@ -69,7 +69,7 @@
|
||||
|
||||
|
||||
<div class="viewcode-block" id="get_dataframe"><a class="viewcode-back" href="../../../pyFTS.data.html#pyFTS.data.Ethereum.get_dataframe">[docs]</a><span class="k">def</span> <span class="nf">get_dataframe</span><span class="p">()</span> <span class="o">-></span> <span class="n">pd</span><span class="o">.</span><span class="n">DataFrame</span><span class="p">:</span>
|
||||
<span class="sd">"""</span>
|
||||
<span class="w"> </span><span class="sd">"""</span>
|
||||
<span class="sd"> Get the complete multivariate time series data.</span>
|
||||
|
||||
<span class="sd"> :return: Pandas DataFrame</span>
|
||||
@ -117,7 +117,7 @@
|
||||
</div>
|
||||
<div class="footer" role="contentinfo">
|
||||
© Copyright 2022, Machine Intelligence and Data Science Laboratory - UFMG - Brazil.
|
||||
Created using <a href="https://www.sphinx-doc.org/">Sphinx</a> 4.5.0.
|
||||
Created using <a href="https://www.sphinx-doc.org/">Sphinx</a> 4.3.2.
|
||||
</div>
|
||||
</body>
|
||||
</html>
|
||||
@ -50,13 +50,13 @@
|
||||
<span class="sd">"""</span>
|
||||
|
||||
|
||||
<span class="kn">from</span> <span class="nn">pyFTS.data</span> <span class="k">import</span> <span class="n">common</span>
|
||||
<span class="kn">from</span> <span class="nn">pyFTS.data</span> <span class="kn">import</span> <span class="n">common</span>
|
||||
<span class="kn">import</span> <span class="nn">pandas</span> <span class="k">as</span> <span class="nn">pd</span>
|
||||
<span class="kn">import</span> <span class="nn">numpy</span> <span class="k">as</span> <span class="nn">np</span>
|
||||
|
||||
|
||||
<div class="viewcode-block" id="get_data"><a class="viewcode-back" href="../../../pyFTS.data.html#pyFTS.data.GBPUSD.get_data">[docs]</a><span class="k">def</span> <span class="nf">get_data</span><span class="p">(</span><span class="n">field</span><span class="p">:</span> <span class="nb">str</span><span class="o">=</span><span class="s1">'avg'</span><span class="p">)</span> <span class="o">-></span> <span class="n">np</span><span class="o">.</span><span class="n">ndarray</span><span class="p">:</span>
|
||||
<span class="sd">"""</span>
|
||||
<span class="w"> </span><span class="sd">"""</span>
|
||||
<span class="sd"> Get the univariate time series data.</span>
|
||||
|
||||
<span class="sd"> :param field: dataset field to load</span>
|
||||
@ -67,7 +67,7 @@
|
||||
|
||||
|
||||
<div class="viewcode-block" id="get_dataframe"><a class="viewcode-back" href="../../../pyFTS.data.html#pyFTS.data.GBPUSD.get_dataframe">[docs]</a><span class="k">def</span> <span class="nf">get_dataframe</span><span class="p">()</span> <span class="o">-></span> <span class="n">pd</span><span class="o">.</span><span class="n">DataFrame</span><span class="p">:</span>
|
||||
<span class="sd">"""</span>
|
||||
<span class="w"> </span><span class="sd">"""</span>
|
||||
<span class="sd"> Get the complete multivariate time series data.</span>
|
||||
|
||||
<span class="sd"> :return: Pandas DataFrame</span>
|
||||
@ -115,7 +115,7 @@
|
||||
</div>
|
||||
<div class="footer" role="contentinfo">
|
||||
© Copyright 2022, Machine Intelligence and Data Science Laboratory - UFMG - Brazil.
|
||||
Created using <a href="https://www.sphinx-doc.org/">Sphinx</a> 4.5.0.
|
||||
Created using <a href="https://www.sphinx-doc.org/">Sphinx</a> 4.3.2.
|
||||
</div>
|
||||
</body>
|
||||
</html>
|
||||
@ -51,12 +51,12 @@
|
||||
<span class="sd">Source: http://www.inmet.gov.br</span>
|
||||
<span class="sd">"""</span>
|
||||
|
||||
<span class="kn">from</span> <span class="nn">pyFTS.data</span> <span class="k">import</span> <span class="n">common</span>
|
||||
<span class="kn">from</span> <span class="nn">pyFTS.data</span> <span class="kn">import</span> <span class="n">common</span>
|
||||
<span class="kn">import</span> <span class="nn">pandas</span> <span class="k">as</span> <span class="nn">pd</span>
|
||||
|
||||
|
||||
<div class="viewcode-block" id="get_dataframe"><a class="viewcode-back" href="../../../pyFTS.data.html#pyFTS.data.INMET.get_dataframe">[docs]</a><span class="k">def</span> <span class="nf">get_dataframe</span><span class="p">()</span> <span class="o">-></span> <span class="n">pd</span><span class="o">.</span><span class="n">DataFrame</span><span class="p">:</span>
|
||||
<span class="sd">"""</span>
|
||||
<span class="w"> </span><span class="sd">"""</span>
|
||||
<span class="sd"> Get the complete multivariate time series data.</span>
|
||||
|
||||
<span class="sd"> :return: Pandas DataFrame</span>
|
||||
@ -104,7 +104,7 @@
|
||||
</div>
|
||||
<div class="footer" role="contentinfo">
|
||||
© Copyright 2022, Machine Intelligence and Data Science Laboratory - UFMG - Brazil.
|
||||
Created using <a href="https://www.sphinx-doc.org/">Sphinx</a> 4.5.0.
|
||||
Created using <a href="https://www.sphinx-doc.org/">Sphinx</a> 4.3.2.
|
||||
</div>
|
||||
</body>
|
||||
</html>
|
||||
@ -48,13 +48,13 @@
|
||||
<span class="sd">"""</span>
|
||||
|
||||
|
||||
<span class="kn">from</span> <span class="nn">pyFTS.data</span> <span class="k">import</span> <span class="n">common</span>
|
||||
<span class="kn">from</span> <span class="nn">pyFTS.data</span> <span class="kn">import</span> <span class="n">common</span>
|
||||
<span class="kn">import</span> <span class="nn">pandas</span> <span class="k">as</span> <span class="nn">pd</span>
|
||||
<span class="kn">import</span> <span class="nn">numpy</span> <span class="k">as</span> <span class="nn">np</span>
|
||||
|
||||
|
||||
<div class="viewcode-block" id="get_data"><a class="viewcode-back" href="../../../pyFTS.data.html#pyFTS.data.Malaysia.get_data">[docs]</a><span class="k">def</span> <span class="nf">get_data</span><span class="p">(</span><span class="n">field</span><span class="p">:</span> <span class="nb">str</span><span class="o">=</span><span class="s1">'load'</span><span class="p">)</span> <span class="o">-></span> <span class="n">np</span><span class="o">.</span><span class="n">ndarray</span><span class="p">:</span>
|
||||
<span class="sd">"""</span>
|
||||
<span class="w"> </span><span class="sd">"""</span>
|
||||
<span class="sd"> Get the univariate time series data.</span>
|
||||
|
||||
<span class="sd"> :param field: dataset field to load</span>
|
||||
@ -65,7 +65,7 @@
|
||||
|
||||
|
||||
<div class="viewcode-block" id="get_dataframe"><a class="viewcode-back" href="../../../pyFTS.data.html#pyFTS.data.Malaysia.get_dataframe">[docs]</a><span class="k">def</span> <span class="nf">get_dataframe</span><span class="p">()</span> <span class="o">-></span> <span class="n">pd</span><span class="o">.</span><span class="n">DataFrame</span><span class="p">:</span>
|
||||
<span class="sd">"""</span>
|
||||
<span class="w"> </span><span class="sd">"""</span>
|
||||
<span class="sd"> Get the complete multivariate time series data.</span>
|
||||
|
||||
<span class="sd"> :return: Pandas DataFrame</span>
|
||||
@ -114,7 +114,7 @@
|
||||
</div>
|
||||
<div class="footer" role="contentinfo">
|
||||
© Copyright 2022, Machine Intelligence and Data Science Laboratory - UFMG - Brazil.
|
||||
Created using <a href="https://www.sphinx-doc.org/">Sphinx</a> 4.5.0.
|
||||
Created using <a href="https://www.sphinx-doc.org/">Sphinx</a> 4.3.2.
|
||||
</div>
|
||||
</body>
|
||||
</html>
|
||||
@ -51,13 +51,13 @@
|
||||
<span class="sd">Source: http://www.nasdaq.com/aspx/flashquotes.aspx?symbol=IXIC&selected=IXIC</span>
|
||||
<span class="sd">"""</span>
|
||||
|
||||
<span class="kn">from</span> <span class="nn">pyFTS.data</span> <span class="k">import</span> <span class="n">common</span>
|
||||
<span class="kn">from</span> <span class="nn">pyFTS.data</span> <span class="kn">import</span> <span class="n">common</span>
|
||||
<span class="kn">import</span> <span class="nn">pandas</span> <span class="k">as</span> <span class="nn">pd</span>
|
||||
<span class="kn">import</span> <span class="nn">numpy</span> <span class="k">as</span> <span class="nn">np</span>
|
||||
|
||||
|
||||
<div class="viewcode-block" id="get_data"><a class="viewcode-back" href="../../../pyFTS.data.html#pyFTS.data.NASDAQ.get_data">[docs]</a><span class="k">def</span> <span class="nf">get_data</span><span class="p">(</span><span class="n">field</span><span class="p">:</span> <span class="nb">str</span><span class="o">=</span><span class="s2">"avg"</span><span class="p">)</span> <span class="o">-></span> <span class="n">np</span><span class="o">.</span><span class="n">ndarray</span><span class="p">:</span>
|
||||
<span class="sd">"""</span>
|
||||
<span class="w"> </span><span class="sd">"""</span>
|
||||
<span class="sd"> Get a simple univariate time series data.</span>
|
||||
|
||||
<span class="sd"> :param field: the dataset field name to extract</span>
|
||||
@ -69,7 +69,7 @@
|
||||
|
||||
|
||||
<div class="viewcode-block" id="get_dataframe"><a class="viewcode-back" href="../../../pyFTS.data.html#pyFTS.data.NASDAQ.get_dataframe">[docs]</a><span class="k">def</span> <span class="nf">get_dataframe</span><span class="p">()</span> <span class="o">-></span> <span class="n">pd</span><span class="o">.</span><span class="n">DataFrame</span><span class="p">:</span>
|
||||
<span class="sd">"""</span>
|
||||
<span class="w"> </span><span class="sd">"""</span>
|
||||
<span class="sd"> Get the complete multivariate time series data.</span>
|
||||
|
||||
<span class="sd"> :return: Pandas DataFrame</span>
|
||||
@ -117,7 +117,7 @@
|
||||
</div>
|
||||
<div class="footer" role="contentinfo">
|
||||
© Copyright 2022, Machine Intelligence and Data Science Laboratory - UFMG - Brazil.
|
||||
Created using <a href="https://www.sphinx-doc.org/">Sphinx</a> 4.5.0.
|
||||
Created using <a href="https://www.sphinx-doc.org/">Sphinx</a> 4.3.2.
|
||||
</div>
|
||||
</body>
|
||||
</html>
|
||||
@ -51,13 +51,13 @@
|
||||
<span class="sd">Source: http://sonda.ccst.inpe.br/</span>
|
||||
|
||||
<span class="sd">"""</span>
|
||||
<span class="kn">from</span> <span class="nn">pyFTS.data</span> <span class="k">import</span> <span class="n">common</span>
|
||||
<span class="kn">from</span> <span class="nn">pyFTS.data</span> <span class="kn">import</span> <span class="n">common</span>
|
||||
<span class="kn">import</span> <span class="nn">pandas</span> <span class="k">as</span> <span class="nn">pd</span>
|
||||
<span class="kn">import</span> <span class="nn">numpy</span> <span class="k">as</span> <span class="nn">np</span>
|
||||
|
||||
|
||||
<div class="viewcode-block" id="get_data"><a class="viewcode-back" href="../../../pyFTS.data.html#pyFTS.data.SONDA.get_data">[docs]</a><span class="k">def</span> <span class="nf">get_data</span><span class="p">(</span><span class="n">field</span><span class="p">:</span><span class="nb">str</span><span class="p">)</span> <span class="o">-></span> <span class="n">np</span><span class="o">.</span><span class="n">ndarray</span><span class="p">:</span>
|
||||
<span class="sd">"""</span>
|
||||
<span class="w"> </span><span class="sd">"""</span>
|
||||
<span class="sd"> Get a simple univariate time series data.</span>
|
||||
|
||||
<span class="sd"> :param field: the dataset field name to extract</span>
|
||||
@ -69,7 +69,7 @@
|
||||
|
||||
|
||||
<div class="viewcode-block" id="get_dataframe"><a class="viewcode-back" href="../../../pyFTS.data.html#pyFTS.data.SONDA.get_dataframe">[docs]</a><span class="k">def</span> <span class="nf">get_dataframe</span><span class="p">()</span> <span class="o">-></span> <span class="n">pd</span><span class="o">.</span><span class="n">DataFrame</span><span class="p">:</span>
|
||||
<span class="sd">"""</span>
|
||||
<span class="w"> </span><span class="sd">"""</span>
|
||||
<span class="sd"> Get the complete multivariate time series data.</span>
|
||||
|
||||
<span class="sd"> :return: Pandas DataFrame</span>
|
||||
@ -118,7 +118,7 @@
|
||||
</div>
|
||||
<div class="footer" role="contentinfo">
|
||||
© Copyright 2022, Machine Intelligence and Data Science Laboratory - UFMG - Brazil.
|
||||
Created using <a href="https://www.sphinx-doc.org/">Sphinx</a> 4.5.0.
|
||||
Created using <a href="https://www.sphinx-doc.org/">Sphinx</a> 4.3.2.
|
||||
</div>
|
||||
</body>
|
||||
</html>
|
||||
@ -51,13 +51,13 @@
|
||||
<span class="sd">Source: https://finance.yahoo.com/quote/%5EGSPC/history?p=%5EGSPC</span>
|
||||
<span class="sd">"""</span>
|
||||
|
||||
<span class="kn">from</span> <span class="nn">pyFTS.data</span> <span class="k">import</span> <span class="n">common</span>
|
||||
<span class="kn">from</span> <span class="nn">pyFTS.data</span> <span class="kn">import</span> <span class="n">common</span>
|
||||
<span class="kn">import</span> <span class="nn">pandas</span> <span class="k">as</span> <span class="nn">pd</span>
|
||||
<span class="kn">import</span> <span class="nn">numpy</span> <span class="k">as</span> <span class="nn">np</span>
|
||||
|
||||
|
||||
<div class="viewcode-block" id="get_data"><a class="viewcode-back" href="../../../pyFTS.data.html#pyFTS.data.SP500.get_data">[docs]</a><span class="k">def</span> <span class="nf">get_data</span><span class="p">()</span> <span class="o">-></span> <span class="n">np</span><span class="o">.</span><span class="n">ndarray</span><span class="p">:</span>
|
||||
<span class="sd">"""</span>
|
||||
<span class="w"> </span><span class="sd">"""</span>
|
||||
<span class="sd"> Get the univariate time series data.</span>
|
||||
|
||||
<span class="sd"> :return: numpy array</span>
|
||||
@ -67,7 +67,7 @@
|
||||
|
||||
|
||||
<div class="viewcode-block" id="get_dataframe"><a class="viewcode-back" href="../../../pyFTS.data.html#pyFTS.data.SP500.get_dataframe">[docs]</a><span class="k">def</span> <span class="nf">get_dataframe</span><span class="p">()</span> <span class="o">-></span> <span class="n">pd</span><span class="o">.</span><span class="n">DataFrame</span><span class="p">:</span>
|
||||
<span class="sd">"""</span>
|
||||
<span class="w"> </span><span class="sd">"""</span>
|
||||
<span class="sd"> Get the complete multivariate time series data.</span>
|
||||
|
||||
<span class="sd"> :return: Pandas DataFrame</span>
|
||||
@ -115,7 +115,7 @@
|
||||
</div>
|
||||
<div class="footer" role="contentinfo">
|
||||
© Copyright 2022, Machine Intelligence and Data Science Laboratory - UFMG - Brazil.
|
||||
Created using <a href="https://www.sphinx-doc.org/">Sphinx</a> 4.5.0.
|
||||
Created using <a href="https://www.sphinx-doc.org/">Sphinx</a> 4.3.2.
|
||||
</div>
|
||||
</body>
|
||||
</html>
|
||||
@ -50,13 +50,13 @@
|
||||
|
||||
<span class="sd">Source: http://www.twse.com.tw/en/products/indices/Index_Series.php</span>
|
||||
<span class="sd">"""</span>
|
||||
<span class="kn">from</span> <span class="nn">pyFTS.data</span> <span class="k">import</span> <span class="n">common</span>
|
||||
<span class="kn">from</span> <span class="nn">pyFTS.data</span> <span class="kn">import</span> <span class="n">common</span>
|
||||
<span class="kn">import</span> <span class="nn">pandas</span> <span class="k">as</span> <span class="nn">pd</span>
|
||||
<span class="kn">import</span> <span class="nn">numpy</span> <span class="k">as</span> <span class="nn">np</span>
|
||||
|
||||
|
||||
<div class="viewcode-block" id="get_data"><a class="viewcode-back" href="../../../pyFTS.data.html#pyFTS.data.TAIEX.get_data">[docs]</a><span class="k">def</span> <span class="nf">get_data</span><span class="p">()</span> <span class="o">-></span> <span class="n">np</span><span class="o">.</span><span class="n">ndarray</span><span class="p">:</span>
|
||||
<span class="sd">"""</span>
|
||||
<span class="w"> </span><span class="sd">"""</span>
|
||||
<span class="sd"> Get the univariate time series data.</span>
|
||||
|
||||
<span class="sd"> :return: numpy array</span>
|
||||
@ -67,7 +67,7 @@
|
||||
|
||||
|
||||
<div class="viewcode-block" id="get_dataframe"><a class="viewcode-back" href="../../../pyFTS.data.html#pyFTS.data.TAIEX.get_dataframe">[docs]</a><span class="k">def</span> <span class="nf">get_dataframe</span><span class="p">()</span> <span class="o">-></span> <span class="n">pd</span><span class="o">.</span><span class="n">DataFrame</span><span class="p">:</span>
|
||||
<span class="sd">"""</span>
|
||||
<span class="w"> </span><span class="sd">"""</span>
|
||||
<span class="sd"> Get the complete multivariate time series data.</span>
|
||||
|
||||
<span class="sd"> :return: Pandas DataFrame</span>
|
||||
@ -116,7 +116,7 @@
|
||||
</div>
|
||||
<div class="footer" role="contentinfo">
|
||||
© Copyright 2022, Machine Intelligence and Data Science Laboratory - UFMG - Brazil.
|
||||
Created using <a href="https://www.sphinx-doc.org/">Sphinx</a> 4.5.0.
|
||||
Created using <a href="https://www.sphinx-doc.org/">Sphinx</a> 4.3.2.
|
||||
</div>
|
||||
</body>
|
||||
</html>
|
||||
@ -51,18 +51,18 @@
|
||||
|
||||
|
||||
<div class="viewcode-block" id="SignalEmulator"><a class="viewcode-back" href="../../../pyFTS.data.html#pyFTS.data.artificial.SignalEmulator">[docs]</a><span class="k">class</span> <span class="nc">SignalEmulator</span><span class="p">(</span><span class="nb">object</span><span class="p">):</span>
|
||||
<span class="sd">"""</span>
|
||||
<span class="w"> </span><span class="sd">"""</span>
|
||||
<span class="sd"> Emulate a complex signal built from several additive and non-additive components</span>
|
||||
<span class="sd"> """</span>
|
||||
|
||||
<span class="k">def</span> <span class="nf">__init__</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="o">**</span><span class="n">kwargs</span><span class="p">):</span>
|
||||
<span class="k">def</span> <span class="fm">__init__</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="o">**</span><span class="n">kwargs</span><span class="p">):</span>
|
||||
<span class="nb">super</span><span class="p">(</span><span class="n">SignalEmulator</span><span class="p">,</span> <span class="bp">self</span><span class="p">)</span><span class="o">.</span><span class="fm">__init__</span><span class="p">()</span>
|
||||
|
||||
<span class="bp">self</span><span class="o">.</span><span class="n">components</span> <span class="o">=</span> <span class="p">[]</span>
|
||||
<span class="sd">"""Components of the signal"""</span>
|
||||
<span class="w"> </span><span class="sd">"""Components of the signal"""</span>
|
||||
|
||||
<div class="viewcode-block" id="SignalEmulator.stationary_gaussian"><a class="viewcode-back" href="../../../pyFTS.data.html#pyFTS.data.artificial.SignalEmulator.stationary_gaussian">[docs]</a> <span class="k">def</span> <span class="nf">stationary_gaussian</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">mu</span><span class="p">:</span><span class="nb">float</span><span class="p">,</span> <span class="n">sigma</span><span class="p">:</span><span class="nb">float</span><span class="p">,</span> <span class="o">**</span><span class="n">kwargs</span><span class="p">):</span>
|
||||
<span class="sd">"""</span>
|
||||
<span class="w"> </span><span class="sd">"""</span>
|
||||
<span class="sd"> Creates a continuous Gaussian signal with mean mu and variance sigma.</span>
|
||||
|
||||
<span class="sd"> :param mu: mean</span>
|
||||
@ -82,7 +82,7 @@
|
||||
<span class="k">return</span> <span class="bp">self</span></div>
|
||||
|
||||
<div class="viewcode-block" id="SignalEmulator.incremental_gaussian"><a class="viewcode-back" href="../../../pyFTS.data.html#pyFTS.data.artificial.SignalEmulator.incremental_gaussian">[docs]</a> <span class="k">def</span> <span class="nf">incremental_gaussian</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">mu</span><span class="p">:</span><span class="nb">float</span><span class="p">,</span> <span class="n">sigma</span><span class="p">:</span><span class="nb">float</span><span class="p">,</span> <span class="o">**</span><span class="n">kwargs</span><span class="p">):</span>
|
||||
<span class="sd">"""</span>
|
||||
<span class="w"> </span><span class="sd">"""</span>
|
||||
<span class="sd"> Creates an additive gaussian interference on a previous signal</span>
|
||||
|
||||
<span class="sd"> :param mu: increment on mean</span>
|
||||
@ -100,7 +100,7 @@
|
||||
<span class="k">return</span> <span class="bp">self</span></div>
|
||||
|
||||
<div class="viewcode-block" id="SignalEmulator.periodic_gaussian"><a class="viewcode-back" href="../../../pyFTS.data.html#pyFTS.data.artificial.SignalEmulator.periodic_gaussian">[docs]</a> <span class="k">def</span> <span class="nf">periodic_gaussian</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="nb">type</span><span class="p">:</span><span class="nb">str</span><span class="p">,</span> <span class="n">period</span><span class="p">:</span><span class="nb">int</span><span class="p">,</span> <span class="n">mu_min</span><span class="p">:</span><span class="nb">float</span><span class="p">,</span> <span class="n">sigma_min</span><span class="p">:</span><span class="nb">float</span><span class="p">,</span> <span class="n">mu_max</span><span class="p">:</span><span class="nb">float</span><span class="p">,</span> <span class="n">sigma_max</span><span class="p">:</span><span class="nb">float</span><span class="p">,</span> <span class="o">**</span><span class="n">kwargs</span><span class="p">):</span>
|
||||
<span class="sd">"""</span>
|
||||
<span class="w"> </span><span class="sd">"""</span>
|
||||
<span class="sd"> Creates an additive periodic gaussian interference on a previous signal</span>
|
||||
|
||||
<span class="sd"> :param type: 'linear' or 'sinoidal'</span>
|
||||
@ -121,7 +121,7 @@
|
||||
<span class="k">return</span> <span class="bp">self</span></div>
|
||||
|
||||
<div class="viewcode-block" id="SignalEmulator.blip"><a class="viewcode-back" href="../../../pyFTS.data.html#pyFTS.data.artificial.SignalEmulator.blip">[docs]</a> <span class="k">def</span> <span class="nf">blip</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="o">**</span><span class="n">kwargs</span><span class="p">):</span>
|
||||
<span class="sd">"""</span>
|
||||
<span class="w"> </span><span class="sd">"""</span>
|
||||
<span class="sd"> Creates an outlier greater than the maximum or lower then the minimum previous values of the signal,</span>
|
||||
<span class="sd"> and insert it on a random location of the signal.</span>
|
||||
|
||||
@ -133,7 +133,7 @@
|
||||
<span class="k">return</span> <span class="bp">self</span></div>
|
||||
|
||||
<div class="viewcode-block" id="SignalEmulator.run"><a class="viewcode-back" href="../../../pyFTS.data.html#pyFTS.data.artificial.SignalEmulator.run">[docs]</a> <span class="k">def</span> <span class="nf">run</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
|
||||
<span class="sd">"""</span>
|
||||
<span class="w"> </span><span class="sd">"""</span>
|
||||
<span class="sd"> Render the signal</span>
|
||||
|
||||
<span class="sd"> :return: a list of float values</span>
|
||||
@ -180,7 +180,7 @@
|
||||
<span class="n">_mn</span> <span class="o">=</span> <span class="nb">max</span><span class="p">(</span><span class="n">_mn</span><span class="p">,</span> <span class="n">vmin</span><span class="p">)</span> <span class="k">if</span> <span class="n">vmin</span> <span class="o">></span> <span class="mi">0</span> <span class="k">else</span> <span class="nb">min</span><span class="p">(</span><span class="n">_mn</span><span class="p">,</span> <span class="n">vmin</span><span class="p">)</span>
|
||||
|
||||
<span class="n">start</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">random</span><span class="o">.</span><span class="n">randint</span><span class="p">(</span><span class="mi">0</span><span class="p">,</span> <span class="nb">len</span><span class="p">(</span><span class="n">signal</span><span class="p">))</span>
|
||||
<span class="n">tmp</span> <span class="o">=</span> <span class="p">[</span><span class="n">_mx</span><span class="p">]</span> <span class="k">if</span> <span class="n">np</span><span class="o">.</span><span class="n">random</span><span class="o">.</span><span class="n">rand</span><span class="p">()</span> <span class="o">>=</span> <span class="o">.</span><span class="mi">5</span> <span class="k">else</span> <span class="p">[</span><span class="o">-</span><span class="n">_mn</span><span class="p">]</span>
|
||||
<span class="n">tmp</span> <span class="o">=</span> <span class="p">[</span><span class="n">_mx</span><span class="p">]</span> <span class="k">if</span> <span class="n">np</span><span class="o">.</span><span class="n">random</span><span class="o">.</span><span class="n">rand</span><span class="p">()</span> <span class="o">>=</span> <span class="mf">.5</span> <span class="k">else</span> <span class="p">[</span><span class="o">-</span><span class="n">_mn</span><span class="p">]</span>
|
||||
|
||||
<span class="n">last_num</span> <span class="o">=</span> <span class="n">num</span>
|
||||
<span class="n">last_it</span> <span class="o">=</span> <span class="n">it</span>
|
||||
@ -193,7 +193,7 @@
|
||||
|
||||
|
||||
<div class="viewcode-block" id="generate_gaussian_linear"><a class="viewcode-back" href="../../../pyFTS.data.html#pyFTS.data.artificial.generate_gaussian_linear">[docs]</a><span class="k">def</span> <span class="nf">generate_gaussian_linear</span><span class="p">(</span><span class="n">mu_ini</span><span class="p">,</span> <span class="n">sigma_ini</span><span class="p">,</span> <span class="n">mu_inc</span><span class="p">,</span> <span class="n">sigma_inc</span><span class="p">,</span> <span class="n">it</span><span class="o">=</span><span class="mi">100</span><span class="p">,</span> <span class="n">num</span><span class="o">=</span><span class="mi">10</span><span class="p">,</span> <span class="n">vmin</span><span class="o">=</span><span class="kc">None</span><span class="p">,</span> <span class="n">vmax</span><span class="o">=</span><span class="kc">None</span><span class="p">):</span>
|
||||
<span class="sd">"""</span>
|
||||
<span class="w"> </span><span class="sd">"""</span>
|
||||
<span class="sd"> Generate data sampled from Gaussian distribution, with constant or linear changing parameters</span>
|
||||
|
||||
<span class="sd"> :param mu_ini: Initial mean</span>
|
||||
@ -222,7 +222,7 @@
|
||||
|
||||
|
||||
<div class="viewcode-block" id="generate_linear_periodic_gaussian"><a class="viewcode-back" href="../../../pyFTS.data.html#pyFTS.data.artificial.generate_linear_periodic_gaussian">[docs]</a><span class="k">def</span> <span class="nf">generate_linear_periodic_gaussian</span><span class="p">(</span><span class="n">period</span><span class="p">,</span> <span class="n">mu_min</span><span class="p">,</span> <span class="n">sigma_min</span><span class="p">,</span> <span class="n">mu_max</span><span class="p">,</span> <span class="n">sigma_max</span><span class="p">,</span> <span class="n">it</span><span class="o">=</span><span class="mi">100</span><span class="p">,</span> <span class="n">num</span><span class="o">=</span><span class="mi">10</span><span class="p">,</span> <span class="n">vmin</span><span class="o">=</span><span class="kc">None</span><span class="p">,</span> <span class="n">vmax</span><span class="o">=</span><span class="kc">None</span><span class="p">):</span>
|
||||
<span class="sd">"""</span>
|
||||
<span class="w"> </span><span class="sd">"""</span>
|
||||
<span class="sd"> Generates a periodic linear variation on mean and variance</span>
|
||||
|
||||
<span class="sd"> :param period: the period of recurrence</span>
|
||||
@ -267,7 +267,7 @@
|
||||
|
||||
|
||||
<div class="viewcode-block" id="generate_sinoidal_periodic_gaussian"><a class="viewcode-back" href="../../../pyFTS.data.html#pyFTS.data.artificial.generate_sinoidal_periodic_gaussian">[docs]</a><span class="k">def</span> <span class="nf">generate_sinoidal_periodic_gaussian</span><span class="p">(</span><span class="n">period</span><span class="p">,</span> <span class="n">mu_min</span><span class="p">,</span> <span class="n">sigma_min</span><span class="p">,</span> <span class="n">mu_max</span><span class="p">,</span> <span class="n">sigma_max</span><span class="p">,</span> <span class="n">it</span><span class="o">=</span><span class="mi">100</span><span class="p">,</span> <span class="n">num</span><span class="o">=</span><span class="mi">10</span><span class="p">,</span> <span class="n">vmin</span><span class="o">=</span><span class="kc">None</span><span class="p">,</span> <span class="n">vmax</span><span class="o">=</span><span class="kc">None</span><span class="p">):</span>
|
||||
<span class="sd">"""</span>
|
||||
<span class="w"> </span><span class="sd">"""</span>
|
||||
<span class="sd"> Generates a periodic sinoidal variation on mean and variance</span>
|
||||
|
||||
<span class="sd"> :param period: the period of recurrence</span>
|
||||
@ -304,7 +304,7 @@
|
||||
|
||||
|
||||
<div class="viewcode-block" id="generate_uniform_linear"><a class="viewcode-back" href="../../../pyFTS.data.html#pyFTS.data.artificial.generate_uniform_linear">[docs]</a><span class="k">def</span> <span class="nf">generate_uniform_linear</span><span class="p">(</span><span class="n">min_ini</span><span class="p">,</span> <span class="n">max_ini</span><span class="p">,</span> <span class="n">min_inc</span><span class="p">,</span> <span class="n">max_inc</span><span class="p">,</span> <span class="n">it</span><span class="o">=</span><span class="mi">100</span><span class="p">,</span> <span class="n">num</span><span class="o">=</span><span class="mi">10</span><span class="p">,</span> <span class="n">vmin</span><span class="o">=</span><span class="kc">None</span><span class="p">,</span> <span class="n">vmax</span><span class="o">=</span><span class="kc">None</span><span class="p">):</span>
|
||||
<span class="sd">"""</span>
|
||||
<span class="w"> </span><span class="sd">"""</span>
|
||||
<span class="sd"> Generate data sampled from Uniform distribution, with constant or linear changing bounds</span>
|
||||
|
||||
<span class="sd"> :param mu_ini: Initial mean</span>
|
||||
@ -333,7 +333,7 @@
|
||||
|
||||
|
||||
<div class="viewcode-block" id="white_noise"><a class="viewcode-back" href="../../../pyFTS.data.html#pyFTS.data.artificial.white_noise">[docs]</a><span class="k">def</span> <span class="nf">white_noise</span><span class="p">(</span><span class="n">n</span><span class="o">=</span><span class="mi">500</span><span class="p">):</span>
|
||||
<span class="sd">"""</span>
|
||||
<span class="w"> </span><span class="sd">"""</span>
|
||||
<span class="sd"> Simple Gaussian noise signal</span>
|
||||
<span class="sd"> :param n: number of samples</span>
|
||||
<span class="sd"> :return:</span>
|
||||
@ -342,7 +342,7 @@
|
||||
|
||||
|
||||
<div class="viewcode-block" id="random_walk"><a class="viewcode-back" href="../../../pyFTS.data.html#pyFTS.data.artificial.random_walk">[docs]</a><span class="k">def</span> <span class="nf">random_walk</span><span class="p">(</span><span class="n">n</span><span class="o">=</span><span class="mi">500</span><span class="p">,</span> <span class="nb">type</span><span class="o">=</span><span class="s1">'gaussian'</span><span class="p">):</span>
|
||||
<span class="sd">"""</span>
|
||||
<span class="w"> </span><span class="sd">"""</span>
|
||||
<span class="sd"> Simple random walk</span>
|
||||
|
||||
<span class="sd"> :param n: number of samples</span>
|
||||
@ -421,7 +421,7 @@
|
||||
</div>
|
||||
<div class="footer" role="contentinfo">
|
||||
© Copyright 2022, Machine Intelligence and Data Science Laboratory - UFMG - Brazil.
|
||||
Created using <a href="https://www.sphinx-doc.org/">Sphinx</a> 4.5.0.
|
||||
Created using <a href="https://www.sphinx-doc.org/">Sphinx</a> 4.3.2.
|
||||
</div>
|
||||
</body>
|
||||
</html>
|
||||
@ -48,12 +48,12 @@
|
||||
<span class="kn">import</span> <span class="nn">numpy</span> <span class="k">as</span> <span class="nn">np</span>
|
||||
<span class="kn">import</span> <span class="nn">os</span>
|
||||
<span class="kn">import</span> <span class="nn">pkg_resources</span>
|
||||
<span class="kn">from</span> <span class="nn">pathlib</span> <span class="k">import</span> <span class="n">Path</span>
|
||||
<span class="kn">from</span> <span class="nn">urllib</span> <span class="k">import</span> <span class="n">request</span>
|
||||
<span class="kn">from</span> <span class="nn">pathlib</span> <span class="kn">import</span> <span class="n">Path</span>
|
||||
<span class="kn">from</span> <span class="nn">urllib</span> <span class="kn">import</span> <span class="n">request</span>
|
||||
|
||||
|
||||
<div class="viewcode-block" id="get_dataframe"><a class="viewcode-back" href="../../../pyFTS.data.html#pyFTS.data.common.get_dataframe">[docs]</a><span class="k">def</span> <span class="nf">get_dataframe</span><span class="p">(</span><span class="n">filename</span><span class="p">:</span> <span class="nb">str</span><span class="p">,</span> <span class="n">url</span><span class="p">:</span> <span class="nb">str</span><span class="p">,</span> <span class="n">sep</span><span class="p">:</span><span class="nb">str</span><span class="o">=</span><span class="s2">";"</span><span class="p">,</span> <span class="n">compression</span><span class="p">:</span><span class="nb">str</span><span class="o">=</span><span class="s1">'infer'</span><span class="p">)</span> <span class="o">-></span> <span class="n">pd</span><span class="o">.</span><span class="n">DataFrame</span><span class="p">:</span>
|
||||
<span class="sd">"""</span>
|
||||
<span class="w"> </span><span class="sd">"""</span>
|
||||
<span class="sd"> This method check if filename already exists, read the file and return its data.</span>
|
||||
<span class="sd"> If the file don't already exists, it will be downloaded and decompressed.</span>
|
||||
|
||||
@ -111,7 +111,7 @@
|
||||
</div>
|
||||
<div class="footer" role="contentinfo">
|
||||
© Copyright 2022, Machine Intelligence and Data Science Laboratory - UFMG - Brazil.
|
||||
Created using <a href="https://www.sphinx-doc.org/">Sphinx</a> 4.5.0.
|
||||
Created using <a href="https://www.sphinx-doc.org/">Sphinx</a> 4.3.2.
|
||||
</div>
|
||||
</body>
|
||||
</html>
|
||||
@ -55,7 +55,7 @@
|
||||
|
||||
|
||||
<div class="viewcode-block" id="get_data"><a class="viewcode-back" href="../../../pyFTS.data.html#pyFTS.data.henon.get_data">[docs]</a><span class="k">def</span> <span class="nf">get_data</span><span class="p">(</span><span class="n">var</span><span class="p">:</span> <span class="nb">str</span><span class="p">,</span> <span class="n">a</span><span class="p">:</span><span class="nb">float</span><span class="o">=</span><span class="mf">1.4</span><span class="p">,</span> <span class="n">b</span><span class="p">:</span><span class="nb">float</span><span class="o">=</span><span class="mf">0.3</span><span class="p">,</span> <span class="n">initial_values</span><span class="p">:</span> <span class="nb">list</span> <span class="o">=</span> <span class="p">[</span><span class="mi">1</span><span class="p">,</span> <span class="mi">1</span><span class="p">],</span> <span class="n">iterations</span><span class="p">:</span><span class="nb">int</span><span class="o">=</span><span class="mi">1000</span><span class="p">)</span> <span class="o">-></span> <span class="n">pd</span><span class="o">.</span><span class="n">DataFrame</span><span class="p">:</span>
|
||||
<span class="sd">"""</span>
|
||||
<span class="w"> </span><span class="sd">"""</span>
|
||||
<span class="sd"> Get a simple univariate time series data.</span>
|
||||
|
||||
<span class="sd"> :param var: the dataset field name to extract</span>
|
||||
@ -65,7 +65,7 @@
|
||||
|
||||
|
||||
<div class="viewcode-block" id="get_dataframe"><a class="viewcode-back" href="../../../pyFTS.data.html#pyFTS.data.henon.get_dataframe">[docs]</a><span class="k">def</span> <span class="nf">get_dataframe</span><span class="p">(</span><span class="n">a</span><span class="p">:</span><span class="nb">float</span><span class="o">=</span><span class="mf">1.4</span><span class="p">,</span> <span class="n">b</span><span class="p">:</span><span class="nb">float</span><span class="o">=</span><span class="mf">0.3</span><span class="p">,</span> <span class="n">initial_values</span><span class="p">:</span> <span class="nb">list</span> <span class="o">=</span> <span class="p">[</span><span class="mi">1</span><span class="p">,</span> <span class="mi">1</span><span class="p">],</span> <span class="n">iterations</span><span class="p">:</span><span class="nb">int</span><span class="o">=</span><span class="mi">1000</span><span class="p">)</span> <span class="o">-></span> <span class="n">pd</span><span class="o">.</span><span class="n">DataFrame</span><span class="p">:</span>
|
||||
<span class="sd">'''</span>
|
||||
<span class="w"> </span><span class="sd">'''</span>
|
||||
<span class="sd"> Return a dataframe with the bivariate Henon Map time series (x, y).</span>
|
||||
|
||||
<span class="sd"> :param a: Equation coefficient</span>
|
||||
@ -121,7 +121,7 @@
|
||||
</div>
|
||||
<div class="footer" role="contentinfo">
|
||||
© Copyright 2022, Machine Intelligence and Data Science Laboratory - UFMG - Brazil.
|
||||
Created using <a href="https://www.sphinx-doc.org/">Sphinx</a> 4.5.0.
|
||||
Created using <a href="https://www.sphinx-doc.org/">Sphinx</a> 4.3.2.
|
||||
</div>
|
||||
</body>
|
||||
</html>
|
||||
@ -54,7 +54,7 @@
|
||||
|
||||
|
||||
<div class="viewcode-block" id="get_data"><a class="viewcode-back" href="../../../pyFTS.data.html#pyFTS.data.logistic_map.get_data">[docs]</a><span class="k">def</span> <span class="nf">get_data</span><span class="p">(</span><span class="n">r</span><span class="p">:</span> <span class="nb">float</span> <span class="o">=</span> <span class="mi">4</span><span class="p">,</span> <span class="n">initial_value</span><span class="p">:</span> <span class="nb">float</span> <span class="o">=</span> <span class="mf">0.3</span><span class="p">,</span> <span class="n">iterations</span><span class="p">:</span> <span class="nb">int</span><span class="o">=</span><span class="mi">100</span><span class="p">)</span> <span class="o">-></span> <span class="nb">list</span><span class="p">:</span>
|
||||
<span class="sd">'''</span>
|
||||
<span class="w"> </span><span class="sd">'''</span>
|
||||
<span class="sd"> Return a list with the logistic map chaotic time series.</span>
|
||||
|
||||
<span class="sd"> :param r: Equation coefficient</span>
|
||||
@ -105,7 +105,7 @@
|
||||
</div>
|
||||
<div class="footer" role="contentinfo">
|
||||
© Copyright 2022, Machine Intelligence and Data Science Laboratory - UFMG - Brazil.
|
||||
Created using <a href="https://www.sphinx-doc.org/">Sphinx</a> 4.5.0.
|
||||
Created using <a href="https://www.sphinx-doc.org/">Sphinx</a> 4.3.2.
|
||||
</div>
|
||||
</body>
|
||||
</html>
|
||||
@ -58,7 +58,7 @@
|
||||
|
||||
<div class="viewcode-block" id="get_data"><a class="viewcode-back" href="../../../pyFTS.data.html#pyFTS.data.lorentz.get_data">[docs]</a><span class="k">def</span> <span class="nf">get_data</span><span class="p">(</span><span class="n">var</span><span class="p">:</span> <span class="nb">str</span><span class="p">,</span> <span class="n">a</span><span class="p">:</span> <span class="nb">float</span> <span class="o">=</span> <span class="mf">10.0</span><span class="p">,</span> <span class="n">b</span><span class="p">:</span> <span class="nb">float</span> <span class="o">=</span> <span class="mf">28.0</span><span class="p">,</span> <span class="n">c</span><span class="p">:</span> <span class="nb">float</span> <span class="o">=</span> <span class="mf">8.0</span> <span class="o">/</span> <span class="mf">3.0</span><span class="p">,</span> <span class="n">dt</span><span class="p">:</span> <span class="nb">float</span> <span class="o">=</span> <span class="mf">0.01</span><span class="p">,</span>
|
||||
<span class="n">initial_values</span><span class="p">:</span> <span class="nb">list</span> <span class="o">=</span> <span class="p">[</span><span class="mf">0.1</span><span class="p">,</span> <span class="mi">0</span><span class="p">,</span> <span class="mi">0</span><span class="p">],</span> <span class="n">iterations</span><span class="p">:</span> <span class="nb">int</span><span class="o">=</span><span class="mi">1000</span><span class="p">)</span> <span class="o">-></span> <span class="n">pd</span><span class="o">.</span><span class="n">DataFrame</span><span class="p">:</span>
|
||||
<span class="sd">"""</span>
|
||||
<span class="w"> </span><span class="sd">"""</span>
|
||||
<span class="sd"> Get a simple univariate time series data.</span>
|
||||
|
||||
<span class="sd"> :param var: the dataset field name to extract</span>
|
||||
@ -69,7 +69,7 @@
|
||||
|
||||
<div class="viewcode-block" id="get_dataframe"><a class="viewcode-back" href="../../../pyFTS.data.html#pyFTS.data.lorentz.get_dataframe">[docs]</a><span class="k">def</span> <span class="nf">get_dataframe</span><span class="p">(</span><span class="n">a</span><span class="p">:</span> <span class="nb">float</span> <span class="o">=</span> <span class="mf">10.0</span><span class="p">,</span> <span class="n">b</span><span class="p">:</span> <span class="nb">float</span> <span class="o">=</span> <span class="mf">28.0</span><span class="p">,</span> <span class="n">c</span><span class="p">:</span> <span class="nb">float</span> <span class="o">=</span> <span class="mf">8.0</span> <span class="o">/</span> <span class="mf">3.0</span><span class="p">,</span> <span class="n">dt</span><span class="p">:</span> <span class="nb">float</span> <span class="o">=</span> <span class="mf">0.01</span><span class="p">,</span>
|
||||
<span class="n">initial_values</span><span class="p">:</span> <span class="nb">list</span> <span class="o">=</span> <span class="p">[</span><span class="mf">0.1</span><span class="p">,</span> <span class="mi">0</span><span class="p">,</span> <span class="mi">0</span><span class="p">],</span> <span class="n">iterations</span><span class="p">:</span> <span class="nb">int</span><span class="o">=</span><span class="mi">1000</span><span class="p">)</span><span class="o">-></span> <span class="n">pd</span><span class="o">.</span><span class="n">DataFrame</span><span class="p">:</span>
|
||||
<span class="sd">'''</span>
|
||||
<span class="w"> </span><span class="sd">'''</span>
|
||||
<span class="sd"> Return a dataframe with the multivariate Lorenz Map time series (x, y, z).</span>
|
||||
|
||||
<span class="sd"> :param a: Equation coefficient. Default value: 10</span>
|
||||
@ -132,7 +132,7 @@
|
||||
</div>
|
||||
<div class="footer" role="contentinfo">
|
||||
© Copyright 2022, Machine Intelligence and Data Science Laboratory - UFMG - Brazil.
|
||||
Created using <a href="https://www.sphinx-doc.org/">Sphinx</a> 4.5.0.
|
||||
Created using <a href="https://www.sphinx-doc.org/">Sphinx</a> 4.3.2.
|
||||
</div>
|
||||
</body>
|
||||
</html>
|
||||
@ -54,7 +54,7 @@
|
||||
|
||||
|
||||
<div class="viewcode-block" id="get_data"><a class="viewcode-back" href="../../../pyFTS.data.html#pyFTS.data.mackey_glass.get_data">[docs]</a><span class="k">def</span> <span class="nf">get_data</span><span class="p">(</span><span class="n">b</span><span class="p">:</span> <span class="nb">float</span><span class="o">=</span><span class="mf">0.1</span><span class="p">,</span> <span class="n">c</span><span class="p">:</span> <span class="nb">float</span><span class="o">=</span><span class="mf">0.2</span><span class="p">,</span> <span class="n">tau</span><span class="p">:</span> <span class="nb">float</span> <span class="o">=</span><span class="mi">17</span><span class="p">,</span> <span class="n">initial_values</span><span class="p">:</span> <span class="n">np</span><span class="o">.</span><span class="n">ndarray</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">linspace</span><span class="p">(</span><span class="mf">0.5</span><span class="p">,</span><span class="mf">1.5</span><span class="p">,</span> <span class="mi">18</span><span class="p">),</span> <span class="n">iterations</span><span class="p">:</span> <span class="nb">int</span><span class="o">=</span><span class="mi">1000</span><span class="p">)</span> <span class="o">-></span> <span class="nb">list</span><span class="p">:</span>
|
||||
<span class="sd">'''</span>
|
||||
<span class="w"> </span><span class="sd">'''</span>
|
||||
<span class="sd"> Return a list with the Mackey-Glass chaotic time series.</span>
|
||||
|
||||
<span class="sd"> :param b: Equation coefficient</span>
|
||||
@ -108,7 +108,7 @@
|
||||
</div>
|
||||
<div class="footer" role="contentinfo">
|
||||
© Copyright 2022, Machine Intelligence and Data Science Laboratory - UFMG - Brazil.
|
||||
Created using <a href="https://www.sphinx-doc.org/">Sphinx</a> 4.5.0.
|
||||
Created using <a href="https://www.sphinx-doc.org/">Sphinx</a> 4.3.2.
|
||||
</div>
|
||||
</body>
|
||||
</html>
|
||||
@ -58,7 +58,7 @@
|
||||
|
||||
<div class="viewcode-block" id="get_data"><a class="viewcode-back" href="../../../pyFTS.data.html#pyFTS.data.rossler.get_data">[docs]</a><span class="k">def</span> <span class="nf">get_data</span><span class="p">(</span><span class="n">var</span><span class="p">:</span> <span class="nb">str</span><span class="p">,</span> <span class="n">a</span><span class="p">:</span> <span class="nb">float</span> <span class="o">=</span> <span class="mf">0.2</span><span class="p">,</span> <span class="n">b</span><span class="p">:</span> <span class="nb">float</span> <span class="o">=</span> <span class="mf">0.2</span><span class="p">,</span> <span class="n">c</span><span class="p">:</span> <span class="nb">float</span> <span class="o">=</span> <span class="mf">5.7</span><span class="p">,</span> <span class="n">dt</span><span class="p">:</span> <span class="nb">float</span> <span class="o">=</span> <span class="mf">0.01</span><span class="p">,</span>
|
||||
<span class="n">initial_values</span><span class="p">:</span> <span class="n">np</span><span class="o">.</span><span class="n">ndarray</span> <span class="o">=</span> <span class="p">[</span><span class="mf">0.001</span><span class="p">,</span> <span class="mf">0.001</span><span class="p">,</span> <span class="mf">0.001</span><span class="p">],</span> <span class="n">iterations</span><span class="p">:</span> <span class="nb">int</span><span class="o">=</span><span class="mi">5000</span><span class="p">)</span> <span class="o">-></span> <span class="n">np</span><span class="o">.</span><span class="n">ndarray</span><span class="p">:</span>
|
||||
<span class="sd">"""</span>
|
||||
<span class="w"> </span><span class="sd">"""</span>
|
||||
<span class="sd"> Get a simple univariate time series data.</span>
|
||||
|
||||
<span class="sd"> :param var: the dataset field name to extract</span>
|
||||
@ -69,7 +69,7 @@
|
||||
|
||||
<div class="viewcode-block" id="get_dataframe"><a class="viewcode-back" href="../../../pyFTS.data.html#pyFTS.data.rossler.get_dataframe">[docs]</a><span class="k">def</span> <span class="nf">get_dataframe</span><span class="p">(</span><span class="n">a</span><span class="p">:</span> <span class="nb">float</span> <span class="o">=</span> <span class="mf">0.2</span><span class="p">,</span> <span class="n">b</span><span class="p">:</span> <span class="nb">float</span> <span class="o">=</span> <span class="mf">0.2</span><span class="p">,</span> <span class="n">c</span><span class="p">:</span> <span class="nb">float</span> <span class="o">=</span> <span class="mf">5.7</span><span class="p">,</span> <span class="n">dt</span><span class="p">:</span> <span class="nb">float</span> <span class="o">=</span> <span class="mf">0.01</span><span class="p">,</span>
|
||||
<span class="n">initial_values</span><span class="p">:</span> <span class="n">np</span><span class="o">.</span><span class="n">ndarray</span> <span class="o">=</span> <span class="p">[</span><span class="mf">0.001</span><span class="p">,</span> <span class="mf">0.001</span><span class="p">,</span> <span class="mf">0.001</span><span class="p">],</span> <span class="n">iterations</span><span class="p">:</span> <span class="nb">int</span><span class="o">=</span><span class="mi">5000</span><span class="p">)</span> <span class="o">-></span> <span class="n">pd</span><span class="o">.</span><span class="n">DataFrame</span><span class="p">:</span>
|
||||
<span class="sd">'''</span>
|
||||
<span class="w"> </span><span class="sd">'''</span>
|
||||
<span class="sd"> Return a dataframe with the multivariate Rössler Map time series (x, y, z).</span>
|
||||
|
||||
<span class="sd"> :param a: Equation coefficient. Default value: 0.2</span>
|
||||
@ -132,7 +132,7 @@
|
||||
</div>
|
||||
<div class="footer" role="contentinfo">
|
||||
© Copyright 2022, Machine Intelligence and Data Science Laboratory - UFMG - Brazil.
|
||||
Created using <a href="https://www.sphinx-doc.org/">Sphinx</a> 4.5.0.
|
||||
Created using <a href="https://www.sphinx-doc.org/">Sphinx</a> 4.3.2.
|
||||
</div>
|
||||
</body>
|
||||
</html>
|
||||
@ -49,12 +49,12 @@
|
||||
<span class="sd">Source: https://www.esrl.noaa.gov/psd/gcos_wgsp/Timeseries/SUNSPOT/</span>
|
||||
<span class="sd">"""</span>
|
||||
|
||||
<span class="kn">from</span> <span class="nn">pyFTS.data</span> <span class="k">import</span> <span class="n">common</span>
|
||||
<span class="kn">from</span> <span class="nn">pyFTS.data</span> <span class="kn">import</span> <span class="n">common</span>
|
||||
<span class="kn">import</span> <span class="nn">pandas</span> <span class="k">as</span> <span class="nn">pd</span>
|
||||
<span class="kn">import</span> <span class="nn">numpy</span> <span class="k">as</span> <span class="nn">np</span>
|
||||
|
||||
<div class="viewcode-block" id="get_data"><a class="viewcode-back" href="../../../pyFTS.data.html#pyFTS.data.sunspots.get_data">[docs]</a><span class="k">def</span> <span class="nf">get_data</span><span class="p">()</span> <span class="o">-></span> <span class="n">np</span><span class="o">.</span><span class="n">ndarray</span><span class="p">:</span>
|
||||
<span class="sd">"""</span>
|
||||
<span class="w"> </span><span class="sd">"""</span>
|
||||
<span class="sd"> Get a simple univariate time series data.</span>
|
||||
|
||||
<span class="sd"> :return: numpy array</span>
|
||||
@ -64,7 +64,7 @@
|
||||
<span class="k">return</span> <span class="n">dat</span></div>
|
||||
|
||||
<div class="viewcode-block" id="get_dataframe"><a class="viewcode-back" href="../../../pyFTS.data.html#pyFTS.data.sunspots.get_dataframe">[docs]</a><span class="k">def</span> <span class="nf">get_dataframe</span><span class="p">()</span> <span class="o">-></span> <span class="n">pd</span><span class="o">.</span><span class="n">DataFrame</span><span class="p">:</span>
|
||||
<span class="sd">"""</span>
|
||||
<span class="w"> </span><span class="sd">"""</span>
|
||||
<span class="sd"> Get the complete multivariate time series data.</span>
|
||||
|
||||
<span class="sd"> :return: Pandas DataFrame</span>
|
||||
@ -112,7 +112,7 @@
|
||||
</div>
|
||||
<div class="footer" role="contentinfo">
|
||||
© Copyright 2022, Machine Intelligence and Data Science Laboratory - UFMG - Brazil.
|
||||
Created using <a href="https://www.sphinx-doc.org/">Sphinx</a> 4.5.0.
|
||||
Created using <a href="https://www.sphinx-doc.org/">Sphinx</a> 4.3.2.
|
||||
</div>
|
||||
</body>
|
||||
</html>
|
||||
@ -51,7 +51,7 @@
|
||||
|
||||
|
||||
<div class="viewcode-block" id="open_hyperparam_db"><a class="viewcode-back" href="../../../pyFTS.hyperparam.html#pyFTS.hyperparam.Util.open_hyperparam_db">[docs]</a><span class="k">def</span> <span class="nf">open_hyperparam_db</span><span class="p">(</span><span class="n">name</span><span class="p">):</span>
|
||||
<span class="sd">"""</span>
|
||||
<span class="w"> </span><span class="sd">"""</span>
|
||||
<span class="sd"> Open a connection with a Sqlite database designed to store benchmark results.</span>
|
||||
|
||||
<span class="sd"> :param name: database filenem</span>
|
||||
@ -68,7 +68,7 @@
|
||||
|
||||
|
||||
<div class="viewcode-block" id="create_hyperparam_tables"><a class="viewcode-back" href="../../../pyFTS.hyperparam.html#pyFTS.hyperparam.Util.create_hyperparam_tables">[docs]</a><span class="k">def</span> <span class="nf">create_hyperparam_tables</span><span class="p">(</span><span class="n">conn</span><span class="p">):</span>
|
||||
<span class="sd">"""</span>
|
||||
<span class="w"> </span><span class="sd">"""</span>
|
||||
<span class="sd"> Create a sqlite3 table designed to store benchmark results.</span>
|
||||
|
||||
<span class="sd"> :param conn: a sqlite3 database connection</span>
|
||||
@ -85,7 +85,7 @@
|
||||
|
||||
|
||||
<div class="viewcode-block" id="insert_hyperparam"><a class="viewcode-back" href="../../../pyFTS.hyperparam.html#pyFTS.hyperparam.Util.insert_hyperparam">[docs]</a><span class="k">def</span> <span class="nf">insert_hyperparam</span><span class="p">(</span><span class="n">data</span><span class="p">,</span> <span class="n">conn</span><span class="p">):</span>
|
||||
<span class="sd">"""</span>
|
||||
<span class="w"> </span><span class="sd">"""</span>
|
||||
<span class="sd"> Insert benchmark data on database</span>
|
||||
|
||||
<span class="sd"> :param data: a tuple with the benchmark data with format:</span>
|
||||
@ -151,7 +151,7 @@
|
||||
</div>
|
||||
<div class="footer" role="contentinfo">
|
||||
© Copyright 2022, Machine Intelligence and Data Science Laboratory - UFMG - Brazil.
|
||||
Created using <a href="https://www.sphinx-doc.org/">Sphinx</a> 4.5.0.
|
||||
Created using <a href="https://www.sphinx-doc.org/">Sphinx</a> 4.3.2.
|
||||
</div>
|
||||
</body>
|
||||
</html>
|
||||
@ -46,10 +46,10 @@
|
||||
<span></span>
|
||||
|
||||
<div class="viewcode-block" id="FLR"><a class="viewcode-back" href="../../../../pyFTS.models.multivariate.html#pyFTS.models.multivariate.FLR.FLR">[docs]</a><span class="k">class</span> <span class="nc">FLR</span><span class="p">(</span><span class="nb">object</span><span class="p">):</span>
|
||||
<span class="sd">"""Multivariate Fuzzy Logical Relationship"""</span>
|
||||
<span class="w"> </span><span class="sd">"""Multivariate Fuzzy Logical Relationship"""</span>
|
||||
|
||||
<span class="k">def</span> <span class="nf">__init__</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
|
||||
<span class="sd">"""</span>
|
||||
<span class="k">def</span> <span class="fm">__init__</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
|
||||
<span class="w"> </span><span class="sd">"""</span>
|
||||
<span class="sd"> Creates a Fuzzy Logical Relationship</span>
|
||||
<span class="sd"> :param LHS: Left Hand Side fuzzy set</span>
|
||||
<span class="sd"> :param RHS: Right Hand Side fuzzy set</span>
|
||||
@ -63,7 +63,7 @@
|
||||
<div class="viewcode-block" id="FLR.set_rhs"><a class="viewcode-back" href="../../../../pyFTS.models.multivariate.html#pyFTS.models.multivariate.FLR.FLR.set_rhs">[docs]</a> <span class="k">def</span> <span class="nf">set_rhs</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="nb">set</span><span class="p">):</span>
|
||||
<span class="bp">self</span><span class="o">.</span><span class="n">RHS</span> <span class="o">=</span> <span class="nb">set</span></div>
|
||||
|
||||
<span class="k">def</span> <span class="nf">__str__</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
|
||||
<span class="k">def</span> <span class="fm">__str__</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
|
||||
<span class="k">return</span> <span class="s2">"</span><span class="si">{}</span><span class="s2"> -> </span><span class="si">{}</span><span class="s2">"</span><span class="o">.</span><span class="n">format</span><span class="p">([</span><span class="n">k</span> <span class="k">for</span> <span class="n">k</span> <span class="ow">in</span> <span class="bp">self</span><span class="o">.</span><span class="n">LHS</span><span class="o">.</span><span class="n">values</span><span class="p">()],</span> <span class="bp">self</span><span class="o">.</span><span class="n">RHS</span><span class="p">)</span></div>
|
||||
|
||||
|
||||
@ -106,7 +106,7 @@
|
||||
</div>
|
||||
<div class="footer" role="contentinfo">
|
||||
© Copyright 2022, Machine Intelligence and Data Science Laboratory - UFMG - Brazil.
|
||||
Created using <a href="https://www.sphinx-doc.org/">Sphinx</a> 4.5.0.
|
||||
Created using <a href="https://www.sphinx-doc.org/">Sphinx</a> 4.3.2.
|
||||
</div>
|
||||
</body>
|
||||
</html>
|
||||
@ -45,15 +45,15 @@
|
||||
<h1>Source code for pyFTS.models.multivariate.common</h1><div class="highlight"><pre>
|
||||
<span></span><span class="kn">import</span> <span class="nn">numpy</span> <span class="k">as</span> <span class="nn">np</span>
|
||||
<span class="kn">import</span> <span class="nn">pandas</span> <span class="k">as</span> <span class="nn">pd</span>
|
||||
<span class="kn">from</span> <span class="nn">pyFTS.common</span> <span class="k">import</span> <span class="n">FuzzySet</span><span class="p">,</span> <span class="n">Composite</span>
|
||||
<span class="kn">from</span> <span class="nn">pyFTS.common</span> <span class="kn">import</span> <span class="n">FuzzySet</span><span class="p">,</span> <span class="n">Composite</span>
|
||||
|
||||
|
||||
<div class="viewcode-block" id="MultivariateFuzzySet"><a class="viewcode-back" href="../../../../pyFTS.models.multivariate.html#pyFTS.models.multivariate.common.MultivariateFuzzySet">[docs]</a><span class="k">class</span> <span class="nc">MultivariateFuzzySet</span><span class="p">(</span><span class="n">Composite</span><span class="o">.</span><span class="n">FuzzySet</span><span class="p">):</span>
|
||||
<span class="sd">"""</span>
|
||||
<span class="w"> </span><span class="sd">"""</span>
|
||||
<span class="sd"> Multivariate Composite Fuzzy Set</span>
|
||||
<span class="sd"> """</span>
|
||||
<span class="k">def</span> <span class="nf">__init__</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="o">**</span><span class="n">kwargs</span><span class="p">):</span>
|
||||
<span class="sd">"""</span>
|
||||
<span class="k">def</span> <span class="fm">__init__</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="o">**</span><span class="n">kwargs</span><span class="p">):</span>
|
||||
<span class="w"> </span><span class="sd">"""</span>
|
||||
<span class="sd"> Create an empty composite fuzzy set</span>
|
||||
<span class="sd"> :param name: fuzzy set name</span>
|
||||
<span class="sd"> """</span>
|
||||
@ -62,7 +62,7 @@
|
||||
<span class="bp">self</span><span class="o">.</span><span class="n">target_variable</span> <span class="o">=</span> <span class="n">kwargs</span><span class="o">.</span><span class="n">get</span><span class="p">(</span><span class="s1">'target_variable'</span><span class="p">,</span><span class="kc">None</span><span class="p">)</span>
|
||||
|
||||
<div class="viewcode-block" id="MultivariateFuzzySet.append_set"><a class="viewcode-back" href="../../../../pyFTS.models.multivariate.html#pyFTS.models.multivariate.common.MultivariateFuzzySet.append_set">[docs]</a> <span class="k">def</span> <span class="nf">append_set</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">variable</span><span class="p">,</span> <span class="nb">set</span><span class="p">):</span>
|
||||
<span class="sd">"""</span>
|
||||
<span class="w"> </span><span class="sd">"""</span>
|
||||
<span class="sd"> Appends a new fuzzy set from a new variable</span>
|
||||
|
||||
<span class="sd"> :param variable: an multivariate.variable instance</span>
|
||||
@ -158,7 +158,7 @@
|
||||
</div>
|
||||
<div class="footer" role="contentinfo">
|
||||
© Copyright 2022, Machine Intelligence and Data Science Laboratory - UFMG - Brazil.
|
||||
Created using <a href="https://www.sphinx-doc.org/">Sphinx</a> 4.5.0.
|
||||
Created using <a href="https://www.sphinx-doc.org/">Sphinx</a> 4.3.2.
|
||||
</div>
|
||||
</body>
|
||||
</html>
|
||||
@ -45,15 +45,15 @@
|
||||
<h1>Source code for pyFTS.models.multivariate.flrg</h1><div class="highlight"><pre>
|
||||
<span></span>
|
||||
<span class="kn">import</span> <span class="nn">numpy</span> <span class="k">as</span> <span class="nn">np</span>
|
||||
<span class="kn">from</span> <span class="nn">pyFTS.common</span> <span class="k">import</span> <span class="n">flrg</span> <span class="k">as</span> <span class="n">flg</span>
|
||||
<span class="kn">from</span> <span class="nn">pyFTS.common</span> <span class="kn">import</span> <span class="n">flrg</span> <span class="k">as</span> <span class="n">flg</span>
|
||||
|
||||
|
||||
<div class="viewcode-block" id="FLRG"><a class="viewcode-back" href="../../../../pyFTS.models.multivariate.html#pyFTS.models.multivariate.flrg.FLRG">[docs]</a><span class="k">class</span> <span class="nc">FLRG</span><span class="p">(</span><span class="n">flg</span><span class="o">.</span><span class="n">FLRG</span><span class="p">):</span>
|
||||
<span class="sd">"""</span>
|
||||
<span class="w"> </span><span class="sd">"""</span>
|
||||
<span class="sd"> Multivariate Fuzzy Logical Rule Group</span>
|
||||
<span class="sd"> """</span>
|
||||
|
||||
<span class="k">def</span> <span class="nf">__init__</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="o">**</span><span class="n">kwargs</span><span class="p">):</span>
|
||||
<span class="k">def</span> <span class="fm">__init__</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="o">**</span><span class="n">kwargs</span><span class="p">):</span>
|
||||
<span class="nb">super</span><span class="p">(</span><span class="n">FLRG</span><span class="p">,</span><span class="bp">self</span><span class="p">)</span><span class="o">.</span><span class="fm">__init__</span><span class="p">(</span><span class="mi">0</span><span class="p">,</span><span class="o">**</span><span class="n">kwargs</span><span class="p">)</span>
|
||||
<span class="bp">self</span><span class="o">.</span><span class="n">order</span> <span class="o">=</span> <span class="n">kwargs</span><span class="o">.</span><span class="n">get</span><span class="p">(</span><span class="s1">'order'</span><span class="p">,</span> <span class="mi">1</span><span class="p">)</span>
|
||||
<span class="bp">self</span><span class="o">.</span><span class="n">LHS</span> <span class="o">=</span> <span class="n">kwargs</span><span class="o">.</span><span class="n">get</span><span class="p">(</span><span class="s1">'lhs'</span><span class="p">,</span> <span class="p">{})</span>
|
||||
@ -90,7 +90,7 @@
|
||||
|
||||
<span class="k">return</span> <span class="bp">self</span><span class="o">.</span><span class="n">upper</span></div>
|
||||
|
||||
<span class="k">def</span> <span class="nf">__str__</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
|
||||
<span class="k">def</span> <span class="fm">__str__</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
|
||||
<span class="n">_str</span> <span class="o">=</span> <span class="s2">""</span>
|
||||
<span class="k">for</span> <span class="n">k</span> <span class="ow">in</span> <span class="bp">self</span><span class="o">.</span><span class="n">RHS</span><span class="p">:</span>
|
||||
<span class="n">_str</span> <span class="o">+=</span> <span class="s2">","</span> <span class="k">if</span> <span class="nb">len</span><span class="p">(</span><span class="n">_str</span><span class="p">)</span> <span class="o">></span> <span class="mi">0</span> <span class="k">else</span> <span class="s2">""</span>
|
||||
@ -135,7 +135,7 @@
|
||||
</div>
|
||||
<div class="footer" role="contentinfo">
|
||||
© Copyright 2022, Machine Intelligence and Data Science Laboratory - UFMG - Brazil.
|
||||
Created using <a href="https://www.sphinx-doc.org/">Sphinx</a> 4.5.0.
|
||||
Created using <a href="https://www.sphinx-doc.org/">Sphinx</a> 4.3.2.
|
||||
</div>
|
||||
</body>
|
||||
</html>
|
||||
@ -43,20 +43,20 @@
|
||||
<div class="body" role="main">
|
||||
|
||||
<h1>Source code for pyFTS.models.multivariate.grid</h1><div class="highlight"><pre>
|
||||
<span></span><span class="kn">from</span> <span class="nn">pyFTS.models.multivariate</span> <span class="k">import</span> <span class="n">partitioner</span>
|
||||
<span class="kn">from</span> <span class="nn">pyFTS.models.multivariate.common</span> <span class="k">import</span> <span class="n">MultivariateFuzzySet</span><span class="p">,</span> <span class="n">fuzzyfy_instance_clustered</span>
|
||||
<span class="kn">from</span> <span class="nn">itertools</span> <span class="k">import</span> <span class="n">product</span>
|
||||
<span class="kn">from</span> <span class="nn">scipy.spatial</span> <span class="k">import</span> <span class="n">KDTree</span>
|
||||
<span></span><span class="kn">from</span> <span class="nn">pyFTS.models.multivariate</span> <span class="kn">import</span> <span class="n">partitioner</span>
|
||||
<span class="kn">from</span> <span class="nn">pyFTS.models.multivariate.common</span> <span class="kn">import</span> <span class="n">MultivariateFuzzySet</span><span class="p">,</span> <span class="n">fuzzyfy_instance_clustered</span>
|
||||
<span class="kn">from</span> <span class="nn">itertools</span> <span class="kn">import</span> <span class="n">product</span>
|
||||
<span class="kn">from</span> <span class="nn">scipy.spatial</span> <span class="kn">import</span> <span class="n">KDTree</span>
|
||||
<span class="kn">import</span> <span class="nn">numpy</span> <span class="k">as</span> <span class="nn">np</span>
|
||||
<span class="kn">import</span> <span class="nn">pandas</span> <span class="k">as</span> <span class="nn">pd</span>
|
||||
|
||||
|
||||
<div class="viewcode-block" id="GridCluster"><a class="viewcode-back" href="../../../../pyFTS.models.multivariate.html#pyFTS.models.multivariate.grid.GridCluster">[docs]</a><span class="k">class</span> <span class="nc">GridCluster</span><span class="p">(</span><span class="n">partitioner</span><span class="o">.</span><span class="n">MultivariatePartitioner</span><span class="p">):</span>
|
||||
<span class="sd">"""</span>
|
||||
<span class="w"> </span><span class="sd">"""</span>
|
||||
<span class="sd"> A cartesian product of all fuzzy sets of all variables</span>
|
||||
<span class="sd"> """</span>
|
||||
|
||||
<span class="k">def</span> <span class="nf">__init__</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="o">**</span><span class="n">kwargs</span><span class="p">):</span>
|
||||
<span class="k">def</span> <span class="fm">__init__</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="o">**</span><span class="n">kwargs</span><span class="p">):</span>
|
||||
<span class="nb">super</span><span class="p">(</span><span class="n">GridCluster</span><span class="p">,</span> <span class="bp">self</span><span class="p">)</span><span class="o">.</span><span class="fm">__init__</span><span class="p">(</span><span class="o">**</span><span class="n">kwargs</span><span class="p">)</span>
|
||||
<span class="bp">self</span><span class="o">.</span><span class="n">name</span><span class="o">=</span><span class="s2">"GridCluster"</span>
|
||||
<span class="bp">self</span><span class="o">.</span><span class="n">build</span><span class="p">(</span><span class="kc">None</span><span class="p">)</span>
|
||||
@ -106,12 +106,12 @@
|
||||
|
||||
|
||||
<div class="viewcode-block" id="IncrementalGridCluster"><a class="viewcode-back" href="../../../../pyFTS.models.multivariate.html#pyFTS.models.multivariate.grid.IncrementalGridCluster">[docs]</a><span class="k">class</span> <span class="nc">IncrementalGridCluster</span><span class="p">(</span><span class="n">partitioner</span><span class="o">.</span><span class="n">MultivariatePartitioner</span><span class="p">):</span>
|
||||
<span class="sd">"""</span>
|
||||
<span class="w"> </span><span class="sd">"""</span>
|
||||
<span class="sd"> Create combinations of fuzzy sets of the variables on demand, incrementally increasing the</span>
|
||||
<span class="sd"> multivariate fuzzy set base.</span>
|
||||
<span class="sd"> """</span>
|
||||
|
||||
<span class="k">def</span> <span class="nf">__init__</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="o">**</span><span class="n">kwargs</span><span class="p">):</span>
|
||||
<span class="k">def</span> <span class="fm">__init__</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="o">**</span><span class="n">kwargs</span><span class="p">):</span>
|
||||
<span class="nb">super</span><span class="p">(</span><span class="n">IncrementalGridCluster</span><span class="p">,</span> <span class="bp">self</span><span class="p">)</span><span class="o">.</span><span class="fm">__init__</span><span class="p">(</span><span class="o">**</span><span class="n">kwargs</span><span class="p">)</span>
|
||||
<span class="bp">self</span><span class="o">.</span><span class="n">name</span><span class="o">=</span><span class="s2">"IncrementalGridCluster"</span>
|
||||
<span class="bp">self</span><span class="o">.</span><span class="n">build</span><span class="p">(</span><span class="kc">None</span><span class="p">)</span>
|
||||
@ -219,7 +219,7 @@
|
||||
</div>
|
||||
<div class="footer" role="contentinfo">
|
||||
© Copyright 2022, Machine Intelligence and Data Science Laboratory - UFMG - Brazil.
|
||||
Created using <a href="https://www.sphinx-doc.org/">Sphinx</a> 4.5.0.
|
||||
Created using <a href="https://www.sphinx-doc.org/">Sphinx</a> 4.3.2.
|
||||
</div>
|
||||
</body>
|
||||
</html>
|
||||
@ -43,20 +43,20 @@
|
||||
<div class="body" role="main">
|
||||
|
||||
<h1>Source code for pyFTS.models.multivariate.partitioner</h1><div class="highlight"><pre>
|
||||
<span></span><span class="kn">from</span> <span class="nn">pyFTS.partitioners</span> <span class="k">import</span> <span class="n">partitioner</span>
|
||||
<span class="kn">from</span> <span class="nn">pyFTS.models.multivariate.common</span> <span class="k">import</span> <span class="n">MultivariateFuzzySet</span><span class="p">,</span> <span class="n">fuzzyfy_instance_clustered</span>
|
||||
<span class="kn">from</span> <span class="nn">itertools</span> <span class="k">import</span> <span class="n">product</span>
|
||||
<span class="kn">from</span> <span class="nn">scipy.spatial</span> <span class="k">import</span> <span class="n">KDTree</span>
|
||||
<span></span><span class="kn">from</span> <span class="nn">pyFTS.partitioners</span> <span class="kn">import</span> <span class="n">partitioner</span>
|
||||
<span class="kn">from</span> <span class="nn">pyFTS.models.multivariate.common</span> <span class="kn">import</span> <span class="n">MultivariateFuzzySet</span><span class="p">,</span> <span class="n">fuzzyfy_instance_clustered</span>
|
||||
<span class="kn">from</span> <span class="nn">itertools</span> <span class="kn">import</span> <span class="n">product</span>
|
||||
<span class="kn">from</span> <span class="nn">scipy.spatial</span> <span class="kn">import</span> <span class="n">KDTree</span>
|
||||
<span class="kn">import</span> <span class="nn">numpy</span> <span class="k">as</span> <span class="nn">np</span>
|
||||
<span class="kn">import</span> <span class="nn">pandas</span> <span class="k">as</span> <span class="nn">pd</span>
|
||||
|
||||
|
||||
<div class="viewcode-block" id="MultivariatePartitioner"><a class="viewcode-back" href="../../../../pyFTS.models.multivariate.html#pyFTS.models.multivariate.partitioner.MultivariatePartitioner">[docs]</a><span class="k">class</span> <span class="nc">MultivariatePartitioner</span><span class="p">(</span><span class="n">partitioner</span><span class="o">.</span><span class="n">Partitioner</span><span class="p">):</span>
|
||||
<span class="sd">"""</span>
|
||||
<span class="w"> </span><span class="sd">"""</span>
|
||||
<span class="sd"> Base class for partitioners which use the MultivariateFuzzySet</span>
|
||||
<span class="sd"> """</span>
|
||||
|
||||
<span class="k">def</span> <span class="nf">__init__</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="o">**</span><span class="n">kwargs</span><span class="p">):</span>
|
||||
<span class="k">def</span> <span class="fm">__init__</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="o">**</span><span class="n">kwargs</span><span class="p">):</span>
|
||||
<span class="nb">super</span><span class="p">(</span><span class="n">MultivariatePartitioner</span><span class="p">,</span> <span class="bp">self</span><span class="p">)</span><span class="o">.</span><span class="fm">__init__</span><span class="p">(</span><span class="n">name</span><span class="o">=</span><span class="s2">"MultivariatePartitioner"</span><span class="p">,</span> <span class="n">preprocess</span><span class="o">=</span><span class="kc">False</span><span class="p">,</span> <span class="o">**</span><span class="n">kwargs</span><span class="p">)</span>
|
||||
|
||||
<span class="bp">self</span><span class="o">.</span><span class="n">type</span> <span class="o">=</span> <span class="s1">'multivariate'</span>
|
||||
@ -103,7 +103,7 @@
|
||||
<span class="bp">self</span><span class="o">.</span><span class="n">build_index</span><span class="p">()</span></div>
|
||||
|
||||
<div class="viewcode-block" id="MultivariatePartitioner.search"><a class="viewcode-back" href="../../../../pyFTS.models.multivariate.html#pyFTS.models.multivariate.partitioner.MultivariatePartitioner.search">[docs]</a> <span class="k">def</span> <span class="nf">search</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">data</span><span class="p">,</span> <span class="o">**</span><span class="n">kwargs</span><span class="p">):</span>
|
||||
<span class="sd">"""</span>
|
||||
<span class="w"> </span><span class="sd">"""</span>
|
||||
<span class="sd"> Perform a search for the nearest fuzzy sets of the point 'data'. This function were designed to work with several</span>
|
||||
<span class="sd"> overlapped fuzzy sets.</span>
|
||||
|
||||
@ -201,7 +201,7 @@
|
||||
</div>
|
||||
<div class="footer" role="contentinfo">
|
||||
© Copyright 2022, Machine Intelligence and Data Science Laboratory - UFMG - Brazil.
|
||||
Created using <a href="https://www.sphinx-doc.org/">Sphinx</a> 4.5.0.
|
||||
Created using <a href="https://www.sphinx-doc.org/">Sphinx</a> 4.3.2.
|
||||
</div>
|
||||
</body>
|
||||
</html>
|
||||
@ -51,37 +51,37 @@
|
||||
<span class="sd">"""</span>
|
||||
|
||||
<span class="kn">import</span> <span class="nn">numpy</span> <span class="k">as</span> <span class="nn">np</span>
|
||||
<span class="kn">from</span> <span class="nn">pyFTS</span> <span class="k">import</span> <span class="o">*</span>
|
||||
<span class="kn">from</span> <span class="nn">pyFTS.common</span> <span class="k">import</span> <span class="n">FuzzySet</span> <span class="k">as</span> <span class="n">FS</span><span class="p">,</span> <span class="n">Membership</span><span class="p">,</span> <span class="n">FLR</span>
|
||||
<span class="kn">from</span> <span class="nn">pyFTS.partitioners</span> <span class="k">import</span> <span class="n">partitioner</span>
|
||||
<span class="kn">from</span> <span class="nn">pyFTS.models.nonstationary</span> <span class="k">import</span> <span class="n">perturbation</span>
|
||||
<span class="kn">from</span> <span class="nn">pyFTS</span> <span class="kn">import</span> <span class="o">*</span>
|
||||
<span class="kn">from</span> <span class="nn">pyFTS.common</span> <span class="kn">import</span> <span class="n">FuzzySet</span> <span class="k">as</span> <span class="n">FS</span><span class="p">,</span> <span class="n">Membership</span><span class="p">,</span> <span class="n">FLR</span>
|
||||
<span class="kn">from</span> <span class="nn">pyFTS.partitioners</span> <span class="kn">import</span> <span class="n">partitioner</span>
|
||||
<span class="kn">from</span> <span class="nn">pyFTS.models.nonstationary</span> <span class="kn">import</span> <span class="n">perturbation</span>
|
||||
|
||||
|
||||
<div class="viewcode-block" id="FuzzySet"><a class="viewcode-back" href="../../../../pyFTS.models.nonstationary.html#pyFTS.models.nonstationary.common.FuzzySet">[docs]</a><span class="k">class</span> <span class="nc">FuzzySet</span><span class="p">(</span><span class="n">FS</span><span class="o">.</span><span class="n">FuzzySet</span><span class="p">):</span>
|
||||
<span class="sd">"""</span>
|
||||
<span class="w"> </span><span class="sd">"""</span>
|
||||
<span class="sd"> Non Stationary Fuzzy Sets</span>
|
||||
<span class="sd"> """</span>
|
||||
|
||||
<span class="k">def</span> <span class="nf">__init__</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">name</span><span class="p">,</span> <span class="n">mf</span><span class="p">,</span> <span class="n">parameters</span><span class="p">,</span> <span class="o">**</span><span class="n">kwargs</span><span class="p">):</span>
|
||||
<span class="sd">"""</span>
|
||||
<span class="k">def</span> <span class="fm">__init__</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">name</span><span class="p">,</span> <span class="n">mf</span><span class="p">,</span> <span class="n">parameters</span><span class="p">,</span> <span class="o">**</span><span class="n">kwargs</span><span class="p">):</span>
|
||||
<span class="w"> </span><span class="sd">"""</span>
|
||||
<span class="sd"> Constructor</span>
|
||||
<span class="sd"> """</span>
|
||||
<span class="nb">super</span><span class="p">(</span><span class="n">FuzzySet</span><span class="p">,</span> <span class="bp">self</span><span class="p">)</span><span class="o">.</span><span class="fm">__init__</span><span class="p">(</span><span class="n">name</span><span class="o">=</span><span class="n">name</span><span class="p">,</span> <span class="n">mf</span><span class="o">=</span><span class="n">mf</span><span class="p">,</span> <span class="n">parameters</span><span class="o">=</span><span class="n">parameters</span><span class="p">,</span> <span class="n">centroid</span><span class="o">=</span><span class="kc">None</span><span class="p">,</span> <span class="n">alpha</span><span class="o">=</span><span class="mf">1.0</span><span class="p">,</span> <span class="o">**</span><span class="n">kwargs</span><span class="p">)</span>
|
||||
|
||||
<span class="bp">self</span><span class="o">.</span><span class="n">location</span> <span class="o">=</span> <span class="n">kwargs</span><span class="o">.</span><span class="n">get</span><span class="p">(</span><span class="s2">"location"</span><span class="p">,</span> <span class="kc">None</span><span class="p">)</span>
|
||||
<span class="sd">"""Pertubation function that affects the location of the membership function"""</span>
|
||||
<span class="w"> </span><span class="sd">"""Pertubation function that affects the location of the membership function"""</span>
|
||||
<span class="bp">self</span><span class="o">.</span><span class="n">location_params</span> <span class="o">=</span> <span class="n">kwargs</span><span class="o">.</span><span class="n">get</span><span class="p">(</span><span class="s2">"location_params"</span><span class="p">,</span> <span class="kc">None</span><span class="p">)</span>
|
||||
<span class="sd">"""Parameters for location pertubation function"""</span>
|
||||
<span class="w"> </span><span class="sd">"""Parameters for location pertubation function"""</span>
|
||||
<span class="bp">self</span><span class="o">.</span><span class="n">location_roots</span> <span class="o">=</span> <span class="n">kwargs</span><span class="o">.</span><span class="n">get</span><span class="p">(</span><span class="s2">"location_roots"</span><span class="p">,</span> <span class="mi">0</span><span class="p">)</span>
|
||||
<span class="bp">self</span><span class="o">.</span><span class="n">width</span> <span class="o">=</span> <span class="n">kwargs</span><span class="o">.</span><span class="n">get</span><span class="p">(</span><span class="s2">"width"</span><span class="p">,</span> <span class="kc">None</span><span class="p">)</span>
|
||||
<span class="sd">"""Pertubation function that affects the width of the membership function"""</span>
|
||||
<span class="w"> </span><span class="sd">"""Pertubation function that affects the width of the membership function"""</span>
|
||||
<span class="bp">self</span><span class="o">.</span><span class="n">width_params</span> <span class="o">=</span> <span class="n">kwargs</span><span class="o">.</span><span class="n">get</span><span class="p">(</span><span class="s2">"width_params"</span><span class="p">,</span> <span class="kc">None</span><span class="p">)</span>
|
||||
<span class="sd">"""Parameters for width pertubation function"""</span>
|
||||
<span class="w"> </span><span class="sd">"""Parameters for width pertubation function"""</span>
|
||||
<span class="bp">self</span><span class="o">.</span><span class="n">width_roots</span> <span class="o">=</span> <span class="n">kwargs</span><span class="o">.</span><span class="n">get</span><span class="p">(</span><span class="s2">"width_roots"</span><span class="p">,</span> <span class="mi">0</span><span class="p">)</span>
|
||||
<span class="bp">self</span><span class="o">.</span><span class="n">noise</span> <span class="o">=</span> <span class="n">kwargs</span><span class="o">.</span><span class="n">get</span><span class="p">(</span><span class="s2">"noise"</span><span class="p">,</span> <span class="kc">None</span><span class="p">)</span>
|
||||
<span class="sd">"""Pertubation function that adds noise on the membership function"""</span>
|
||||
<span class="w"> </span><span class="sd">"""Pertubation function that adds noise on the membership function"""</span>
|
||||
<span class="bp">self</span><span class="o">.</span><span class="n">noise_params</span> <span class="o">=</span> <span class="n">kwargs</span><span class="o">.</span><span class="n">get</span><span class="p">(</span><span class="s2">"noise_params"</span><span class="p">,</span> <span class="kc">None</span><span class="p">)</span>
|
||||
<span class="sd">"""Parameters for noise pertubation function"""</span>
|
||||
<span class="w"> </span><span class="sd">"""Parameters for noise pertubation function"""</span>
|
||||
<span class="bp">self</span><span class="o">.</span><span class="n">perturbated_parameters</span> <span class="o">=</span> <span class="p">{}</span>
|
||||
<span class="bp">self</span><span class="o">.</span><span class="n">type</span> <span class="o">=</span> <span class="s1">'nonstationary'</span>
|
||||
|
||||
@ -141,7 +141,7 @@
|
||||
<span class="k">return</span> <span class="n">param</span></div>
|
||||
|
||||
<div class="viewcode-block" id="FuzzySet.membership"><a class="viewcode-back" href="../../../../pyFTS.models.nonstationary.html#pyFTS.models.nonstationary.common.FuzzySet.membership">[docs]</a> <span class="k">def</span> <span class="nf">membership</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">x</span><span class="p">,</span> <span class="n">t</span><span class="p">):</span>
|
||||
<span class="sd">"""</span>
|
||||
<span class="w"> </span><span class="sd">"""</span>
|
||||
<span class="sd"> Calculate the membership value of a given input</span>
|
||||
|
||||
<span class="sd"> :param x: input value</span>
|
||||
@ -217,7 +217,7 @@
|
||||
<span class="k">else</span><span class="p">:</span>
|
||||
<span class="k">return</span> <span class="n">param</span></div>
|
||||
|
||||
<span class="k">def</span> <span class="nf">__str__</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
|
||||
<span class="k">def</span> <span class="fm">__str__</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
|
||||
<span class="n">tmp</span> <span class="o">=</span> <span class="s2">""</span>
|
||||
<span class="k">if</span> <span class="bp">self</span><span class="o">.</span><span class="n">location</span> <span class="ow">is</span> <span class="ow">not</span> <span class="kc">None</span><span class="p">:</span>
|
||||
<span class="n">tmp</span> <span class="o">+=</span> <span class="s2">"Location: "</span>
|
||||
@ -232,7 +232,7 @@
|
||||
|
||||
|
||||
<div class="viewcode-block" id="fuzzify"><a class="viewcode-back" href="../../../../pyFTS.models.nonstationary.html#pyFTS.models.nonstationary.common.fuzzify">[docs]</a><span class="k">def</span> <span class="nf">fuzzify</span><span class="p">(</span><span class="n">inst</span><span class="p">,</span> <span class="n">t</span><span class="p">,</span> <span class="n">fuzzySets</span><span class="p">):</span>
|
||||
<span class="sd">"""</span>
|
||||
<span class="w"> </span><span class="sd">"""</span>
|
||||
<span class="sd"> Calculate the membership values for a data point given nonstationary fuzzy sets</span>
|
||||
|
||||
<span class="sd"> :param inst: data points</span>
|
||||
@ -323,7 +323,7 @@
|
||||
</div>
|
||||
<div class="footer" role="contentinfo">
|
||||
© Copyright 2022, Machine Intelligence and Data Science Laboratory - UFMG - Brazil.
|
||||
Created using <a href="https://www.sphinx-doc.org/">Sphinx</a> 4.5.0.
|
||||
Created using <a href="https://www.sphinx-doc.org/">Sphinx</a> 4.3.2.
|
||||
</div>
|
||||
</body>
|
||||
</html>
|
||||
@ -44,8 +44,8 @@
|
||||
|
||||
<h1>Source code for pyFTS.models.nonstationary.flrg</h1><div class="highlight"><pre>
|
||||
<span></span>
|
||||
<span class="kn">from</span> <span class="nn">pyFTS.common</span> <span class="k">import</span> <span class="n">flrg</span>
|
||||
<span class="kn">from</span> <span class="nn">pyFTS.models.nonstationary</span> <span class="k">import</span> <span class="n">common</span>
|
||||
<span class="kn">from</span> <span class="nn">pyFTS.common</span> <span class="kn">import</span> <span class="n">flrg</span>
|
||||
<span class="kn">from</span> <span class="nn">pyFTS.models.nonstationary</span> <span class="kn">import</span> <span class="n">common</span>
|
||||
<span class="kn">import</span> <span class="nn">numpy</span> <span class="k">as</span> <span class="nn">np</span>
|
||||
|
||||
|
||||
@ -63,7 +63,7 @@
|
||||
|
||||
<span class="k">return</span> <span class="p">(</span><span class="n">sets</span><span class="p">,</span> <span class="n">t</span><span class="p">,</span> <span class="n">w</span><span class="p">)</span></div>
|
||||
|
||||
<span class="k">def</span> <span class="nf">__init__</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">LHS</span><span class="p">,</span> <span class="o">**</span><span class="n">kwargs</span><span class="p">):</span>
|
||||
<span class="k">def</span> <span class="fm">__init__</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">LHS</span><span class="p">,</span> <span class="o">**</span><span class="n">kwargs</span><span class="p">):</span>
|
||||
<span class="nb">super</span><span class="p">(</span><span class="n">NonStationaryFLRG</span><span class="p">,</span> <span class="bp">self</span><span class="p">)</span><span class="o">.</span><span class="fm">__init__</span><span class="p">(</span><span class="mi">1</span><span class="p">,</span> <span class="o">**</span><span class="n">kwargs</span><span class="p">)</span>
|
||||
<span class="bp">self</span><span class="o">.</span><span class="n">LHS</span> <span class="o">=</span> <span class="n">LHS</span>
|
||||
<span class="bp">self</span><span class="o">.</span><span class="n">RHS</span> <span class="o">=</span> <span class="nb">set</span><span class="p">()</span>
|
||||
@ -154,7 +154,7 @@
|
||||
</div>
|
||||
<div class="footer" role="contentinfo">
|
||||
© Copyright 2022, Machine Intelligence and Data Science Laboratory - UFMG - Brazil.
|
||||
Created using <a href="https://www.sphinx-doc.org/">Sphinx</a> 4.5.0.
|
||||
Created using <a href="https://www.sphinx-doc.org/">Sphinx</a> 4.3.2.
|
||||
</div>
|
||||
</body>
|
||||
</html>
|
||||
@ -44,18 +44,18 @@
|
||||
|
||||
<h1>Source code for pyFTS.models.nonstationary.partitioners</h1><div class="highlight"><pre>
|
||||
<span></span><span class="kn">import</span> <span class="nn">numpy</span> <span class="k">as</span> <span class="nn">np</span>
|
||||
<span class="kn">from</span> <span class="nn">pyFTS.partitioners</span> <span class="k">import</span> <span class="n">partitioner</span>
|
||||
<span class="kn">from</span> <span class="nn">pyFTS.models.nonstationary</span> <span class="k">import</span> <span class="n">common</span><span class="p">,</span> <span class="n">perturbation</span>
|
||||
<span class="kn">from</span> <span class="nn">pyFTS.common</span> <span class="k">import</span> <span class="n">FuzzySet</span> <span class="k">as</span> <span class="n">stationary_fs</span>
|
||||
<span class="kn">from</span> <span class="nn">pyFTS.partitioners</span> <span class="kn">import</span> <span class="n">partitioner</span>
|
||||
<span class="kn">from</span> <span class="nn">pyFTS.models.nonstationary</span> <span class="kn">import</span> <span class="n">common</span><span class="p">,</span> <span class="n">perturbation</span>
|
||||
<span class="kn">from</span> <span class="nn">pyFTS.common</span> <span class="kn">import</span> <span class="n">FuzzySet</span> <span class="k">as</span> <span class="n">stationary_fs</span>
|
||||
|
||||
|
||||
<div class="viewcode-block" id="PolynomialNonStationaryPartitioner"><a class="viewcode-back" href="../../../../pyFTS.models.nonstationary.html#pyFTS.models.nonstationary.partitioners.PolynomialNonStationaryPartitioner">[docs]</a><span class="k">class</span> <span class="nc">PolynomialNonStationaryPartitioner</span><span class="p">(</span><span class="n">partitioner</span><span class="o">.</span><span class="n">Partitioner</span><span class="p">):</span>
|
||||
<span class="sd">"""</span>
|
||||
<span class="w"> </span><span class="sd">"""</span>
|
||||
<span class="sd"> Non Stationary Universe of Discourse Partitioner</span>
|
||||
<span class="sd"> """</span>
|
||||
|
||||
<span class="k">def</span> <span class="nf">__init__</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">data</span><span class="p">,</span> <span class="n">part</span><span class="p">,</span> <span class="o">**</span><span class="n">kwargs</span><span class="p">):</span>
|
||||
<span class="sd">""""""</span>
|
||||
<span class="k">def</span> <span class="fm">__init__</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">data</span><span class="p">,</span> <span class="n">part</span><span class="p">,</span> <span class="o">**</span><span class="n">kwargs</span><span class="p">):</span>
|
||||
<span class="w"> </span><span class="sd">""""""</span>
|
||||
<span class="nb">super</span><span class="p">(</span><span class="n">PolynomialNonStationaryPartitioner</span><span class="p">,</span> <span class="bp">self</span><span class="p">)</span><span class="o">.</span><span class="fm">__init__</span><span class="p">(</span><span class="n">name</span><span class="o">=</span><span class="n">part</span><span class="o">.</span><span class="n">name</span><span class="p">,</span> <span class="n">data</span><span class="o">=</span><span class="n">data</span><span class="p">,</span> <span class="n">npart</span><span class="o">=</span><span class="n">part</span><span class="o">.</span><span class="n">partitions</span><span class="p">,</span>
|
||||
<span class="n">func</span><span class="o">=</span><span class="n">part</span><span class="o">.</span><span class="n">membership_function</span><span class="p">,</span> <span class="n">names</span><span class="o">=</span><span class="n">part</span><span class="o">.</span><span class="n">setnames</span><span class="p">,</span>
|
||||
<span class="n">prefix</span><span class="o">=</span><span class="n">part</span><span class="o">.</span><span class="n">prefix</span><span class="p">,</span> <span class="n">transformation</span><span class="o">=</span><span class="n">part</span><span class="o">.</span><span class="n">transformation</span><span class="p">,</span>
|
||||
@ -155,12 +155,12 @@
|
||||
|
||||
|
||||
<div class="viewcode-block" id="SimpleNonStationaryPartitioner"><a class="viewcode-back" href="../../../../pyFTS.models.nonstationary.html#pyFTS.models.nonstationary.partitioners.SimpleNonStationaryPartitioner">[docs]</a><span class="k">class</span> <span class="nc">SimpleNonStationaryPartitioner</span><span class="p">(</span><span class="n">partitioner</span><span class="o">.</span><span class="n">Partitioner</span><span class="p">):</span>
|
||||
<span class="sd">"""</span>
|
||||
<span class="w"> </span><span class="sd">"""</span>
|
||||
<span class="sd"> Non Stationary Universe of Discourse Partitioner</span>
|
||||
<span class="sd"> """</span>
|
||||
|
||||
<span class="k">def</span> <span class="nf">__init__</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">data</span><span class="p">,</span> <span class="n">part</span><span class="p">,</span> <span class="o">**</span><span class="n">kwargs</span><span class="p">):</span>
|
||||
<span class="sd">""""""</span>
|
||||
<span class="k">def</span> <span class="fm">__init__</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">data</span><span class="p">,</span> <span class="n">part</span><span class="p">,</span> <span class="o">**</span><span class="n">kwargs</span><span class="p">):</span>
|
||||
<span class="w"> </span><span class="sd">""""""</span>
|
||||
<span class="nb">super</span><span class="p">(</span><span class="n">SimpleNonStationaryPartitioner</span><span class="p">,</span> <span class="bp">self</span><span class="p">)</span><span class="o">.</span><span class="fm">__init__</span><span class="p">(</span><span class="n">name</span><span class="o">=</span><span class="n">part</span><span class="o">.</span><span class="n">name</span><span class="p">,</span> <span class="n">data</span><span class="o">=</span><span class="n">data</span><span class="p">,</span> <span class="n">npart</span><span class="o">=</span><span class="n">part</span><span class="o">.</span><span class="n">partitions</span><span class="p">,</span>
|
||||
<span class="n">func</span><span class="o">=</span><span class="n">part</span><span class="o">.</span><span class="n">membership_function</span><span class="p">,</span> <span class="n">names</span><span class="o">=</span><span class="n">part</span><span class="o">.</span><span class="n">setnames</span><span class="p">,</span>
|
||||
<span class="n">prefix</span><span class="o">=</span><span class="n">part</span><span class="o">.</span><span class="n">prefix</span><span class="p">,</span> <span class="n">transformation</span><span class="o">=</span><span class="n">part</span><span class="o">.</span><span class="n">transformation</span><span class="p">,</span>
|
||||
@ -181,8 +181,8 @@
|
||||
|
||||
|
||||
<div class="viewcode-block" id="simplenonstationary_gridpartitioner_builder"><a class="viewcode-back" href="../../../../pyFTS.models.nonstationary.html#pyFTS.models.nonstationary.partitioners.simplenonstationary_gridpartitioner_builder">[docs]</a><span class="k">def</span> <span class="nf">simplenonstationary_gridpartitioner_builder</span><span class="p">(</span><span class="n">data</span><span class="p">,</span> <span class="n">npart</span><span class="p">,</span> <span class="n">transformation</span><span class="p">):</span>
|
||||
<span class="kn">from</span> <span class="nn">pyFTS.partitioners</span> <span class="k">import</span> <span class="n">Grid</span>
|
||||
<span class="kn">from</span> <span class="nn">pyFTS.models.nonstationary</span> <span class="k">import</span> <span class="n">perturbation</span><span class="p">,</span> <span class="n">partitioners</span>
|
||||
<span class="kn">from</span> <span class="nn">pyFTS.partitioners</span> <span class="kn">import</span> <span class="n">Grid</span>
|
||||
<span class="kn">from</span> <span class="nn">pyFTS.models.nonstationary</span> <span class="kn">import</span> <span class="n">perturbation</span><span class="p">,</span> <span class="n">partitioners</span>
|
||||
|
||||
<span class="n">tmp_fs</span> <span class="o">=</span> <span class="n">Grid</span><span class="o">.</span><span class="n">GridPartitioner</span><span class="p">(</span><span class="n">data</span><span class="o">=</span><span class="n">data</span><span class="p">,</span> <span class="n">npart</span><span class="o">=</span><span class="n">npart</span><span class="p">,</span> <span class="n">transformation</span><span class="o">=</span><span class="n">transformation</span><span class="p">)</span>
|
||||
<span class="n">fs</span> <span class="o">=</span> <span class="n">partitioners</span><span class="o">.</span><span class="n">SimpleNonStationaryPartitioner</span><span class="p">(</span><span class="n">data</span><span class="p">,</span> <span class="n">tmp_fs</span><span class="p">,</span>
|
||||
@ -231,7 +231,7 @@
|
||||
</div>
|
||||
<div class="footer" role="contentinfo">
|
||||
© Copyright 2022, Machine Intelligence and Data Science Laboratory - UFMG - Brazil.
|
||||
Created using <a href="https://www.sphinx-doc.org/">Sphinx</a> 4.5.0.
|
||||
Created using <a href="https://www.sphinx-doc.org/">Sphinx</a> 4.3.2.
|
||||
</div>
|
||||
</body>
|
||||
</html>
|
||||
@ -48,8 +48,8 @@
|
||||
<span class="sd">"""</span>
|
||||
|
||||
<span class="kn">import</span> <span class="nn">numpy</span> <span class="k">as</span> <span class="nn">np</span>
|
||||
<span class="kn">from</span> <span class="nn">pyFTS</span> <span class="k">import</span> <span class="o">*</span>
|
||||
<span class="kn">from</span> <span class="nn">pyFTS.common</span> <span class="k">import</span> <span class="n">FuzzySet</span><span class="p">,</span> <span class="n">Membership</span>
|
||||
<span class="kn">from</span> <span class="nn">pyFTS</span> <span class="kn">import</span> <span class="o">*</span>
|
||||
<span class="kn">from</span> <span class="nn">pyFTS.common</span> <span class="kn">import</span> <span class="n">FuzzySet</span><span class="p">,</span> <span class="n">Membership</span>
|
||||
|
||||
|
||||
<div class="viewcode-block" id="linear"><a class="viewcode-back" href="../../../../pyFTS.models.nonstationary.html#pyFTS.models.nonstationary.perturbation.linear">[docs]</a><span class="k">def</span> <span class="nf">linear</span><span class="p">(</span><span class="n">x</span><span class="p">,</span> <span class="n">parameters</span><span class="p">):</span>
|
||||
@ -104,7 +104,7 @@
|
||||
</div>
|
||||
<div class="footer" role="contentinfo">
|
||||
© Copyright 2022, Machine Intelligence and Data Science Laboratory - UFMG - Brazil.
|
||||
Created using <a href="https://www.sphinx-doc.org/">Sphinx</a> 4.5.0.
|
||||
Created using <a href="https://www.sphinx-doc.org/">Sphinx</a> 4.3.2.
|
||||
</div>
|
||||
</body>
|
||||
</html>
|
||||
@ -45,14 +45,14 @@
|
||||
<h1>Source code for pyFTS.models.seasonal.SeasonalIndexer</h1><div class="highlight"><pre>
|
||||
<span></span><span class="kn">import</span> <span class="nn">numpy</span> <span class="k">as</span> <span class="nn">np</span>
|
||||
<span class="kn">import</span> <span class="nn">pandas</span> <span class="k">as</span> <span class="nn">pd</span>
|
||||
<span class="kn">from</span> <span class="nn">pyFTS.models.seasonal</span> <span class="k">import</span> <span class="n">common</span>
|
||||
<span class="kn">from</span> <span class="nn">pyFTS.models.seasonal</span> <span class="kn">import</span> <span class="n">common</span>
|
||||
|
||||
|
||||
<div class="viewcode-block" id="SeasonalIndexer"><a class="viewcode-back" href="../../../../pyFTS.models.seasonal.html#pyFTS.models.seasonal.SeasonalIndexer.SeasonalIndexer">[docs]</a><span class="k">class</span> <span class="nc">SeasonalIndexer</span><span class="p">(</span><span class="nb">object</span><span class="p">):</span>
|
||||
<span class="sd">"""</span>
|
||||
<span class="w"> </span><span class="sd">"""</span>
|
||||
<span class="sd"> Seasonal Indexer. Responsible to find the seasonal index of a data point inside its data set</span>
|
||||
<span class="sd"> """</span>
|
||||
<span class="k">def</span> <span class="nf">__init__</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span><span class="n">num_seasons</span><span class="p">,</span> <span class="o">**</span><span class="n">kwargs</span><span class="p">):</span>
|
||||
<span class="k">def</span> <span class="fm">__init__</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span><span class="n">num_seasons</span><span class="p">,</span> <span class="o">**</span><span class="n">kwargs</span><span class="p">):</span>
|
||||
<span class="bp">self</span><span class="o">.</span><span class="n">num_seasons</span> <span class="o">=</span> <span class="n">num_seasons</span>
|
||||
<span class="bp">self</span><span class="o">.</span><span class="n">name</span> <span class="o">=</span> <span class="n">kwargs</span><span class="o">.</span><span class="n">get</span><span class="p">(</span><span class="s2">"name"</span><span class="p">,</span><span class="s2">""</span><span class="p">)</span>
|
||||
|
||||
@ -76,9 +76,9 @@
|
||||
|
||||
|
||||
<div class="viewcode-block" id="LinearSeasonalIndexer"><a class="viewcode-back" href="../../../../pyFTS.models.seasonal.html#pyFTS.models.seasonal.SeasonalIndexer.LinearSeasonalIndexer">[docs]</a><span class="k">class</span> <span class="nc">LinearSeasonalIndexer</span><span class="p">(</span><span class="n">SeasonalIndexer</span><span class="p">):</span>
|
||||
<span class="sd">"""Use the data array/list position to index the seasonality """</span>
|
||||
<span class="k">def</span> <span class="nf">__init__</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">seasons</span><span class="p">,</span> <span class="n">units</span><span class="p">,</span> <span class="n">ignore</span><span class="o">=</span><span class="kc">None</span><span class="p">,</span> <span class="o">**</span><span class="n">kwargs</span><span class="p">):</span>
|
||||
<span class="sd">"""</span>
|
||||
<span class="w"> </span><span class="sd">"""Use the data array/list position to index the seasonality """</span>
|
||||
<span class="k">def</span> <span class="fm">__init__</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">seasons</span><span class="p">,</span> <span class="n">units</span><span class="p">,</span> <span class="n">ignore</span><span class="o">=</span><span class="kc">None</span><span class="p">,</span> <span class="o">**</span><span class="n">kwargs</span><span class="p">):</span>
|
||||
<span class="w"> </span><span class="sd">"""</span>
|
||||
<span class="sd"> Indexer for array/list position</span>
|
||||
<span class="sd"> :param seasons: A list with the season group (i.e: 7 for week, 30 for month, etc)</span>
|
||||
<span class="sd"> :param units: A list with the units used for each season group, the default is 1 for each</span>
|
||||
@ -134,9 +134,9 @@
|
||||
|
||||
|
||||
<div class="viewcode-block" id="DataFrameSeasonalIndexer"><a class="viewcode-back" href="../../../../pyFTS.models.seasonal.html#pyFTS.models.seasonal.SeasonalIndexer.DataFrameSeasonalIndexer">[docs]</a><span class="k">class</span> <span class="nc">DataFrameSeasonalIndexer</span><span class="p">(</span><span class="n">SeasonalIndexer</span><span class="p">):</span>
|
||||
<span class="sd">"""Use the Pandas.DataFrame index position to index the seasonality """</span>
|
||||
<span class="k">def</span> <span class="nf">__init__</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span><span class="n">index_fields</span><span class="p">,</span><span class="n">index_seasons</span><span class="p">,</span> <span class="n">data_field</span><span class="p">,</span><span class="o">**</span><span class="n">kwargs</span><span class="p">):</span>
|
||||
<span class="sd">"""</span>
|
||||
<span class="w"> </span><span class="sd">"""Use the Pandas.DataFrame index position to index the seasonality """</span>
|
||||
<span class="k">def</span> <span class="fm">__init__</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span><span class="n">index_fields</span><span class="p">,</span><span class="n">index_seasons</span><span class="p">,</span> <span class="n">data_field</span><span class="p">,</span><span class="o">**</span><span class="n">kwargs</span><span class="p">):</span>
|
||||
<span class="w"> </span><span class="sd">"""</span>
|
||||
|
||||
<span class="sd"> :param index_fields: DataFrame field to use as index</span>
|
||||
<span class="sd"> :param index_seasons: A list with the season group, i. e., multiples of positions that are considered a season (i.e: 7 for week, 30 for month, etc)</span>
|
||||
@ -186,9 +186,9 @@
|
||||
|
||||
|
||||
<div class="viewcode-block" id="DateTimeSeasonalIndexer"><a class="viewcode-back" href="../../../../pyFTS.models.seasonal.html#pyFTS.models.seasonal.SeasonalIndexer.DateTimeSeasonalIndexer">[docs]</a><span class="k">class</span> <span class="nc">DateTimeSeasonalIndexer</span><span class="p">(</span><span class="n">SeasonalIndexer</span><span class="p">):</span>
|
||||
<span class="sd">"""Use a Pandas.DataFrame date field to index the seasonality """</span>
|
||||
<span class="k">def</span> <span class="nf">__init__</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span><span class="n">date_field</span><span class="p">,</span> <span class="n">index_fields</span><span class="p">,</span> <span class="n">index_seasons</span><span class="p">,</span> <span class="n">data_field</span><span class="p">,</span><span class="o">**</span><span class="n">kwargs</span><span class="p">):</span>
|
||||
<span class="sd">"""</span>
|
||||
<span class="w"> </span><span class="sd">"""Use a Pandas.DataFrame date field to index the seasonality """</span>
|
||||
<span class="k">def</span> <span class="fm">__init__</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span><span class="n">date_field</span><span class="p">,</span> <span class="n">index_fields</span><span class="p">,</span> <span class="n">index_seasons</span><span class="p">,</span> <span class="n">data_field</span><span class="p">,</span><span class="o">**</span><span class="n">kwargs</span><span class="p">):</span>
|
||||
<span class="w"> </span><span class="sd">"""</span>
|
||||
|
||||
<span class="sd"> :param date_field: DataFrame field that contains the datetime field used on index</span>
|
||||
<span class="sd"> :param index_fields: List with commom.DataTime fields</span>
|
||||
@ -283,7 +283,7 @@
|
||||
</div>
|
||||
<div class="footer" role="contentinfo">
|
||||
© Copyright 2022, Machine Intelligence and Data Science Laboratory - UFMG - Brazil.
|
||||
Created using <a href="https://www.sphinx-doc.org/">Sphinx</a> 4.5.0.
|
||||
Created using <a href="https://www.sphinx-doc.org/">Sphinx</a> 4.3.2.
|
||||
</div>
|
||||
</body>
|
||||
</html>
|
||||
@ -45,14 +45,14 @@
|
||||
<h1>Source code for pyFTS.models.seasonal.common</h1><div class="highlight"><pre>
|
||||
<span></span><span class="kn">import</span> <span class="nn">numpy</span> <span class="k">as</span> <span class="nn">np</span>
|
||||
<span class="kn">import</span> <span class="nn">pandas</span> <span class="k">as</span> <span class="nn">pd</span>
|
||||
<span class="kn">from</span> <span class="nn">enum</span> <span class="k">import</span> <span class="n">Enum</span>
|
||||
<span class="kn">from</span> <span class="nn">pyFTS.common</span> <span class="k">import</span> <span class="n">FuzzySet</span><span class="p">,</span> <span class="n">Membership</span>
|
||||
<span class="kn">from</span> <span class="nn">pyFTS.partitioners</span> <span class="k">import</span> <span class="n">partitioner</span><span class="p">,</span> <span class="n">Grid</span>
|
||||
<span class="kn">from</span> <span class="nn">datetime</span> <span class="k">import</span> <span class="n">date</span> <span class="k">as</span> <span class="n">dt</span><span class="p">,</span> <span class="n">datetime</span> <span class="k">as</span> <span class="n">dtm</span>
|
||||
<span class="kn">from</span> <span class="nn">enum</span> <span class="kn">import</span> <span class="n">Enum</span>
|
||||
<span class="kn">from</span> <span class="nn">pyFTS.common</span> <span class="kn">import</span> <span class="n">FuzzySet</span><span class="p">,</span> <span class="n">Membership</span>
|
||||
<span class="kn">from</span> <span class="nn">pyFTS.partitioners</span> <span class="kn">import</span> <span class="n">partitioner</span><span class="p">,</span> <span class="n">Grid</span>
|
||||
<span class="kn">from</span> <span class="nn">datetime</span> <span class="kn">import</span> <span class="n">date</span> <span class="k">as</span> <span class="n">dt</span><span class="p">,</span> <span class="n">datetime</span> <span class="k">as</span> <span class="n">dtm</span>
|
||||
|
||||
|
||||
<div class="viewcode-block" id="DateTime"><a class="viewcode-back" href="../../../../pyFTS.models.seasonal.html#pyFTS.models.seasonal.common.DateTime">[docs]</a><span class="k">class</span> <span class="nc">DateTime</span><span class="p">(</span><span class="n">Enum</span><span class="p">):</span>
|
||||
<span class="sd">"""</span>
|
||||
<span class="w"> </span><span class="sd">"""</span>
|
||||
<span class="sd"> Data and Time granularity for time granularity and seasonality identification</span>
|
||||
<span class="sd"> """</span>
|
||||
<span class="n">year</span> <span class="o">=</span> <span class="mi">1</span>
|
||||
@ -140,11 +140,11 @@
|
||||
|
||||
|
||||
<div class="viewcode-block" id="FuzzySet"><a class="viewcode-back" href="../../../../pyFTS.models.seasonal.html#pyFTS.models.seasonal.common.FuzzySet">[docs]</a><span class="k">class</span> <span class="nc">FuzzySet</span><span class="p">(</span><span class="n">FuzzySet</span><span class="o">.</span><span class="n">FuzzySet</span><span class="p">):</span>
|
||||
<span class="sd">"""</span>
|
||||
<span class="w"> </span><span class="sd">"""</span>
|
||||
<span class="sd"> Temporal/Seasonal Fuzzy Set</span>
|
||||
<span class="sd"> """</span>
|
||||
|
||||
<span class="k">def</span> <span class="nf">__init__</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">datepart</span><span class="p">,</span> <span class="n">name</span><span class="p">,</span> <span class="n">mf</span><span class="p">,</span> <span class="n">parameters</span><span class="p">,</span> <span class="n">centroid</span><span class="p">,</span> <span class="n">alpha</span><span class="o">=</span><span class="mf">1.0</span><span class="p">,</span> <span class="o">**</span><span class="n">kwargs</span><span class="p">):</span>
|
||||
<span class="k">def</span> <span class="fm">__init__</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">datepart</span><span class="p">,</span> <span class="n">name</span><span class="p">,</span> <span class="n">mf</span><span class="p">,</span> <span class="n">parameters</span><span class="p">,</span> <span class="n">centroid</span><span class="p">,</span> <span class="n">alpha</span><span class="o">=</span><span class="mf">1.0</span><span class="p">,</span> <span class="o">**</span><span class="n">kwargs</span><span class="p">):</span>
|
||||
<span class="nb">super</span><span class="p">(</span><span class="n">FuzzySet</span><span class="p">,</span> <span class="bp">self</span><span class="p">)</span><span class="o">.</span><span class="fm">__init__</span><span class="p">(</span><span class="n">name</span><span class="p">,</span> <span class="n">mf</span><span class="p">,</span> <span class="n">parameters</span><span class="p">,</span> <span class="n">centroid</span><span class="p">,</span> <span class="n">alpha</span><span class="p">,</span>
|
||||
<span class="o">**</span><span class="n">kwargs</span><span class="p">)</span>
|
||||
<span class="bp">self</span><span class="o">.</span><span class="n">datepart</span> <span class="o">=</span> <span class="n">datepart</span>
|
||||
@ -195,7 +195,7 @@
|
||||
</div>
|
||||
<div class="footer" role="contentinfo">
|
||||
© Copyright 2022, Machine Intelligence and Data Science Laboratory - UFMG - Brazil.
|
||||
Created using <a href="https://www.sphinx-doc.org/">Sphinx</a> 4.5.0.
|
||||
Created using <a href="https://www.sphinx-doc.org/">Sphinx</a> 4.3.2.
|
||||
</div>
|
||||
</body>
|
||||
</html>
|
||||
@ -43,20 +43,20 @@
|
||||
<div class="body" role="main">
|
||||
|
||||
<h1>Source code for pyFTS.models.seasonal.partitioner</h1><div class="highlight"><pre>
|
||||
<span></span><span class="kn">from</span> <span class="nn">pyFTS.common</span> <span class="k">import</span> <span class="n">Membership</span><span class="p">,</span> <span class="n">FuzzySet</span> <span class="k">as</span> <span class="n">FS</span>
|
||||
<span class="kn">from</span> <span class="nn">pyFTS.common.Composite</span> <span class="k">import</span> <span class="n">FuzzySet</span> <span class="k">as</span> <span class="n">Composite</span>
|
||||
<span class="kn">from</span> <span class="nn">pyFTS.partitioners</span> <span class="k">import</span> <span class="n">partitioner</span><span class="p">,</span> <span class="n">Grid</span>
|
||||
<span class="kn">from</span> <span class="nn">pyFTS.models.seasonal.common</span> <span class="k">import</span> <span class="n">DateTime</span><span class="p">,</span> <span class="n">FuzzySet</span><span class="p">,</span> <span class="n">strip_datepart</span>
|
||||
<span></span><span class="kn">from</span> <span class="nn">pyFTS.common</span> <span class="kn">import</span> <span class="n">Membership</span><span class="p">,</span> <span class="n">FuzzySet</span> <span class="k">as</span> <span class="n">FS</span>
|
||||
<span class="kn">from</span> <span class="nn">pyFTS.common.Composite</span> <span class="kn">import</span> <span class="n">FuzzySet</span> <span class="k">as</span> <span class="n">Composite</span>
|
||||
<span class="kn">from</span> <span class="nn">pyFTS.partitioners</span> <span class="kn">import</span> <span class="n">partitioner</span><span class="p">,</span> <span class="n">Grid</span>
|
||||
<span class="kn">from</span> <span class="nn">pyFTS.models.seasonal.common</span> <span class="kn">import</span> <span class="n">DateTime</span><span class="p">,</span> <span class="n">FuzzySet</span><span class="p">,</span> <span class="n">strip_datepart</span>
|
||||
<span class="kn">import</span> <span class="nn">numpy</span> <span class="k">as</span> <span class="nn">np</span>
|
||||
<span class="kn">import</span> <span class="nn">matplotlib.pylab</span> <span class="k">as</span> <span class="nn">plt</span>
|
||||
<span class="kn">from</span> <span class="nn">scipy.spatial</span> <span class="k">import</span> <span class="n">KDTree</span>
|
||||
<span class="kn">from</span> <span class="nn">scipy.spatial</span> <span class="kn">import</span> <span class="n">KDTree</span>
|
||||
|
||||
|
||||
<div class="viewcode-block" id="TimeGridPartitioner"><a class="viewcode-back" href="../../../../pyFTS.models.seasonal.html#pyFTS.models.seasonal.partitioner.TimeGridPartitioner">[docs]</a><span class="k">class</span> <span class="nc">TimeGridPartitioner</span><span class="p">(</span><span class="n">partitioner</span><span class="o">.</span><span class="n">Partitioner</span><span class="p">):</span>
|
||||
<span class="sd">"""Even Length DateTime Grid Partitioner"""</span>
|
||||
<span class="w"> </span><span class="sd">"""Even Length DateTime Grid Partitioner"""</span>
|
||||
|
||||
<span class="k">def</span> <span class="nf">__init__</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="o">**</span><span class="n">kwargs</span><span class="p">):</span>
|
||||
<span class="sd">"""</span>
|
||||
<span class="k">def</span> <span class="fm">__init__</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="o">**</span><span class="n">kwargs</span><span class="p">):</span>
|
||||
<span class="w"> </span><span class="sd">"""</span>
|
||||
<span class="sd"> Even Length Grid Partitioner</span>
|
||||
<span class="sd"> :param seasonality: Time granularity, from pyFTS.models.seasonal.common.DateTime</span>
|
||||
<span class="sd"> :param data: Training data of which the universe of discourse will be extracted. The universe of discourse is the open interval between the minimum and maximum values of the training data.</span>
|
||||
@ -66,9 +66,9 @@
|
||||
<span class="nb">super</span><span class="p">(</span><span class="n">TimeGridPartitioner</span><span class="p">,</span> <span class="bp">self</span><span class="p">)</span><span class="o">.</span><span class="fm">__init__</span><span class="p">(</span><span class="n">name</span><span class="o">=</span><span class="s2">"TimeGrid"</span><span class="p">,</span> <span class="n">preprocess</span><span class="o">=</span><span class="kc">False</span><span class="p">,</span> <span class="o">**</span><span class="n">kwargs</span><span class="p">)</span>
|
||||
|
||||
<span class="bp">self</span><span class="o">.</span><span class="n">season</span> <span class="o">=</span> <span class="n">kwargs</span><span class="o">.</span><span class="n">get</span><span class="p">(</span><span class="s1">'seasonality'</span><span class="p">,</span> <span class="n">DateTime</span><span class="o">.</span><span class="n">day_of_year</span><span class="p">)</span>
|
||||
<span class="sd">'''Seasonality, a pyFTS.models.seasonal.common.DateTime object'''</span>
|
||||
<span class="w"> </span><span class="sd">'''Seasonality, a pyFTS.models.seasonal.common.DateTime object'''</span>
|
||||
<span class="bp">self</span><span class="o">.</span><span class="n">mask</span> <span class="o">=</span> <span class="n">kwargs</span><span class="o">.</span><span class="n">get</span><span class="p">(</span><span class="s1">'mask'</span><span class="p">,</span> <span class="s1">'%Y-%m-</span><span class="si">%d</span><span class="s1"> %H:%M:%S'</span><span class="p">)</span>
|
||||
<span class="sd">'''A string with datetime formating mask'''</span>
|
||||
<span class="w"> </span><span class="sd">'''A string with datetime formating mask'''</span>
|
||||
|
||||
<span class="n">data</span> <span class="o">=</span> <span class="n">kwargs</span><span class="o">.</span><span class="n">get</span><span class="p">(</span><span class="s1">'data'</span><span class="p">,</span> <span class="kc">None</span><span class="p">)</span>
|
||||
<span class="k">if</span> <span class="bp">self</span><span class="o">.</span><span class="n">season</span> <span class="o">==</span> <span class="n">DateTime</span><span class="o">.</span><span class="n">year</span><span class="p">:</span>
|
||||
@ -193,7 +193,7 @@
|
||||
<span class="n">sys</span><span class="o">.</span><span class="n">setrecursionlimit</span><span class="p">(</span><span class="mi">1000</span><span class="p">)</span></div>
|
||||
|
||||
<div class="viewcode-block" id="TimeGridPartitioner.search"><a class="viewcode-back" href="../../../../pyFTS.models.seasonal.html#pyFTS.models.seasonal.partitioner.TimeGridPartitioner.search">[docs]</a> <span class="k">def</span> <span class="nf">search</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">data</span><span class="p">,</span> <span class="o">**</span><span class="n">kwargs</span><span class="p">):</span>
|
||||
<span class="sd">'''</span>
|
||||
<span class="w"> </span><span class="sd">'''</span>
|
||||
<span class="sd"> Perform a search for the nearest fuzzy sets of the point 'data'. This function were designed to work with several</span>
|
||||
<span class="sd"> overlapped fuzzy sets.</span>
|
||||
|
||||
@ -225,7 +225,7 @@
|
||||
|
||||
|
||||
<div class="viewcode-block" id="TimeGridPartitioner.plot"><a class="viewcode-back" href="../../../../pyFTS.models.seasonal.html#pyFTS.models.seasonal.partitioner.TimeGridPartitioner.plot">[docs]</a> <span class="k">def</span> <span class="nf">plot</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">ax</span><span class="p">):</span>
|
||||
<span class="sd">"""</span>
|
||||
<span class="w"> </span><span class="sd">"""</span>
|
||||
<span class="sd"> Plot the</span>
|
||||
<span class="sd"> :param ax:</span>
|
||||
<span class="sd"> :return:</span>
|
||||
@ -284,7 +284,7 @@
|
||||
</div>
|
||||
<div class="footer" role="contentinfo">
|
||||
© Copyright 2022, Machine Intelligence and Data Science Laboratory - UFMG - Brazil.
|
||||
Created using <a href="https://www.sphinx-doc.org/">Sphinx</a> 4.5.0.
|
||||
Created using <a href="https://www.sphinx-doc.org/">Sphinx</a> 4.3.2.
|
||||
</div>
|
||||
</body>
|
||||
</html>
|
||||
@ -47,8 +47,8 @@
|
||||
<span class="kn">import</span> <span class="nn">math</span>
|
||||
<span class="kn">import</span> <span class="nn">random</span> <span class="k">as</span> <span class="nn">rnd</span>
|
||||
<span class="kn">import</span> <span class="nn">functools</span><span class="o">,</span> <span class="nn">operator</span>
|
||||
<span class="kn">from</span> <span class="nn">pyFTS.common</span> <span class="k">import</span> <span class="n">FuzzySet</span><span class="p">,</span> <span class="n">Membership</span>
|
||||
<span class="kn">from</span> <span class="nn">pyFTS.partitioners</span> <span class="k">import</span> <span class="n">partitioner</span>
|
||||
<span class="kn">from</span> <span class="nn">pyFTS.common</span> <span class="kn">import</span> <span class="n">FuzzySet</span><span class="p">,</span> <span class="n">Membership</span>
|
||||
<span class="kn">from</span> <span class="nn">pyFTS.partitioners</span> <span class="kn">import</span> <span class="n">partitioner</span>
|
||||
|
||||
|
||||
<div class="viewcode-block" id="distance"><a class="viewcode-back" href="../../../pyFTS.partitioners.html#pyFTS.partitioners.CMeans.distance">[docs]</a><span class="k">def</span> <span class="nf">distance</span><span class="p">(</span><span class="n">x</span><span class="p">,</span> <span class="n">y</span><span class="p">):</span>
|
||||
@ -123,7 +123,7 @@
|
||||
|
||||
|
||||
<div class="viewcode-block" id="CMeansPartitioner"><a class="viewcode-back" href="../../../pyFTS.partitioners.html#pyFTS.partitioners.CMeans.CMeansPartitioner">[docs]</a><span class="k">class</span> <span class="nc">CMeansPartitioner</span><span class="p">(</span><span class="n">partitioner</span><span class="o">.</span><span class="n">Partitioner</span><span class="p">):</span>
|
||||
<span class="k">def</span> <span class="nf">__init__</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="o">**</span><span class="n">kwargs</span><span class="p">):</span>
|
||||
<span class="k">def</span> <span class="fm">__init__</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="o">**</span><span class="n">kwargs</span><span class="p">):</span>
|
||||
<span class="nb">super</span><span class="p">(</span><span class="n">CMeansPartitioner</span><span class="p">,</span> <span class="bp">self</span><span class="p">)</span><span class="o">.</span><span class="fm">__init__</span><span class="p">(</span><span class="n">name</span><span class="o">=</span><span class="s2">"CMeans"</span><span class="p">,</span> <span class="o">**</span><span class="n">kwargs</span><span class="p">)</span>
|
||||
|
||||
<div class="viewcode-block" id="CMeansPartitioner.build"><a class="viewcode-back" href="../../../pyFTS.partitioners.html#pyFTS.partitioners.CMeans.CMeansPartitioner.build">[docs]</a> <span class="k">def</span> <span class="nf">build</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">data</span><span class="p">):</span>
|
||||
@ -181,7 +181,7 @@
|
||||
</div>
|
||||
<div class="footer" role="contentinfo">
|
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© Copyright 2022, Machine Intelligence and Data Science Laboratory - UFMG - Brazil.
|
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Created using <a href="https://www.sphinx-doc.org/">Sphinx</a> 4.5.0.
|
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Created using <a href="https://www.sphinx-doc.org/">Sphinx</a> 4.3.2.
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</div>
|
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</body>
|
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</html>
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123
docs/build/html/_modules/pyFTS/partitioners/ClassPartitioner.html
vendored
Normal file
123
docs/build/html/_modules/pyFTS/partitioners/ClassPartitioner.html
vendored
Normal file
@ -0,0 +1,123 @@
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|
||||
<h1>Source code for pyFTS.partitioners.ClassPartitioner</h1><div class="highlight"><pre>
|
||||
<span></span><span class="sd">"""Class Partitioner with Singleton Fuzzy Sets"""</span>
|
||||
|
||||
<span class="kn">import</span> <span class="nn">numpy</span> <span class="k">as</span> <span class="nn">np</span>
|
||||
<span class="kn">import</span> <span class="nn">math</span>
|
||||
<span class="kn">import</span> <span class="nn">random</span> <span class="k">as</span> <span class="nn">rnd</span>
|
||||
<span class="kn">import</span> <span class="nn">functools</span><span class="o">,</span> <span class="nn">operator</span>
|
||||
<span class="kn">from</span> <span class="nn">pyFTS.common</span> <span class="kn">import</span> <span class="n">FuzzySet</span><span class="p">,</span> <span class="n">Membership</span>
|
||||
<span class="kn">from</span> <span class="nn">pyFTS.partitioners</span> <span class="kn">import</span> <span class="n">partitioner</span>
|
||||
|
||||
|
||||
<div class="viewcode-block" id="ClassPartitioner"><a class="viewcode-back" href="../../../pyFTS.partitioners.html#pyFTS.partitioners.ClassPartitioner.ClassPartitioner">[docs]</a><span class="k">class</span> <span class="nc">ClassPartitioner</span><span class="p">(</span><span class="n">partitioner</span><span class="o">.</span><span class="n">Partitioner</span><span class="p">):</span>
|
||||
<span class="w"> </span><span class="sd">"""Class Partitioner: Given a dictionary with class/values pairs, create singleton fuzzy sets for each class"""</span>
|
||||
|
||||
<span class="k">def</span> <span class="fm">__init__</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="o">**</span><span class="n">kwargs</span><span class="p">):</span>
|
||||
<span class="w"> </span><span class="sd">"""</span>
|
||||
<span class="sd"> Class Partitioner</span>
|
||||
<span class="sd"> """</span>
|
||||
<span class="nb">super</span><span class="p">(</span><span class="n">ClassPartitioner</span><span class="p">,</span> <span class="bp">self</span><span class="p">)</span><span class="o">.</span><span class="fm">__init__</span><span class="p">(</span><span class="n">name</span><span class="o">=</span><span class="s2">"Class"</span><span class="p">,</span> <span class="n">preprocess</span> <span class="o">=</span> <span class="kc">False</span><span class="p">)</span>
|
||||
|
||||
<span class="bp">self</span><span class="o">.</span><span class="n">ordered_sets</span> <span class="o">=</span> <span class="p">[]</span>
|
||||
|
||||
<span class="bp">self</span><span class="o">.</span><span class="n">min</span> <span class="o">=</span> <span class="mi">0</span>
|
||||
<span class="bp">self</span><span class="o">.</span><span class="n">max</span> <span class="o">=</span> <span class="mi">0</span>
|
||||
<span class="bp">self</span><span class="o">.</span><span class="n">partitions</span> <span class="o">=</span> <span class="mi">0</span>
|
||||
|
||||
<span class="n">classes</span> <span class="o">=</span> <span class="n">kwargs</span><span class="o">.</span><span class="n">get</span><span class="p">(</span><span class="s2">"classes"</span><span class="p">,</span> <span class="p">{})</span>
|
||||
|
||||
<span class="k">for</span> <span class="n">k</span><span class="p">,</span><span class="n">v</span> <span class="ow">in</span> <span class="n">classes</span><span class="o">.</span><span class="n">items</span><span class="p">():</span>
|
||||
<span class="bp">self</span><span class="o">.</span><span class="n">min</span> <span class="o">=</span> <span class="nb">min</span><span class="p">([</span><span class="bp">self</span><span class="o">.</span><span class="n">min</span><span class="p">,</span> <span class="n">v</span><span class="p">])</span>
|
||||
<span class="bp">self</span><span class="o">.</span><span class="n">max</span> <span class="o">=</span> <span class="nb">max</span><span class="p">([</span><span class="bp">self</span><span class="o">.</span><span class="n">max</span><span class="p">,</span> <span class="n">v</span><span class="p">])</span>
|
||||
<span class="bp">self</span><span class="o">.</span><span class="n">partitions</span> <span class="o">+=</span> <span class="mi">1</span>
|
||||
<span class="bp">self</span><span class="o">.</span><span class="n">sets</span><span class="p">[</span><span class="n">k</span><span class="p">]</span> <span class="o">=</span> <span class="n">FuzzySet</span><span class="o">.</span><span class="n">FuzzySet</span><span class="p">(</span><span class="n">k</span><span class="p">,</span> <span class="n">Membership</span><span class="o">.</span><span class="n">singleton</span><span class="p">,</span> <span class="p">[</span><span class="n">v</span><span class="p">],</span> <span class="n">v</span><span class="p">,</span> <span class="o">**</span><span class="n">kwargs</span><span class="p">)</span>
|
||||
<span class="bp">self</span><span class="o">.</span><span class="n">ordered_sets</span><span class="o">.</span><span class="n">append</span><span class="p">(</span><span class="n">k</span><span class="p">)</span>
|
||||
|
||||
<div class="viewcode-block" id="ClassPartitioner.build"><a class="viewcode-back" href="../../../pyFTS.partitioners.html#pyFTS.partitioners.ClassPartitioner.ClassPartitioner.build">[docs]</a> <span class="k">def</span> <span class="nf">build</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">data</span> <span class="p">:</span> <span class="nb">list</span><span class="p">):</span>
|
||||
<span class="k">pass</span></div></div>
|
||||
</pre></div>
|
||||
|
||||
<div class="clearer"></div>
|
||||
</div>
|
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|
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|
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>modules</a> |</li>
|
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<li class="nav-item nav-item-0"><a href="../../../index.html">pyFTS 1.7 documentation</a> »</li>
|
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<li class="nav-item nav-item-1"><a href="../../index.html" >Module code</a> »</li>
|
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<li class="nav-item nav-item-this"><a href="">pyFTS.partitioners.ClassPartitioner</a></li>
|
||||
</ul>
|
||||
</div>
|
||||
<div class="footer" role="contentinfo">
|
||||
© Copyright 2022, Machine Intelligence and Data Science Laboratory - UFMG - Brazil.
|
||||
Created using <a href="https://www.sphinx-doc.org/">Sphinx</a> 4.3.2.
|
||||
</div>
|
||||
</body>
|
||||
</html>
|
||||
@ -52,8 +52,8 @@
|
||||
<span class="kn">import</span> <span class="nn">math</span>
|
||||
<span class="kn">import</span> <span class="nn">random</span> <span class="k">as</span> <span class="nn">rnd</span>
|
||||
<span class="kn">import</span> <span class="nn">functools</span><span class="o">,</span> <span class="nn">operator</span>
|
||||
<span class="kn">from</span> <span class="nn">pyFTS.common</span> <span class="k">import</span> <span class="n">FuzzySet</span><span class="p">,</span> <span class="n">Membership</span>
|
||||
<span class="kn">from</span> <span class="nn">pyFTS.partitioners</span> <span class="k">import</span> <span class="n">partitioner</span>
|
||||
<span class="kn">from</span> <span class="nn">pyFTS.common</span> <span class="kn">import</span> <span class="n">FuzzySet</span><span class="p">,</span> <span class="n">Membership</span>
|
||||
<span class="kn">from</span> <span class="nn">pyFTS.partitioners</span> <span class="kn">import</span> <span class="n">partitioner</span>
|
||||
|
||||
|
||||
<div class="viewcode-block" id="splitBelow"><a class="viewcode-back" href="../../../pyFTS.partitioners.html#pyFTS.partitioners.Entropy.splitBelow">[docs]</a><span class="k">def</span> <span class="nf">splitBelow</span><span class="p">(</span><span class="n">data</span><span class="p">,</span><span class="n">threshold</span><span class="p">):</span>
|
||||
@ -125,8 +125,8 @@
|
||||
|
||||
|
||||
<div class="viewcode-block" id="EntropyPartitioner"><a class="viewcode-back" href="../../../pyFTS.partitioners.html#pyFTS.partitioners.Entropy.EntropyPartitioner">[docs]</a><span class="k">class</span> <span class="nc">EntropyPartitioner</span><span class="p">(</span><span class="n">partitioner</span><span class="o">.</span><span class="n">Partitioner</span><span class="p">):</span>
|
||||
<span class="sd">"""Huarng Entropy Partitioner"""</span>
|
||||
<span class="k">def</span> <span class="nf">__init__</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="o">**</span><span class="n">kwargs</span><span class="p">):</span>
|
||||
<span class="w"> </span><span class="sd">"""Huarng Entropy Partitioner"""</span>
|
||||
<span class="k">def</span> <span class="fm">__init__</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="o">**</span><span class="n">kwargs</span><span class="p">):</span>
|
||||
<span class="nb">super</span><span class="p">(</span><span class="n">EntropyPartitioner</span><span class="p">,</span> <span class="bp">self</span><span class="p">)</span><span class="o">.</span><span class="fm">__init__</span><span class="p">(</span><span class="n">name</span><span class="o">=</span><span class="s2">"Entropy"</span><span class="p">,</span> <span class="o">**</span><span class="n">kwargs</span><span class="p">)</span>
|
||||
|
||||
<div class="viewcode-block" id="EntropyPartitioner.build"><a class="viewcode-back" href="../../../pyFTS.partitioners.html#pyFTS.partitioners.Entropy.EntropyPartitioner.build">[docs]</a> <span class="k">def</span> <span class="nf">build</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">data</span><span class="p">):</span>
|
||||
@ -191,7 +191,7 @@
|
||||
</div>
|
||||
<div class="footer" role="contentinfo">
|
||||
© Copyright 2022, Machine Intelligence and Data Science Laboratory - UFMG - Brazil.
|
||||
Created using <a href="https://www.sphinx-doc.org/">Sphinx</a> 4.5.0.
|
||||
Created using <a href="https://www.sphinx-doc.org/">Sphinx</a> 4.3.2.
|
||||
</div>
|
||||
</body>
|
||||
</html>
|
||||
@ -52,8 +52,8 @@
|
||||
<span class="kn">import</span> <span class="nn">math</span>
|
||||
<span class="kn">import</span> <span class="nn">random</span> <span class="k">as</span> <span class="nn">rnd</span>
|
||||
<span class="kn">import</span> <span class="nn">functools</span><span class="o">,</span> <span class="nn">operator</span>
|
||||
<span class="kn">from</span> <span class="nn">pyFTS.common</span> <span class="k">import</span> <span class="n">FuzzySet</span><span class="p">,</span> <span class="n">Membership</span>
|
||||
<span class="kn">from</span> <span class="nn">pyFTS.partitioners</span> <span class="k">import</span> <span class="n">partitioner</span>
|
||||
<span class="kn">from</span> <span class="nn">pyFTS.common</span> <span class="kn">import</span> <span class="n">FuzzySet</span><span class="p">,</span> <span class="n">Membership</span>
|
||||
<span class="kn">from</span> <span class="nn">pyFTS.partitioners</span> <span class="kn">import</span> <span class="n">partitioner</span>
|
||||
|
||||
|
||||
<div class="viewcode-block" id="fuzzy_distance"><a class="viewcode-back" href="../../../pyFTS.partitioners.html#pyFTS.partitioners.FCM.fuzzy_distance">[docs]</a><span class="k">def</span> <span class="nf">fuzzy_distance</span><span class="p">(</span><span class="n">x</span><span class="p">,</span> <span class="n">y</span><span class="p">):</span>
|
||||
@ -136,11 +136,11 @@
|
||||
|
||||
|
||||
<div class="viewcode-block" id="FCMPartitioner"><a class="viewcode-back" href="../../../pyFTS.partitioners.html#pyFTS.partitioners.FCM.FCMPartitioner">[docs]</a><span class="k">class</span> <span class="nc">FCMPartitioner</span><span class="p">(</span><span class="n">partitioner</span><span class="o">.</span><span class="n">Partitioner</span><span class="p">):</span>
|
||||
<span class="sd">"""</span>
|
||||
<span class="w"> </span><span class="sd">"""</span>
|
||||
<span class="sd"> </span>
|
||||
<span class="sd"> """</span>
|
||||
|
||||
<span class="k">def</span> <span class="nf">__init__</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="o">**</span><span class="n">kwargs</span><span class="p">):</span>
|
||||
<span class="k">def</span> <span class="fm">__init__</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="o">**</span><span class="n">kwargs</span><span class="p">):</span>
|
||||
<span class="nb">super</span><span class="p">(</span><span class="n">FCMPartitioner</span><span class="p">,</span> <span class="bp">self</span><span class="p">)</span><span class="o">.</span><span class="fm">__init__</span><span class="p">(</span><span class="n">name</span><span class="o">=</span><span class="s2">"FCM"</span><span class="p">,</span> <span class="o">**</span><span class="n">kwargs</span><span class="p">)</span>
|
||||
|
||||
<div class="viewcode-block" id="FCMPartitioner.build"><a class="viewcode-back" href="../../../pyFTS.partitioners.html#pyFTS.partitioners.FCM.FCMPartitioner.build">[docs]</a> <span class="k">def</span> <span class="nf">build</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">data</span><span class="p">):</span>
|
||||
@ -207,7 +207,7 @@
|
||||
</div>
|
||||
<div class="footer" role="contentinfo">
|
||||
© Copyright 2022, Machine Intelligence and Data Science Laboratory - UFMG - Brazil.
|
||||
Created using <a href="https://www.sphinx-doc.org/">Sphinx</a> 4.5.0.
|
||||
Created using <a href="https://www.sphinx-doc.org/">Sphinx</a> 4.3.2.
|
||||
</div>
|
||||
</body>
|
||||
</html>
|
||||
@ -49,15 +49,15 @@
|
||||
<span class="kn">import</span> <span class="nn">math</span>
|
||||
<span class="kn">import</span> <span class="nn">random</span> <span class="k">as</span> <span class="nn">rnd</span>
|
||||
<span class="kn">import</span> <span class="nn">functools</span><span class="o">,</span> <span class="nn">operator</span>
|
||||
<span class="kn">from</span> <span class="nn">pyFTS.common</span> <span class="k">import</span> <span class="n">FuzzySet</span><span class="p">,</span> <span class="n">Membership</span>
|
||||
<span class="kn">from</span> <span class="nn">pyFTS.partitioners</span> <span class="k">import</span> <span class="n">partitioner</span>
|
||||
<span class="kn">from</span> <span class="nn">pyFTS.common</span> <span class="kn">import</span> <span class="n">FuzzySet</span><span class="p">,</span> <span class="n">Membership</span>
|
||||
<span class="kn">from</span> <span class="nn">pyFTS.partitioners</span> <span class="kn">import</span> <span class="n">partitioner</span>
|
||||
|
||||
|
||||
<div class="viewcode-block" id="GridPartitioner"><a class="viewcode-back" href="../../../pyFTS.partitioners.html#pyFTS.partitioners.Grid.GridPartitioner">[docs]</a><span class="k">class</span> <span class="nc">GridPartitioner</span><span class="p">(</span><span class="n">partitioner</span><span class="o">.</span><span class="n">Partitioner</span><span class="p">):</span>
|
||||
<span class="sd">"""Even Length Grid Partitioner"""</span>
|
||||
<span class="w"> </span><span class="sd">"""Even Length Grid Partitioner"""</span>
|
||||
|
||||
<span class="k">def</span> <span class="nf">__init__</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="o">**</span><span class="n">kwargs</span><span class="p">):</span>
|
||||
<span class="sd">"""</span>
|
||||
<span class="k">def</span> <span class="fm">__init__</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="o">**</span><span class="n">kwargs</span><span class="p">):</span>
|
||||
<span class="w"> </span><span class="sd">"""</span>
|
||||
<span class="sd"> Even Length Grid Partitioner</span>
|
||||
<span class="sd"> """</span>
|
||||
<span class="nb">super</span><span class="p">(</span><span class="n">GridPartitioner</span><span class="p">,</span> <span class="bp">self</span><span class="p">)</span><span class="o">.</span><span class="fm">__init__</span><span class="p">(</span><span class="n">name</span><span class="o">=</span><span class="s2">"Grid"</span><span class="p">,</span> <span class="o">**</span><span class="n">kwargs</span><span class="p">)</span>
|
||||
@ -67,11 +67,12 @@
|
||||
|
||||
<span class="n">kwargs</span> <span class="o">=</span> <span class="p">{</span><span class="s1">'type'</span><span class="p">:</span> <span class="bp">self</span><span class="o">.</span><span class="n">type</span><span class="p">,</span> <span class="s1">'variable'</span><span class="p">:</span> <span class="bp">self</span><span class="o">.</span><span class="n">variable</span><span class="p">}</span>
|
||||
|
||||
<span class="n">dlen</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">max</span> <span class="o">-</span> <span class="bp">self</span><span class="o">.</span><span class="n">min</span>
|
||||
<span class="n">partlen</span> <span class="o">=</span> <span class="n">dlen</span> <span class="o">/</span> <span class="bp">self</span><span class="o">.</span><span class="n">partitions</span>
|
||||
<span class="c1">#dlen = self.max - self.min</span>
|
||||
<span class="c1">#partlen = dlen / self.partitions</span>
|
||||
|
||||
<span class="n">count</span> <span class="o">=</span> <span class="mi">0</span>
|
||||
<span class="k">for</span> <span class="n">c</span> <span class="ow">in</span> <span class="n">np</span><span class="o">.</span><span class="n">arange</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">min</span><span class="p">,</span> <span class="bp">self</span><span class="o">.</span><span class="n">max</span><span class="p">,</span> <span class="n">partlen</span><span class="p">):</span>
|
||||
<span class="n">centers</span><span class="p">,</span> <span class="n">partlen</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">linspace</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">min</span><span class="p">,</span> <span class="bp">self</span><span class="o">.</span><span class="n">max</span><span class="p">,</span> <span class="bp">self</span><span class="o">.</span><span class="n">partitions</span><span class="p">,</span> <span class="n">retstep</span><span class="o">=</span><span class="kc">True</span><span class="p">)</span>
|
||||
<span class="k">for</span> <span class="n">c</span> <span class="ow">in</span> <span class="n">centers</span><span class="p">:</span>
|
||||
<span class="n">_name</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">get_name</span><span class="p">(</span><span class="n">count</span><span class="p">)</span>
|
||||
<span class="k">if</span> <span class="bp">self</span><span class="o">.</span><span class="n">membership_function</span> <span class="o">==</span> <span class="n">Membership</span><span class="o">.</span><span class="n">trimf</span><span class="p">:</span>
|
||||
<span class="n">sets</span><span class="p">[</span><span class="n">_name</span><span class="p">]</span> <span class="o">=</span> <span class="n">FuzzySet</span><span class="o">.</span><span class="n">FuzzySet</span><span class="p">(</span><span class="n">_name</span><span class="p">,</span> <span class="n">Membership</span><span class="o">.</span><span class="n">trimf</span><span class="p">,</span> <span class="p">[</span><span class="n">c</span> <span class="o">-</span> <span class="n">partlen</span><span class="p">,</span> <span class="n">c</span><span class="p">,</span> <span class="n">c</span> <span class="o">+</span> <span class="n">partlen</span><span class="p">],</span><span class="n">c</span><span class="p">,</span><span class="o">**</span><span class="n">kwargs</span><span class="p">)</span>
|
||||
@ -88,10 +89,10 @@
|
||||
|
||||
|
||||
<div class="viewcode-block" id="PreFixedGridPartitioner"><a class="viewcode-back" href="../../../pyFTS.partitioners.html#pyFTS.partitioners.Grid.PreFixedGridPartitioner">[docs]</a><span class="k">class</span> <span class="nc">PreFixedGridPartitioner</span><span class="p">(</span><span class="n">GridPartitioner</span><span class="p">):</span>
|
||||
<span class="sd">"""Prefixed UoD with Even Length Grid Partitioner"""</span>
|
||||
<span class="w"> </span><span class="sd">"""Prefixed UoD with Even Length Grid Partitioner"""</span>
|
||||
|
||||
<span class="k">def</span> <span class="nf">__init__</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="o">**</span><span class="n">kwargs</span><span class="p">):</span>
|
||||
<span class="sd">"""</span>
|
||||
<span class="k">def</span> <span class="fm">__init__</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="o">**</span><span class="n">kwargs</span><span class="p">):</span>
|
||||
<span class="w"> </span><span class="sd">"""</span>
|
||||
<span class="sd"> Fixed UoD with Even Length Grid Partitioner</span>
|
||||
<span class="sd"> """</span>
|
||||
|
||||
@ -156,7 +157,7 @@
|
||||
</div>
|
||||
<div class="footer" role="contentinfo">
|
||||
© Copyright 2022, Machine Intelligence and Data Science Laboratory - UFMG - Brazil.
|
||||
Created using <a href="https://www.sphinx-doc.org/">Sphinx</a> 4.5.0.
|
||||
Created using <a href="https://www.sphinx-doc.org/">Sphinx</a> 4.3.2.
|
||||
</div>
|
||||
</body>
|
||||
</html>
|
||||
@ -49,15 +49,15 @@
|
||||
<span class="kn">import</span> <span class="nn">math</span>
|
||||
<span class="kn">import</span> <span class="nn">random</span> <span class="k">as</span> <span class="nn">rnd</span>
|
||||
<span class="kn">import</span> <span class="nn">functools</span><span class="o">,</span> <span class="nn">operator</span>
|
||||
<span class="kn">from</span> <span class="nn">pyFTS.common</span> <span class="k">import</span> <span class="n">FuzzySet</span><span class="p">,</span> <span class="n">Membership</span>
|
||||
<span class="kn">from</span> <span class="nn">pyFTS.partitioners</span> <span class="k">import</span> <span class="n">partitioner</span>
|
||||
<span class="kn">from</span> <span class="nn">pyFTS.common</span> <span class="kn">import</span> <span class="n">FuzzySet</span><span class="p">,</span> <span class="n">Membership</span>
|
||||
<span class="kn">from</span> <span class="nn">pyFTS.partitioners</span> <span class="kn">import</span> <span class="n">partitioner</span>
|
||||
|
||||
|
||||
<div class="viewcode-block" id="SimplePartitioner"><a class="viewcode-back" href="../../../pyFTS.partitioners.html#pyFTS.partitioners.Simple.SimplePartitioner">[docs]</a><span class="k">class</span> <span class="nc">SimplePartitioner</span><span class="p">(</span><span class="n">partitioner</span><span class="o">.</span><span class="n">Partitioner</span><span class="p">):</span>
|
||||
<span class="sd">"""Simple Partitioner for manually informed fuzzy sets"""</span>
|
||||
<span class="w"> </span><span class="sd">"""Simple Partitioner for manually informed fuzzy sets"""</span>
|
||||
|
||||
<span class="k">def</span> <span class="nf">__init__</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="o">**</span><span class="n">kwargs</span><span class="p">):</span>
|
||||
<span class="sd">"""</span>
|
||||
<span class="k">def</span> <span class="fm">__init__</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="o">**</span><span class="n">kwargs</span><span class="p">):</span>
|
||||
<span class="w"> </span><span class="sd">"""</span>
|
||||
<span class="sd"> Simple Partitioner - the fuzzy sets are informed manually</span>
|
||||
<span class="sd"> """</span>
|
||||
<span class="n">kwargs</span><span class="p">[</span><span class="s1">'preprocess'</span><span class="p">]</span> <span class="o">=</span> <span class="kc">False</span>
|
||||
@ -76,7 +76,7 @@
|
||||
<span class="bp">self</span><span class="o">.</span><span class="n">max</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">sets</span><span class="p">[</span><span class="bp">self</span><span class="o">.</span><span class="n">ordered_sets</span><span class="p">[</span><span class="o">-</span><span class="mi">1</span><span class="p">]]</span><span class="o">.</span><span class="n">upper</span></div>
|
||||
|
||||
<div class="viewcode-block" id="SimplePartitioner.append"><a class="viewcode-back" href="../../../pyFTS.partitioners.html#pyFTS.partitioners.Simple.SimplePartitioner.append">[docs]</a> <span class="k">def</span> <span class="nf">append</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">name</span><span class="p">,</span> <span class="n">mf</span><span class="p">,</span> <span class="n">parameters</span><span class="p">,</span> <span class="o">**</span><span class="n">kwargs</span><span class="p">):</span>
|
||||
<span class="sd">"""</span>
|
||||
<span class="w"> </span><span class="sd">"""</span>
|
||||
<span class="sd"> Append a new partition (fuzzy set) to the partitioner</span>
|
||||
|
||||
<span class="sd"> :param name: Fuzzy set name</span>
|
||||
@ -168,7 +168,7 @@
|
||||
</div>
|
||||
<div class="footer" role="contentinfo">
|
||||
© Copyright 2022, Machine Intelligence and Data Science Laboratory - UFMG - Brazil.
|
||||
Created using <a href="https://www.sphinx-doc.org/">Sphinx</a> 4.5.0.
|
||||
Created using <a href="https://www.sphinx-doc.org/">Sphinx</a> 4.3.2.
|
||||
</div>
|
||||
</body>
|
||||
</html>
|
||||
@ -49,15 +49,15 @@
|
||||
<span class="kn">import</span> <span class="nn">math</span>
|
||||
<span class="kn">import</span> <span class="nn">random</span> <span class="k">as</span> <span class="nn">rnd</span>
|
||||
<span class="kn">import</span> <span class="nn">functools</span><span class="o">,</span> <span class="nn">operator</span>
|
||||
<span class="kn">from</span> <span class="nn">pyFTS.common</span> <span class="k">import</span> <span class="n">FuzzySet</span><span class="p">,</span> <span class="n">Membership</span>
|
||||
<span class="kn">from</span> <span class="nn">pyFTS.partitioners</span> <span class="k">import</span> <span class="n">partitioner</span>
|
||||
<span class="kn">from</span> <span class="nn">pyFTS.common</span> <span class="kn">import</span> <span class="n">FuzzySet</span><span class="p">,</span> <span class="n">Membership</span>
|
||||
<span class="kn">from</span> <span class="nn">pyFTS.partitioners</span> <span class="kn">import</span> <span class="n">partitioner</span>
|
||||
|
||||
|
||||
<div class="viewcode-block" id="SingletonPartitioner"><a class="viewcode-back" href="../../../pyFTS.partitioners.html#pyFTS.partitioners.Singleton.SingletonPartitioner">[docs]</a><span class="k">class</span> <span class="nc">SingletonPartitioner</span><span class="p">(</span><span class="n">partitioner</span><span class="o">.</span><span class="n">Partitioner</span><span class="p">):</span>
|
||||
<span class="sd">"""Singleton Partitioner: Create singleton fuzzy sets for each distinct value in UoD"""</span>
|
||||
<span class="w"> </span><span class="sd">"""Singleton Partitioner: Create singleton fuzzy sets for each distinct value in UoD"""</span>
|
||||
|
||||
<span class="k">def</span> <span class="nf">__init__</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="o">**</span><span class="n">kwargs</span><span class="p">):</span>
|
||||
<span class="sd">"""</span>
|
||||
<span class="k">def</span> <span class="fm">__init__</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="o">**</span><span class="n">kwargs</span><span class="p">):</span>
|
||||
<span class="w"> </span><span class="sd">"""</span>
|
||||
<span class="sd"> Singleton Partitioner</span>
|
||||
<span class="sd"> """</span>
|
||||
<span class="nb">super</span><span class="p">(</span><span class="n">SingletonPartitioner</span><span class="p">,</span> <span class="bp">self</span><span class="p">)</span><span class="o">.</span><span class="fm">__init__</span><span class="p">(</span><span class="n">name</span><span class="o">=</span><span class="s2">"Singleton"</span><span class="p">,</span> <span class="o">**</span><span class="n">kwargs</span><span class="p">)</span>
|
||||
@ -110,7 +110,7 @@
|
||||
</div>
|
||||
<div class="footer" role="contentinfo">
|
||||
© Copyright 2022, Machine Intelligence and Data Science Laboratory - UFMG - Brazil.
|
||||
Created using <a href="https://www.sphinx-doc.org/">Sphinx</a> 4.5.0.
|
||||
Created using <a href="https://www.sphinx-doc.org/">Sphinx</a> 4.3.2.
|
||||
</div>
|
||||
</body>
|
||||
</html>
|
||||
@ -51,8 +51,8 @@
|
||||
<span class="kn">import</span> <span class="nn">math</span>
|
||||
<span class="kn">import</span> <span class="nn">random</span> <span class="k">as</span> <span class="nn">rnd</span>
|
||||
<span class="kn">import</span> <span class="nn">functools</span><span class="o">,</span> <span class="nn">operator</span>
|
||||
<span class="kn">from</span> <span class="nn">pyFTS.common</span> <span class="k">import</span> <span class="n">FuzzySet</span><span class="p">,</span> <span class="n">Membership</span>
|
||||
<span class="kn">from</span> <span class="nn">pyFTS.partitioners</span> <span class="k">import</span> <span class="n">partitioner</span>
|
||||
<span class="kn">from</span> <span class="nn">pyFTS.common</span> <span class="kn">import</span> <span class="n">FuzzySet</span><span class="p">,</span> <span class="n">Membership</span>
|
||||
<span class="kn">from</span> <span class="nn">pyFTS.partitioners</span> <span class="kn">import</span> <span class="n">partitioner</span>
|
||||
|
||||
|
||||
<div class="viewcode-block" id="imax"><a class="viewcode-back" href="../../../pyFTS.partitioners.html#pyFTS.partitioners.SubClust.imax">[docs]</a><span class="k">def</span> <span class="nf">imax</span><span class="p">(</span><span class="n">vec</span><span class="p">):</span>
|
||||
@ -105,8 +105,8 @@
|
||||
|
||||
|
||||
<div class="viewcode-block" id="SubClustPartitioner"><a class="viewcode-back" href="../../../pyFTS.partitioners.html#pyFTS.partitioners.SubClust.SubClustPartitioner">[docs]</a><span class="k">class</span> <span class="nc">SubClustPartitioner</span><span class="p">(</span><span class="n">partitioner</span><span class="o">.</span><span class="n">Partitioner</span><span class="p">):</span>
|
||||
<span class="sd">"""Subtractive Clustering Partitioner"""</span>
|
||||
<span class="k">def</span> <span class="nf">__init__</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="o">**</span><span class="n">kwargs</span><span class="p">):</span>
|
||||
<span class="w"> </span><span class="sd">"""Subtractive Clustering Partitioner"""</span>
|
||||
<span class="k">def</span> <span class="fm">__init__</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="o">**</span><span class="n">kwargs</span><span class="p">):</span>
|
||||
<span class="bp">self</span><span class="o">.</span><span class="n">ra</span> <span class="o">=</span> <span class="n">kwargs</span><span class="o">.</span><span class="n">get</span><span class="p">(</span><span class="s1">'ra'</span><span class="p">,</span> <span class="mf">0.8</span><span class="p">)</span>
|
||||
<span class="bp">self</span><span class="o">.</span><span class="n">rb</span> <span class="o">=</span> <span class="n">kwargs</span><span class="o">.</span><span class="n">get</span><span class="p">(</span><span class="s1">'rb'</span><span class="p">,</span> <span class="bp">self</span><span class="o">.</span><span class="n">ra</span> <span class="o">*</span> <span class="mf">1.5</span><span class="p">)</span>
|
||||
<span class="bp">self</span><span class="o">.</span><span class="n">eps_sup</span> <span class="o">=</span> <span class="n">kwargs</span><span class="o">.</span><span class="n">get</span><span class="p">(</span><span class="s1">'eps_sup'</span><span class="p">,</span> <span class="mf">0.5</span><span class="p">)</span>
|
||||
@ -177,7 +177,7 @@
|
||||
</div>
|
||||
<div class="footer" role="contentinfo">
|
||||
© Copyright 2022, Machine Intelligence and Data Science Laboratory - UFMG - Brazil.
|
||||
Created using <a href="https://www.sphinx-doc.org/">Sphinx</a> 4.5.0.
|
||||
Created using <a href="https://www.sphinx-doc.org/">Sphinx</a> 4.3.2.
|
||||
</div>
|
||||
</body>
|
||||
</html>
|
||||
@ -43,49 +43,49 @@
|
||||
<div class="body" role="main">
|
||||
|
||||
<h1>Source code for pyFTS.partitioners.partitioner</h1><div class="highlight"><pre>
|
||||
<span></span><span class="kn">from</span> <span class="nn">pyFTS.common</span> <span class="k">import</span> <span class="n">FuzzySet</span><span class="p">,</span> <span class="n">Membership</span>
|
||||
<span></span><span class="kn">from</span> <span class="nn">pyFTS.common</span> <span class="kn">import</span> <span class="n">FuzzySet</span><span class="p">,</span> <span class="n">Membership</span>
|
||||
<span class="kn">import</span> <span class="nn">numpy</span> <span class="k">as</span> <span class="nn">np</span>
|
||||
<span class="kn">from</span> <span class="nn">scipy.spatial</span> <span class="k">import</span> <span class="n">KDTree</span>
|
||||
<span class="kn">from</span> <span class="nn">scipy.spatial</span> <span class="kn">import</span> <span class="n">KDTree</span>
|
||||
|
||||
|
||||
<div class="viewcode-block" id="Partitioner"><a class="viewcode-back" href="../../../pyFTS.partitioners.html#pyFTS.partitioners.partitioner.Partitioner">[docs]</a><span class="k">class</span> <span class="nc">Partitioner</span><span class="p">(</span><span class="nb">object</span><span class="p">):</span>
|
||||
<span class="sd">"""</span>
|
||||
<span class="w"> </span><span class="sd">"""</span>
|
||||
<span class="sd"> Universe of Discourse partitioner. Split data on several fuzzy sets</span>
|
||||
<span class="sd"> """</span>
|
||||
|
||||
<span class="k">def</span> <span class="nf">__init__</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="o">**</span><span class="n">kwargs</span><span class="p">):</span>
|
||||
<span class="sd">"""</span>
|
||||
<span class="k">def</span> <span class="fm">__init__</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="o">**</span><span class="n">kwargs</span><span class="p">):</span>
|
||||
<span class="w"> </span><span class="sd">"""</span>
|
||||
<span class="sd"> Universe of Discourse partitioner scheme. Split data on several fuzzy sets</span>
|
||||
<span class="sd"> """</span>
|
||||
<span class="bp">self</span><span class="o">.</span><span class="n">name</span> <span class="p">:</span> <span class="nb">str</span> <span class="o">=</span> <span class="n">kwargs</span><span class="o">.</span><span class="n">get</span><span class="p">(</span><span class="s1">'name'</span><span class="p">,</span><span class="s2">""</span><span class="p">)</span>
|
||||
<span class="sd">"""partitioner name"""</span>
|
||||
<span class="w"> </span><span class="sd">"""partitioner name"""</span>
|
||||
<span class="bp">self</span><span class="o">.</span><span class="n">partitions</span> <span class="p">:</span> <span class="nb">int</span> <span class="o">=</span> <span class="n">kwargs</span><span class="o">.</span><span class="n">get</span><span class="p">(</span><span class="s1">'npart'</span><span class="p">,</span> <span class="mi">10</span><span class="p">)</span>
|
||||
<span class="sd">"""The number of universe of discourse partitions, i.e., the number of fuzzy sets that will be created"""</span>
|
||||
<span class="w"> </span><span class="sd">"""The number of universe of discourse partitions, i.e., the number of fuzzy sets that will be created"""</span>
|
||||
<span class="bp">self</span><span class="o">.</span><span class="n">sets</span> <span class="p">:</span> <span class="nb">dict</span> <span class="o">=</span> <span class="p">{}</span>
|
||||
<span class="sd">"""The fuzzy sets dictionary"""</span>
|
||||
<span class="w"> </span><span class="sd">"""The fuzzy sets dictionary"""</span>
|
||||
<span class="bp">self</span><span class="o">.</span><span class="n">membership_function</span> <span class="o">=</span> <span class="n">kwargs</span><span class="o">.</span><span class="n">get</span><span class="p">(</span><span class="s1">'func'</span><span class="p">,</span> <span class="n">Membership</span><span class="o">.</span><span class="n">trimf</span><span class="p">)</span>
|
||||
<span class="sd">"""Fuzzy membership function (pyFTS.common.Membership)"""</span>
|
||||
<span class="w"> </span><span class="sd">"""Fuzzy membership function (pyFTS.common.Membership)"""</span>
|
||||
<span class="bp">self</span><span class="o">.</span><span class="n">setnames</span> <span class="p">:</span> <span class="nb">list</span> <span class="o">=</span> <span class="n">kwargs</span><span class="o">.</span><span class="n">get</span><span class="p">(</span><span class="s1">'names'</span><span class="p">,</span> <span class="kc">None</span><span class="p">)</span>
|
||||
<span class="sd">"""list of partitions names. If None is given the partitions will be auto named with prefix"""</span>
|
||||
<span class="w"> </span><span class="sd">"""list of partitions names. If None is given the partitions will be auto named with prefix"""</span>
|
||||
<span class="bp">self</span><span class="o">.</span><span class="n">prefix</span> <span class="p">:</span> <span class="nb">str</span> <span class="o">=</span> <span class="n">kwargs</span><span class="o">.</span><span class="n">get</span><span class="p">(</span><span class="s1">'prefix'</span><span class="p">,</span> <span class="s1">'A'</span><span class="p">)</span>
|
||||
<span class="sd">"""prefix of auto generated partition names"""</span>
|
||||
<span class="w"> </span><span class="sd">"""prefix of auto generated partition names"""</span>
|
||||
<span class="bp">self</span><span class="o">.</span><span class="n">transformation</span> <span class="o">=</span> <span class="n">kwargs</span><span class="o">.</span><span class="n">get</span><span class="p">(</span><span class="s1">'transformation'</span><span class="p">,</span> <span class="kc">None</span><span class="p">)</span>
|
||||
<span class="sd">"""data transformation to be applied on data"""</span>
|
||||
<span class="w"> </span><span class="sd">"""data transformation to be applied on data"""</span>
|
||||
<span class="bp">self</span><span class="o">.</span><span class="n">indexer</span> <span class="o">=</span> <span class="n">kwargs</span><span class="o">.</span><span class="n">get</span><span class="p">(</span><span class="s1">'indexer'</span><span class="p">,</span> <span class="kc">None</span><span class="p">)</span>
|
||||
<span class="bp">self</span><span class="o">.</span><span class="n">variable</span> <span class="o">=</span> <span class="n">kwargs</span><span class="o">.</span><span class="n">get</span><span class="p">(</span><span class="s1">'variable'</span><span class="p">,</span> <span class="kc">None</span><span class="p">)</span>
|
||||
<span class="sd">"""In a multivariate context, the variable that contains this partitioner"""</span>
|
||||
<span class="w"> </span><span class="sd">"""In a multivariate context, the variable that contains this partitioner"""</span>
|
||||
<span class="bp">self</span><span class="o">.</span><span class="n">type</span> <span class="p">:</span> <span class="nb">str</span> <span class="o">=</span> <span class="n">kwargs</span><span class="o">.</span><span class="n">get</span><span class="p">(</span><span class="s1">'type'</span><span class="p">,</span> <span class="s1">'common'</span><span class="p">)</span>
|
||||
<span class="sd">"""The type of fuzzy sets that are generated by this partitioner"""</span>
|
||||
<span class="w"> </span><span class="sd">"""The type of fuzzy sets that are generated by this partitioner"""</span>
|
||||
<span class="bp">self</span><span class="o">.</span><span class="n">ordered_sets</span> <span class="p">:</span> <span class="nb">list</span> <span class="o">=</span> <span class="kc">None</span>
|
||||
<span class="sd">"""A ordered list of the fuzzy sets names, sorted by their middle point"""</span>
|
||||
<span class="w"> </span><span class="sd">"""A ordered list of the fuzzy sets names, sorted by their middle point"""</span>
|
||||
<span class="bp">self</span><span class="o">.</span><span class="n">kdtree</span> <span class="p">:</span> <span class="n">KDTree</span> <span class="o">=</span> <span class="kc">None</span>
|
||||
<span class="sd">"""A spatial index to help in fuzzyfication"""</span>
|
||||
<span class="w"> </span><span class="sd">"""A spatial index to help in fuzzyfication"""</span>
|
||||
<span class="bp">self</span><span class="o">.</span><span class="n">margin</span> <span class="p">:</span> <span class="nb">float</span> <span class="o">=</span> <span class="n">kwargs</span><span class="o">.</span><span class="n">get</span><span class="p">(</span><span class="s2">"margin"</span><span class="p">,</span> <span class="mf">0.1</span><span class="p">)</span>
|
||||
<span class="sd">"""The upper and lower exceeding margins for the known UoD. The default value is .1"""</span>
|
||||
<span class="w"> </span><span class="sd">"""The upper and lower exceeding margins for the known UoD. The default value is .1"""</span>
|
||||
<span class="bp">self</span><span class="o">.</span><span class="n">lower_margin</span> <span class="p">:</span> <span class="nb">float</span> <span class="o">=</span> <span class="n">kwargs</span><span class="o">.</span><span class="n">get</span><span class="p">(</span><span class="s2">"lower_margin"</span><span class="p">,</span> <span class="bp">self</span><span class="o">.</span><span class="n">margin</span><span class="p">)</span>
|
||||
<span class="sd">"""Specific lower exceeding margins for the known UoD. The default value is the self.margin parameter"""</span>
|
||||
<span class="w"> </span><span class="sd">"""Specific lower exceeding margins for the known UoD. The default value is the self.margin parameter"""</span>
|
||||
<span class="bp">self</span><span class="o">.</span><span class="n">upper_margin</span> <span class="p">:</span> <span class="nb">float</span> <span class="o">=</span> <span class="n">kwargs</span><span class="o">.</span><span class="n">get</span><span class="p">(</span><span class="s2">"lower_margin"</span><span class="p">,</span> <span class="bp">self</span><span class="o">.</span><span class="n">margin</span><span class="p">)</span>
|
||||
<span class="sd">"""Specific upper exceeding margins for the known UoD. The default value is the self.margin parameter"""</span>
|
||||
<span class="w"> </span><span class="sd">"""Specific upper exceeding margins for the known UoD. The default value is the self.margin parameter"""</span>
|
||||
|
||||
<span class="k">if</span> <span class="n">kwargs</span><span class="o">.</span><span class="n">get</span><span class="p">(</span><span class="s1">'preprocess'</span><span class="p">,</span><span class="kc">True</span><span class="p">):</span>
|
||||
|
||||
@ -126,11 +126,11 @@
|
||||
<span class="k">del</span><span class="p">(</span><span class="n">ndata</span><span class="p">)</span>
|
||||
|
||||
<div class="viewcode-block" id="Partitioner.extractor"><a class="viewcode-back" href="../../../pyFTS.partitioners.html#pyFTS.partitioners.partitioner.Partitioner.extractor">[docs]</a> <span class="k">def</span> <span class="nf">extractor</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span><span class="n">x</span><span class="p">):</span>
|
||||
<span class="sd">"""Extract a single primitive type from an structured instance"""</span>
|
||||
<span class="w"> </span><span class="sd">"""Extract a single primitive type from an structured instance"""</span>
|
||||
<span class="k">return</span> <span class="n">x</span></div>
|
||||
|
||||
<div class="viewcode-block" id="Partitioner.build"><a class="viewcode-back" href="../../../pyFTS.partitioners.html#pyFTS.partitioners.partitioner.Partitioner.build">[docs]</a> <span class="k">def</span> <span class="nf">build</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">data</span><span class="p">):</span>
|
||||
<span class="sd">"""</span>
|
||||
<span class="w"> </span><span class="sd">"""</span>
|
||||
<span class="sd"> Perform the partitioning of the Universe of Discourse</span>
|
||||
|
||||
<span class="sd"> :param data: training data</span>
|
||||
@ -139,7 +139,7 @@
|
||||
<span class="k">pass</span></div>
|
||||
|
||||
<div class="viewcode-block" id="Partitioner.get_name"><a class="viewcode-back" href="../../../pyFTS.partitioners.html#pyFTS.partitioners.partitioner.Partitioner.get_name">[docs]</a> <span class="k">def</span> <span class="nf">get_name</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">counter</span><span class="p">):</span>
|
||||
<span class="sd">"""</span>
|
||||
<span class="w"> </span><span class="sd">"""</span>
|
||||
<span class="sd"> Find the name of the fuzzy set given its counter id.</span>
|
||||
|
||||
<span class="sd"> :param counter: The number of the fuzzy set</span>
|
||||
@ -148,7 +148,7 @@
|
||||
<span class="k">return</span> <span class="bp">self</span><span class="o">.</span><span class="n">prefix</span> <span class="o">+</span> <span class="nb">str</span><span class="p">(</span><span class="n">counter</span><span class="p">)</span> <span class="k">if</span> <span class="bp">self</span><span class="o">.</span><span class="n">setnames</span> <span class="ow">is</span> <span class="kc">None</span> <span class="k">else</span> <span class="bp">self</span><span class="o">.</span><span class="n">setnames</span><span class="p">[</span><span class="n">counter</span><span class="p">]</span></div>
|
||||
|
||||
<div class="viewcode-block" id="Partitioner.lower_set"><a class="viewcode-back" href="../../../pyFTS.partitioners.html#pyFTS.partitioners.partitioner.Partitioner.lower_set">[docs]</a> <span class="k">def</span> <span class="nf">lower_set</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
|
||||
<span class="sd">"""</span>
|
||||
<span class="w"> </span><span class="sd">"""</span>
|
||||
<span class="sd"> Return the fuzzy set on lower bound of the universe of discourse.</span>
|
||||
|
||||
<span class="sd"> :return: Fuzzy Set</span>
|
||||
@ -156,7 +156,7 @@
|
||||
<span class="k">return</span> <span class="bp">self</span><span class="o">.</span><span class="n">sets</span><span class="p">[</span><span class="bp">self</span><span class="o">.</span><span class="n">ordered_sets</span><span class="p">[</span><span class="mi">0</span><span class="p">]]</span></div>
|
||||
|
||||
<div class="viewcode-block" id="Partitioner.upper_set"><a class="viewcode-back" href="../../../pyFTS.partitioners.html#pyFTS.partitioners.partitioner.Partitioner.upper_set">[docs]</a> <span class="k">def</span> <span class="nf">upper_set</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
|
||||
<span class="sd">"""</span>
|
||||
<span class="w"> </span><span class="sd">"""</span>
|
||||
<span class="sd"> Return the fuzzy set on upper bound of the universe of discourse.</span>
|
||||
|
||||
<span class="sd"> :return: Fuzzy Set</span>
|
||||
@ -181,7 +181,7 @@
|
||||
<span class="n">sys</span><span class="o">.</span><span class="n">setrecursionlimit</span><span class="p">(</span><span class="mi">1000</span><span class="p">)</span></div>
|
||||
|
||||
<div class="viewcode-block" id="Partitioner.fuzzyfy"><a class="viewcode-back" href="../../../pyFTS.partitioners.html#pyFTS.partitioners.partitioner.Partitioner.fuzzyfy">[docs]</a> <span class="k">def</span> <span class="nf">fuzzyfy</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">data</span><span class="p">,</span> <span class="o">**</span><span class="n">kwargs</span><span class="p">):</span>
|
||||
<span class="sd">"""</span>
|
||||
<span class="w"> </span><span class="sd">"""</span>
|
||||
<span class="sd"> Fuzzyfy the input data according to this partitioner fuzzy sets.</span>
|
||||
|
||||
<span class="sd"> :param data: input value to be fuzzyfied</span>
|
||||
@ -261,7 +261,7 @@
|
||||
<span class="k">return</span> <span class="n">np</span><span class="o">.</span><span class="n">nanmean</span><span class="p">(</span><span class="n">num</span><span class="p">)</span></div>
|
||||
|
||||
<div class="viewcode-block" id="Partitioner.check_bounds"><a class="viewcode-back" href="../../../pyFTS.partitioners.html#pyFTS.partitioners.partitioner.Partitioner.check_bounds">[docs]</a> <span class="k">def</span> <span class="nf">check_bounds</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">data</span><span class="p">):</span>
|
||||
<span class="sd">"""</span>
|
||||
<span class="w"> </span><span class="sd">"""</span>
|
||||
<span class="sd"> Check if the input data is outside the known Universe of Discourse and, if it is, round it to the closest</span>
|
||||
<span class="sd"> fuzzy set.</span>
|
||||
|
||||
@ -276,7 +276,7 @@
|
||||
<span class="k">return</span> <span class="bp">self</span><span class="o">.</span><span class="n">partitions</span><span class="o">-</span><span class="mi">1</span></div>
|
||||
|
||||
<div class="viewcode-block" id="Partitioner.search"><a class="viewcode-back" href="../../../pyFTS.partitioners.html#pyFTS.partitioners.partitioner.Partitioner.search">[docs]</a> <span class="k">def</span> <span class="nf">search</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">data</span><span class="p">,</span> <span class="o">**</span><span class="n">kwargs</span><span class="p">):</span>
|
||||
<span class="sd">"""</span>
|
||||
<span class="w"> </span><span class="sd">"""</span>
|
||||
<span class="sd"> Perform a search for the nearest fuzzy sets of the point 'data'. This function were designed to work with several</span>
|
||||
<span class="sd"> overlapped fuzzy sets.</span>
|
||||
|
||||
@ -301,7 +301,7 @@
|
||||
|
||||
|
||||
<div class="viewcode-block" id="Partitioner.plot"><a class="viewcode-back" href="../../../pyFTS.partitioners.html#pyFTS.partitioners.partitioner.Partitioner.plot">[docs]</a> <span class="k">def</span> <span class="nf">plot</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">ax</span><span class="p">,</span> <span class="n">rounding</span><span class="o">=</span><span class="mi">0</span><span class="p">):</span>
|
||||
<span class="sd">"""</span>
|
||||
<span class="w"> </span><span class="sd">"""</span>
|
||||
<span class="sd"> Plot the partitioning using the Matplotlib axis ax</span>
|
||||
|
||||
<span class="sd"> :param ax: Matplotlib axis</span>
|
||||
@ -324,7 +324,7 @@
|
||||
<span class="n">ax</span><span class="o">.</span><span class="n">xaxis</span><span class="o">.</span><span class="n">set_ticks</span><span class="p">(</span><span class="n">x</span><span class="p">)</span></div>
|
||||
|
||||
<div class="viewcode-block" id="Partitioner.plot_set"><a class="viewcode-back" href="../../../pyFTS.partitioners.html#pyFTS.partitioners.partitioner.Partitioner.plot_set">[docs]</a> <span class="k">def</span> <span class="nf">plot_set</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">ax</span><span class="p">,</span> <span class="n">s</span><span class="p">):</span>
|
||||
<span class="sd">"""</span>
|
||||
<span class="w"> </span><span class="sd">"""</span>
|
||||
<span class="sd"> Plot an isolate fuzzy set on Matplotlib axis</span>
|
||||
|
||||
<span class="sd"> :param ax: Matplotlib axis</span>
|
||||
@ -341,8 +341,8 @@
|
||||
<span class="k">elif</span> <span class="n">s</span><span class="o">.</span><span class="n">mf</span> <span class="o">==</span> <span class="n">Membership</span><span class="o">.</span><span class="n">singleton</span><span class="p">:</span>
|
||||
<span class="n">ax</span><span class="o">.</span><span class="n">plot</span><span class="p">([</span><span class="n">s</span><span class="o">.</span><span class="n">parameters</span><span class="p">[</span><span class="mi">0</span><span class="p">],</span><span class="n">s</span><span class="o">.</span><span class="n">parameters</span><span class="p">[</span><span class="mi">0</span><span class="p">]],</span> <span class="p">[</span><span class="mi">0</span><span class="p">,</span> <span class="n">s</span><span class="o">.</span><span class="n">alpha</span><span class="p">])</span></div>
|
||||
|
||||
<span class="k">def</span> <span class="nf">__str__</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
|
||||
<span class="sd">"""</span>
|
||||
<span class="k">def</span> <span class="fm">__str__</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
|
||||
<span class="w"> </span><span class="sd">"""</span>
|
||||
<span class="sd"> Return a string representation of the partitioner, the list of fuzzy sets and their parameters</span>
|
||||
|
||||
<span class="sd"> :return:</span>
|
||||
@ -352,23 +352,23 @@
|
||||
<span class="n">tmp</span> <span class="o">+=</span> <span class="nb">str</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">sets</span><span class="p">[</span><span class="n">key</span><span class="p">])</span><span class="o">+</span> <span class="s2">"</span><span class="se">\n</span><span class="s2">"</span>
|
||||
<span class="k">return</span> <span class="n">tmp</span>
|
||||
|
||||
<span class="k">def</span> <span class="nf">__len__</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
|
||||
<span class="sd">"""</span>
|
||||
<span class="k">def</span> <span class="fm">__len__</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
|
||||
<span class="w"> </span><span class="sd">"""</span>
|
||||
<span class="sd"> Return the number of partitions</span>
|
||||
|
||||
<span class="sd"> :return: number of partitions</span>
|
||||
<span class="sd"> """</span>
|
||||
<span class="k">return</span> <span class="bp">self</span><span class="o">.</span><span class="n">partitions</span>
|
||||
|
||||
<span class="k">def</span> <span class="nf">__getitem__</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">item</span><span class="p">):</span>
|
||||
<span class="sd">"""</span>
|
||||
<span class="k">def</span> <span class="fm">__getitem__</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">item</span><span class="p">):</span>
|
||||
<span class="w"> </span><span class="sd">"""</span>
|
||||
<span class="sd"> Return a fuzzy set by its order or its name.</span>
|
||||
|
||||
<span class="sd"> :param item: If item is an integer then it represents the fuzzy set index (order), if it was a string then</span>
|
||||
<span class="sd"> it represents the fuzzy set name.</span>
|
||||
<span class="sd"> :return: the fuzzy set</span>
|
||||
<span class="sd"> """</span>
|
||||
<span class="k">if</span> <span class="nb">isinstance</span><span class="p">(</span><span class="n">item</span><span class="p">,</span> <span class="p">(</span><span class="nb">int</span><span class="p">,</span> <span class="n">np</span><span class="o">.</span><span class="n">int</span><span class="p">,</span> <span class="n">np</span><span class="o">.</span><span class="n">int8</span><span class="p">,</span> <span class="n">np</span><span class="o">.</span><span class="n">int16</span><span class="p">,</span> <span class="n">np</span><span class="o">.</span><span class="n">int32</span><span class="p">,</span> <span class="n">np</span><span class="o">.</span><span class="n">int64</span><span class="p">)):</span>
|
||||
<span class="k">if</span> <span class="nb">isinstance</span><span class="p">(</span><span class="n">item</span><span class="p">,</span> <span class="p">(</span><span class="nb">int</span><span class="p">,</span> <span class="n">np</span><span class="o">.</span><span class="n">int8</span><span class="p">,</span> <span class="n">np</span><span class="o">.</span><span class="n">int16</span><span class="p">,</span> <span class="n">np</span><span class="o">.</span><span class="n">int32</span><span class="p">,</span> <span class="n">np</span><span class="o">.</span><span class="n">int64</span><span class="p">)):</span>
|
||||
<span class="k">if</span> <span class="n">item</span> <span class="o"><</span> <span class="mi">0</span> <span class="ow">or</span> <span class="n">item</span> <span class="o">>=</span> <span class="bp">self</span><span class="o">.</span><span class="n">partitions</span><span class="p">:</span>
|
||||
<span class="k">raise</span> <span class="ne">ValueError</span><span class="p">(</span><span class="s2">"The fuzzy set index must be between 0 and </span><span class="si">{}</span><span class="s2">."</span><span class="o">.</span><span class="n">format</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">partitions</span><span class="p">))</span>
|
||||
<span class="k">return</span> <span class="bp">self</span><span class="o">.</span><span class="n">sets</span><span class="p">[</span><span class="bp">self</span><span class="o">.</span><span class="n">ordered_sets</span><span class="p">[</span><span class="n">item</span><span class="p">]]</span>
|
||||
@ -380,8 +380,8 @@
|
||||
<span class="k">raise</span> <span class="ne">ValueError</span><span class="p">(</span><span class="s2">"The parameter 'item' must be an integer or a string and the value informed was </span><span class="si">{}</span><span class="s2"> of type </span><span class="si">{}</span><span class="s2">!"</span><span class="o">.</span><span class="n">format</span><span class="p">(</span><span class="n">item</span><span class="p">,</span> <span class="nb">type</span><span class="p">(</span><span class="n">item</span><span class="p">)))</span>
|
||||
|
||||
|
||||
<span class="k">def</span> <span class="nf">__iter__</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
|
||||
<span class="sd">"""</span>
|
||||
<span class="k">def</span> <span class="fm">__iter__</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
|
||||
<span class="w"> </span><span class="sd">"""</span>
|
||||
<span class="sd"> Iterate over the fuzzy sets, ordered by its midpoints.</span>
|
||||
|
||||
<span class="sd"> :return: An iterator over the fuzzy sets.</span>
|
||||
@ -427,7 +427,7 @@
|
||||
</div>
|
||||
<div class="footer" role="contentinfo">
|
||||
© Copyright 2022, Machine Intelligence and Data Science Laboratory - UFMG - Brazil.
|
||||
Created using <a href="https://www.sphinx-doc.org/">Sphinx</a> 4.5.0.
|
||||
Created using <a href="https://www.sphinx-doc.org/">Sphinx</a> 4.3.2.
|
||||
</div>
|
||||
</body>
|
||||
</html>
|
||||
@ -12,6 +12,14 @@ Module contents
|
||||
Submodules
|
||||
----------
|
||||
|
||||
pyFTS.common.Activations module
|
||||
-------------------------------
|
||||
|
||||
.. automodule:: pyFTS.common.Activations
|
||||
:members:
|
||||
:undoc-members:
|
||||
:show-inheritance:
|
||||
|
||||
pyFTS.common.Composite module
|
||||
-----------------------------
|
||||
|
||||
|
||||
@ -20,6 +20,14 @@ pyFTS.partitioners.partitioner module
|
||||
:undoc-members:
|
||||
:show-inheritance:
|
||||
|
||||
pyFTS.partitioners.ClassPartitioner module
|
||||
-----------------------------------
|
||||
|
||||
.. automodule:: pyFTS.partitioners.ClassPartitioner
|
||||
:members:
|
||||
:undoc-members:
|
||||
:show-inheritance:
|
||||
|
||||
pyFTS.partitioners.CMeans module
|
||||
--------------------------------
|
||||
|
||||
|
||||
3
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vendored
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vendored
@ -4,7 +4,7 @@
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*
|
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* Sphinx stylesheet -- basic theme.
|
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*
|
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* :copyright: Copyright 2007-2022 by the Sphinx team, see AUTHORS.
|
||||
* :copyright: Copyright 2007-2021 by the Sphinx team, see AUTHORS.
|
||||
* :license: BSD, see LICENSE for details.
|
||||
*
|
||||
*/
|
||||
@ -757,7 +757,6 @@ span.pre {
|
||||
-ms-hyphens: none;
|
||||
-webkit-hyphens: none;
|
||||
hyphens: none;
|
||||
white-space: nowrap;
|
||||
}
|
||||
|
||||
div[class*="highlight-"] {
|
||||
|
||||
51
docs/build/html/_static/doctools.js
vendored
51
docs/build/html/_static/doctools.js
vendored
@ -4,7 +4,7 @@
|
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*
|
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* Sphinx JavaScript utilities for all documentation.
|
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*
|
||||
* :copyright: Copyright 2007-2022 by the Sphinx team, see AUTHORS.
|
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* :copyright: Copyright 2007-2021 by the Sphinx team, see AUTHORS.
|
||||
* :license: BSD, see LICENSE for details.
|
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*
|
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|
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@ -154,7 +154,9 @@ var Documentation = {
|
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this.fixFirefoxAnchorBug();
|
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this.highlightSearchWords();
|
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this.initIndexTable();
|
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if (DOCUMENTATION_OPTIONS.NAVIGATION_WITH_KEYS) {
|
||||
this.initOnKeyListeners();
|
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|
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|
||||
|
||||
/**
|
||||
@ -262,16 +264,6 @@ var Documentation = {
|
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hideSearchWords : function() {
|
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|
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|
||||
url.searchParams.delete('highlight');
|
||||
window.history.replaceState({}, '', url);
|
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|
||||
|
||||
/**
|
||||
* helper function to focus on search bar
|
||||
*/
|
||||
focusSearchBar : function() {
|
||||
$('input[name=q]').first().focus();
|
||||
},
|
||||
|
||||
/**
|
||||
@ -296,54 +288,27 @@ var Documentation = {
|
||||
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|
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|
||||
initOnKeyListeners: function() {
|
||||
// only install a listener if it is really needed
|
||||
if (!DOCUMENTATION_OPTIONS.NAVIGATION_WITH_KEYS &&
|
||||
!DOCUMENTATION_OPTIONS.ENABLE_SEARCH_SHORTCUTS)
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return;
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$(document).keydown(function(event) {
|
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var activeElementType = document.activeElement.tagName;
|
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// don't navigate when in search box, textarea, dropdown or button
|
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if (activeElementType !== 'TEXTAREA' && activeElementType !== 'INPUT' && activeElementType !== 'SELECT'
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&& activeElementType !== 'BUTTON') {
|
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if (event.altKey || event.ctrlKey || event.metaKey)
|
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|
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|
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|
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|
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|
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&& !event.shiftKey) {
|
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|
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case 37: // left
|
||||
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|
||||
if (prevHref) {
|
||||
window.location.href = prevHref;
|
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|
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|
||||
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|
||||
case 'ArrowRight':
|
||||
if (!DOCUMENTATION_OPTIONS.NAVIGATION_WITH_KEYS)
|
||||
break;
|
||||
case 39: // right
|
||||
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|
||||
if (nextHref) {
|
||||
window.location.href = nextHref;
|
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|
||||
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|
||||
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|
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|
||||
if (!DOCUMENTATION_OPTIONS.ENABLE_SEARCH_SHORTCUTS)
|
||||
break;
|
||||
Documentation.hideSearchWords();
|
||||
return false;
|
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|
||||
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|
||||
|
||||
// some keyboard layouts may need Shift to get /
|
||||
switch (event.key) {
|
||||
case '/':
|
||||
if (!DOCUMENTATION_OPTIONS.ENABLE_SEARCH_SHORTCUTS)
|
||||
break;
|
||||
Documentation.focusSearchBar();
|
||||
return false;
|
||||
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|
||||
}
|
||||
});
|
||||
|
||||
@ -8,7 +8,5 @@ var DOCUMENTATION_OPTIONS = {
|
||||
LINK_SUFFIX: '.html',
|
||||
HAS_SOURCE: true,
|
||||
SOURCELINK_SUFFIX: '.txt',
|
||||
NAVIGATION_WITH_KEYS: false,
|
||||
SHOW_SEARCH_SUMMARY: true,
|
||||
ENABLE_SEARCH_SHORTCUTS: true,
|
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NAVIGATION_WITH_KEYS: false
|
||||
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|
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10881
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vendored
10881
docs/build/html/_static/jquery.js
vendored
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2
docs/build/html/_static/language_data.js
vendored
2
docs/build/html/_static/language_data.js
vendored
@ -5,7 +5,7 @@
|
||||
* This script contains the language-specific data used by searchtools.js,
|
||||
* namely the list of stopwords, stemmer, scorer and splitter.
|
||||
*
|
||||
* :copyright: Copyright 2007-2022 by the Sphinx team, see AUTHORS.
|
||||
* :copyright: Copyright 2007-2021 by the Sphinx team, see AUTHORS.
|
||||
* :license: BSD, see LICENSE for details.
|
||||
*
|
||||
*/
|
||||
|
||||
5
docs/build/html/_static/pygments.css
vendored
5
docs/build/html/_static/pygments.css
vendored
@ -1,3 +1,8 @@
|
||||
pre { line-height: 125%; }
|
||||
td.linenos .normal { color: inherit; background-color: transparent; padding-left: 5px; padding-right: 5px; }
|
||||
span.linenos { color: inherit; background-color: transparent; padding-left: 5px; padding-right: 5px; }
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||||
td.linenos .special { color: #000000; background-color: #ffffc0; padding-left: 5px; padding-right: 5px; }
|
||||
span.linenos.special { color: #000000; background-color: #ffffc0; padding-left: 5px; padding-right: 5px; }
|
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.highlight .hll { background-color: #ffffcc }
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||||
.highlight { background: #eeffcc; }
|
||||
.highlight .c { color: #408090; font-style: italic } /* Comment */
|
||||
|
||||
13
docs/build/html/_static/searchtools.js
vendored
13
docs/build/html/_static/searchtools.js
vendored
@ -4,7 +4,7 @@
|
||||
*
|
||||
* Sphinx JavaScript utilities for the full-text search.
|
||||
*
|
||||
* :copyright: Copyright 2007-2022 by the Sphinx team, see AUTHORS.
|
||||
* :copyright: Copyright 2007-2021 by the Sphinx team, see AUTHORS.
|
||||
* :license: BSD, see LICENSE for details.
|
||||
*
|
||||
*/
|
||||
@ -172,6 +172,10 @@ var Search = {
|
||||
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|
||||
// stem the word
|
||||
var word = stemmer.stemWord(tmp[i].toLowerCase());
|
||||
// prevent stemmer from cutting word smaller than two chars
|
||||
if(word.length < 3 && tmp[i].length >= 3) {
|
||||
word = tmp[i];
|
||||
}
|
||||
var toAppend;
|
||||
// select the correct list
|
||||
if (word[0] == '-') {
|
||||
@ -272,7 +276,7 @@ var Search = {
|
||||
setTimeout(function() {
|
||||
displayNextItem();
|
||||
}, 5);
|
||||
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|
||||
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|
||||
$.ajax({url: requestUrl,
|
||||
dataType: "text",
|
||||
complete: function(jqxhr, textstatus) {
|
||||
@ -289,7 +293,7 @@ var Search = {
|
||||
}, 5);
|
||||
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|
||||
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|
||||
// just display title
|
||||
// no source available, just display title
|
||||
Search.output.append(listItem);
|
||||
setTimeout(function() {
|
||||
displayNextItem();
|
||||
@ -324,6 +328,9 @@ var Search = {
|
||||
var results = [];
|
||||
|
||||
for (var prefix in objects) {
|
||||
if (!(objects[prefix] instanceof Array)) {
|
||||
objects[prefix] = Object.entries(objects[prefix]).map(([name, match]) => [...match, name]);
|
||||
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|
||||
for (var iMatch = 0; iMatch != objects[prefix].length; ++iMatch) {
|
||||
var match = objects[prefix][iMatch];
|
||||
var name = match[4];
|
||||
|
||||
2042
docs/build/html/_static/underscore-1.13.1.js
vendored
Normal file
2042
docs/build/html/_static/underscore-1.13.1.js
vendored
Normal file
File diff suppressed because it is too large
Load Diff
2042
docs/build/html/_static/underscore.js
vendored
2042
docs/build/html/_static/underscore.js
vendored
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3816
docs/build/html/genindex.html
vendored
3816
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vendored
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Load Diff
25
docs/build/html/index.html
vendored
25
docs/build/html/index.html
vendored
@ -5,7 +5,8 @@
|
||||
<html>
|
||||
<head>
|
||||
<meta charset="utf-8" />
|
||||
<meta name="viewport" content="width=device-width, initial-scale=1.0" />
|
||||
<meta name="viewport" content="width=device-width, initial-scale=1.0" /><meta name="generator" content="Docutils 0.17.1: http://docutils.sourceforge.net/" />
|
||||
|
||||
<title>pyFTS - Fuzzy Time Series for Python — pyFTS 1.7 documentation</title>
|
||||
<link rel="stylesheet" type="text/css" href="_static/pygments.css" />
|
||||
<link rel="stylesheet" type="text/css" href="_static/bizstyle.css" />
|
||||
@ -45,9 +46,9 @@
|
||||
<div class="bodywrapper">
|
||||
<div class="body" role="main">
|
||||
|
||||
<div class="section" id="pyfts-fuzzy-time-series-for-python">
|
||||
<section id="pyfts-fuzzy-time-series-for-python">
|
||||
<h1>pyFTS - Fuzzy Time Series for Python<a class="headerlink" href="#pyfts-fuzzy-time-series-for-python" title="Permalink to this headline">¶</a></h1>
|
||||
<div class="section" id="what-is-pyfts-library">
|
||||
<section id="what-is-pyfts-library">
|
||||
<h2>What is pyFTS Library?<a class="headerlink" href="#what-is-pyfts-library" title="Permalink to this headline">¶</a></h2>
|
||||
<img alt="https://img.shields.io/badge/License-GPLv3-blue.svg" src="https://img.shields.io/badge/License-GPLv3-blue.svg" /><img alt="https://img.shields.io/badge/Made%20with-Python-1f425f.svg" src="https://img.shields.io/badge/Made%20with-Python-1f425f.svg" /><style>
|
||||
#forkongithub a{ background:#000; color:#fff; text-decoration:none; font-family:arial,sans-serif;
|
||||
@ -99,21 +100,21 @@ src="http://www.ifmg.edu.br/portal/imagens/logovertical.jpg" alt="IFMG" width="1
|
||||
</li>
|
||||
</ul>
|
||||
</div>
|
||||
</div>
|
||||
<div class="section" id="how-to-reference-pyfts">
|
||||
</section>
|
||||
<section id="how-to-reference-pyfts">
|
||||
<h2>How to reference pyFTS?<a class="headerlink" href="#how-to-reference-pyfts" title="Permalink to this headline">¶</a></h2>
|
||||
<a class="reference external image-reference" href="https://doi.org/10.5281/zenodo.597359"><img alt="https://zenodo.org/badge/DOI/10.5281/zenodo.597359.svg" src="https://zenodo.org/badge/DOI/10.5281/zenodo.597359.svg" /></a>
|
||||
<p>Silva, P. C. L. et al. <em>pyFTS: Fuzzy Time Series for Python.</em> Belo Horizonte. 2018. DOI: 10.5281/zenodo.597359. Url: <<a class="reference external" href="https://doi.org/10.5281/zenodo.597359">https://doi.org/10.5281/zenodo.597359</a>></p>
|
||||
</div>
|
||||
<div class="section" id="indexes">
|
||||
</section>
|
||||
<section id="indexes">
|
||||
<h2>Indexes<a class="headerlink" href="#indexes" title="Permalink to this headline">¶</a></h2>
|
||||
<ul class="simple">
|
||||
<li><p><a class="reference internal" href="genindex.html"><span class="std std-ref">Index</span></a></p></li>
|
||||
<li><p><a class="reference internal" href="py-modindex.html"><span class="std std-ref">Module Index</span></a></p></li>
|
||||
<li><p><a class="reference internal" href="search.html"><span class="std std-ref">Search Page</span></a></p></li>
|
||||
</ul>
|
||||
</div>
|
||||
</div>
|
||||
</section>
|
||||
</section>
|
||||
|
||||
|
||||
<div class="clearer"></div>
|
||||
@ -122,7 +123,6 @@ src="http://www.ifmg.edu.br/portal/imagens/logovertical.jpg" alt="IFMG" width="1
|
||||
</div>
|
||||
<div class="sphinxsidebar" role="navigation" aria-label="main navigation">
|
||||
<div class="sphinxsidebarwrapper">
|
||||
<div>
|
||||
<h3><a href="#">Table of Contents</a></h3>
|
||||
<ul>
|
||||
<li><a class="reference internal" href="#">pyFTS - Fuzzy Time Series for Python</a><ul>
|
||||
@ -133,12 +133,9 @@ src="http://www.ifmg.edu.br/portal/imagens/logovertical.jpg" alt="IFMG" width="1
|
||||
</li>
|
||||
</ul>
|
||||
|
||||
</div>
|
||||
<div>
|
||||
<h4>Next topic</h4>
|
||||
<p class="topless"><a href="quickstart.html"
|
||||
title="next chapter">pyFTS Quick Start</a></p>
|
||||
</div>
|
||||
<div role="note" aria-label="source link">
|
||||
<h3>This Page</h3>
|
||||
<ul class="this-page-menu">
|
||||
@ -178,7 +175,7 @@ src="http://www.ifmg.edu.br/portal/imagens/logovertical.jpg" alt="IFMG" width="1
|
||||
</div>
|
||||
<div class="footer" role="contentinfo">
|
||||
© Copyright 2022, Machine Intelligence and Data Science Laboratory - UFMG - Brazil.
|
||||
Created using <a href="https://www.sphinx-doc.org/">Sphinx</a> 4.5.0.
|
||||
Created using <a href="https://www.sphinx-doc.org/">Sphinx</a> 4.3.2.
|
||||
</div>
|
||||
</body>
|
||||
</html>
|
||||
75
docs/build/html/modules.html
vendored
75
docs/build/html/modules.html
vendored
@ -5,7 +5,8 @@
|
||||
<html>
|
||||
<head>
|
||||
<meta charset="utf-8" />
|
||||
<meta name="viewport" content="width=device-width, initial-scale=1.0" />
|
||||
<meta name="viewport" content="width=device-width, initial-scale=1.0" /><meta name="generator" content="Docutils 0.17.1: http://docutils.sourceforge.net/" />
|
||||
|
||||
<title>pyFTS — pyFTS 1.7 documentation</title>
|
||||
<link rel="stylesheet" type="text/css" href="_static/pygments.css" />
|
||||
<link rel="stylesheet" type="text/css" href="_static/bizstyle.css" />
|
||||
@ -49,7 +50,7 @@
|
||||
<div class="bodywrapper">
|
||||
<div class="body" role="main">
|
||||
|
||||
<div class="section" id="pyfts">
|
||||
<section id="pyfts">
|
||||
<h1>pyFTS<a class="headerlink" href="#pyfts" title="Permalink to this headline">¶</a></h1>
|
||||
<div class="toctree-wrapper compound">
|
||||
<ul>
|
||||
@ -58,30 +59,31 @@
|
||||
<li class="toctree-l3"><a class="reference internal" href="pyFTS.benchmarks.html">pyFTS.benchmarks package</a><ul>
|
||||
<li class="toctree-l4"><a class="reference internal" href="pyFTS.benchmarks.html#module-pyFTS.benchmarks">Module contents</a></li>
|
||||
<li class="toctree-l4"><a class="reference internal" href="pyFTS.benchmarks.html#submodules">Submodules</a></li>
|
||||
<li class="toctree-l4"><a class="reference internal" href="pyFTS.benchmarks.html#module-pyFTS.benchmarks.benchmarks">pyFTS.benchmarks.benchmarks module</a></li>
|
||||
<li class="toctree-l4"><a class="reference internal" href="pyFTS.benchmarks.html#module-pyFTS.benchmarks.Measures">pyFTS.benchmarks.Measures module</a></li>
|
||||
<li class="toctree-l4"><a class="reference internal" href="pyFTS.benchmarks.html#module-pyFTS.benchmarks.ResidualAnalysis">pyFTS.benchmarks.ResidualAnalysis module</a></li>
|
||||
<li class="toctree-l4"><a class="reference internal" href="pyFTS.benchmarks.html#module-pyFTS.benchmarks.Tests">pyFTS.benchmarks.Tests module</a></li>
|
||||
<li class="toctree-l4"><a class="reference internal" href="pyFTS.benchmarks.html#module-pyFTS.benchmarks.Util">pyFTS.benchmarks.Util module</a></li>
|
||||
<li class="toctree-l4"><a class="reference internal" href="pyFTS.benchmarks.html#module-pyFTS.benchmarks.arima">pyFTS.benchmarks.arima module</a></li>
|
||||
<li class="toctree-l4"><a class="reference internal" href="pyFTS.benchmarks.html#module-pyFTS.benchmarks.knn">pyFTS.benchmarks.knn module</a></li>
|
||||
<li class="toctree-l4"><a class="reference internal" href="pyFTS.benchmarks.html#module-pyFTS.benchmarks.naive">pyFTS.benchmarks.naive module</a></li>
|
||||
<li class="toctree-l4"><a class="reference internal" href="pyFTS.benchmarks.html#module-pyFTS.benchmarks.quantreg">pyFTS.benchmarks.quantreg module</a></li>
|
||||
<li class="toctree-l4"><a class="reference internal" href="pyFTS.benchmarks.html#pyfts-benchmarks-benchmarks-module">pyFTS.benchmarks.benchmarks module</a></li>
|
||||
<li class="toctree-l4"><a class="reference internal" href="pyFTS.benchmarks.html#pyfts-benchmarks-measures-module">pyFTS.benchmarks.Measures module</a></li>
|
||||
<li class="toctree-l4"><a class="reference internal" href="pyFTS.benchmarks.html#pyfts-benchmarks-residualanalysis-module">pyFTS.benchmarks.ResidualAnalysis module</a></li>
|
||||
<li class="toctree-l4"><a class="reference internal" href="pyFTS.benchmarks.html#pyfts-benchmarks-tests-module">pyFTS.benchmarks.Tests module</a></li>
|
||||
<li class="toctree-l4"><a class="reference internal" href="pyFTS.benchmarks.html#pyfts-benchmarks-util-module">pyFTS.benchmarks.Util module</a></li>
|
||||
<li class="toctree-l4"><a class="reference internal" href="pyFTS.benchmarks.html#pyfts-benchmarks-arima-module">pyFTS.benchmarks.arima module</a></li>
|
||||
<li class="toctree-l4"><a class="reference internal" href="pyFTS.benchmarks.html#pyfts-benchmarks-knn-module">pyFTS.benchmarks.knn module</a></li>
|
||||
<li class="toctree-l4"><a class="reference internal" href="pyFTS.benchmarks.html#pyfts-benchmarks-naive-module">pyFTS.benchmarks.naive module</a></li>
|
||||
<li class="toctree-l4"><a class="reference internal" href="pyFTS.benchmarks.html#pyfts-benchmarks-quantreg-module">pyFTS.benchmarks.quantreg module</a></li>
|
||||
<li class="toctree-l4"><a class="reference internal" href="pyFTS.benchmarks.html#pyfts-benchmarks-gaussianproc-module">pyFTS.benchmarks.gaussianproc module</a></li>
|
||||
<li class="toctree-l4"><a class="reference internal" href="pyFTS.benchmarks.html#module-pyFTS.benchmarks.BSTS">pyFTS.benchmarks.BSTS module</a></li>
|
||||
<li class="toctree-l4"><a class="reference internal" href="pyFTS.benchmarks.html#pyfts-benchmarks-bsts-module">pyFTS.benchmarks.BSTS module</a></li>
|
||||
</ul>
|
||||
</li>
|
||||
<li class="toctree-l3"><a class="reference internal" href="pyFTS.common.html">pyFTS.common package</a><ul>
|
||||
<li class="toctree-l4"><a class="reference internal" href="pyFTS.common.html#module-pyFTS.common">Module contents</a></li>
|
||||
<li class="toctree-l4"><a class="reference internal" href="pyFTS.common.html#submodules">Submodules</a></li>
|
||||
<li class="toctree-l4"><a class="reference internal" href="pyFTS.common.html#module-pyFTS.common.Activations">pyFTS.common.Activations module</a></li>
|
||||
<li class="toctree-l4"><a class="reference internal" href="pyFTS.common.html#module-pyFTS.common.Composite">pyFTS.common.Composite module</a></li>
|
||||
<li class="toctree-l4"><a class="reference internal" href="pyFTS.common.html#module-pyFTS.common.FLR">pyFTS.common.FLR module</a></li>
|
||||
<li class="toctree-l4"><a class="reference internal" href="pyFTS.common.html#module-pyFTS.common.FuzzySet">pyFTS.common.FuzzySet module</a></li>
|
||||
<li class="toctree-l4"><a class="reference internal" href="pyFTS.common.html#module-pyFTS.common.Membership">pyFTS.common.Membership module</a></li>
|
||||
<li class="toctree-l4"><a class="reference internal" href="pyFTS.common.html#module-pyFTS.common.SortedCollection">pyFTS.common.SortedCollection module</a></li>
|
||||
<li class="toctree-l4"><a class="reference internal" href="pyFTS.common.html#module-pyFTS.common.Util">pyFTS.common.Util module</a></li>
|
||||
<li class="toctree-l4"><a class="reference internal" href="pyFTS.common.html#pyfts-common-util-module">pyFTS.common.Util module</a></li>
|
||||
<li class="toctree-l4"><a class="reference internal" href="pyFTS.common.html#module-pyFTS.common.flrg">pyFTS.common.flrg module</a></li>
|
||||
<li class="toctree-l4"><a class="reference internal" href="pyFTS.common.html#module-pyFTS.common.fts">pyFTS.common.fts module</a></li>
|
||||
<li class="toctree-l4"><a class="reference internal" href="pyFTS.common.html#pyfts-common-fts-module">pyFTS.common.fts module</a></li>
|
||||
<li class="toctree-l4"><a class="reference internal" href="pyFTS.common.html#module-pyFTS.common.tree">pyFTS.common.tree module</a></li>
|
||||
</ul>
|
||||
</li>
|
||||
@ -97,7 +99,7 @@
|
||||
<li class="toctree-l4"><a class="reference internal" href="pyFTS.common.transformations.html#module-pyFTS.common.transformations.smoothing">pyFTS.common.transformations.smoothing module</a></li>
|
||||
<li class="toctree-l4"><a class="reference internal" href="pyFTS.common.transformations.html#module-pyFTS.common.transformations.som">pyFTS.common.transformations.som module</a></li>
|
||||
<li class="toctree-l4"><a class="reference internal" href="pyFTS.common.transformations.html#module-pyFTS.common.transformations.transformation">pyFTS.common.transformations.transformation module</a></li>
|
||||
<li class="toctree-l4"><a class="reference internal" href="pyFTS.common.transformations.html#module-pyFTS.common.transformations.trend">pyFTS.common.transformations.trend module</a></li>
|
||||
<li class="toctree-l4"><a class="reference internal" href="pyFTS.common.transformations.html#pyfts-common-transformations-trend-module">pyFTS.common.transformations.trend module</a></li>
|
||||
</ul>
|
||||
</li>
|
||||
<li class="toctree-l3"><a class="reference internal" href="pyFTS.data.html">pyFTS.data package</a><ul>
|
||||
@ -139,8 +141,8 @@
|
||||
<li class="toctree-l4"><a class="reference internal" href="pyFTS.hyperparam.html#module-pyFTS.hyperparam">Module contents</a></li>
|
||||
<li class="toctree-l4"><a class="reference internal" href="pyFTS.hyperparam.html#submodules">Submodules</a></li>
|
||||
<li class="toctree-l4"><a class="reference internal" href="pyFTS.hyperparam.html#module-pyFTS.hyperparam.Util">pyFTS.hyperparam.Util module</a></li>
|
||||
<li class="toctree-l4"><a class="reference internal" href="pyFTS.hyperparam.html#module-pyFTS.hyperparam.GridSearch">pyFTS.hyperparam.GridSearch module</a></li>
|
||||
<li class="toctree-l4"><a class="reference internal" href="pyFTS.hyperparam.html#module-pyFTS.hyperparam.Evolutionary">pyFTS.hyperparam.Evolutionary module</a></li>
|
||||
<li class="toctree-l4"><a class="reference internal" href="pyFTS.hyperparam.html#pyfts-hyperparam-gridsearch-module">pyFTS.hyperparam.GridSearch module</a></li>
|
||||
<li class="toctree-l4"><a class="reference internal" href="pyFTS.hyperparam.html#pyfts-hyperparam-evolutionary-module">pyFTS.hyperparam.Evolutionary module</a></li>
|
||||
</ul>
|
||||
</li>
|
||||
<li class="toctree-l3"><a class="reference internal" href="pyFTS.models.html">pyFTS.models package</a><ul>
|
||||
@ -154,39 +156,40 @@
|
||||
</ul>
|
||||
</li>
|
||||
<li class="toctree-l4"><a class="reference internal" href="pyFTS.models.html#submodules">Submodules</a></li>
|
||||
<li class="toctree-l4"><a class="reference internal" href="pyFTS.models.html#module-pyFTS.models.song">pyFTS.models.song module</a></li>
|
||||
<li class="toctree-l4"><a class="reference internal" href="pyFTS.models.html#module-pyFTS.models.chen">pyFTS.models.chen module</a></li>
|
||||
<li class="toctree-l4"><a class="reference internal" href="pyFTS.models.html#module-pyFTS.models.yu">pyFTS.models.yu module</a></li>
|
||||
<li class="toctree-l4"><a class="reference internal" href="pyFTS.models.html#module-pyFTS.models.cheng">pyFTS.models.cheng module</a></li>
|
||||
<li class="toctree-l4"><a class="reference internal" href="pyFTS.models.html#module-pyFTS.models.hofts">pyFTS.models.hofts module</a></li>
|
||||
<li class="toctree-l4"><a class="reference internal" href="pyFTS.models.html#module-pyFTS.models.hwang">pyFTS.models.hwang module</a></li>
|
||||
<li class="toctree-l4"><a class="reference internal" href="pyFTS.models.html#module-pyFTS.models.ifts">pyFTS.models.ifts module</a></li>
|
||||
<li class="toctree-l4"><a class="reference internal" href="pyFTS.models.html#module-pyFTS.models.ismailefendi">pyFTS.models.ismailefendi module</a></li>
|
||||
<li class="toctree-l4"><a class="reference internal" href="pyFTS.models.html#module-pyFTS.models.pwfts">pyFTS.models.pwfts module</a></li>
|
||||
<li class="toctree-l4"><a class="reference internal" href="pyFTS.models.html#module-pyFTS.models.sadaei">pyFTS.models.sadaei module</a></li>
|
||||
<li class="toctree-l4"><a class="reference internal" href="pyFTS.models.html#pyfts-models-song-module">pyFTS.models.song module</a></li>
|
||||
<li class="toctree-l4"><a class="reference internal" href="pyFTS.models.html#pyfts-models-chen-module">pyFTS.models.chen module</a></li>
|
||||
<li class="toctree-l4"><a class="reference internal" href="pyFTS.models.html#pyfts-models-yu-module">pyFTS.models.yu module</a></li>
|
||||
<li class="toctree-l4"><a class="reference internal" href="pyFTS.models.html#pyfts-models-cheng-module">pyFTS.models.cheng module</a></li>
|
||||
<li class="toctree-l4"><a class="reference internal" href="pyFTS.models.html#pyfts-models-hofts-module">pyFTS.models.hofts module</a></li>
|
||||
<li class="toctree-l4"><a class="reference internal" href="pyFTS.models.html#pyfts-models-hwang-module">pyFTS.models.hwang module</a></li>
|
||||
<li class="toctree-l4"><a class="reference internal" href="pyFTS.models.html#pyfts-models-ifts-module">pyFTS.models.ifts module</a></li>
|
||||
<li class="toctree-l4"><a class="reference internal" href="pyFTS.models.html#pyfts-models-ismailefendi-module">pyFTS.models.ismailefendi module</a></li>
|
||||
<li class="toctree-l4"><a class="reference internal" href="pyFTS.models.html#pyfts-models-pwfts-module">pyFTS.models.pwfts module</a></li>
|
||||
<li class="toctree-l4"><a class="reference internal" href="pyFTS.models.html#pyfts-models-sadaei-module">pyFTS.models.sadaei module</a></li>
|
||||
</ul>
|
||||
</li>
|
||||
<li class="toctree-l3"><a class="reference internal" href="pyFTS.partitioners.html">pyFTS.partitioners package</a><ul>
|
||||
<li class="toctree-l4"><a class="reference internal" href="pyFTS.partitioners.html#module-pyFTS.partitioners">Module contents</a></li>
|
||||
<li class="toctree-l4"><a class="reference internal" href="pyFTS.partitioners.html#submodules">Submodules</a></li>
|
||||
<li class="toctree-l4"><a class="reference internal" href="pyFTS.partitioners.html#module-pyFTS.partitioners.partitioner">pyFTS.partitioners.partitioner module</a></li>
|
||||
<li class="toctree-l4"><a class="reference internal" href="pyFTS.partitioners.html#pyfts-partitioners-classpartitioner-module">pyFTS.partitioners.ClassPartitioner module</a></li>
|
||||
<li class="toctree-l4"><a class="reference internal" href="pyFTS.partitioners.html#module-pyFTS.partitioners.CMeans">pyFTS.partitioners.CMeans module</a></li>
|
||||
<li class="toctree-l4"><a class="reference internal" href="pyFTS.partitioners.html#module-pyFTS.partitioners.Entropy">pyFTS.partitioners.Entropy module</a></li>
|
||||
<li class="toctree-l4"><a class="reference internal" href="pyFTS.partitioners.html#module-pyFTS.partitioners.FCM">pyFTS.partitioners.FCM module</a></li>
|
||||
<li class="toctree-l4"><a class="reference internal" href="pyFTS.partitioners.html#module-pyFTS.partitioners.Grid">pyFTS.partitioners.Grid module</a></li>
|
||||
<li class="toctree-l4"><a class="reference internal" href="pyFTS.partitioners.html#module-pyFTS.partitioners.Huarng">pyFTS.partitioners.Huarng module</a></li>
|
||||
<li class="toctree-l4"><a class="reference internal" href="pyFTS.partitioners.html#pyfts-partitioners-huarng-module">pyFTS.partitioners.Huarng module</a></li>
|
||||
<li class="toctree-l4"><a class="reference internal" href="pyFTS.partitioners.html#module-pyFTS.partitioners.Singleton">pyFTS.partitioners.Singleton module</a></li>
|
||||
<li class="toctree-l4"><a class="reference internal" href="pyFTS.partitioners.html#module-pyFTS.partitioners.Simple">pyFTS.partitioners.Simple module</a></li>
|
||||
<li class="toctree-l4"><a class="reference internal" href="pyFTS.partitioners.html#module-pyFTS.partitioners.SubClust">pyFTS.partitioners.SubClust module</a></li>
|
||||
<li class="toctree-l4"><a class="reference internal" href="pyFTS.partitioners.html#module-pyFTS.partitioners.Util">pyFTS.partitioners.Util module</a></li>
|
||||
<li class="toctree-l4"><a class="reference internal" href="pyFTS.partitioners.html#module-pyFTS.partitioners.parallel_util">pyFTS.partitioners.parallel_util module</a></li>
|
||||
<li class="toctree-l4"><a class="reference internal" href="pyFTS.partitioners.html#pyfts-partitioners-util-module">pyFTS.partitioners.Util module</a></li>
|
||||
<li class="toctree-l4"><a class="reference internal" href="pyFTS.partitioners.html#pyfts-partitioners-parallel-util-module">pyFTS.partitioners.parallel_util module</a></li>
|
||||
</ul>
|
||||
</li>
|
||||
<li class="toctree-l3"><a class="reference internal" href="pyFTS.probabilistic.html">pyFTS.probabilistic package</a><ul>
|
||||
<li class="toctree-l4"><a class="reference internal" href="pyFTS.probabilistic.html#module-pyFTS.probabilistic">Module contents</a></li>
|
||||
<li class="toctree-l4"><a class="reference internal" href="pyFTS.probabilistic.html#submodules">Submodules</a></li>
|
||||
<li class="toctree-l4"><a class="reference internal" href="pyFTS.probabilistic.html#module-pyFTS.probabilistic.ProbabilityDistribution">pyFTS.probabilistic.ProbabilityDistribution module</a></li>
|
||||
<li class="toctree-l4"><a class="reference internal" href="pyFTS.probabilistic.html#module-pyFTS.probabilistic.kde">pyFTS.probabilistic.kde module</a></li>
|
||||
<li class="toctree-l4"><a class="reference internal" href="pyFTS.probabilistic.html#pyfts-probabilistic-probabilitydistribution-module">pyFTS.probabilistic.ProbabilityDistribution module</a></li>
|
||||
<li class="toctree-l4"><a class="reference internal" href="pyFTS.probabilistic.html#pyfts-probabilistic-kde-module">pyFTS.probabilistic.kde module</a></li>
|
||||
</ul>
|
||||
</li>
|
||||
</ul>
|
||||
@ -198,7 +201,7 @@
|
||||
</li>
|
||||
</ul>
|
||||
</div>
|
||||
</div>
|
||||
</section>
|
||||
|
||||
|
||||
<div class="clearer"></div>
|
||||
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|
||||
</div>
|
||||
<div class="sphinxsidebar" role="navigation" aria-label="main navigation">
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<div class="sphinxsidebarwrapper">
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<div>
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<h4>Previous topic</h4>
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||||
<p class="topless"><a href="quickstart.html"
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title="previous chapter">pyFTS Quick Start</a></p>
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<div>
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<h4>Next topic</h4>
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||||
<p class="topless"><a href="pyFTS.html"
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title="next chapter">pyFTS package</a></p>
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</div>
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<div role="note" aria-label="source link">
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||||
<h3>This Page</h3>
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<ul class="this-page-menu">
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@ -259,7 +258,7 @@
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<div class="footer" role="contentinfo">
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© Copyright 2022, Machine Intelligence and Data Science Laboratory - UFMG - Brazil.
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Created using <a href="https://www.sphinx-doc.org/">Sphinx</a> 4.3.2.
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</body>
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||||
<td>   
|
||||
<a href="pyFTS.benchmarks.html#module-pyFTS.benchmarks"><code class="xref">pyFTS.benchmarks</code></a></td><td>
|
||||
<em></em></td></tr>
|
||||
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<td></td>
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||||
<a href="pyFTS.benchmarks.html#module-pyFTS.benchmarks.arima"><code class="xref">pyFTS.benchmarks.arima</code></a></td><td>
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||||
<em></em></td></tr>
|
||||
<tr class="cg-1">
|
||||
<td></td>
|
||||
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||||
<a href="pyFTS.benchmarks.html#module-pyFTS.benchmarks.benchmarks"><code class="xref">pyFTS.benchmarks.benchmarks</code></a></td><td>
|
||||
<em></em></td></tr>
|
||||
<tr class="cg-1">
|
||||
<td></td>
|
||||
<td>   
|
||||
<a href="pyFTS.benchmarks.html#module-pyFTS.benchmarks.BSTS"><code class="xref">pyFTS.benchmarks.BSTS</code></a></td><td>
|
||||
<em></em></td></tr>
|
||||
<tr class="cg-1">
|
||||
<td></td>
|
||||
<td>   
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||||
<a href="pyFTS.benchmarks.html#module-pyFTS.benchmarks.knn"><code class="xref">pyFTS.benchmarks.knn</code></a></td><td>
|
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<em></em></td></tr>
|
||||
<tr class="cg-1">
|
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<td></td>
|
||||
<td>   
|
||||
<a href="pyFTS.benchmarks.html#module-pyFTS.benchmarks.Measures"><code class="xref">pyFTS.benchmarks.Measures</code></a></td><td>
|
||||
<em></em></td></tr>
|
||||
<tr class="cg-1">
|
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<td></td>
|
||||
<td>   
|
||||
<a href="pyFTS.benchmarks.html#module-pyFTS.benchmarks.naive"><code class="xref">pyFTS.benchmarks.naive</code></a></td><td>
|
||||
<em></em></td></tr>
|
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<tr class="cg-1">
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<td></td>
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||||
<a href="pyFTS.benchmarks.html#module-pyFTS.benchmarks.quantreg"><code class="xref">pyFTS.benchmarks.quantreg</code></a></td><td>
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<em></em></td></tr>
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||||
<tr class="cg-1">
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<td></td>
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||||
<td>   
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||||
<a href="pyFTS.benchmarks.html#module-pyFTS.benchmarks.ResidualAnalysis"><code class="xref">pyFTS.benchmarks.ResidualAnalysis</code></a></td><td>
|
||||
<em></em></td></tr>
|
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<tr class="cg-1">
|
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<td></td>
|
||||
<td>   
|
||||
<a href="pyFTS.benchmarks.html#module-pyFTS.benchmarks.Tests"><code class="xref">pyFTS.benchmarks.Tests</code></a></td><td>
|
||||
<em></em></td></tr>
|
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<tr class="cg-1">
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<td></td>
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||||
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||||
<a href="pyFTS.benchmarks.html#module-pyFTS.benchmarks.Util"><code class="xref">pyFTS.benchmarks.Util</code></a></td><td>
|
||||
<em></em></td></tr>
|
||||
<tr class="cg-1">
|
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<td></td>
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||||
<td>   
|
||||
<a href="pyFTS.common.html#module-pyFTS.common"><code class="xref">pyFTS.common</code></a></td><td>
|
||||
<em></em></td></tr>
|
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<tr class="cg-1">
|
||||
<td></td>
|
||||
<td>   
|
||||
<a href="pyFTS.common.html#module-pyFTS.common.Activations"><code class="xref">pyFTS.common.Activations</code></a></td><td>
|
||||
<em></em></td></tr>
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<td></td>
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|
||||
<td>   
|
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<a href="pyFTS.common.html#module-pyFTS.common.flrg"><code class="xref">pyFTS.common.flrg</code></a></td><td>
|
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<em></em></td></tr>
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|
||||
<a href="pyFTS.common.html#module-pyFTS.common.fts"><code class="xref">pyFTS.common.fts</code></a></td><td>
|
||||
<em></em></td></tr>
|
||||
<tr class="cg-1">
|
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<td></td>
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||||
<td>   
|
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@ -201,21 +151,11 @@
|
||||
<td>   
|
||||
<a href="pyFTS.common.transformations.html#module-pyFTS.common.transformations.transformation"><code class="xref">pyFTS.common.transformations.transformation</code></a></td><td>
|
||||
<em></em></td></tr>
|
||||
<tr class="cg-1">
|
||||
<td></td>
|
||||
<td>   
|
||||
<a href="pyFTS.common.transformations.html#module-pyFTS.common.transformations.trend"><code class="xref">pyFTS.common.transformations.trend</code></a></td><td>
|
||||
<em></em></td></tr>
|
||||
<tr class="cg-1">
|
||||
<td></td>
|
||||
<td>   
|
||||
<a href="pyFTS.common.html#module-pyFTS.common.tree"><code class="xref">pyFTS.common.tree</code></a></td><td>
|
||||
<em></em></td></tr>
|
||||
<tr class="cg-1">
|
||||
<td></td>
|
||||
<td>   
|
||||
<a href="pyFTS.common.html#module-pyFTS.common.Util"><code class="xref">pyFTS.common.Util</code></a></td><td>
|
||||
<em></em></td></tr>
|
||||
<tr class="cg-1">
|
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<td></td>
|
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<td>   
|
||||
@ -346,16 +286,6 @@
|
||||
<td>   
|
||||
<a href="pyFTS.hyperparam.html#module-pyFTS.hyperparam"><code class="xref">pyFTS.hyperparam</code></a></td><td>
|
||||
<em></em></td></tr>
|
||||
<tr class="cg-1">
|
||||
<td></td>
|
||||
<td>   
|
||||
<a href="pyFTS.hyperparam.html#module-pyFTS.hyperparam.Evolutionary"><code class="xref">pyFTS.hyperparam.Evolutionary</code></a></td><td>
|
||||
<em></em></td></tr>
|
||||
<tr class="cg-1">
|
||||
<td></td>
|
||||
<td>   
|
||||
<a href="pyFTS.hyperparam.html#module-pyFTS.hyperparam.GridSearch"><code class="xref">pyFTS.hyperparam.GridSearch</code></a></td><td>
|
||||
<em></em></td></tr>
|
||||
<tr class="cg-1">
|
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<td></td>
|
||||
<td>   
|
||||
@ -366,76 +296,21 @@
|
||||
<td>   
|
||||
<a href="pyFTS.models.html#module-pyFTS.models"><code class="xref">pyFTS.models</code></a></td><td>
|
||||
<em></em></td></tr>
|
||||
<tr class="cg-1">
|
||||
<td></td>
|
||||
<td>   
|
||||
<a href="pyFTS.models.html#module-pyFTS.models.chen"><code class="xref">pyFTS.models.chen</code></a></td><td>
|
||||
<em></em></td></tr>
|
||||
<tr class="cg-1">
|
||||
<td></td>
|
||||
<td>   
|
||||
<a href="pyFTS.models.html#module-pyFTS.models.cheng"><code class="xref">pyFTS.models.cheng</code></a></td><td>
|
||||
<em></em></td></tr>
|
||||
<tr class="cg-1">
|
||||
<td></td>
|
||||
<td>   
|
||||
<a href="pyFTS.models.ensemble.html#module-pyFTS.models.ensemble"><code class="xref">pyFTS.models.ensemble</code></a></td><td>
|
||||
<em></em></td></tr>
|
||||
<tr class="cg-1">
|
||||
<td></td>
|
||||
<td>   
|
||||
<a href="pyFTS.models.ensemble.html#module-pyFTS.models.ensemble.ensemble"><code class="xref">pyFTS.models.ensemble.ensemble</code></a></td><td>
|
||||
<em></em></td></tr>
|
||||
<tr class="cg-1">
|
||||
<td></td>
|
||||
<td>   
|
||||
<a href="pyFTS.models.ensemble.html#module-pyFTS.models.ensemble.multiseasonal"><code class="xref">pyFTS.models.ensemble.multiseasonal</code></a></td><td>
|
||||
<em></em></td></tr>
|
||||
<tr class="cg-1">
|
||||
<td></td>
|
||||
<td>   
|
||||
<a href="pyFTS.models.html#module-pyFTS.models.hofts"><code class="xref">pyFTS.models.hofts</code></a></td><td>
|
||||
<em></em></td></tr>
|
||||
<tr class="cg-1">
|
||||
<td></td>
|
||||
<td>   
|
||||
<a href="pyFTS.models.html#module-pyFTS.models.hwang"><code class="xref">pyFTS.models.hwang</code></a></td><td>
|
||||
<em></em></td></tr>
|
||||
<tr class="cg-1">
|
||||
<td></td>
|
||||
<td>   
|
||||
<a href="pyFTS.models.html#module-pyFTS.models.ifts"><code class="xref">pyFTS.models.ifts</code></a></td><td>
|
||||
<em></em></td></tr>
|
||||
<tr class="cg-1">
|
||||
<td></td>
|
||||
<td>   
|
||||
<a href="pyFTS.models.incremental.html#module-pyFTS.models.incremental"><code class="xref">pyFTS.models.incremental</code></a></td><td>
|
||||
<em></em></td></tr>
|
||||
<tr class="cg-1">
|
||||
<td></td>
|
||||
<td>   
|
||||
<a href="pyFTS.models.incremental.html#module-pyFTS.models.incremental.IncrementalEnsemble"><code class="xref">pyFTS.models.incremental.IncrementalEnsemble</code></a></td><td>
|
||||
<em></em></td></tr>
|
||||
<tr class="cg-1">
|
||||
<td></td>
|
||||
<td>   
|
||||
<a href="pyFTS.models.incremental.html#module-pyFTS.models.incremental.TimeVariant"><code class="xref">pyFTS.models.incremental.TimeVariant</code></a></td><td>
|
||||
<em></em></td></tr>
|
||||
<tr class="cg-1">
|
||||
<td></td>
|
||||
<td>   
|
||||
<a href="pyFTS.models.html#module-pyFTS.models.ismailefendi"><code class="xref">pyFTS.models.ismailefendi</code></a></td><td>
|
||||
<em></em></td></tr>
|
||||
<tr class="cg-1">
|
||||
<td></td>
|
||||
<td>   
|
||||
<a href="pyFTS.models.multivariate.html#module-pyFTS.models.multivariate"><code class="xref">pyFTS.models.multivariate</code></a></td><td>
|
||||
<em></em></td></tr>
|
||||
<tr class="cg-1">
|
||||
<td></td>
|
||||
<td>   
|
||||
<a href="pyFTS.models.multivariate.html#module-pyFTS.models.multivariate.cmvfts"><code class="xref">pyFTS.models.multivariate.cmvfts</code></a></td><td>
|
||||
<em></em></td></tr>
|
||||
<tr class="cg-1">
|
||||
<td></td>
|
||||
<td>   
|
||||
@ -451,36 +326,16 @@
|
||||
<td>   
|
||||
<a href="pyFTS.models.multivariate.html#module-pyFTS.models.multivariate.flrg"><code class="xref">pyFTS.models.multivariate.flrg</code></a></td><td>
|
||||
<em></em></td></tr>
|
||||
<tr class="cg-1">
|
||||
<td></td>
|
||||
<td>   
|
||||
<a href="pyFTS.models.multivariate.html#module-pyFTS.models.multivariate.granular"><code class="xref">pyFTS.models.multivariate.granular</code></a></td><td>
|
||||
<em></em></td></tr>
|
||||
<tr class="cg-1">
|
||||
<td></td>
|
||||
<td>   
|
||||
<a href="pyFTS.models.multivariate.html#module-pyFTS.models.multivariate.grid"><code class="xref">pyFTS.models.multivariate.grid</code></a></td><td>
|
||||
<em></em></td></tr>
|
||||
<tr class="cg-1">
|
||||
<td></td>
|
||||
<td>   
|
||||
<a href="pyFTS.models.multivariate.html#module-pyFTS.models.multivariate.mvfts"><code class="xref">pyFTS.models.multivariate.mvfts</code></a></td><td>
|
||||
<em></em></td></tr>
|
||||
<tr class="cg-1">
|
||||
<td></td>
|
||||
<td>   
|
||||
<a href="pyFTS.models.multivariate.html#module-pyFTS.models.multivariate.partitioner"><code class="xref">pyFTS.models.multivariate.partitioner</code></a></td><td>
|
||||
<em></em></td></tr>
|
||||
<tr class="cg-1">
|
||||
<td></td>
|
||||
<td>   
|
||||
<a href="pyFTS.models.multivariate.html#module-pyFTS.models.multivariate.variable"><code class="xref">pyFTS.models.multivariate.variable</code></a></td><td>
|
||||
<em></em></td></tr>
|
||||
<tr class="cg-1">
|
||||
<td></td>
|
||||
<td>   
|
||||
<a href="pyFTS.models.multivariate.html#module-pyFTS.models.multivariate.wmvfts"><code class="xref">pyFTS.models.multivariate.wmvfts</code></a></td><td>
|
||||
<em></em></td></tr>
|
||||
<tr class="cg-1">
|
||||
<td></td>
|
||||
<td>   
|
||||
@ -491,26 +346,11 @@
|
||||
<td>   
|
||||
<a href="pyFTS.models.nonstationary.html#module-pyFTS.models.nonstationary.common"><code class="xref">pyFTS.models.nonstationary.common</code></a></td><td>
|
||||
<em></em></td></tr>
|
||||
<tr class="cg-1">
|
||||
<td></td>
|
||||
<td>   
|
||||
<a href="pyFTS.models.nonstationary.html#module-pyFTS.models.nonstationary.cvfts"><code class="xref">pyFTS.models.nonstationary.cvfts</code></a></td><td>
|
||||
<em></em></td></tr>
|
||||
<tr class="cg-1">
|
||||
<td></td>
|
||||
<td>   
|
||||
<a href="pyFTS.models.nonstationary.html#module-pyFTS.models.nonstationary.flrg"><code class="xref">pyFTS.models.nonstationary.flrg</code></a></td><td>
|
||||
<em></em></td></tr>
|
||||
<tr class="cg-1">
|
||||
<td></td>
|
||||
<td>   
|
||||
<a href="pyFTS.models.nonstationary.html#module-pyFTS.models.nonstationary.honsfts"><code class="xref">pyFTS.models.nonstationary.honsfts</code></a></td><td>
|
||||
<em></em></td></tr>
|
||||
<tr class="cg-1">
|
||||
<td></td>
|
||||
<td>   
|
||||
<a href="pyFTS.models.nonstationary.html#module-pyFTS.models.nonstationary.nsfts"><code class="xref">pyFTS.models.nonstationary.nsfts</code></a></td><td>
|
||||
<em></em></td></tr>
|
||||
<tr class="cg-1">
|
||||
<td></td>
|
||||
<td>   
|
||||
@ -521,41 +361,16 @@
|
||||
<td>   
|
||||
<a href="pyFTS.models.nonstationary.html#module-pyFTS.models.nonstationary.perturbation"><code class="xref">pyFTS.models.nonstationary.perturbation</code></a></td><td>
|
||||
<em></em></td></tr>
|
||||
<tr class="cg-1">
|
||||
<td></td>
|
||||
<td>   
|
||||
<a href="pyFTS.models.nonstationary.html#module-pyFTS.models.nonstationary.util"><code class="xref">pyFTS.models.nonstationary.util</code></a></td><td>
|
||||
<em></em></td></tr>
|
||||
<tr class="cg-1">
|
||||
<td></td>
|
||||
<td>   
|
||||
<a href="pyFTS.models.html#module-pyFTS.models.pwfts"><code class="xref">pyFTS.models.pwfts</code></a></td><td>
|
||||
<em></em></td></tr>
|
||||
<tr class="cg-1">
|
||||
<td></td>
|
||||
<td>   
|
||||
<a href="pyFTS.models.html#module-pyFTS.models.sadaei"><code class="xref">pyFTS.models.sadaei</code></a></td><td>
|
||||
<em></em></td></tr>
|
||||
<tr class="cg-1">
|
||||
<td></td>
|
||||
<td>   
|
||||
<a href="pyFTS.models.seasonal.html#module-pyFTS.models.seasonal"><code class="xref">pyFTS.models.seasonal</code></a></td><td>
|
||||
<em></em></td></tr>
|
||||
<tr class="cg-1">
|
||||
<td></td>
|
||||
<td>   
|
||||
<a href="pyFTS.models.seasonal.html#module-pyFTS.models.seasonal.cmsfts"><code class="xref">pyFTS.models.seasonal.cmsfts</code></a></td><td>
|
||||
<em></em></td></tr>
|
||||
<tr class="cg-1">
|
||||
<td></td>
|
||||
<td>   
|
||||
<a href="pyFTS.models.seasonal.html#module-pyFTS.models.seasonal.common"><code class="xref">pyFTS.models.seasonal.common</code></a></td><td>
|
||||
<em></em></td></tr>
|
||||
<tr class="cg-1">
|
||||
<td></td>
|
||||
<td>   
|
||||
<a href="pyFTS.models.seasonal.html#module-pyFTS.models.seasonal.msfts"><code class="xref">pyFTS.models.seasonal.msfts</code></a></td><td>
|
||||
<em></em></td></tr>
|
||||
<tr class="cg-1">
|
||||
<td></td>
|
||||
<td>   
|
||||
@ -566,26 +381,16 @@
|
||||
<td>   
|
||||
<a href="pyFTS.models.seasonal.html#module-pyFTS.models.seasonal.SeasonalIndexer"><code class="xref">pyFTS.models.seasonal.SeasonalIndexer</code></a></td><td>
|
||||
<em></em></td></tr>
|
||||
<tr class="cg-1">
|
||||
<td></td>
|
||||
<td>   
|
||||
<a href="pyFTS.models.seasonal.html#module-pyFTS.models.seasonal.sfts"><code class="xref">pyFTS.models.seasonal.sfts</code></a></td><td>
|
||||
<em></em></td></tr>
|
||||
<tr class="cg-1">
|
||||
<td></td>
|
||||
<td>   
|
||||
<a href="pyFTS.models.html#module-pyFTS.models.song"><code class="xref">pyFTS.models.song</code></a></td><td>
|
||||
<em></em></td></tr>
|
||||
<tr class="cg-1">
|
||||
<td></td>
|
||||
<td>   
|
||||
<a href="pyFTS.models.html#module-pyFTS.models.yu"><code class="xref">pyFTS.models.yu</code></a></td><td>
|
||||
<em></em></td></tr>
|
||||
<tr class="cg-1">
|
||||
<td></td>
|
||||
<td>   
|
||||
<a href="pyFTS.partitioners.html#module-pyFTS.partitioners"><code class="xref">pyFTS.partitioners</code></a></td><td>
|
||||
<em></em></td></tr>
|
||||
<tr class="cg-1">
|
||||
<td></td>
|
||||
<td>   
|
||||
<a href="pyFTS.partitioners.html#module-pyFTS.partitioners.ClassPartitioner"><code class="xref">pyFTS.partitioners.ClassPartitioner</code></a></td><td>
|
||||
<em></em></td></tr>
|
||||
<tr class="cg-1">
|
||||
<td></td>
|
||||
<td>   
|
||||
@ -606,16 +411,6 @@
|
||||
<td>   
|
||||
<a href="pyFTS.partitioners.html#module-pyFTS.partitioners.Grid"><code class="xref">pyFTS.partitioners.Grid</code></a></td><td>
|
||||
<em></em></td></tr>
|
||||
<tr class="cg-1">
|
||||
<td></td>
|
||||
<td>   
|
||||
<a href="pyFTS.partitioners.html#module-pyFTS.partitioners.Huarng"><code class="xref">pyFTS.partitioners.Huarng</code></a></td><td>
|
||||
<em></em></td></tr>
|
||||
<tr class="cg-1">
|
||||
<td></td>
|
||||
<td>   
|
||||
<a href="pyFTS.partitioners.html#module-pyFTS.partitioners.parallel_util"><code class="xref">pyFTS.partitioners.parallel_util</code></a></td><td>
|
||||
<em></em></td></tr>
|
||||
<tr class="cg-1">
|
||||
<td></td>
|
||||
<td>   
|
||||
@ -636,26 +431,11 @@
|
||||
<td>   
|
||||
<a href="pyFTS.partitioners.html#module-pyFTS.partitioners.SubClust"><code class="xref">pyFTS.partitioners.SubClust</code></a></td><td>
|
||||
<em></em></td></tr>
|
||||
<tr class="cg-1">
|
||||
<td></td>
|
||||
<td>   
|
||||
<a href="pyFTS.partitioners.html#module-pyFTS.partitioners.Util"><code class="xref">pyFTS.partitioners.Util</code></a></td><td>
|
||||
<em></em></td></tr>
|
||||
<tr class="cg-1">
|
||||
<td></td>
|
||||
<td>   
|
||||
<a href="pyFTS.probabilistic.html#module-pyFTS.probabilistic"><code class="xref">pyFTS.probabilistic</code></a></td><td>
|
||||
<em></em></td></tr>
|
||||
<tr class="cg-1">
|
||||
<td></td>
|
||||
<td>   
|
||||
<a href="pyFTS.probabilistic.html#module-pyFTS.probabilistic.kde"><code class="xref">pyFTS.probabilistic.kde</code></a></td><td>
|
||||
<em></em></td></tr>
|
||||
<tr class="cg-1">
|
||||
<td></td>
|
||||
<td>   
|
||||
<a href="pyFTS.probabilistic.html#module-pyFTS.probabilistic.ProbabilityDistribution"><code class="xref">pyFTS.probabilistic.ProbabilityDistribution</code></a></td><td>
|
||||
<em></em></td></tr>
|
||||
</table>
|
||||
|
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|
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@ -694,7 +474,7 @@
|
||||
</div>
|
||||
<div class="footer" role="contentinfo">
|
||||
© Copyright 2022, Machine Intelligence and Data Science Laboratory - UFMG - Brazil.
|
||||
Created using <a href="https://www.sphinx-doc.org/">Sphinx</a> 4.5.0.
|
||||
Created using <a href="https://www.sphinx-doc.org/">Sphinx</a> 4.3.2.
|
||||
</div>
|
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</body>
|
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</html>
|
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