1929 lines
124 KiB
HTML
1929 lines
124 KiB
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<h2 id="A">A</h2>
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<table style="width: 100%" class="indextable genindextable"><tr>
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<td style="width: 33%; vertical-align: top;"><ul>
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<li><a href="pyFTS.benchmarks.html#pyFTS.benchmarks.Measures.acf">acf() (in module pyFTS.benchmarks.Measures)</a>
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</li>
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<li><a href="pyFTS.common.html#pyFTS.common.Transformations.AdaptiveExpectation">AdaptiveExpectation (class in pyFTS.common.Transformations)</a>
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</li>
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<li><a href="pyFTS.models.html#pyFTS.models.pwfts.ProbabilisticWeightedFTS.add_new_PWFLGR">add_new_PWFLGR() (pyFTS.models.pwfts.ProbabilisticWeightedFTS method)</a>
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</li>
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<li><a href="pyFTS.common.html#pyFTS.common.Transformations.aggregate">aggregate() (in module pyFTS.common.Transformations)</a>
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</li>
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<li><a href="pyFTS.models.multivariate.html#pyFTS.models.multivariate.variable.Variable.alias">alias (pyFTS.models.multivariate.variable.Variable attribute)</a>
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</li>
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<li><a href="pyFTS.models.ensemble.html#pyFTS.models.ensemble.ensemble.AllMethodEnsembleFTS">AllMethodEnsembleFTS (class in pyFTS.models.ensemble.ensemble)</a>
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</li>
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<li><a href="pyFTS.common.html#pyFTS.common.FuzzySet.FuzzySet.alpha">alpha (pyFTS.common.FuzzySet.FuzzySet attribute)</a>
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</li>
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<li><a href="pyFTS.common.html#pyFTS.common.fts.FTS.alpha_cut">alpha_cut (pyFTS.common.fts.FTS attribute)</a>
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</li>
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<li><a href="pyFTS.benchmarks.html#pyFTS.benchmarks.Util.analytic_tabular_dataframe">analytic_tabular_dataframe() (in module pyFTS.benchmarks.Util)</a>
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</li>
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<li><a href="pyFTS.benchmarks.html#pyFTS.benchmarks.Util.analytical_data_columns">analytical_data_columns() (in module pyFTS.benchmarks.Util)</a>
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</li>
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<li><a href="pyFTS.common.html#pyFTS.common.Composite.FuzzySet.append">append() (pyFTS.common.Composite.FuzzySet method)</a>
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<ul>
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<li><a href="pyFTS.probabilistic.html#pyFTS.probabilistic.ProbabilityDistribution.ProbabilityDistribution.append">(pyFTS.probabilistic.ProbabilityDistribution.ProbabilityDistribution method)</a>
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</li>
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</ul></li>
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<li><a href="pyFTS.probabilistic.html#pyFTS.probabilistic.ProbabilityDistribution.ProbabilityDistribution.append_interval">append_interval() (pyFTS.probabilistic.ProbabilityDistribution.ProbabilityDistribution method)</a>
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</li>
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<li><a href="pyFTS.models.html#pyFTS.models.hofts.HighOrderFLRG.append_lhs">append_lhs() (pyFTS.models.hofts.HighOrderFLRG method)</a>
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<ul>
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<li><a href="pyFTS.models.nonstationary.html#pyFTS.models.nonstationary.cvfts.HighOrderNonstationaryFLRG.append_lhs">(pyFTS.models.nonstationary.cvfts.HighOrderNonstationaryFLRG method)</a>
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</li>
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<li><a href="pyFTS.models.nonstationary.html#pyFTS.models.nonstationary.honsfts.HighOrderNonStationaryFLRG.append_lhs">(pyFTS.models.nonstationary.honsfts.HighOrderNonStationaryFLRG method)</a>
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</li>
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</ul></li>
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<li><a href="pyFTS.models.ensemble.html#pyFTS.models.ensemble.ensemble.EnsembleFTS.append_model">append_model() (pyFTS.models.ensemble.ensemble.EnsembleFTS method)</a>
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</li>
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<li><a href="pyFTS.common.html#pyFTS.common.flrg.FLRG.append_rhs">append_rhs() (pyFTS.common.flrg.FLRG method)</a>
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<ul>
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<li><a href="pyFTS.models.html#pyFTS.models.chen.ConventionalFLRG.append_rhs">(pyFTS.models.chen.ConventionalFLRG method)</a>
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</li>
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<li><a href="pyFTS.models.html#pyFTS.models.hofts.HighOrderFLRG.append_rhs">(pyFTS.models.hofts.HighOrderFLRG method)</a>
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</li>
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<li><a href="pyFTS.models.html#pyFTS.models.ismailefendi.ImprovedWeightedFLRG.append_rhs">(pyFTS.models.ismailefendi.ImprovedWeightedFLRG method)</a>
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</li>
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<li><a href="pyFTS.models.multivariate.html#pyFTS.models.multivariate.flrg.FLRG.append_rhs">(pyFTS.models.multivariate.flrg.FLRG method)</a>
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</li>
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<li><a href="pyFTS.models.nonstationary.html#pyFTS.models.nonstationary.cvfts.HighOrderNonstationaryFLRG.append_rhs">(pyFTS.models.nonstationary.cvfts.HighOrderNonstationaryFLRG method)</a>
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</li>
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<li><a href="pyFTS.models.nonstationary.html#pyFTS.models.nonstationary.honsfts.HighOrderNonStationaryFLRG.append_rhs">(pyFTS.models.nonstationary.honsfts.HighOrderNonStationaryFLRG method)</a>
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</li>
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<li><a href="pyFTS.models.nonstationary.html#pyFTS.models.nonstationary.nsfts.ConventionalNonStationaryFLRG.append_rhs">(pyFTS.models.nonstationary.nsfts.ConventionalNonStationaryFLRG method)</a>
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</li>
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<li><a href="pyFTS.models.html#pyFTS.models.pwfts.ProbabilisticWeightedFLRG.append_rhs">(pyFTS.models.pwfts.ProbabilisticWeightedFLRG method)</a>
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</li>
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<li><a href="pyFTS.models.html#pyFTS.models.sadaei.ExponentialyWeightedFLRG.append_rhs">(pyFTS.models.sadaei.ExponentialyWeightedFLRG method)</a>
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</li>
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<li><a href="pyFTS.models.seasonal.html#pyFTS.models.seasonal.cmsfts.ContextualSeasonalFLRG.append_rhs">(pyFTS.models.seasonal.cmsfts.ContextualSeasonalFLRG method)</a>
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</li>
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<li><a href="pyFTS.models.seasonal.html#pyFTS.models.seasonal.sfts.SeasonalFLRG.append_rhs">(pyFTS.models.seasonal.sfts.SeasonalFLRG method)</a>
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</li>
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<li><a href="pyFTS.models.html#pyFTS.models.yu.WeightedFLRG.append_rhs">(pyFTS.models.yu.WeightedFLRG method)</a>
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</li>
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</ul></li>
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</ul></td>
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<td style="width: 33%; vertical-align: top;"><ul>
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<li><a href="pyFTS.common.html#pyFTS.common.Composite.FuzzySet.append_set">append_set() (pyFTS.common.Composite.FuzzySet method)</a>
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</li>
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<li><a href="pyFTS.common.html#pyFTS.common.fts.FTS.append_transformation">append_transformation() (pyFTS.common.fts.FTS method)</a>
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</li>
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<li><a href="pyFTS.models.multivariate.html#pyFTS.models.multivariate.mvfts.MVFTS.append_variable">append_variable() (pyFTS.models.multivariate.mvfts.MVFTS method)</a>
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</li>
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<li><a href="pyFTS.common.html#pyFTS.common.tree.FLRGTreeNode.appendChild">appendChild() (pyFTS.common.tree.FLRGTreeNode method)</a>
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</li>
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<li><a href="pyFTS.common.html#pyFTS.common.Transformations.AdaptiveExpectation.apply">apply() (pyFTS.common.Transformations.AdaptiveExpectation method)</a>
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<ul>
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<li><a href="pyFTS.common.html#pyFTS.common.Transformations.BoxCox.apply">(pyFTS.common.Transformations.BoxCox method)</a>
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</li>
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<li><a href="pyFTS.common.html#pyFTS.common.Transformations.Differential.apply">(pyFTS.common.Transformations.Differential method)</a>
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</li>
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<li><a href="pyFTS.common.html#pyFTS.common.Transformations.Scale.apply">(pyFTS.common.Transformations.Scale method)</a>
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</li>
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<li><a href="pyFTS.common.html#pyFTS.common.Transformations.Transformation.apply">(pyFTS.common.Transformations.Transformation method)</a>
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</li>
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</ul></li>
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<li><a href="pyFTS.common.html#pyFTS.common.fts.FTS.apply_inverse_transformations">apply_inverse_transformations() (pyFTS.common.fts.FTS method)</a>
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<ul>
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<li><a href="pyFTS.models.multivariate.html#pyFTS.models.multivariate.variable.Variable.apply_inverse_transformations">(pyFTS.models.multivariate.variable.Variable method)</a>
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</li>
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</ul></li>
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<li><a href="pyFTS.common.html#pyFTS.common.fts.FTS.apply_transformations">apply_transformations() (pyFTS.common.fts.FTS method)</a>
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<ul>
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<li><a href="pyFTS.models.multivariate.html#pyFTS.models.multivariate.mvfts.MVFTS.apply_transformations">(pyFTS.models.multivariate.mvfts.MVFTS method)</a>
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</li>
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<li><a href="pyFTS.models.multivariate.html#pyFTS.models.multivariate.variable.Variable.apply_transformations">(pyFTS.models.multivariate.variable.Variable method)</a>
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</li>
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</ul></li>
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<li><a href="pyFTS.benchmarks.html#pyFTS.benchmarks.arima.ARIMA.ar">ar() (pyFTS.benchmarks.arima.ARIMA method)</a>
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</li>
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<li><a href="pyFTS.benchmarks.html#pyFTS.benchmarks.arima.ARIMA">ARIMA (class in pyFTS.benchmarks.arima)</a>
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</li>
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<li><a href="pyFTS.common.html#pyFTS.common.SortedCollection.SortedCollection.around">around() (pyFTS.common.SortedCollection.SortedCollection method)</a>
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</li>
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<li><a href="pyFTS.common.html#pyFTS.common.fts.FTS.auto_update">auto_update (pyFTS.common.fts.FTS attribute)</a>
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</li>
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<li><a href="pyFTS.probabilistic.html#pyFTS.probabilistic.ProbabilityDistribution.ProbabilityDistribution.averageloglikelihood">averageloglikelihood() (pyFTS.probabilistic.ProbabilityDistribution.ProbabilityDistribution method)</a>
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</li>
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</ul></td>
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</tr></table>
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<h2 id="B">B</h2>
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<table style="width: 100%" class="indextable genindextable"><tr>
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<td style="width: 33%; vertical-align: top;"><ul>
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<li><a href="pyFTS.benchmarks.html#pyFTS.benchmarks.Util.base_dataframe_columns">base_dataframe_columns() (in module pyFTS.benchmarks.Util)</a>
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</li>
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<li><a href="pyFTS.common.html#pyFTS.common.Membership.bellmf">bellmf() (in module pyFTS.common.Membership)</a>
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</li>
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<li><a href="pyFTS.common.html#pyFTS.common.fts.FTS.benchmark_only">benchmark_only (pyFTS.common.fts.FTS attribute)</a>
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</li>
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<li><a href="pyFTS.partitioners.html#pyFTS.partitioners.Entropy.bestSplit">bestSplit() (in module pyFTS.partitioners.Entropy)</a>
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</li>
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<li><a href="pyFTS.common.html#pyFTS.common.SortedCollection.SortedCollection.between">between() (pyFTS.common.SortedCollection.SortedCollection method)</a>
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</li>
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<li><a href="pyFTS.probabilistic.html#pyFTS.probabilistic.ProbabilityDistribution.ProbabilityDistribution.bins">bins (pyFTS.probabilistic.ProbabilityDistribution.ProbabilityDistribution attribute)</a>
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</li>
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<li><a href="pyFTS.common.html#pyFTS.common.Transformations.BoxCox">BoxCox (class in pyFTS.common.Transformations)</a>
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</li>
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<li><a href="pyFTS.benchmarks.html#pyFTS.benchmarks.Measures.BoxLjungStatistic">BoxLjungStatistic() (in module pyFTS.benchmarks.Measures)</a>
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</li>
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<li><a href="pyFTS.benchmarks.html#pyFTS.benchmarks.Measures.BoxPierceStatistic">BoxPierceStatistic() (in module pyFTS.benchmarks.Measures)</a>
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</li>
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<li><a href="pyFTS.benchmarks.html#pyFTS.benchmarks.Measures.brier_score">brier_score() (in module pyFTS.benchmarks.Measures)</a>
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</li>
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<li><a href="pyFTS.models.multivariate.html#pyFTS.models.multivariate.variable.Variable.build">build() (pyFTS.models.multivariate.variable.Variable method)</a>
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<ul>
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<li><a href="pyFTS.models.nonstationary.html#pyFTS.models.nonstationary.partitioners.PolynomialNonStationaryPartitioner.build">(pyFTS.models.nonstationary.partitioners.PolynomialNonStationaryPartitioner method)</a>
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</li>
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<li><a href="pyFTS.models.nonstationary.html#pyFTS.models.nonstationary.partitioners.SimpleNonStationaryPartitioner.build">(pyFTS.models.nonstationary.partitioners.SimpleNonStationaryPartitioner method)</a>
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</li>
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<li><a href="pyFTS.models.seasonal.html#pyFTS.models.seasonal.partitioner.TimeGridPartitioner.build">(pyFTS.models.seasonal.partitioner.TimeGridPartitioner method)</a>
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</li>
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<li><a href="pyFTS.partitioners.html#pyFTS.partitioners.CMeans.CMeansPartitioner.build">(pyFTS.partitioners.CMeans.CMeansPartitioner method)</a>
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</li>
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<li><a href="pyFTS.partitioners.html#pyFTS.partitioners.Entropy.EntropyPartitioner.build">(pyFTS.partitioners.Entropy.EntropyPartitioner method)</a>
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</li>
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<li><a href="pyFTS.partitioners.html#pyFTS.partitioners.FCM.FCMPartitioner.build">(pyFTS.partitioners.FCM.FCMPartitioner method)</a>
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</li>
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<li><a href="pyFTS.partitioners.html#pyFTS.partitioners.Grid.GridPartitioner.build">(pyFTS.partitioners.Grid.GridPartitioner method)</a>
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</li>
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<li><a href="pyFTS.partitioners.html#pyFTS.partitioners.Huarng.HuarngPartitioner.build">(pyFTS.partitioners.Huarng.HuarngPartitioner method)</a>
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</li>
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<li><a href="pyFTS.partitioners.html#pyFTS.partitioners.partitioner.Partitioner.build">(pyFTS.partitioners.partitioner.Partitioner method)</a>
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</li>
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</ul></li>
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</ul></td>
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<td style="width: 33%; vertical-align: top;"><ul>
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<li><a href="pyFTS.probabilistic.html#pyFTS.probabilistic.ProbabilityDistribution.ProbabilityDistribution.build_cdf_qtl">build_cdf_qtl() (pyFTS.probabilistic.ProbabilityDistribution.ProbabilityDistribution method)</a>
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</li>
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<li><a href="pyFTS.common.html#pyFTS.common.tree.build_tree_without_order">build_tree_without_order() (in module pyFTS.common.tree)</a>
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</li>
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</ul></td>
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</tr></table>
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<h2 id="C">C</h2>
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<table style="width: 100%" class="indextable genindextable"><tr>
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<td style="width: 33%; vertical-align: top;"><ul>
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<li><a href="pyFTS.partitioners.html#pyFTS.partitioners.CMeans.c_means">c_means() (in module pyFTS.partitioners.CMeans)</a>
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</li>
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<li><a href="pyFTS.benchmarks.html#pyFTS.benchmarks.Util.cast_dataframe_to_synthetic">cast_dataframe_to_synthetic() (in module pyFTS.benchmarks.Util)</a>
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</li>
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<li><a href="pyFTS.benchmarks.html#pyFTS.benchmarks.Util.cast_dataframe_to_synthetic_interval">cast_dataframe_to_synthetic_interval() (in module pyFTS.benchmarks.Util)</a>
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</li>
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<li><a href="pyFTS.benchmarks.html#pyFTS.benchmarks.Util.cast_dataframe_to_synthetic_point">cast_dataframe_to_synthetic_point() (in module pyFTS.benchmarks.Util)</a>
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</li>
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<li><a href="pyFTS.benchmarks.html#pyFTS.benchmarks.Util.cast_dataframe_to_synthetic_probabilistic">cast_dataframe_to_synthetic_probabilistic() (in module pyFTS.benchmarks.Util)</a>
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</li>
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<li><a href="pyFTS.common.html#pyFTS.common.FuzzySet.FuzzySet.centroid">centroid (pyFTS.common.FuzzySet.FuzzySet attribute)</a>
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</li>
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<li><a href="pyFTS.common.html#pyFTS.common.FuzzySet.check_bounds">check_bounds() (in module pyFTS.common.FuzzySet)</a>
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<ul>
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<li><a href="pyFTS.models.nonstationary.html#pyFTS.models.nonstationary.common.check_bounds">(in module pyFTS.models.nonstationary.common)</a>
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</li>
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</ul></li>
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<li><a href="pyFTS.common.html#pyFTS.common.FuzzySet.check_bounds_index">check_bounds_index() (in module pyFTS.common.FuzzySet)</a>
|
|
|
|
<ul>
|
|
<li><a href="pyFTS.models.nonstationary.html#pyFTS.models.nonstationary.common.check_bounds_index">(in module pyFTS.models.nonstationary.common)</a>
|
|
</li>
|
|
</ul></li>
|
|
<li><a href="pyFTS.benchmarks.html#pyFTS.benchmarks.Util.check_ignore_list">check_ignore_list() (in module pyFTS.benchmarks.Util)</a>
|
|
</li>
|
|
<li><a href="pyFTS.benchmarks.html#pyFTS.benchmarks.Util.check_replace_list">check_replace_list() (in module pyFTS.benchmarks.Util)</a>
|
|
</li>
|
|
<li><a href="pyFTS.benchmarks.html#pyFTS.benchmarks.ResidualAnalysis.chi_squared">chi_squared() (in module pyFTS.benchmarks.ResidualAnalysis)</a>
|
|
</li>
|
|
<li><a href="pyFTS.common.html#pyFTS.common.SortedCollection.SortedCollection.clear">clear() (pyFTS.common.SortedCollection.SortedCollection method)</a>
|
|
</li>
|
|
<li><a href="pyFTS.common.html#pyFTS.common.fts.FTS.clone_parameters">clone_parameters() (pyFTS.common.fts.FTS method)</a>
|
|
|
|
<ul>
|
|
<li><a href="pyFTS.models.multivariate.html#pyFTS.models.multivariate.mvfts.MVFTS.clone_parameters">(pyFTS.models.multivariate.mvfts.MVFTS method)</a>
|
|
</li>
|
|
</ul></li>
|
|
<li><a href="pyFTS.partitioners.html#pyFTS.partitioners.CMeans.CMeansPartitioner">CMeansPartitioner (class in pyFTS.partitioners.CMeans)</a>
|
|
</li>
|
|
<li><a href="pyFTS.benchmarks.html#pyFTS.benchmarks.ResidualAnalysis.compare_residuals">compare_residuals() (in module pyFTS.benchmarks.ResidualAnalysis)</a>
|
|
</li>
|
|
<li><a href="pyFTS.benchmarks.html#pyFTS.benchmarks.benchmarks.compareModelsPlot">compareModelsPlot() (in module pyFTS.benchmarks.benchmarks)</a>
|
|
</li>
|
|
</ul></td>
|
|
<td style="width: 33%; vertical-align: top;"><ul>
|
|
<li><a href="pyFTS.benchmarks.html#pyFTS.benchmarks.benchmarks.compareModelsTable">compareModelsTable() (in module pyFTS.benchmarks.benchmarks)</a>
|
|
</li>
|
|
<li><a href="pyFTS.models.nonstationary.html#pyFTS.models.nonstationary.nsfts.NonStationaryFTS.conditional_perturbation_factors">conditional_perturbation_factors() (pyFTS.models.nonstationary.nsfts.NonStationaryFTS method)</a>
|
|
</li>
|
|
<li><a href="pyFTS.models.nonstationary.html#pyFTS.models.nonstationary.cvfts.ConditionalVarianceFTS">ConditionalVarianceFTS (class in pyFTS.models.nonstationary.cvfts)</a>
|
|
</li>
|
|
<li><a href="pyFTS.models.html#pyFTS.models.hofts.HighOrderFTS.configure_lags">configure_lags() (pyFTS.models.hofts.HighOrderFTS method)</a>
|
|
|
|
<ul>
|
|
<li><a href="pyFTS.models.html#pyFTS.models.hwang.HighOrderFTS.configure_lags">(pyFTS.models.hwang.HighOrderFTS method)</a>
|
|
</li>
|
|
</ul></li>
|
|
<li><a href="pyFTS.models.seasonal.html#pyFTS.models.seasonal.cmsfts.ContextualMultiSeasonalFTS">ContextualMultiSeasonalFTS (class in pyFTS.models.seasonal.cmsfts)</a>
|
|
</li>
|
|
<li><a href="pyFTS.models.seasonal.html#pyFTS.models.seasonal.cmsfts.ContextualSeasonalFLRG">ContextualSeasonalFLRG (class in pyFTS.models.seasonal.cmsfts)</a>
|
|
</li>
|
|
<li><a href="pyFTS.models.html#pyFTS.models.chen.ConventionalFLRG">ConventionalFLRG (class in pyFTS.models.chen)</a>
|
|
</li>
|
|
<li><a href="pyFTS.models.html#pyFTS.models.chen.ConventionalFTS">ConventionalFTS (class in pyFTS.models.chen)</a>
|
|
|
|
<ul>
|
|
<li><a href="pyFTS.models.html#pyFTS.models.song.ConventionalFTS">(class in pyFTS.models.song)</a>
|
|
</li>
|
|
</ul></li>
|
|
<li><a href="pyFTS.models.nonstationary.html#pyFTS.models.nonstationary.nsfts.ConventionalNonStationaryFLRG">ConventionalNonStationaryFLRG (class in pyFTS.models.nonstationary.nsfts)</a>
|
|
</li>
|
|
<li><a href="pyFTS.common.html#pyFTS.common.SortedCollection.SortedCollection.copy">copy() (pyFTS.common.SortedCollection.SortedCollection method)</a>
|
|
</li>
|
|
<li><a href="pyFTS.common.html#pyFTS.common.SortedCollection.SortedCollection.count">count() (pyFTS.common.SortedCollection.SortedCollection method)</a>
|
|
</li>
|
|
<li><a href="pyFTS.benchmarks.html#pyFTS.benchmarks.Measures.coverage">coverage() (in module pyFTS.benchmarks.Measures)</a>
|
|
</li>
|
|
<li><a href="pyFTS.benchmarks.html#pyFTS.benchmarks.Util.create_benchmark_tables">create_benchmark_tables() (in module pyFTS.benchmarks.Util)</a>
|
|
</li>
|
|
<li><a href="pyFTS.probabilistic.html#pyFTS.probabilistic.ProbabilityDistribution.ProbabilityDistribution.crossentropy">crossentropy() (pyFTS.probabilistic.ProbabilityDistribution.ProbabilityDistribution method)</a>
|
|
</li>
|
|
<li><a href="pyFTS.benchmarks.html#pyFTS.benchmarks.Measures.crps">crps() (in module pyFTS.benchmarks.Measures)</a>
|
|
</li>
|
|
<li><a href="pyFTS.probabilistic.html#pyFTS.probabilistic.ProbabilityDistribution.ProbabilityDistribution.cummulative">cummulative() (pyFTS.probabilistic.ProbabilityDistribution.ProbabilityDistribution method)</a>
|
|
</li>
|
|
<li><a href="pyFTS.common.html#pyFTS.common.Util.current_milli_time">current_milli_time() (in module pyFTS.common.Util)</a>
|
|
</li>
|
|
</ul></td>
|
|
</tr></table>
|
|
|
|
<h2 id="D">D</h2>
|
|
<table style="width: 100%" class="indextable genindextable"><tr>
|
|
<td style="width: 33%; vertical-align: top;"><ul>
|
|
<li><a href="pyFTS.models.multivariate.html#pyFTS.models.multivariate.variable.Variable.data_label">data_label (pyFTS.models.multivariate.variable.Variable attribute)</a>
|
|
</li>
|
|
<li><a href="pyFTS.models.seasonal.html#pyFTS.models.seasonal.SeasonalIndexer.DataFrameSeasonalIndexer">DataFrameSeasonalIndexer (class in pyFTS.models.seasonal.SeasonalIndexer)</a>
|
|
</li>
|
|
<li><a href="pyFTS.models.seasonal.html#pyFTS.models.seasonal.common.DateTime">DateTime (class in pyFTS.models.seasonal.common)</a>
|
|
</li>
|
|
<li><a href="pyFTS.models.seasonal.html#pyFTS.models.seasonal.SeasonalIndexer.DateTimeSeasonalIndexer">DateTimeSeasonalIndexer (class in pyFTS.models.seasonal.SeasonalIndexer)</a>
|
|
</li>
|
|
<li><a href="pyFTS.models.seasonal.html#pyFTS.models.seasonal.common.DateTime.day_of_month">day_of_month (pyFTS.models.seasonal.common.DateTime attribute)</a>
|
|
</li>
|
|
<li><a href="pyFTS.models.seasonal.html#pyFTS.models.seasonal.common.DateTime.day_of_week">day_of_week (pyFTS.models.seasonal.common.DateTime attribute)</a>
|
|
</li>
|
|
<li><a href="pyFTS.models.seasonal.html#pyFTS.models.seasonal.common.DateTime.day_of_year">day_of_year (pyFTS.models.seasonal.common.DateTime attribute)</a>
|
|
</li>
|
|
</ul></td>
|
|
<td style="width: 33%; vertical-align: top;"><ul>
|
|
<li><a href="pyFTS.probabilistic.html#pyFTS.probabilistic.ProbabilityDistribution.ProbabilityDistribution.density">density() (pyFTS.probabilistic.ProbabilityDistribution.ProbabilityDistribution method)</a>
|
|
</li>
|
|
<li><a href="pyFTS.common.html#pyFTS.common.fts.FTS.detail">detail (pyFTS.common.fts.FTS attribute)</a>
|
|
</li>
|
|
<li><a href="pyFTS.common.html#pyFTS.common.Transformations.Differential">Differential (class in pyFTS.common.Transformations)</a>
|
|
</li>
|
|
<li><a href="pyFTS.probabilistic.html#pyFTS.probabilistic.ProbabilityDistribution.ProbabilityDistribution.differential_offset">differential_offset() (pyFTS.probabilistic.ProbabilityDistribution.ProbabilityDistribution method)</a>
|
|
</li>
|
|
<li><a href="pyFTS.partitioners.html#pyFTS.partitioners.CMeans.distance">distance() (in module pyFTS.partitioners.CMeans)</a>
|
|
</li>
|
|
<li><a href="pyFTS.common.html#pyFTS.common.Util.distributed_predict">distributed_predict() (in module pyFTS.common.Util)</a>
|
|
</li>
|
|
<li><a href="pyFTS.common.html#pyFTS.common.Util.distributed_train">distributed_train() (in module pyFTS.common.Util)</a>
|
|
</li>
|
|
<li><a href="pyFTS.common.html#pyFTS.common.Util.draw_sets_on_axis">draw_sets_on_axis() (in module pyFTS.common.Util)</a>
|
|
</li>
|
|
</ul></td>
|
|
</tr></table>
|
|
|
|
<h2 id="E">E</h2>
|
|
<table style="width: 100%" class="indextable genindextable"><tr>
|
|
<td style="width: 33%; vertical-align: top;"><ul>
|
|
<li><a href="pyFTS.probabilistic.html#pyFTS.probabilistic.ProbabilityDistribution.ProbabilityDistribution.empiricalloglikelihood">empiricalloglikelihood() (pyFTS.probabilistic.ProbabilityDistribution.ProbabilityDistribution method)</a>
|
|
</li>
|
|
<li><a href="pyFTS.models.ensemble.html#pyFTS.models.ensemble.ensemble.EnsembleFTS">EnsembleFTS (class in pyFTS.models.ensemble.ensemble)</a>
|
|
</li>
|
|
<li><a href="pyFTS.partitioners.html#pyFTS.partitioners.Entropy.entropy">entropy() (in module pyFTS.partitioners.Entropy)</a>
|
|
|
|
<ul>
|
|
<li><a href="pyFTS.probabilistic.html#pyFTS.probabilistic.ProbabilityDistribution.ProbabilityDistribution.entropy">(pyFTS.probabilistic.ProbabilityDistribution.ProbabilityDistribution method)</a>
|
|
</li>
|
|
</ul></li>
|
|
<li><a href="pyFTS.partitioners.html#pyFTS.partitioners.Entropy.EntropyPartitioner">EntropyPartitioner (class in pyFTS.partitioners.Entropy)</a>
|
|
</li>
|
|
<li><a href="pyFTS.common.html#pyFTS.common.Util.enumerate2">enumerate2() (in module pyFTS.common.Util)</a>
|
|
</li>
|
|
</ul></td>
|
|
<td style="width: 33%; vertical-align: top;"><ul>
|
|
<li><a href="pyFTS.probabilistic.html#pyFTS.probabilistic.ProbabilityDistribution.ProbabilityDistribution.expected_value">expected_value() (pyFTS.probabilistic.ProbabilityDistribution.ProbabilityDistribution method)</a>
|
|
</li>
|
|
<li><a href="pyFTS.partitioners.html#pyFTS.partitioners.parallel_util.explore_partitioners">explore_partitioners() (in module pyFTS.partitioners.parallel_util)</a>
|
|
|
|
<ul>
|
|
<li><a href="pyFTS.partitioners.html#pyFTS.partitioners.Util.explore_partitioners">(in module pyFTS.partitioners.Util)</a>
|
|
</li>
|
|
</ul></li>
|
|
<li><a href="pyFTS.models.nonstationary.html#pyFTS.models.nonstationary.perturbation.exponential">exponential() (in module pyFTS.models.nonstationary.perturbation)</a>
|
|
</li>
|
|
<li><a href="pyFTS.models.html#pyFTS.models.sadaei.ExponentialyWeightedFLRG">ExponentialyWeightedFLRG (class in pyFTS.models.sadaei)</a>
|
|
</li>
|
|
<li><a href="pyFTS.models.html#pyFTS.models.sadaei.ExponentialyWeightedFTS">ExponentialyWeightedFTS (class in pyFTS.models.sadaei)</a>
|
|
</li>
|
|
<li><a href="pyFTS.benchmarks.html#pyFTS.benchmarks.Util.extract_measure">extract_measure() (in module pyFTS.benchmarks.Util)</a>
|
|
</li>
|
|
</ul></td>
|
|
</tr></table>
|
|
|
|
<h2 id="F">F</h2>
|
|
<table style="width: 100%" class="indextable genindextable"><tr>
|
|
<td style="width: 33%; vertical-align: top;"><ul>
|
|
<li><a href="pyFTS.partitioners.html#pyFTS.partitioners.FCM.FCMPartitioner">FCMPartitioner (class in pyFTS.partitioners.FCM)</a>
|
|
</li>
|
|
<li><a href="pyFTS.common.html#pyFTS.common.SortedCollection.SortedCollection.find">find() (pyFTS.common.SortedCollection.SortedCollection method)</a>
|
|
</li>
|
|
<li><a href="pyFTS.benchmarks.html#pyFTS.benchmarks.Util.find_best">find_best() (in module pyFTS.benchmarks.Util)</a>
|
|
</li>
|
|
<li><a href="pyFTS.common.html#pyFTS.common.SortedCollection.SortedCollection.find_ge">find_ge() (pyFTS.common.SortedCollection.SortedCollection method)</a>
|
|
</li>
|
|
<li><a href="pyFTS.common.html#pyFTS.common.SortedCollection.SortedCollection.find_gt">find_gt() (pyFTS.common.SortedCollection.SortedCollection method)</a>
|
|
</li>
|
|
<li><a href="pyFTS.common.html#pyFTS.common.SortedCollection.SortedCollection.find_le">find_le() (pyFTS.common.SortedCollection.SortedCollection method)</a>
|
|
</li>
|
|
<li><a href="pyFTS.common.html#pyFTS.common.SortedCollection.SortedCollection.find_lt">find_lt() (pyFTS.common.SortedCollection.SortedCollection method)</a>
|
|
</li>
|
|
<li><a href="pyFTS.common.html#pyFTS.common.fts.FTS.fit">fit() (pyFTS.common.fts.FTS method)</a>
|
|
</li>
|
|
<li><a href="pyFTS.common.html#pyFTS.common.tree.flat">flat() (in module pyFTS.common.tree)</a>
|
|
</li>
|
|
<li><a href="pyFTS.common.html#pyFTS.common.FLR.FLR">FLR (class in pyFTS.common.FLR)</a>
|
|
|
|
<ul>
|
|
<li><a href="pyFTS.models.multivariate.html#pyFTS.models.multivariate.FLR.FLR">(class in pyFTS.models.multivariate.FLR)</a>
|
|
</li>
|
|
</ul></li>
|
|
<li><a href="pyFTS.models.html#pyFTS.models.song.ConventionalFTS.flr_membership_matrix">flr_membership_matrix() (pyFTS.models.song.ConventionalFTS method)</a>
|
|
</li>
|
|
<li><a href="pyFTS.common.html#pyFTS.common.flrg.FLRG">FLRG (class in pyFTS.common.flrg)</a>
|
|
|
|
<ul>
|
|
<li><a href="pyFTS.models.multivariate.html#pyFTS.models.multivariate.flrg.FLRG">(class in pyFTS.models.multivariate.flrg)</a>
|
|
</li>
|
|
</ul></li>
|
|
<li><a href="pyFTS.models.html#pyFTS.models.pwfts.ProbabilisticWeightedFTS.flrg_lhs_conditional_probability">flrg_lhs_conditional_probability() (pyFTS.models.pwfts.ProbabilisticWeightedFTS method)</a>
|
|
</li>
|
|
<li><a href="pyFTS.models.html#pyFTS.models.pwfts.ProbabilisticWeightedFTS.flrg_lhs_unconditional_probability">flrg_lhs_unconditional_probability() (pyFTS.models.pwfts.ProbabilisticWeightedFTS method)</a>
|
|
</li>
|
|
<li><a href="pyFTS.models.html#pyFTS.models.pwfts.ProbabilisticWeightedFTS.flrg_rhs_conditional_probability">flrg_rhs_conditional_probability() (pyFTS.models.pwfts.ProbabilisticWeightedFTS method)</a>
|
|
</li>
|
|
<li><a href="pyFTS.common.html#pyFTS.common.fts.FTS.flrgs">flrgs (pyFTS.common.fts.FTS attribute)</a>
|
|
</li>
|
|
<li><a href="pyFTS.common.html#pyFTS.common.tree.FLRGTree">FLRGTree (class in pyFTS.common.tree)</a>
|
|
</li>
|
|
<li><a href="pyFTS.common.html#pyFTS.common.tree.FLRGTreeNode">FLRGTreeNode (class in pyFTS.common.tree)</a>
|
|
</li>
|
|
<li><a href="pyFTS.benchmarks.html#pyFTS.benchmarks.arima.ARIMA.forecast">forecast() (pyFTS.benchmarks.arima.ARIMA method)</a>
|
|
|
|
<ul>
|
|
<li><a href="pyFTS.benchmarks.html#pyFTS.benchmarks.naive.Naive.forecast">(pyFTS.benchmarks.naive.Naive method)</a>
|
|
</li>
|
|
<li><a href="pyFTS.benchmarks.html#pyFTS.benchmarks.quantreg.QuantileRegression.forecast">(pyFTS.benchmarks.quantreg.QuantileRegression method)</a>
|
|
</li>
|
|
<li><a href="pyFTS.common.html#pyFTS.common.fts.FTS.forecast">(pyFTS.common.fts.FTS method)</a>
|
|
</li>
|
|
<li><a href="pyFTS.models.html#pyFTS.models.chen.ConventionalFTS.forecast">(pyFTS.models.chen.ConventionalFTS method)</a>
|
|
</li>
|
|
<li><a href="pyFTS.models.ensemble.html#pyFTS.models.ensemble.ensemble.EnsembleFTS.forecast">(pyFTS.models.ensemble.ensemble.EnsembleFTS method)</a>
|
|
</li>
|
|
<li><a href="pyFTS.models.html#pyFTS.models.hofts.HighOrderFTS.forecast">(pyFTS.models.hofts.HighOrderFTS method)</a>
|
|
</li>
|
|
<li><a href="pyFTS.models.html#pyFTS.models.hwang.HighOrderFTS.forecast">(pyFTS.models.hwang.HighOrderFTS method)</a>
|
|
</li>
|
|
<li><a href="pyFTS.models.html#pyFTS.models.ismailefendi.ImprovedWeightedFTS.forecast">(pyFTS.models.ismailefendi.ImprovedWeightedFTS method)</a>
|
|
</li>
|
|
<li><a href="pyFTS.models.multivariate.html#pyFTS.models.multivariate.mvfts.MVFTS.forecast">(pyFTS.models.multivariate.mvfts.MVFTS method)</a>
|
|
</li>
|
|
<li><a href="pyFTS.models.nonstationary.html#pyFTS.models.nonstationary.cvfts.ConditionalVarianceFTS.forecast">(pyFTS.models.nonstationary.cvfts.ConditionalVarianceFTS method)</a>
|
|
</li>
|
|
<li><a href="pyFTS.models.nonstationary.html#pyFTS.models.nonstationary.honsfts.HighOrderNonStationaryFTS.forecast">(pyFTS.models.nonstationary.honsfts.HighOrderNonStationaryFTS method)</a>
|
|
</li>
|
|
<li><a href="pyFTS.models.nonstationary.html#pyFTS.models.nonstationary.nsfts.NonStationaryFTS.forecast">(pyFTS.models.nonstationary.nsfts.NonStationaryFTS method)</a>
|
|
</li>
|
|
<li><a href="pyFTS.models.html#pyFTS.models.pwfts.ProbabilisticWeightedFTS.forecast">(pyFTS.models.pwfts.ProbabilisticWeightedFTS method)</a>
|
|
</li>
|
|
<li><a href="pyFTS.models.html#pyFTS.models.sadaei.ExponentialyWeightedFTS.forecast">(pyFTS.models.sadaei.ExponentialyWeightedFTS method)</a>
|
|
</li>
|
|
<li><a href="pyFTS.models.seasonal.html#pyFTS.models.seasonal.cmsfts.ContextualMultiSeasonalFTS.forecast">(pyFTS.models.seasonal.cmsfts.ContextualMultiSeasonalFTS method)</a>
|
|
</li>
|
|
<li><a href="pyFTS.models.seasonal.html#pyFTS.models.seasonal.msfts.MultiSeasonalFTS.forecast">(pyFTS.models.seasonal.msfts.MultiSeasonalFTS method)</a>
|
|
</li>
|
|
<li><a href="pyFTS.models.seasonal.html#pyFTS.models.seasonal.sfts.SeasonalFTS.forecast">(pyFTS.models.seasonal.sfts.SeasonalFTS method)</a>
|
|
</li>
|
|
<li><a href="pyFTS.models.html#pyFTS.models.song.ConventionalFTS.forecast">(pyFTS.models.song.ConventionalFTS method)</a>
|
|
</li>
|
|
<li><a href="pyFTS.models.html#pyFTS.models.yu.WeightedFTS.forecast">(pyFTS.models.yu.WeightedFTS method)</a>
|
|
</li>
|
|
</ul></li>
|
|
<li><a href="pyFTS.common.html#pyFTS.common.fts.FTS.forecast_ahead">forecast_ahead() (pyFTS.common.fts.FTS method)</a>
|
|
|
|
<ul>
|
|
<li><a href="pyFTS.models.html#pyFTS.models.pwfts.ProbabilisticWeightedFTS.forecast_ahead">(pyFTS.models.pwfts.ProbabilisticWeightedFTS method)</a>
|
|
</li>
|
|
<li><a href="pyFTS.models.seasonal.html#pyFTS.models.seasonal.cmsfts.ContextualMultiSeasonalFTS.forecast_ahead">(pyFTS.models.seasonal.cmsfts.ContextualMultiSeasonalFTS method)</a>
|
|
</li>
|
|
<li><a href="pyFTS.models.seasonal.html#pyFTS.models.seasonal.msfts.MultiSeasonalFTS.forecast_ahead">(pyFTS.models.seasonal.msfts.MultiSeasonalFTS method)</a>
|
|
</li>
|
|
</ul></li>
|
|
</ul></td>
|
|
<td style="width: 33%; vertical-align: top;"><ul>
|
|
<li><a href="pyFTS.benchmarks.html#pyFTS.benchmarks.arima.ARIMA.forecast_ahead_distribution">forecast_ahead_distribution() (pyFTS.benchmarks.arima.ARIMA method)</a>
|
|
|
|
<ul>
|
|
<li><a href="pyFTS.benchmarks.html#pyFTS.benchmarks.quantreg.QuantileRegression.forecast_ahead_distribution">(pyFTS.benchmarks.quantreg.QuantileRegression method)</a>
|
|
</li>
|
|
<li><a href="pyFTS.common.html#pyFTS.common.fts.FTS.forecast_ahead_distribution">(pyFTS.common.fts.FTS method)</a>
|
|
</li>
|
|
<li><a href="pyFTS.models.ensemble.html#pyFTS.models.ensemble.ensemble.EnsembleFTS.forecast_ahead_distribution">(pyFTS.models.ensemble.ensemble.EnsembleFTS method)</a>
|
|
</li>
|
|
<li><a href="pyFTS.models.html#pyFTS.models.pwfts.ProbabilisticWeightedFTS.forecast_ahead_distribution">(pyFTS.models.pwfts.ProbabilisticWeightedFTS method)</a>
|
|
</li>
|
|
</ul></li>
|
|
<li><a href="pyFTS.benchmarks.html#pyFTS.benchmarks.arima.ARIMA.forecast_ahead_interval">forecast_ahead_interval() (pyFTS.benchmarks.arima.ARIMA method)</a>
|
|
|
|
<ul>
|
|
<li><a href="pyFTS.benchmarks.html#pyFTS.benchmarks.quantreg.QuantileRegression.forecast_ahead_interval">(pyFTS.benchmarks.quantreg.QuantileRegression method)</a>
|
|
</li>
|
|
<li><a href="pyFTS.common.html#pyFTS.common.fts.FTS.forecast_ahead_interval">(pyFTS.common.fts.FTS method)</a>
|
|
</li>
|
|
<li><a href="pyFTS.models.ensemble.html#pyFTS.models.ensemble.ensemble.EnsembleFTS.forecast_ahead_interval">(pyFTS.models.ensemble.ensemble.EnsembleFTS method)</a>
|
|
</li>
|
|
<li><a href="pyFTS.models.html#pyFTS.models.pwfts.ProbabilisticWeightedFTS.forecast_ahead_interval">(pyFTS.models.pwfts.ProbabilisticWeightedFTS method)</a>
|
|
</li>
|
|
</ul></li>
|
|
<li><a href="pyFTS.benchmarks.html#pyFTS.benchmarks.arima.ARIMA.forecast_distribution">forecast_distribution() (pyFTS.benchmarks.arima.ARIMA method)</a>
|
|
|
|
<ul>
|
|
<li><a href="pyFTS.benchmarks.html#pyFTS.benchmarks.knn.KNearestNeighbors.forecast_distribution">(pyFTS.benchmarks.knn.KNearestNeighbors method)</a>
|
|
</li>
|
|
<li><a href="pyFTS.benchmarks.html#pyFTS.benchmarks.quantreg.QuantileRegression.forecast_distribution">(pyFTS.benchmarks.quantreg.QuantileRegression method)</a>
|
|
</li>
|
|
<li><a href="pyFTS.common.html#pyFTS.common.fts.FTS.forecast_distribution">(pyFTS.common.fts.FTS method)</a>
|
|
</li>
|
|
<li><a href="pyFTS.models.ensemble.html#pyFTS.models.ensemble.ensemble.EnsembleFTS.forecast_distribution">(pyFTS.models.ensemble.ensemble.EnsembleFTS method)</a>
|
|
</li>
|
|
<li><a href="pyFTS.models.ensemble.html#pyFTS.models.ensemble.multiseasonal.SeasonalEnsembleFTS.forecast_distribution">(pyFTS.models.ensemble.multiseasonal.SeasonalEnsembleFTS method)</a>
|
|
</li>
|
|
<li><a href="pyFTS.models.html#pyFTS.models.pwfts.ProbabilisticWeightedFTS.forecast_distribution">(pyFTS.models.pwfts.ProbabilisticWeightedFTS method)</a>
|
|
</li>
|
|
</ul></li>
|
|
<li><a href="pyFTS.benchmarks.html#pyFTS.benchmarks.arima.ARIMA.forecast_interval">forecast_interval() (pyFTS.benchmarks.arima.ARIMA method)</a>
|
|
|
|
<ul>
|
|
<li><a href="pyFTS.benchmarks.html#pyFTS.benchmarks.quantreg.QuantileRegression.forecast_interval">(pyFTS.benchmarks.quantreg.QuantileRegression method)</a>
|
|
</li>
|
|
<li><a href="pyFTS.common.html#pyFTS.common.fts.FTS.forecast_interval">(pyFTS.common.fts.FTS method)</a>
|
|
</li>
|
|
<li><a href="pyFTS.models.ensemble.html#pyFTS.models.ensemble.ensemble.EnsembleFTS.forecast_interval">(pyFTS.models.ensemble.ensemble.EnsembleFTS method)</a>
|
|
</li>
|
|
<li><a href="pyFTS.models.html#pyFTS.models.ifts.IntervalFTS.forecast_interval">(pyFTS.models.ifts.IntervalFTS method)</a>
|
|
</li>
|
|
<li><a href="pyFTS.models.nonstationary.html#pyFTS.models.nonstationary.cvfts.ConditionalVarianceFTS.forecast_interval">(pyFTS.models.nonstationary.cvfts.ConditionalVarianceFTS method)</a>
|
|
</li>
|
|
<li><a href="pyFTS.models.nonstationary.html#pyFTS.models.nonstationary.honsfts.HighOrderNonStationaryFTS.forecast_interval">(pyFTS.models.nonstationary.honsfts.HighOrderNonStationaryFTS method)</a>
|
|
</li>
|
|
<li><a href="pyFTS.models.nonstationary.html#pyFTS.models.nonstationary.nsfts.NonStationaryFTS.forecast_interval">(pyFTS.models.nonstationary.nsfts.NonStationaryFTS method)</a>
|
|
</li>
|
|
<li><a href="pyFTS.models.html#pyFTS.models.pwfts.ProbabilisticWeightedFTS.forecast_interval">(pyFTS.models.pwfts.ProbabilisticWeightedFTS method)</a>
|
|
</li>
|
|
</ul></li>
|
|
<li><a href="pyFTS.models.multivariate.html#pyFTS.models.multivariate.mvfts.MVFTS.format_data">format_data() (pyFTS.models.multivariate.mvfts.MVFTS method)</a>
|
|
</li>
|
|
<li><a href="pyFTS.common.html#pyFTS.common.fts.FTS">FTS (class in pyFTS.common.fts)</a>
|
|
</li>
|
|
<li><a href="pyFTS.models.nonstationary.html#pyFTS.models.nonstationary.common.fuzzify">fuzzify() (in module pyFTS.models.nonstationary.common)</a>
|
|
</li>
|
|
<li><a href="pyFTS.common.html#pyFTS.common.fts.FTS.fuzzy">fuzzy() (pyFTS.common.fts.FTS method)</a>
|
|
</li>
|
|
<li><a href="pyFTS.partitioners.html#pyFTS.partitioners.FCM.fuzzy_cmeans">fuzzy_cmeans() (in module pyFTS.partitioners.FCM)</a>
|
|
</li>
|
|
<li><a href="pyFTS.partitioners.html#pyFTS.partitioners.FCM.fuzzy_distance">fuzzy_distance() (in module pyFTS.partitioners.FCM)</a>
|
|
</li>
|
|
<li><a href="pyFTS.common.html#pyFTS.common.FuzzySet.fuzzyfy">fuzzyfy() (in module pyFTS.common.FuzzySet)</a>
|
|
</li>
|
|
<li><a href="pyFTS.common.html#pyFTS.common.FuzzySet.fuzzyfy_instance">fuzzyfy_instance() (in module pyFTS.common.FuzzySet)</a>
|
|
|
|
<ul>
|
|
<li><a href="pyFTS.models.multivariate.html#pyFTS.models.multivariate.common.fuzzyfy_instance">(in module pyFTS.models.multivariate.common)</a>
|
|
</li>
|
|
</ul></li>
|
|
<li><a href="pyFTS.common.html#pyFTS.common.FuzzySet.fuzzyfy_instances">fuzzyfy_instances() (in module pyFTS.common.FuzzySet)</a>
|
|
</li>
|
|
<li><a href="pyFTS.common.html#pyFTS.common.FuzzySet.fuzzyfy_series">fuzzyfy_series() (in module pyFTS.common.FuzzySet)</a>
|
|
</li>
|
|
<li><a href="pyFTS.common.html#pyFTS.common.FuzzySet.fuzzyfy_series_old">fuzzyfy_series_old() (in module pyFTS.common.FuzzySet)</a>
|
|
</li>
|
|
<li><a href="pyFTS.models.nonstationary.html#pyFTS.models.nonstationary.common.fuzzySeries">fuzzySeries() (in module pyFTS.models.nonstationary.common)</a>
|
|
</li>
|
|
<li><a href="pyFTS.common.html#pyFTS.common.Composite.FuzzySet">FuzzySet (class in pyFTS.common.Composite)</a>
|
|
|
|
<ul>
|
|
<li><a href="pyFTS.common.html#pyFTS.common.FuzzySet.FuzzySet">(class in pyFTS.common.FuzzySet)</a>
|
|
</li>
|
|
<li><a href="pyFTS.models.nonstationary.html#pyFTS.models.nonstationary.common.FuzzySet">(class in pyFTS.models.nonstationary.common)</a>
|
|
</li>
|
|
<li><a href="pyFTS.models.seasonal.html#pyFTS.models.seasonal.common.FuzzySet">(class in pyFTS.models.seasonal.common)</a>
|
|
</li>
|
|
</ul></li>
|
|
</ul></td>
|
|
</tr></table>
|
|
|
|
<h2 id="G">G</h2>
|
|
<table style="width: 100%" class="indextable genindextable"><tr>
|
|
<td style="width: 33%; vertical-align: top;"><ul>
|
|
<li><a href="pyFTS.common.html#pyFTS.common.Membership.gaussmf">gaussmf() (in module pyFTS.common.Membership)</a>
|
|
</li>
|
|
<li><a href="pyFTS.models.html#pyFTS.models.chen.ConventionalFTS.generate_flrg">generate_flrg() (pyFTS.models.chen.ConventionalFTS method)</a>
|
|
</li>
|
|
<li><a href="pyFTS.models.html#pyFTS.models.cheng.TrendWeightedFTS.generate_FLRG">generate_FLRG() (pyFTS.models.cheng.TrendWeightedFTS method)</a>
|
|
</li>
|
|
<li><a href="pyFTS.models.html#pyFTS.models.hofts.HighOrderFTS.generate_flrg">generate_flrg() (pyFTS.models.hofts.HighOrderFTS method)</a>
|
|
|
|
<ul>
|
|
<li><a href="pyFTS.models.html#pyFTS.models.ismailefendi.ImprovedWeightedFTS.generate_flrg">(pyFTS.models.ismailefendi.ImprovedWeightedFTS method)</a>
|
|
</li>
|
|
<li><a href="pyFTS.models.multivariate.html#pyFTS.models.multivariate.mvfts.MVFTS.generate_flrg">(pyFTS.models.multivariate.mvfts.MVFTS method)</a>
|
|
</li>
|
|
<li><a href="pyFTS.models.nonstationary.html#pyFTS.models.nonstationary.cvfts.ConditionalVarianceFTS.generate_flrg">(pyFTS.models.nonstationary.cvfts.ConditionalVarianceFTS method)</a>
|
|
</li>
|
|
<li><a href="pyFTS.models.nonstationary.html#pyFTS.models.nonstationary.honsfts.HighOrderNonStationaryFTS.generate_flrg">(pyFTS.models.nonstationary.honsfts.HighOrderNonStationaryFTS method)</a>
|
|
</li>
|
|
<li><a href="pyFTS.models.nonstationary.html#pyFTS.models.nonstationary.nsfts.NonStationaryFTS.generate_flrg">(pyFTS.models.nonstationary.nsfts.NonStationaryFTS method)</a>
|
|
</li>
|
|
<li><a href="pyFTS.models.html#pyFTS.models.pwfts.ProbabilisticWeightedFTS.generate_flrg">(pyFTS.models.pwfts.ProbabilisticWeightedFTS method)</a>
|
|
</li>
|
|
<li><a href="pyFTS.models.html#pyFTS.models.sadaei.ExponentialyWeightedFTS.generate_flrg">(pyFTS.models.sadaei.ExponentialyWeightedFTS method)</a>
|
|
</li>
|
|
<li><a href="pyFTS.models.seasonal.html#pyFTS.models.seasonal.cmsfts.ContextualMultiSeasonalFTS.generate_flrg">(pyFTS.models.seasonal.cmsfts.ContextualMultiSeasonalFTS method)</a>
|
|
</li>
|
|
<li><a href="pyFTS.models.seasonal.html#pyFTS.models.seasonal.msfts.MultiSeasonalFTS.generate_flrg">(pyFTS.models.seasonal.msfts.MultiSeasonalFTS method)</a>
|
|
</li>
|
|
<li><a href="pyFTS.models.seasonal.html#pyFTS.models.seasonal.sfts.SeasonalFTS.generate_flrg">(pyFTS.models.seasonal.sfts.SeasonalFTS method)</a>
|
|
</li>
|
|
</ul></li>
|
|
<li><a href="pyFTS.models.html#pyFTS.models.yu.WeightedFTS.generate_FLRG">generate_FLRG() (pyFTS.models.yu.WeightedFTS method)</a>
|
|
</li>
|
|
<li><a href="pyFTS.models.multivariate.html#pyFTS.models.multivariate.mvfts.MVFTS.generate_flrs">generate_flrs() (pyFTS.models.multivariate.mvfts.MVFTS method)</a>
|
|
</li>
|
|
<li><a href="pyFTS.data.html#pyFTS.data.artificial.generate_gaussian_linear">generate_gaussian_linear() (in module pyFTS.data.artificial)</a>
|
|
</li>
|
|
<li><a href="pyFTS.common.html#pyFTS.common.FLR.generate_high_order_recurrent_flr">generate_high_order_recurrent_flr() (in module pyFTS.common.FLR)</a>
|
|
</li>
|
|
<li><a href="pyFTS.common.html#pyFTS.common.FLR.generate_indexed_flrs">generate_indexed_flrs() (in module pyFTS.common.FLR)</a>
|
|
</li>
|
|
<li><a href="pyFTS.models.html#pyFTS.models.hofts.HighOrderFTS.generate_lhs_flrg">generate_lhs_flrg() (pyFTS.models.hofts.HighOrderFTS method)</a>
|
|
|
|
<ul>
|
|
<li><a href="pyFTS.models.html#pyFTS.models.pwfts.ProbabilisticWeightedFTS.generate_lhs_flrg">(pyFTS.models.pwfts.ProbabilisticWeightedFTS method)</a>
|
|
</li>
|
|
</ul></li>
|
|
<li><a href="pyFTS.models.multivariate.html#pyFTS.models.multivariate.mvfts.MVFTS.generate_lhs_flrs">generate_lhs_flrs() (pyFTS.models.multivariate.mvfts.MVFTS method)</a>
|
|
</li>
|
|
<li><a href="pyFTS.common.html#pyFTS.common.FLR.generate_non_recurrent_flrs">generate_non_recurrent_flrs() (in module pyFTS.common.FLR)</a>
|
|
</li>
|
|
<li><a href="pyFTS.common.html#pyFTS.common.FLR.generate_recurrent_flrs">generate_recurrent_flrs() (in module pyFTS.common.FLR)</a>
|
|
</li>
|
|
<li><a href="pyFTS.data.html#pyFTS.data.artificial.generate_uniform_linear">generate_uniform_linear() (in module pyFTS.data.artificial)</a>
|
|
</li>
|
|
<li><a href="pyFTS.benchmarks.html#pyFTS.benchmarks.benchmarks.get_benchmark_interval_methods">get_benchmark_interval_methods() (in module pyFTS.benchmarks.benchmarks)</a>
|
|
</li>
|
|
<li><a href="pyFTS.benchmarks.html#pyFTS.benchmarks.benchmarks.get_benchmark_point_methods">get_benchmark_point_methods() (in module pyFTS.benchmarks.benchmarks)</a>
|
|
</li>
|
|
<li><a href="pyFTS.benchmarks.html#pyFTS.benchmarks.benchmarks.get_benchmark_probabilistic_methods">get_benchmark_probabilistic_methods() (in module pyFTS.benchmarks.benchmarks)</a>
|
|
</li>
|
|
<li><a href="pyFTS.data.html#pyFTS.data.AirPassengers.get_data">get_data() (in module pyFTS.data.AirPassengers)</a>
|
|
|
|
<ul>
|
|
<li><a href="pyFTS.data.html#pyFTS.data.Bitcoin.get_data">(in module pyFTS.data.Bitcoin)</a>
|
|
</li>
|
|
<li><a href="pyFTS.data.html#pyFTS.data.DowJones.get_data">(in module pyFTS.data.DowJones)</a>
|
|
</li>
|
|
<li><a href="pyFTS.data.html#pyFTS.data.EURGBP.get_data">(in module pyFTS.data.EURGBP)</a>
|
|
</li>
|
|
<li><a href="pyFTS.data.html#pyFTS.data.EURUSD.get_data">(in module pyFTS.data.EURUSD)</a>
|
|
</li>
|
|
<li><a href="pyFTS.data.html#pyFTS.data.Enrollments.get_data">(in module pyFTS.data.Enrollments)</a>
|
|
</li>
|
|
<li><a href="pyFTS.data.html#pyFTS.data.Ethereum.get_data">(in module pyFTS.data.Ethereum)</a>
|
|
</li>
|
|
<li><a href="pyFTS.data.html#pyFTS.data.GBPUSD.get_data">(in module pyFTS.data.GBPUSD)</a>
|
|
</li>
|
|
<li><a href="pyFTS.data.html#pyFTS.data.NASDAQ.get_data">(in module pyFTS.data.NASDAQ)</a>
|
|
</li>
|
|
<li><a href="pyFTS.data.html#pyFTS.data.SONDA.get_data">(in module pyFTS.data.SONDA)</a>
|
|
</li>
|
|
<li><a href="pyFTS.data.html#pyFTS.data.SP500.get_data">(in module pyFTS.data.SP500)</a>
|
|
</li>
|
|
<li><a href="pyFTS.data.html#pyFTS.data.TAIEX.get_data">(in module pyFTS.data.TAIEX)</a>
|
|
</li>
|
|
<li><a href="pyFTS.data.html#pyFTS.data.henon.get_data">(in module pyFTS.data.henon)</a>
|
|
</li>
|
|
<li><a href="pyFTS.data.html#pyFTS.data.logistic_map.get_data">(in module pyFTS.data.logistic_map)</a>
|
|
</li>
|
|
<li><a href="pyFTS.data.html#pyFTS.data.lorentz.get_data">(in module pyFTS.data.lorentz)</a>
|
|
</li>
|
|
<li><a href="pyFTS.data.html#pyFTS.data.mackey_glass.get_data">(in module pyFTS.data.mackey_glass)</a>
|
|
</li>
|
|
<li><a href="pyFTS.data.html#pyFTS.data.rossler.get_data">(in module pyFTS.data.rossler)</a>
|
|
</li>
|
|
<li><a href="pyFTS.data.html#pyFTS.data.sunspots.get_data">(in module pyFTS.data.sunspots)</a>
|
|
</li>
|
|
<li><a href="pyFTS.models.seasonal.html#pyFTS.models.seasonal.SeasonalIndexer.DataFrameSeasonalIndexer.get_data">(pyFTS.models.seasonal.SeasonalIndexer.DataFrameSeasonalIndexer method)</a>
|
|
</li>
|
|
<li><a href="pyFTS.models.seasonal.html#pyFTS.models.seasonal.SeasonalIndexer.DateTimeSeasonalIndexer.get_data">(pyFTS.models.seasonal.SeasonalIndexer.DateTimeSeasonalIndexer method)</a>
|
|
</li>
|
|
<li><a href="pyFTS.models.seasonal.html#pyFTS.models.seasonal.SeasonalIndexer.LinearSeasonalIndexer.get_data">(pyFTS.models.seasonal.SeasonalIndexer.LinearSeasonalIndexer method)</a>
|
|
</li>
|
|
<li><a href="pyFTS.models.seasonal.html#pyFTS.models.seasonal.SeasonalIndexer.SeasonalIndexer.get_data">(pyFTS.models.seasonal.SeasonalIndexer.SeasonalIndexer method)</a>
|
|
</li>
|
|
</ul></li>
|
|
<li><a href="pyFTS.models.seasonal.html#pyFTS.models.seasonal.SeasonalIndexer.DataFrameSeasonalIndexer.get_data_by_season">get_data_by_season() (pyFTS.models.seasonal.SeasonalIndexer.DataFrameSeasonalIndexer method)</a>
|
|
|
|
<ul>
|
|
<li><a href="pyFTS.models.seasonal.html#pyFTS.models.seasonal.SeasonalIndexer.DateTimeSeasonalIndexer.get_data_by_season">(pyFTS.models.seasonal.SeasonalIndexer.DateTimeSeasonalIndexer method)</a>
|
|
</li>
|
|
<li><a href="pyFTS.models.seasonal.html#pyFTS.models.seasonal.SeasonalIndexer.SeasonalIndexer.get_data_by_season">(pyFTS.models.seasonal.SeasonalIndexer.SeasonalIndexer method)</a>
|
|
</li>
|
|
</ul></li>
|
|
<li><a href="pyFTS.data.html#pyFTS.data.AirPassengers.get_dataframe">get_dataframe() (in module pyFTS.data.AirPassengers)</a>
|
|
|
|
<ul>
|
|
<li><a href="pyFTS.data.html#pyFTS.data.Bitcoin.get_dataframe">(in module pyFTS.data.Bitcoin)</a>
|
|
</li>
|
|
<li><a href="pyFTS.data.html#pyFTS.data.DowJones.get_dataframe">(in module pyFTS.data.DowJones)</a>
|
|
</li>
|
|
<li><a href="pyFTS.data.html#pyFTS.data.EURGBP.get_dataframe">(in module pyFTS.data.EURGBP)</a>
|
|
</li>
|
|
<li><a href="pyFTS.data.html#pyFTS.data.EURUSD.get_dataframe">(in module pyFTS.data.EURUSD)</a>
|
|
</li>
|
|
<li><a href="pyFTS.data.html#pyFTS.data.Enrollments.get_dataframe">(in module pyFTS.data.Enrollments)</a>
|
|
</li>
|
|
<li><a href="pyFTS.data.html#pyFTS.data.Ethereum.get_dataframe">(in module pyFTS.data.Ethereum)</a>
|
|
</li>
|
|
<li><a href="pyFTS.data.html#pyFTS.data.GBPUSD.get_dataframe">(in module pyFTS.data.GBPUSD)</a>
|
|
</li>
|
|
<li><a href="pyFTS.data.html#pyFTS.data.INMET.get_dataframe">(in module pyFTS.data.INMET)</a>
|
|
</li>
|
|
<li><a href="pyFTS.data.html#pyFTS.data.NASDAQ.get_dataframe">(in module pyFTS.data.NASDAQ)</a>
|
|
</li>
|
|
<li><a href="pyFTS.data.html#pyFTS.data.SONDA.get_dataframe">(in module pyFTS.data.SONDA)</a>
|
|
</li>
|
|
<li><a href="pyFTS.data.html#pyFTS.data.SP500.get_dataframe">(in module pyFTS.data.SP500)</a>
|
|
</li>
|
|
<li><a href="pyFTS.data.html#pyFTS.data.TAIEX.get_dataframe">(in module pyFTS.data.TAIEX)</a>
|
|
</li>
|
|
<li><a href="pyFTS.data.html#pyFTS.data.common.get_dataframe">(in module pyFTS.data.common)</a>
|
|
</li>
|
|
<li><a href="pyFTS.data.html#pyFTS.data.henon.get_dataframe">(in module pyFTS.data.henon)</a>
|
|
</li>
|
|
<li><a href="pyFTS.data.html#pyFTS.data.lorentz.get_dataframe">(in module pyFTS.data.lorentz)</a>
|
|
</li>
|
|
<li><a href="pyFTS.data.html#pyFTS.data.rossler.get_dataframe">(in module pyFTS.data.rossler)</a>
|
|
</li>
|
|
<li><a href="pyFTS.data.html#pyFTS.data.sunspots.get_dataframe">(in module pyFTS.data.sunspots)</a>
|
|
</li>
|
|
</ul></li>
|
|
</ul></td>
|
|
<td style="width: 33%; vertical-align: top;"><ul>
|
|
<li><a href="pyFTS.benchmarks.html#pyFTS.benchmarks.Util.get_dataframe_from_bd">get_dataframe_from_bd() (in module pyFTS.benchmarks.Util)</a>
|
|
</li>
|
|
<li><a href="pyFTS.models.ensemble.html#pyFTS.models.ensemble.ensemble.EnsembleFTS.get_distribution_interquantile">get_distribution_interquantile() (pyFTS.models.ensemble.ensemble.EnsembleFTS method)</a>
|
|
</li>
|
|
<li><a href="pyFTS.benchmarks.html#pyFTS.benchmarks.Measures.get_distribution_statistics">get_distribution_statistics() (in module pyFTS.benchmarks.Measures)</a>
|
|
</li>
|
|
<li><a href="pyFTS.common.html#pyFTS.common.FuzzySet.get_fuzzysets">get_fuzzysets() (in module pyFTS.common.FuzzySet)</a>
|
|
</li>
|
|
<li><a href="pyFTS.models.seasonal.html#pyFTS.models.seasonal.SeasonalIndexer.DateTimeSeasonalIndexer.get_index">get_index() (pyFTS.models.seasonal.SeasonalIndexer.DateTimeSeasonalIndexer method)</a>
|
|
|
|
<ul>
|
|
<li><a href="pyFTS.models.seasonal.html#pyFTS.models.seasonal.SeasonalIndexer.SeasonalIndexer.get_index">(pyFTS.models.seasonal.SeasonalIndexer.SeasonalIndexer method)</a>
|
|
</li>
|
|
</ul></li>
|
|
<li><a href="pyFTS.models.seasonal.html#pyFTS.models.seasonal.SeasonalIndexer.DataFrameSeasonalIndexer.get_index_by_season">get_index_by_season() (pyFTS.models.seasonal.SeasonalIndexer.DataFrameSeasonalIndexer method)</a>
|
|
|
|
<ul>
|
|
<li><a href="pyFTS.models.seasonal.html#pyFTS.models.seasonal.SeasonalIndexer.DateTimeSeasonalIndexer.get_index_by_season">(pyFTS.models.seasonal.SeasonalIndexer.DateTimeSeasonalIndexer method)</a>
|
|
</li>
|
|
<li><a href="pyFTS.models.seasonal.html#pyFTS.models.seasonal.SeasonalIndexer.LinearSeasonalIndexer.get_index_by_season">(pyFTS.models.seasonal.SeasonalIndexer.LinearSeasonalIndexer method)</a>
|
|
</li>
|
|
<li><a href="pyFTS.models.seasonal.html#pyFTS.models.seasonal.SeasonalIndexer.SeasonalIndexer.get_index_by_season">(pyFTS.models.seasonal.SeasonalIndexer.SeasonalIndexer method)</a>
|
|
</li>
|
|
</ul></li>
|
|
<li><a href="pyFTS.models.ensemble.html#pyFTS.models.ensemble.ensemble.EnsembleFTS.get_interval">get_interval() (pyFTS.models.ensemble.ensemble.EnsembleFTS method)</a>
|
|
</li>
|
|
<li><a href="pyFTS.benchmarks.html#pyFTS.benchmarks.benchmarks.get_interval_methods">get_interval_methods() (in module pyFTS.benchmarks.benchmarks)</a>
|
|
</li>
|
|
<li><a href="pyFTS.benchmarks.html#pyFTS.benchmarks.Measures.get_interval_statistics">get_interval_statistics() (in module pyFTS.benchmarks.Measures)</a>
|
|
</li>
|
|
<li><a href="pyFTS.common.html#pyFTS.common.flrg.FLRG.get_key">get_key() (pyFTS.common.flrg.FLRG method)</a>
|
|
|
|
<ul>
|
|
<li><a href="pyFTS.models.html#pyFTS.models.chen.ConventionalFLRG.get_key">(pyFTS.models.chen.ConventionalFLRG method)</a>
|
|
</li>
|
|
<li><a href="pyFTS.models.nonstationary.html#pyFTS.models.nonstationary.flrg.NonStationaryFLRG.get_key">(pyFTS.models.nonstationary.flrg.NonStationaryFLRG method)</a>
|
|
</li>
|
|
<li><a href="pyFTS.models.nonstationary.html#pyFTS.models.nonstationary.nsfts.ConventionalNonStationaryFLRG.get_key">(pyFTS.models.nonstationary.nsfts.ConventionalNonStationaryFLRG method)</a>
|
|
</li>
|
|
<li><a href="pyFTS.models.seasonal.html#pyFTS.models.seasonal.sfts.SeasonalFLRG.get_key">(pyFTS.models.seasonal.sfts.SeasonalFLRG method)</a>
|
|
</li>
|
|
</ul></li>
|
|
<li><a href="pyFTS.common.html#pyFTS.common.flrg.FLRG.get_lower">get_lower() (pyFTS.common.flrg.FLRG method)</a>
|
|
|
|
<ul>
|
|
<li><a href="pyFTS.models.html#pyFTS.models.ifts.IntervalFTS.get_lower">(pyFTS.models.ifts.IntervalFTS method)</a>
|
|
</li>
|
|
<li><a href="pyFTS.models.nonstationary.html#pyFTS.models.nonstationary.common.FuzzySet.get_lower">(pyFTS.models.nonstationary.common.FuzzySet method)</a>
|
|
</li>
|
|
<li><a href="pyFTS.models.nonstationary.html#pyFTS.models.nonstationary.flrg.NonStationaryFLRG.get_lower">(pyFTS.models.nonstationary.flrg.NonStationaryFLRG method)</a>
|
|
</li>
|
|
<li><a href="pyFTS.models.html#pyFTS.models.pwfts.ProbabilisticWeightedFLRG.get_lower">(pyFTS.models.pwfts.ProbabilisticWeightedFLRG method)</a>
|
|
</li>
|
|
<li><a href="pyFTS.models.html#pyFTS.models.pwfts.ProbabilisticWeightedFTS.get_lower">(pyFTS.models.pwfts.ProbabilisticWeightedFTS method)</a>
|
|
</li>
|
|
</ul></li>
|
|
<li><a href="pyFTS.common.html#pyFTS.common.FuzzySet.get_maximum_membership_fuzzyset">get_maximum_membership_fuzzyset() (in module pyFTS.common.FuzzySet)</a>
|
|
</li>
|
|
<li><a href="pyFTS.common.html#pyFTS.common.FuzzySet.get_maximum_membership_fuzzyset_index">get_maximum_membership_fuzzyset_index() (in module pyFTS.common.FuzzySet)</a>
|
|
</li>
|
|
<li><a href="pyFTS.common.html#pyFTS.common.flrg.FLRG.get_membership">get_membership() (pyFTS.common.flrg.FLRG method)</a>
|
|
|
|
<ul>
|
|
<li><a href="pyFTS.models.multivariate.html#pyFTS.models.multivariate.flrg.FLRG.get_membership">(pyFTS.models.multivariate.flrg.FLRG method)</a>
|
|
</li>
|
|
<li><a href="pyFTS.models.nonstationary.html#pyFTS.models.nonstationary.flrg.NonStationaryFLRG.get_membership">(pyFTS.models.nonstationary.flrg.NonStationaryFLRG method)</a>
|
|
</li>
|
|
<li><a href="pyFTS.models.html#pyFTS.models.pwfts.ProbabilisticWeightedFLRG.get_membership">(pyFTS.models.pwfts.ProbabilisticWeightedFLRG method)</a>
|
|
</li>
|
|
</ul></li>
|
|
<li><a href="pyFTS.common.html#pyFTS.common.flrg.FLRG.get_midpoint">get_midpoint() (pyFTS.common.flrg.FLRG method)</a>
|
|
|
|
<ul>
|
|
<li><a href="pyFTS.models.nonstationary.html#pyFTS.models.nonstationary.common.FuzzySet.get_midpoint">(pyFTS.models.nonstationary.common.FuzzySet method)</a>
|
|
</li>
|
|
<li><a href="pyFTS.models.nonstationary.html#pyFTS.models.nonstationary.flrg.NonStationaryFLRG.get_midpoint">(pyFTS.models.nonstationary.flrg.NonStationaryFLRG method)</a>
|
|
</li>
|
|
<li><a href="pyFTS.models.html#pyFTS.models.pwfts.ProbabilisticWeightedFLRG.get_midpoint">(pyFTS.models.pwfts.ProbabilisticWeightedFLRG method)</a>
|
|
</li>
|
|
<li><a href="pyFTS.models.html#pyFTS.models.pwfts.ProbabilisticWeightedFTS.get_midpoint">(pyFTS.models.pwfts.ProbabilisticWeightedFTS method)</a>
|
|
</li>
|
|
</ul></li>
|
|
<li><a href="pyFTS.common.html#pyFTS.common.flrg.FLRG.get_midpoints">get_midpoints() (pyFTS.common.flrg.FLRG method)</a>
|
|
|
|
<ul>
|
|
<li><a href="pyFTS.models.seasonal.html#pyFTS.models.seasonal.cmsfts.ContextualMultiSeasonalFTS.get_midpoints">(pyFTS.models.seasonal.cmsfts.ContextualMultiSeasonalFTS method)</a>
|
|
</li>
|
|
<li><a href="pyFTS.models.seasonal.html#pyFTS.models.seasonal.sfts.SeasonalFTS.get_midpoints">(pyFTS.models.seasonal.sfts.SeasonalFTS method)</a>
|
|
</li>
|
|
</ul></li>
|
|
<li><a href="pyFTS.models.ensemble.html#pyFTS.models.ensemble.ensemble.EnsembleFTS.get_models_forecasts">get_models_forecasts() (pyFTS.models.ensemble.ensemble.EnsembleFTS method)</a>
|
|
</li>
|
|
<li><a href="pyFTS.partitioners.html#pyFTS.partitioners.partitioner.Partitioner.get_name">get_name() (pyFTS.partitioners.partitioner.Partitioner method)</a>
|
|
</li>
|
|
<li><a href="pyFTS.models.ensemble.html#pyFTS.models.ensemble.ensemble.EnsembleFTS.get_point">get_point() (pyFTS.models.ensemble.ensemble.EnsembleFTS method)</a>
|
|
</li>
|
|
<li><a href="pyFTS.benchmarks.html#pyFTS.benchmarks.benchmarks.get_point_methods">get_point_methods() (in module pyFTS.benchmarks.benchmarks)</a>
|
|
</li>
|
|
<li><a href="pyFTS.benchmarks.html#pyFTS.benchmarks.Measures.get_point_statistics">get_point_statistics() (in module pyFTS.benchmarks.Measures)</a>
|
|
</li>
|
|
<li><a href="pyFTS.models.nonstationary.html#pyFTS.models.nonstationary.partitioners.PolynomialNonStationaryPartitioner.get_polynomial_perturbations">get_polynomial_perturbations() (pyFTS.models.nonstationary.partitioners.PolynomialNonStationaryPartitioner method)</a>
|
|
</li>
|
|
<li><a href="pyFTS.benchmarks.html#pyFTS.benchmarks.benchmarks.get_probabilistic_methods">get_probabilistic_methods() (in module pyFTS.benchmarks.benchmarks)</a>
|
|
</li>
|
|
<li><a href="pyFTS.models.seasonal.html#pyFTS.models.seasonal.SeasonalIndexer.DataFrameSeasonalIndexer.get_season_by_index">get_season_by_index() (pyFTS.models.seasonal.SeasonalIndexer.DataFrameSeasonalIndexer method)</a>
|
|
|
|
<ul>
|
|
<li><a href="pyFTS.models.seasonal.html#pyFTS.models.seasonal.SeasonalIndexer.DateTimeSeasonalIndexer.get_season_by_index">(pyFTS.models.seasonal.SeasonalIndexer.DateTimeSeasonalIndexer method)</a>
|
|
</li>
|
|
<li><a href="pyFTS.models.seasonal.html#pyFTS.models.seasonal.SeasonalIndexer.LinearSeasonalIndexer.get_season_by_index">(pyFTS.models.seasonal.SeasonalIndexer.LinearSeasonalIndexer method)</a>
|
|
</li>
|
|
<li><a href="pyFTS.models.seasonal.html#pyFTS.models.seasonal.SeasonalIndexer.SeasonalIndexer.get_season_by_index">(pyFTS.models.seasonal.SeasonalIndexer.SeasonalIndexer method)</a>
|
|
</li>
|
|
</ul></li>
|
|
<li><a href="pyFTS.models.seasonal.html#pyFTS.models.seasonal.SeasonalIndexer.DataFrameSeasonalIndexer.get_season_of_data">get_season_of_data() (pyFTS.models.seasonal.SeasonalIndexer.DataFrameSeasonalIndexer method)</a>
|
|
|
|
<ul>
|
|
<li><a href="pyFTS.models.seasonal.html#pyFTS.models.seasonal.SeasonalIndexer.DateTimeSeasonalIndexer.get_season_of_data">(pyFTS.models.seasonal.SeasonalIndexer.DateTimeSeasonalIndexer method)</a>
|
|
</li>
|
|
<li><a href="pyFTS.models.seasonal.html#pyFTS.models.seasonal.SeasonalIndexer.LinearSeasonalIndexer.get_season_of_data">(pyFTS.models.seasonal.SeasonalIndexer.LinearSeasonalIndexer method)</a>
|
|
</li>
|
|
<li><a href="pyFTS.models.seasonal.html#pyFTS.models.seasonal.SeasonalIndexer.SeasonalIndexer.get_season_of_data">(pyFTS.models.seasonal.SeasonalIndexer.SeasonalIndexer method)</a>
|
|
</li>
|
|
</ul></li>
|
|
<li><a href="pyFTS.models.html#pyFTS.models.ifts.IntervalFTS.get_sequence_membership">get_sequence_membership() (pyFTS.models.ifts.IntervalFTS method)</a>
|
|
</li>
|
|
<li><a href="pyFTS.common.html#pyFTS.common.fts.FTS.get_UoD">get_UoD() (pyFTS.common.fts.FTS method)</a>
|
|
</li>
|
|
<li><a href="pyFTS.common.html#pyFTS.common.flrg.FLRG.get_upper">get_upper() (pyFTS.common.flrg.FLRG method)</a>
|
|
|
|
<ul>
|
|
<li><a href="pyFTS.models.html#pyFTS.models.ifts.IntervalFTS.get_upper">(pyFTS.models.ifts.IntervalFTS method)</a>
|
|
</li>
|
|
<li><a href="pyFTS.models.nonstationary.html#pyFTS.models.nonstationary.common.FuzzySet.get_upper">(pyFTS.models.nonstationary.common.FuzzySet method)</a>
|
|
</li>
|
|
<li><a href="pyFTS.models.nonstationary.html#pyFTS.models.nonstationary.flrg.NonStationaryFLRG.get_upper">(pyFTS.models.nonstationary.flrg.NonStationaryFLRG method)</a>
|
|
</li>
|
|
<li><a href="pyFTS.models.html#pyFTS.models.pwfts.ProbabilisticWeightedFLRG.get_upper">(pyFTS.models.pwfts.ProbabilisticWeightedFLRG method)</a>
|
|
</li>
|
|
<li><a href="pyFTS.models.html#pyFTS.models.pwfts.ProbabilisticWeightedFTS.get_upper">(pyFTS.models.pwfts.ProbabilisticWeightedFTS method)</a>
|
|
</li>
|
|
</ul></li>
|
|
<li><a href="pyFTS.common.html#pyFTS.common.tree.FLRGTreeNode.getChildren">getChildren() (pyFTS.common.tree.FLRGTreeNode method)</a>
|
|
</li>
|
|
<li><a href="pyFTS.common.html#pyFTS.common.tree.FLRGTreeNode.getStr">getStr() (pyFTS.common.tree.FLRGTreeNode method)</a>
|
|
</li>
|
|
<li><a href="pyFTS.common.html#pyFTS.common.FuzzySet.grant_bounds">grant_bounds() (in module pyFTS.common.FuzzySet)</a>
|
|
</li>
|
|
<li><a href="pyFTS.partitioners.html#pyFTS.partitioners.Grid.GridPartitioner">GridPartitioner (class in pyFTS.partitioners.Grid)</a>
|
|
</li>
|
|
</ul></td>
|
|
</tr></table>
|
|
|
|
<h2 id="H">H</h2>
|
|
<table style="width: 100%" class="indextable genindextable"><tr>
|
|
<td style="width: 33%; vertical-align: top;"><ul>
|
|
<li><a href="pyFTS.probabilistic.html#pyFTS.probabilistic.kde.KernelSmoothing.h">h (pyFTS.probabilistic.kde.KernelSmoothing attribute)</a>
|
|
</li>
|
|
<li><a href="pyFTS.common.html#pyFTS.common.fts.FTS.has_interval_forecasting">has_interval_forecasting (pyFTS.common.fts.FTS attribute)</a>
|
|
</li>
|
|
<li><a href="pyFTS.common.html#pyFTS.common.fts.FTS.has_point_forecasting">has_point_forecasting (pyFTS.common.fts.FTS attribute)</a>
|
|
</li>
|
|
<li><a href="pyFTS.common.html#pyFTS.common.fts.FTS.has_probability_forecasting">has_probability_forecasting (pyFTS.common.fts.FTS attribute)</a>
|
|
</li>
|
|
<li><a href="pyFTS.common.html#pyFTS.common.fts.FTS.has_seasonality">has_seasonality (pyFTS.common.fts.FTS attribute)</a>
|
|
</li>
|
|
<li><a href="pyFTS.benchmarks.html#pyFTS.benchmarks.Measures.heavyside">heavyside() (in module pyFTS.benchmarks.Measures)</a>
|
|
</li>
|
|
<li><a href="pyFTS.benchmarks.html#pyFTS.benchmarks.Measures.heavyside_cdf">heavyside_cdf() (in module pyFTS.benchmarks.Measures)</a>
|
|
</li>
|
|
<li><a href="pyFTS.models.html#pyFTS.models.hofts.HighOrderFLRG">HighOrderFLRG (class in pyFTS.models.hofts)</a>
|
|
</li>
|
|
<li><a href="pyFTS.models.html#pyFTS.models.hofts.HighOrderFTS">HighOrderFTS (class in pyFTS.models.hofts)</a>
|
|
|
|
<ul>
|
|
<li><a href="pyFTS.models.html#pyFTS.models.hwang.HighOrderFTS">(class in pyFTS.models.hwang)</a>
|
|
</li>
|
|
</ul></li>
|
|
</ul></td>
|
|
<td style="width: 33%; vertical-align: top;"><ul>
|
|
<li><a href="pyFTS.models.nonstationary.html#pyFTS.models.nonstationary.cvfts.HighOrderNonstationaryFLRG">HighOrderNonstationaryFLRG (class in pyFTS.models.nonstationary.cvfts)</a>
|
|
</li>
|
|
<li><a href="pyFTS.models.nonstationary.html#pyFTS.models.nonstationary.honsfts.HighOrderNonStationaryFLRG">HighOrderNonStationaryFLRG (class in pyFTS.models.nonstationary.honsfts)</a>
|
|
</li>
|
|
<li><a href="pyFTS.models.nonstationary.html#pyFTS.models.nonstationary.honsfts.HighOrderNonStationaryFTS">HighOrderNonStationaryFTS (class in pyFTS.models.nonstationary.honsfts)</a>
|
|
</li>
|
|
<li><a href="pyFTS.models.seasonal.html#pyFTS.models.seasonal.common.DateTime.hour">hour (pyFTS.models.seasonal.common.DateTime attribute)</a>
|
|
</li>
|
|
<li><a href="pyFTS.models.seasonal.html#pyFTS.models.seasonal.common.DateTime.hour_of_day">hour_of_day (pyFTS.models.seasonal.common.DateTime attribute)</a>
|
|
</li>
|
|
<li><a href="pyFTS.models.seasonal.html#pyFTS.models.seasonal.common.DateTime.hour_of_month">hour_of_month (pyFTS.models.seasonal.common.DateTime attribute)</a>
|
|
</li>
|
|
<li><a href="pyFTS.models.seasonal.html#pyFTS.models.seasonal.common.DateTime.hour_of_week">hour_of_week (pyFTS.models.seasonal.common.DateTime attribute)</a>
|
|
</li>
|
|
<li><a href="pyFTS.models.seasonal.html#pyFTS.models.seasonal.common.DateTime.hour_of_year">hour_of_year (pyFTS.models.seasonal.common.DateTime attribute)</a>
|
|
</li>
|
|
<li><a href="pyFTS.partitioners.html#pyFTS.partitioners.Huarng.HuarngPartitioner">HuarngPartitioner (class in pyFTS.partitioners.Huarng)</a>
|
|
</li>
|
|
</ul></td>
|
|
</tr></table>
|
|
|
|
<h2 id="I">I</h2>
|
|
<table style="width: 100%" class="indextable genindextable"><tr>
|
|
<td style="width: 33%; vertical-align: top;"><ul>
|
|
<li><a href="pyFTS.models.html#pyFTS.models.ismailefendi.ImprovedWeightedFLRG">ImprovedWeightedFLRG (class in pyFTS.models.ismailefendi)</a>
|
|
</li>
|
|
<li><a href="pyFTS.models.html#pyFTS.models.ismailefendi.ImprovedWeightedFTS">ImprovedWeightedFTS (class in pyFTS.models.ismailefendi)</a>
|
|
</li>
|
|
<li><a href="pyFTS.common.html#pyFTS.common.FLR.IndexedFLR.index">index (pyFTS.common.FLR.IndexedFLR attribute)</a>
|
|
</li>
|
|
<li><a href="pyFTS.common.html#pyFTS.common.SortedCollection.SortedCollection.index">index() (pyFTS.common.SortedCollection.SortedCollection method)</a>
|
|
</li>
|
|
<li><a href="pyFTS.common.html#pyFTS.common.FLR.IndexedFLR">IndexedFLR (class in pyFTS.common.FLR)</a>
|
|
</li>
|
|
<li><a href="pyFTS.common.html#pyFTS.common.fts.FTS.indexer">indexer (pyFTS.common.fts.FTS attribute)</a>
|
|
</li>
|
|
<li><a href="pyFTS.partitioners.html#pyFTS.partitioners.Entropy.informationGain">informationGain() (in module pyFTS.partitioners.Entropy)</a>
|
|
</li>
|
|
<li><a href="pyFTS.common.html#pyFTS.common.SortedCollection.SortedCollection.insert">insert() (pyFTS.common.SortedCollection.SortedCollection method)</a>
|
|
</li>
|
|
<li><a href="pyFTS.benchmarks.html#pyFTS.benchmarks.Util.insert_benchmark">insert_benchmark() (in module pyFTS.benchmarks.Util)</a>
|
|
</li>
|
|
<li><a href="pyFTS.common.html#pyFTS.common.SortedCollection.SortedCollection.insert_right">insert_right() (pyFTS.common.SortedCollection.SortedCollection method)</a>
|
|
</li>
|
|
<li><a href="pyFTS.common.html#pyFTS.common.SortedCollection.SortedCollection.inside">inside() (pyFTS.common.SortedCollection.SortedCollection method)</a>
|
|
</li>
|
|
<li><a href="pyFTS.benchmarks.html#pyFTS.benchmarks.Util.interval_dataframe_analytic_columns">interval_dataframe_analytic_columns() (in module pyFTS.benchmarks.Util)</a>
|
|
</li>
|
|
</ul></td>
|
|
<td style="width: 33%; vertical-align: top;"><ul>
|
|
<li><a href="pyFTS.benchmarks.html#pyFTS.benchmarks.Util.interval_dataframe_synthetic_columns">interval_dataframe_synthetic_columns() (in module pyFTS.benchmarks.Util)</a>
|
|
</li>
|
|
<li><a href="pyFTS.models.html#pyFTS.models.pwfts.ProbabilisticWeightedFTS.interval_heuristic">interval_heuristic() (pyFTS.models.pwfts.ProbabilisticWeightedFTS method)</a>
|
|
</li>
|
|
<li><a href="pyFTS.models.html#pyFTS.models.pwfts.ProbabilisticWeightedFTS.interval_quantile">interval_quantile() (pyFTS.models.pwfts.ProbabilisticWeightedFTS method)</a>
|
|
</li>
|
|
<li><a href="pyFTS.benchmarks.html#pyFTS.benchmarks.quantreg.QuantileRegression.interval_to_interval">interval_to_interval() (pyFTS.benchmarks.quantreg.QuantileRegression method)</a>
|
|
</li>
|
|
<li><a href="pyFTS.models.html#pyFTS.models.ifts.IntervalFTS">IntervalFTS (class in pyFTS.models.ifts)</a>
|
|
</li>
|
|
<li><a href="pyFTS.common.html#pyFTS.common.Transformations.AdaptiveExpectation.inverse">inverse() (pyFTS.common.Transformations.AdaptiveExpectation method)</a>
|
|
|
|
<ul>
|
|
<li><a href="pyFTS.common.html#pyFTS.common.Transformations.BoxCox.inverse">(pyFTS.common.Transformations.BoxCox method)</a>
|
|
</li>
|
|
<li><a href="pyFTS.common.html#pyFTS.common.Transformations.Differential.inverse">(pyFTS.common.Transformations.Differential method)</a>
|
|
</li>
|
|
<li><a href="pyFTS.common.html#pyFTS.common.Transformations.Scale.inverse">(pyFTS.common.Transformations.Scale method)</a>
|
|
</li>
|
|
<li><a href="pyFTS.common.html#pyFTS.common.Transformations.Transformation.inverse">(pyFTS.common.Transformations.Transformation method)</a>
|
|
</li>
|
|
</ul></li>
|
|
<li><a href="pyFTS.common.html#pyFTS.common.fts.FTS.is_high_order">is_high_order (pyFTS.common.fts.FTS attribute)</a>
|
|
</li>
|
|
<li><a href="pyFTS.common.html#pyFTS.common.fts.FTS.is_multivariate">is_multivariate (pyFTS.common.fts.FTS attribute)</a>
|
|
</li>
|
|
</ul></td>
|
|
</tr></table>
|
|
|
|
<h2 id="K">K</h2>
|
|
<table style="width: 100%" class="indextable genindextable"><tr>
|
|
<td style="width: 33%; vertical-align: top;"><ul>
|
|
<li><a href="pyFTS.probabilistic.html#pyFTS.probabilistic.kde.KernelSmoothing.kernel">kernel (pyFTS.probabilistic.kde.KernelSmoothing attribute)</a>
|
|
</li>
|
|
<li><a href="pyFTS.probabilistic.html#pyFTS.probabilistic.kde.KernelSmoothing.kernel_function">kernel_function() (pyFTS.probabilistic.kde.KernelSmoothing method)</a>
|
|
</li>
|
|
<li><a href="pyFTS.probabilistic.html#pyFTS.probabilistic.kde.KernelSmoothing">KernelSmoothing (class in pyFTS.probabilistic.kde)</a>
|
|
</li>
|
|
</ul></td>
|
|
<td style="width: 33%; vertical-align: top;"><ul>
|
|
<li><a href="pyFTS.common.html#pyFTS.common.SortedCollection.SortedCollection.key">key (pyFTS.common.SortedCollection.SortedCollection attribute)</a>
|
|
</li>
|
|
<li><a href="pyFTS.benchmarks.html#pyFTS.benchmarks.knn.KNearestNeighbors">KNearestNeighbors (class in pyFTS.benchmarks.knn)</a>
|
|
</li>
|
|
<li><a href="pyFTS.benchmarks.html#pyFTS.benchmarks.knn.KNearestNeighbors.knn">knn() (pyFTS.benchmarks.knn.KNearestNeighbors method)</a>
|
|
</li>
|
|
<li><a href="pyFTS.probabilistic.html#pyFTS.probabilistic.ProbabilityDistribution.ProbabilityDistribution.kullbackleiblerdivergence">kullbackleiblerdivergence() (pyFTS.probabilistic.ProbabilityDistribution.ProbabilityDistribution method)</a>
|
|
</li>
|
|
</ul></td>
|
|
</tr></table>
|
|
|
|
<h2 id="L">L</h2>
|
|
<table style="width: 100%" class="indextable genindextable"><tr>
|
|
<td style="width: 33%; vertical-align: top;"><ul>
|
|
<li><a href="pyFTS.probabilistic.html#pyFTS.probabilistic.ProbabilityDistribution.ProbabilityDistribution.labels">labels (pyFTS.probabilistic.ProbabilityDistribution.ProbabilityDistribution attribute)</a>
|
|
</li>
|
|
<li><a href="pyFTS.common.html#pyFTS.common.fts.FTS.len_total">len_total() (pyFTS.common.fts.FTS method)</a>
|
|
</li>
|
|
<li><a href="pyFTS.common.html#pyFTS.common.FLR.FLR.LHS">LHS (pyFTS.common.FLR.FLR attribute)</a>
|
|
|
|
<ul>
|
|
<li><a href="pyFTS.common.html#pyFTS.common.flrg.FLRG.LHS">(pyFTS.common.flrg.FLRG attribute)</a>
|
|
</li>
|
|
</ul></li>
|
|
<li><a href="pyFTS.models.html#pyFTS.models.pwfts.ProbabilisticWeightedFLRG.lhs_conditional_probability">lhs_conditional_probability() (pyFTS.models.pwfts.ProbabilisticWeightedFLRG method)</a>
|
|
</li>
|
|
<li><a href="pyFTS.models.nonstationary.html#pyFTS.models.nonstationary.perturbation.linear">linear() (in module pyFTS.models.nonstationary.perturbation)</a>
|
|
</li>
|
|
</ul></td>
|
|
<td style="width: 33%; vertical-align: top;"><ul>
|
|
<li><a href="pyFTS.benchmarks.html#pyFTS.benchmarks.quantreg.QuantileRegression.linearmodel">linearmodel() (pyFTS.benchmarks.quantreg.QuantileRegression method)</a>
|
|
</li>
|
|
<li><a href="pyFTS.models.seasonal.html#pyFTS.models.seasonal.SeasonalIndexer.LinearSeasonalIndexer">LinearSeasonalIndexer (class in pyFTS.models.seasonal.SeasonalIndexer)</a>
|
|
</li>
|
|
<li><a href="pyFTS.common.html#pyFTS.common.Util.load_env">load_env() (in module pyFTS.common.Util)</a>
|
|
</li>
|
|
<li><a href="pyFTS.common.html#pyFTS.common.Util.load_obj">load_obj() (in module pyFTS.common.Util)</a>
|
|
</li>
|
|
<li><a href="pyFTS.models.nonstationary.html#pyFTS.models.nonstationary.common.FuzzySet.location">location (pyFTS.models.nonstationary.common.FuzzySet attribute)</a>
|
|
</li>
|
|
<li><a href="pyFTS.models.nonstationary.html#pyFTS.models.nonstationary.common.FuzzySet.location_params">location_params (pyFTS.models.nonstationary.common.FuzzySet attribute)</a>
|
|
</li>
|
|
<li><a href="pyFTS.partitioners.html#pyFTS.partitioners.partitioner.Partitioner.lower_set">lower_set() (pyFTS.partitioners.partitioner.Partitioner method)</a>
|
|
</li>
|
|
</ul></td>
|
|
</tr></table>
|
|
|
|
<h2 id="M">M</h2>
|
|
<table style="width: 100%" class="indextable genindextable"><tr>
|
|
<td style="width: 33%; vertical-align: top;"><ul>
|
|
<li><a href="pyFTS.benchmarks.html#pyFTS.benchmarks.arima.ARIMA.ma">ma() (pyFTS.benchmarks.arima.ARIMA method)</a>
|
|
</li>
|
|
<li><a href="pyFTS.benchmarks.html#pyFTS.benchmarks.Measures.mape">mape() (in module pyFTS.benchmarks.Measures)</a>
|
|
</li>
|
|
<li><a href="pyFTS.benchmarks.html#pyFTS.benchmarks.Measures.mape_interval">mape_interval() (in module pyFTS.benchmarks.Measures)</a>
|
|
</li>
|
|
<li><a href="pyFTS.common.html#pyFTS.common.fts.FTS.max_lag">max_lag (pyFTS.common.fts.FTS attribute)</a>
|
|
</li>
|
|
<li><a href="pyFTS.partitioners.html#pyFTS.partitioners.FCM.membership">membership() (in module pyFTS.partitioners.FCM)</a>
|
|
|
|
<ul>
|
|
<li><a href="pyFTS.common.html#pyFTS.common.Composite.FuzzySet.membership">(pyFTS.common.Composite.FuzzySet method)</a>
|
|
</li>
|
|
<li><a href="pyFTS.common.html#pyFTS.common.FuzzySet.FuzzySet.membership">(pyFTS.common.FuzzySet.FuzzySet method)</a>
|
|
</li>
|
|
<li><a href="pyFTS.models.nonstationary.html#pyFTS.models.nonstationary.common.FuzzySet.membership">(pyFTS.models.nonstationary.common.FuzzySet method)</a>
|
|
</li>
|
|
<li><a href="pyFTS.models.seasonal.html#pyFTS.models.seasonal.common.FuzzySet.membership">(pyFTS.models.seasonal.common.FuzzySet method)</a>
|
|
</li>
|
|
</ul></li>
|
|
<li><a href="pyFTS.partitioners.html#pyFTS.partitioners.partitioner.Partitioner.membership_function">membership_function (pyFTS.partitioners.partitioner.Partitioner attribute)</a>
|
|
</li>
|
|
<li><a href="pyFTS.common.html#pyFTS.common.fts.FTS.merge">merge() (pyFTS.common.fts.FTS method)</a>
|
|
</li>
|
|
</ul></td>
|
|
<td style="width: 33%; vertical-align: top;"><ul>
|
|
<li><a href="pyFTS.common.html#pyFTS.common.FuzzySet.FuzzySet.mf">mf (pyFTS.common.FuzzySet.FuzzySet attribute)</a>
|
|
</li>
|
|
<li><a href="pyFTS.common.html#pyFTS.common.fts.FTS.min_order">min_order (pyFTS.common.fts.FTS attribute)</a>
|
|
</li>
|
|
<li><a href="pyFTS.models.seasonal.html#pyFTS.models.seasonal.common.DateTime.minute_of_day">minute_of_day (pyFTS.models.seasonal.common.DateTime attribute)</a>
|
|
</li>
|
|
<li><a href="pyFTS.models.seasonal.html#pyFTS.models.seasonal.common.DateTime.minute_of_hour">minute_of_hour (pyFTS.models.seasonal.common.DateTime attribute)</a>
|
|
</li>
|
|
<li><a href="pyFTS.models.seasonal.html#pyFTS.models.seasonal.common.DateTime.minute_of_month">minute_of_month (pyFTS.models.seasonal.common.DateTime attribute)</a>
|
|
</li>
|
|
<li><a href="pyFTS.models.seasonal.html#pyFTS.models.seasonal.common.DateTime.minute_of_week">minute_of_week (pyFTS.models.seasonal.common.DateTime attribute)</a>
|
|
</li>
|
|
<li><a href="pyFTS.models.seasonal.html#pyFTS.models.seasonal.common.DateTime.minute_of_year">minute_of_year (pyFTS.models.seasonal.common.DateTime attribute)</a>
|
|
</li>
|
|
<li><a href="pyFTS.models.ensemble.html#pyFTS.models.ensemble.ensemble.EnsembleFTS.models">models (pyFTS.models.ensemble.ensemble.EnsembleFTS attribute)</a>
|
|
</li>
|
|
<li><a href="pyFTS.models.seasonal.html#pyFTS.models.seasonal.common.DateTime.month">month (pyFTS.models.seasonal.common.DateTime attribute)</a>
|
|
</li>
|
|
<li><a href="pyFTS.models.seasonal.html#pyFTS.models.seasonal.msfts.MultiSeasonalFTS">MultiSeasonalFTS (class in pyFTS.models.seasonal.msfts)</a>
|
|
</li>
|
|
<li><a href="pyFTS.models.multivariate.html#pyFTS.models.multivariate.mvfts.MVFTS">MVFTS (class in pyFTS.models.multivariate.mvfts)</a>
|
|
</li>
|
|
</ul></td>
|
|
</tr></table>
|
|
|
|
<h2 id="N">N</h2>
|
|
<table style="width: 100%" class="indextable genindextable"><tr>
|
|
<td style="width: 33%; vertical-align: top;"><ul>
|
|
<li><a href="pyFTS.benchmarks.html#pyFTS.benchmarks.naive.Naive">Naive (class in pyFTS.benchmarks.naive)</a>
|
|
</li>
|
|
<li><a href="pyFTS.common.html#pyFTS.common.fts.FTS.name">name (pyFTS.common.fts.FTS attribute)</a>
|
|
|
|
<ul>
|
|
<li><a href="pyFTS.common.html#pyFTS.common.FuzzySet.FuzzySet.name">(pyFTS.common.FuzzySet.FuzzySet attribute)</a>
|
|
</li>
|
|
<li><a href="pyFTS.models.multivariate.html#pyFTS.models.multivariate.variable.Variable.name">(pyFTS.models.multivariate.variable.Variable attribute)</a>
|
|
</li>
|
|
<li><a href="pyFTS.partitioners.html#pyFTS.partitioners.partitioner.Partitioner.name">(pyFTS.partitioners.partitioner.Partitioner attribute)</a>
|
|
</li>
|
|
</ul></li>
|
|
</ul></td>
|
|
<td style="width: 33%; vertical-align: top;"><ul>
|
|
<li><a href="pyFTS.models.nonstationary.html#pyFTS.models.nonstationary.common.FuzzySet.noise">noise (pyFTS.models.nonstationary.common.FuzzySet attribute)</a>
|
|
</li>
|
|
<li><a href="pyFTS.models.nonstationary.html#pyFTS.models.nonstationary.common.FuzzySet.noise_params">noise_params (pyFTS.models.nonstationary.common.FuzzySet attribute)</a>
|
|
</li>
|
|
<li><a href="pyFTS.models.nonstationary.html#pyFTS.models.nonstationary.flrg.NonStationaryFLRG">NonStationaryFLRG (class in pyFTS.models.nonstationary.flrg)</a>
|
|
</li>
|
|
<li><a href="pyFTS.models.nonstationary.html#pyFTS.models.nonstationary.nsfts.NonStationaryFTS">NonStationaryFTS (class in pyFTS.models.nonstationary.nsfts)</a>
|
|
</li>
|
|
</ul></td>
|
|
</tr></table>
|
|
|
|
<h2 id="O">O</h2>
|
|
<table style="width: 100%" class="indextable genindextable"><tr>
|
|
<td style="width: 33%; vertical-align: top;"><ul>
|
|
<li><a href="pyFTS.benchmarks.html#pyFTS.benchmarks.Util.open_benchmark_db">open_benchmark_db() (in module pyFTS.benchmarks.Util)</a>
|
|
</li>
|
|
<li><a href="pyFTS.models.html#pyFTS.models.song.ConventionalFTS.operation_matrix">operation_matrix() (pyFTS.models.song.ConventionalFTS method)</a>
|
|
</li>
|
|
<li><a href="pyFTS.common.html#pyFTS.common.flrg.FLRG.order">order (pyFTS.common.flrg.FLRG attribute)</a>
|
|
|
|
<ul>
|
|
<li><a href="pyFTS.common.html#pyFTS.common.fts.FTS.order">(pyFTS.common.fts.FTS attribute)</a>
|
|
</li>
|
|
</ul></li>
|
|
</ul></td>
|
|
<td style="width: 33%; vertical-align: top;"><ul>
|
|
<li><a href="pyFTS.common.html#pyFTS.common.fts.FTS.original_max">original_max (pyFTS.common.fts.FTS attribute)</a>
|
|
</li>
|
|
<li><a href="pyFTS.common.html#pyFTS.common.fts.FTS.original_min">original_min (pyFTS.common.fts.FTS attribute)</a>
|
|
</li>
|
|
</ul></td>
|
|
</tr></table>
|
|
|
|
<h2 id="P">P</h2>
|
|
<table style="width: 100%" class="indextable genindextable"><tr>
|
|
<td style="width: 33%; vertical-align: top;"><ul>
|
|
<li><a href="pyFTS.common.html#pyFTS.common.FuzzySet.FuzzySet.parameters">parameters (pyFTS.common.FuzzySet.FuzzySet attribute)</a>
|
|
|
|
<ul>
|
|
<li><a href="pyFTS.common.html#pyFTS.common.Transformations.AdaptiveExpectation.parameters">(pyFTS.common.Transformations.AdaptiveExpectation attribute)</a>
|
|
</li>
|
|
<li><a href="pyFTS.common.html#pyFTS.common.Transformations.BoxCox.parameters">(pyFTS.common.Transformations.BoxCox attribute)</a>
|
|
</li>
|
|
<li><a href="pyFTS.common.html#pyFTS.common.Transformations.Differential.parameters">(pyFTS.common.Transformations.Differential attribute)</a>
|
|
</li>
|
|
<li><a href="pyFTS.common.html#pyFTS.common.Transformations.Scale.parameters">(pyFTS.common.Transformations.Scale attribute)</a>
|
|
</li>
|
|
<li><a href="pyFTS.models.ensemble.html#pyFTS.models.ensemble.ensemble.EnsembleFTS.parameters">(pyFTS.models.ensemble.ensemble.EnsembleFTS attribute)</a>
|
|
</li>
|
|
</ul></li>
|
|
<li><a href="pyFTS.common.html#pyFTS.common.FuzzySet.FuzzySet.partition_function">partition_function() (pyFTS.common.FuzzySet.FuzzySet method)</a>
|
|
|
|
<ul>
|
|
<li><a href="pyFTS.models.html#pyFTS.models.pwfts.ProbabilisticWeightedFLRG.partition_function">(pyFTS.models.pwfts.ProbabilisticWeightedFLRG method)</a>
|
|
</li>
|
|
</ul></li>
|
|
<li><a href="pyFTS.partitioners.html#pyFTS.partitioners.partitioner.Partitioner">Partitioner (class in pyFTS.partitioners.partitioner)</a>
|
|
</li>
|
|
<li><a href="pyFTS.common.html#pyFTS.common.fts.FTS.partitioner">partitioner (pyFTS.common.fts.FTS attribute)</a>
|
|
</li>
|
|
<li><a href="pyFTS.partitioners.html#pyFTS.partitioners.partitioner.Partitioner.partitions">partitions (pyFTS.partitioners.partitioner.Partitioner attribute)</a>
|
|
</li>
|
|
<li><a href="pyFTS.common.html#pyFTS.common.tree.FLRGTreeNode.paths">paths() (pyFTS.common.tree.FLRGTreeNode method)</a>
|
|
</li>
|
|
<li><a href="pyFTS.models.nonstationary.html#pyFTS.models.nonstationary.common.FuzzySet.perform_location">perform_location() (pyFTS.models.nonstationary.common.FuzzySet method)</a>
|
|
</li>
|
|
<li><a href="pyFTS.models.nonstationary.html#pyFTS.models.nonstationary.common.FuzzySet.perform_width">perform_width() (pyFTS.models.nonstationary.common.FuzzySet method)</a>
|
|
</li>
|
|
<li><a href="pyFTS.models.nonstationary.html#pyFTS.models.nonstationary.perturbation.periodic">periodic() (in module pyFTS.models.nonstationary.perturbation)</a>
|
|
</li>
|
|
<li><a href="pyFTS.common.html#pyFTS.common.Util.persist_env">persist_env() (in module pyFTS.common.Util)</a>
|
|
</li>
|
|
<li><a href="pyFTS.common.html#pyFTS.common.Util.persist_obj">persist_obj() (in module pyFTS.common.Util)</a>
|
|
</li>
|
|
<li><a href="pyFTS.models.nonstationary.html#pyFTS.models.nonstationary.common.FuzzySet.perturbate_parameters">perturbate_parameters() (pyFTS.models.nonstationary.common.FuzzySet method)</a>
|
|
</li>
|
|
<li><a href="pyFTS.models.nonstationary.html#pyFTS.models.nonstationary.cvfts.ConditionalVarianceFTS.perturbation_factors">perturbation_factors() (pyFTS.models.nonstationary.cvfts.ConditionalVarianceFTS method)</a>
|
|
</li>
|
|
<li><a href="pyFTS.models.nonstationary.html#pyFTS.models.nonstationary.cvfts.ConditionalVarianceFTS.perturbation_factors__old">perturbation_factors__old() (pyFTS.models.nonstationary.cvfts.ConditionalVarianceFTS method)</a>
|
|
</li>
|
|
<li><a href="pyFTS.benchmarks.html#pyFTS.benchmarks.benchmarks.pftsExploreOrderAndPartitions">pftsExploreOrderAndPartitions() (in module pyFTS.benchmarks.benchmarks)</a>
|
|
</li>
|
|
<li><a href="pyFTS.benchmarks.html#pyFTS.benchmarks.Measures.pinball">pinball() (in module pyFTS.benchmarks.Measures)</a>
|
|
</li>
|
|
<li><a href="pyFTS.benchmarks.html#pyFTS.benchmarks.Measures.pinball_mean">pinball_mean() (in module pyFTS.benchmarks.Measures)</a>
|
|
</li>
|
|
<li><a href="pyFTS.models.seasonal.html#pyFTS.models.seasonal.partitioner.TimeGridPartitioner.plot">plot() (pyFTS.models.seasonal.partitioner.TimeGridPartitioner method)</a>
|
|
|
|
<ul>
|
|
<li><a href="pyFTS.partitioners.html#pyFTS.partitioners.partitioner.Partitioner.plot">(pyFTS.partitioners.partitioner.Partitioner method)</a>
|
|
</li>
|
|
<li><a href="pyFTS.probabilistic.html#pyFTS.probabilistic.ProbabilityDistribution.ProbabilityDistribution.plot">(pyFTS.probabilistic.ProbabilityDistribution.ProbabilityDistribution method)</a>
|
|
</li>
|
|
</ul></li>
|
|
<li><a href="pyFTS.benchmarks.html#pyFTS.benchmarks.benchmarks.plot_compared_intervals_ahead">plot_compared_intervals_ahead() (in module pyFTS.benchmarks.benchmarks)</a>
|
|
</li>
|
|
<li><a href="pyFTS.benchmarks.html#pyFTS.benchmarks.benchmarks.plot_compared_series">plot_compared_series() (in module pyFTS.benchmarks.benchmarks)</a>
|
|
</li>
|
|
<li><a href="pyFTS.benchmarks.html#pyFTS.benchmarks.Util.plot_dataframe_interval">plot_dataframe_interval() (in module pyFTS.benchmarks.Util)</a>
|
|
</li>
|
|
<li><a href="pyFTS.benchmarks.html#pyFTS.benchmarks.Util.plot_dataframe_interval_pinball">plot_dataframe_interval_pinball() (in module pyFTS.benchmarks.Util)</a>
|
|
</li>
|
|
<li><a href="pyFTS.benchmarks.html#pyFTS.benchmarks.Util.plot_dataframe_point">plot_dataframe_point() (in module pyFTS.benchmarks.Util)</a>
|
|
</li>
|
|
<li><a href="pyFTS.benchmarks.html#pyFTS.benchmarks.Util.plot_dataframe_probabilistic">plot_dataframe_probabilistic() (in module pyFTS.benchmarks.Util)</a>
|
|
</li>
|
|
<li><a href="pyFTS.benchmarks.html#pyFTS.benchmarks.benchmarks.plot_density_rectange">plot_density_rectange() (in module pyFTS.benchmarks.benchmarks)</a>
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</li>
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<li><a href="pyFTS.benchmarks.html#pyFTS.benchmarks.benchmarks.plot_distribution">plot_distribution() (in module pyFTS.benchmarks.benchmarks)</a>
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</li>
|
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<li><a href="pyFTS.benchmarks.html#pyFTS.benchmarks.benchmarks.plot_interval">plot_interval() (in module pyFTS.benchmarks.benchmarks)</a>
|
|
</li>
|
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<li><a href="pyFTS.partitioners.html#pyFTS.partitioners.Util.plot_partitioners">plot_partitioners() (in module pyFTS.partitioners.Util)</a>
|
|
</li>
|
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<li><a href="pyFTS.benchmarks.html#pyFTS.benchmarks.benchmarks.plot_point">plot_point() (in module pyFTS.benchmarks.benchmarks)</a>
|
|
</li>
|
|
<li><a href="pyFTS.benchmarks.html#pyFTS.benchmarks.benchmarks.plot_probability_distributions">plot_probability_distributions() (in module pyFTS.benchmarks.benchmarks)</a>
|
|
</li>
|
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<li><a href="pyFTS.benchmarks.html#pyFTS.benchmarks.ResidualAnalysis.plot_residuals">plot_residuals() (in module pyFTS.benchmarks.ResidualAnalysis)</a>
|
|
</li>
|
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<li><a href="pyFTS.common.html#pyFTS.common.Util.plot_rules">plot_rules() (in module pyFTS.common.Util)</a>
|
|
</li>
|
|
<li><a href="pyFTS.partitioners.html#pyFTS.partitioners.partitioner.Partitioner.plot_set">plot_set() (pyFTS.partitioners.partitioner.Partitioner method)</a>
|
|
</li>
|
|
<li><a href="pyFTS.models.nonstationary.html#pyFTS.models.nonstationary.util.plot_sets">plot_sets() (in module pyFTS.models.nonstationary.util)</a>
|
|
|
|
<ul>
|
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<li><a href="pyFTS.partitioners.html#pyFTS.partitioners.Util.plot_sets">(in module pyFTS.partitioners.Util)</a>
|
|
</li>
|
|
</ul></li>
|
|
<li><a href="pyFTS.models.nonstationary.html#pyFTS.models.nonstationary.util.plot_sets_conditional">plot_sets_conditional() (in module pyFTS.models.nonstationary.util)</a>
|
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</li>
|
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<li><a href="pyFTS.benchmarks.html#pyFTS.benchmarks.benchmarks.plotCompared">plotCompared() (in module pyFTS.benchmarks.benchmarks)</a>
|
|
</li>
|
|
<li><a href="pyFTS.benchmarks.html#pyFTS.benchmarks.ResidualAnalysis.plotResiduals">plotResiduals() (in module pyFTS.benchmarks.ResidualAnalysis)</a>
|
|
</li>
|
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<li><a href="pyFTS.partitioners.html#pyFTS.partitioners.Entropy.PMF">PMF() (in module pyFTS.partitioners.Entropy)</a>
|
|
</li>
|
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<li><a href="pyFTS.benchmarks.html#pyFTS.benchmarks.Measures.pmf_to_cdf">pmf_to_cdf() (in module pyFTS.benchmarks.Measures)</a>
|
|
</li>
|
|
<li><a href="pyFTS.benchmarks.html#pyFTS.benchmarks.Util.point_dataframe_analytic_columns">point_dataframe_analytic_columns() (in module pyFTS.benchmarks.Util)</a>
|
|
</li>
|
|
<li><a href="pyFTS.benchmarks.html#pyFTS.benchmarks.Util.point_dataframe_synthetic_columns">point_dataframe_synthetic_columns() (in module pyFTS.benchmarks.Util)</a>
|
|
</li>
|
|
<li><a href="pyFTS.models.html#pyFTS.models.pwfts.ProbabilisticWeightedFTS.point_expected_value">point_expected_value() (pyFTS.models.pwfts.ProbabilisticWeightedFTS method)</a>
|
|
</li>
|
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<li><a href="pyFTS.models.html#pyFTS.models.pwfts.ProbabilisticWeightedFTS.point_heuristic">point_heuristic() (pyFTS.models.pwfts.ProbabilisticWeightedFTS method)</a>
|
|
</li>
|
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<li><a href="pyFTS.benchmarks.html#pyFTS.benchmarks.quantreg.QuantileRegression.point_to_interval">point_to_interval() (pyFTS.benchmarks.quantreg.QuantileRegression method)</a>
|
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</li>
|
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<li><a href="pyFTS.models.nonstationary.html#pyFTS.models.nonstationary.partitioners.PolynomialNonStationaryPartitioner.poly_width">poly_width() (pyFTS.models.nonstationary.partitioners.PolynomialNonStationaryPartitioner method)</a>
|
|
</li>
|
|
<li><a href="pyFTS.models.nonstationary.html#pyFTS.models.nonstationary.perturbation.polynomial">polynomial() (in module pyFTS.models.nonstationary.perturbation)</a>
|
|
</li>
|
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<li><a href="pyFTS.models.nonstationary.html#pyFTS.models.nonstationary.partitioners.PolynomialNonStationaryPartitioner">PolynomialNonStationaryPartitioner (class in pyFTS.models.nonstationary.partitioners)</a>
|
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</li>
|
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<li><a href="pyFTS.common.html#pyFTS.common.fts.FTS.predict">predict() (pyFTS.common.fts.FTS method)</a>
|
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</li>
|
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<li><a href="pyFTS.partitioners.html#pyFTS.partitioners.partitioner.Partitioner.prefix">prefix (pyFTS.partitioners.partitioner.Partitioner attribute)</a>
|
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</li>
|
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<li><a href="pyFTS.benchmarks.html#pyFTS.benchmarks.benchmarks.print_distribution_statistics">print_distribution_statistics() (in module pyFTS.benchmarks.benchmarks)</a>
|
|
</li>
|
|
<li><a href="pyFTS.benchmarks.html#pyFTS.benchmarks.benchmarks.print_interval_statistics">print_interval_statistics() (in module pyFTS.benchmarks.benchmarks)</a>
|
|
</li>
|
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<li><a href="pyFTS.benchmarks.html#pyFTS.benchmarks.benchmarks.print_point_statistics">print_point_statistics() (in module pyFTS.benchmarks.benchmarks)</a>
|
|
</li>
|
|
<li><a href="pyFTS.benchmarks.html#pyFTS.benchmarks.Util.probabilistic_dataframe_analytic_columns">probabilistic_dataframe_analytic_columns() (in module pyFTS.benchmarks.Util)</a>
|
|
</li>
|
|
<li><a href="pyFTS.benchmarks.html#pyFTS.benchmarks.Util.probabilistic_dataframe_synthetic_columns">probabilistic_dataframe_synthetic_columns() (in module pyFTS.benchmarks.Util)</a>
|
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</li>
|
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<li><a href="pyFTS.models.html#pyFTS.models.pwfts.ProbabilisticWeightedFLRG">ProbabilisticWeightedFLRG (class in pyFTS.models.pwfts)</a>
|
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</li>
|
|
<li><a href="pyFTS.models.html#pyFTS.models.pwfts.ProbabilisticWeightedFTS">ProbabilisticWeightedFTS (class in pyFTS.models.pwfts)</a>
|
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</li>
|
|
<li><a href="pyFTS.probabilistic.html#pyFTS.probabilistic.kde.KernelSmoothing.probability">probability() (pyFTS.probabilistic.kde.KernelSmoothing method)</a>
|
|
</li>
|
|
<li><a href="pyFTS.probabilistic.html#pyFTS.probabilistic.ProbabilityDistribution.ProbabilityDistribution">ProbabilityDistribution (class in pyFTS.probabilistic.ProbabilityDistribution)</a>
|
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</li>
|
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<li><a href="pyFTS.benchmarks.html#pyFTS.benchmarks.Util.process_common_data">process_common_data() (in module pyFTS.benchmarks.Util)</a>
|
|
</li>
|
|
<li><a href="pyFTS.benchmarks.html#pyFTS.benchmarks.benchmarks.process_interval_jobs">process_interval_jobs() (in module pyFTS.benchmarks.benchmarks)</a>
|
|
</li>
|
|
<li><a href="pyFTS.benchmarks.html#pyFTS.benchmarks.benchmarks.process_point_jobs">process_point_jobs() (in module pyFTS.benchmarks.benchmarks)</a>
|
|
</li>
|
|
<li><a href="pyFTS.benchmarks.html#pyFTS.benchmarks.benchmarks.process_probabilistic_jobs">process_probabilistic_jobs() (in module pyFTS.benchmarks.benchmarks)</a>
|
|
</li>
|
|
<li><a href="pyFTS.probabilistic.html#pyFTS.probabilistic.ProbabilityDistribution.ProbabilityDistribution.pseudologlikelihood">pseudologlikelihood() (pyFTS.probabilistic.ProbabilityDistribution.ProbabilityDistribution method)</a>
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</li>
|
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<li><a href="pyFTS.html#module-pyFTS">pyFTS (module)</a>
|
|
</li>
|
|
<li><a href="pyFTS.benchmarks.html#module-pyFTS.benchmarks">pyFTS.benchmarks (module)</a>
|
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</li>
|
|
<li><a href="pyFTS.benchmarks.html#module-pyFTS.benchmarks.arima">pyFTS.benchmarks.arima (module)</a>
|
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</li>
|
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<li><a href="pyFTS.benchmarks.html#module-pyFTS.benchmarks.benchmarks">pyFTS.benchmarks.benchmarks (module)</a>
|
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</li>
|
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<li><a href="pyFTS.benchmarks.html#module-pyFTS.benchmarks.knn">pyFTS.benchmarks.knn (module)</a>
|
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</li>
|
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<li><a href="pyFTS.benchmarks.html#module-pyFTS.benchmarks.Measures">pyFTS.benchmarks.Measures (module)</a>
|
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</li>
|
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<li><a href="pyFTS.benchmarks.html#module-pyFTS.benchmarks.naive">pyFTS.benchmarks.naive (module)</a>
|
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</li>
|
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<li><a href="pyFTS.benchmarks.html#module-pyFTS.benchmarks.quantreg">pyFTS.benchmarks.quantreg (module)</a>
|
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</li>
|
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<li><a href="pyFTS.benchmarks.html#module-pyFTS.benchmarks.ResidualAnalysis">pyFTS.benchmarks.ResidualAnalysis (module)</a>
|
|
</li>
|
|
<li><a href="pyFTS.benchmarks.html#module-pyFTS.benchmarks.Util">pyFTS.benchmarks.Util (module)</a>
|
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</li>
|
|
</ul></td>
|
|
<td style="width: 33%; vertical-align: top;"><ul>
|
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<li><a href="pyFTS.common.html#module-pyFTS.common">pyFTS.common (module)</a>
|
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</li>
|
|
<li><a href="pyFTS.common.html#module-pyFTS.common.Composite">pyFTS.common.Composite (module)</a>
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</li>
|
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<li><a href="pyFTS.common.html#module-pyFTS.common.FLR">pyFTS.common.FLR (module)</a>
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</li>
|
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<li><a href="pyFTS.common.html#module-pyFTS.common.flrg">pyFTS.common.flrg (module)</a>
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</li>
|
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<li><a href="pyFTS.common.html#module-pyFTS.common.fts">pyFTS.common.fts (module)</a>
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</li>
|
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<li><a href="pyFTS.common.html#module-pyFTS.common.FuzzySet">pyFTS.common.FuzzySet (module)</a>
|
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</li>
|
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<li><a href="pyFTS.common.html#module-pyFTS.common.Membership">pyFTS.common.Membership (module)</a>
|
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</li>
|
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<li><a href="pyFTS.common.html#module-pyFTS.common.SortedCollection">pyFTS.common.SortedCollection (module)</a>
|
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</li>
|
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<li><a href="pyFTS.common.html#module-pyFTS.common.Transformations">pyFTS.common.Transformations (module)</a>
|
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</li>
|
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<li><a href="pyFTS.common.html#module-pyFTS.common.tree">pyFTS.common.tree (module)</a>
|
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</li>
|
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<li><a href="pyFTS.common.html#module-pyFTS.common.Util">pyFTS.common.Util (module)</a>
|
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</li>
|
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<li><a href="pyFTS.html#module-pyFTS.conf">pyFTS.conf (module)</a>
|
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</li>
|
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<li><a href="pyFTS.data.html#module-pyFTS.data">pyFTS.data (module)</a>
|
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</li>
|
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<li><a href="pyFTS.data.html#module-pyFTS.data.AirPassengers">pyFTS.data.AirPassengers (module)</a>
|
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</li>
|
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<li><a href="pyFTS.data.html#module-pyFTS.data.artificial">pyFTS.data.artificial (module)</a>
|
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</li>
|
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<li><a href="pyFTS.data.html#module-pyFTS.data.Bitcoin">pyFTS.data.Bitcoin (module)</a>
|
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</li>
|
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<li><a href="pyFTS.data.html#module-pyFTS.data.common">pyFTS.data.common (module)</a>
|
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</li>
|
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<li><a href="pyFTS.data.html#module-pyFTS.data.DowJones">pyFTS.data.DowJones (module)</a>
|
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</li>
|
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<li><a href="pyFTS.data.html#module-pyFTS.data.Enrollments">pyFTS.data.Enrollments (module)</a>
|
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</li>
|
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<li><a href="pyFTS.data.html#module-pyFTS.data.Ethereum">pyFTS.data.Ethereum (module)</a>
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</li>
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<li><a href="pyFTS.data.html#module-pyFTS.data.EURGBP">pyFTS.data.EURGBP (module)</a>
|
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</li>
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<li><a href="pyFTS.data.html#module-pyFTS.data.EURUSD">pyFTS.data.EURUSD (module)</a>
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</li>
|
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<li><a href="pyFTS.data.html#module-pyFTS.data.GBPUSD">pyFTS.data.GBPUSD (module)</a>
|
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</li>
|
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<li><a href="pyFTS.data.html#module-pyFTS.data.henon">pyFTS.data.henon (module)</a>
|
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</li>
|
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<li><a href="pyFTS.data.html#module-pyFTS.data.INMET">pyFTS.data.INMET (module)</a>
|
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</li>
|
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<li><a href="pyFTS.data.html#module-pyFTS.data.logistic_map">pyFTS.data.logistic_map (module)</a>
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</li>
|
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<li><a href="pyFTS.data.html#module-pyFTS.data.lorentz">pyFTS.data.lorentz (module)</a>
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</li>
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<li><a href="pyFTS.data.html#module-pyFTS.data.mackey_glass">pyFTS.data.mackey_glass (module)</a>
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</li>
|
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<li><a href="pyFTS.data.html#module-pyFTS.data.NASDAQ">pyFTS.data.NASDAQ (module)</a>
|
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</li>
|
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<li><a href="pyFTS.data.html#module-pyFTS.data.rossler">pyFTS.data.rossler (module)</a>
|
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</li>
|
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<li><a href="pyFTS.data.html#module-pyFTS.data.SONDA">pyFTS.data.SONDA (module)</a>
|
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</li>
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<li><a href="pyFTS.data.html#module-pyFTS.data.SP500">pyFTS.data.SP500 (module)</a>
|
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</li>
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<li><a href="pyFTS.data.html#module-pyFTS.data.sunspots">pyFTS.data.sunspots (module)</a>
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</li>
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<li><a href="pyFTS.data.html#module-pyFTS.data.TAIEX">pyFTS.data.TAIEX (module)</a>
|
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</li>
|
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<li><a href="pyFTS.models.html#module-pyFTS.models">pyFTS.models (module)</a>
|
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</li>
|
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<li><a href="pyFTS.models.html#module-pyFTS.models.chen">pyFTS.models.chen (module)</a>
|
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</li>
|
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<li><a href="pyFTS.models.html#module-pyFTS.models.cheng">pyFTS.models.cheng (module)</a>
|
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</li>
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<li><a href="pyFTS.models.ensemble.html#module-pyFTS.models.ensemble">pyFTS.models.ensemble (module)</a>
|
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</li>
|
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<li><a href="pyFTS.models.ensemble.html#module-pyFTS.models.ensemble.ensemble">pyFTS.models.ensemble.ensemble (module)</a>
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</li>
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<li><a href="pyFTS.models.ensemble.html#module-pyFTS.models.ensemble.multiseasonal">pyFTS.models.ensemble.multiseasonal (module)</a>
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</li>
|
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<li><a href="pyFTS.models.html#module-pyFTS.models.hofts">pyFTS.models.hofts (module)</a>
|
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</li>
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<li><a href="pyFTS.models.html#module-pyFTS.models.hwang">pyFTS.models.hwang (module)</a>
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</li>
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<li><a href="pyFTS.models.html#module-pyFTS.models.ifts">pyFTS.models.ifts (module)</a>
|
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</li>
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<li><a href="pyFTS.models.html#module-pyFTS.models.ismailefendi">pyFTS.models.ismailefendi (module)</a>
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</li>
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<li><a href="pyFTS.models.multivariate.html#module-pyFTS.models.multivariate">pyFTS.models.multivariate (module)</a>
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</li>
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<li><a href="pyFTS.models.multivariate.html#module-pyFTS.models.multivariate.common">pyFTS.models.multivariate.common (module)</a>
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</li>
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<li><a href="pyFTS.models.multivariate.html#module-pyFTS.models.multivariate.FLR">pyFTS.models.multivariate.FLR (module)</a>
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</li>
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<li><a href="pyFTS.models.multivariate.html#module-pyFTS.models.multivariate.flrg">pyFTS.models.multivariate.flrg (module)</a>
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</li>
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<li><a href="pyFTS.models.multivariate.html#module-pyFTS.models.multivariate.mvfts">pyFTS.models.multivariate.mvfts (module)</a>
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</li>
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<li><a href="pyFTS.models.multivariate.html#module-pyFTS.models.multivariate.variable">pyFTS.models.multivariate.variable (module)</a>
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</li>
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<li><a href="pyFTS.models.nonstationary.html#module-pyFTS.models.nonstationary">pyFTS.models.nonstationary (module)</a>
|
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</li>
|
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<li><a href="pyFTS.models.nonstationary.html#module-pyFTS.models.nonstationary.common">pyFTS.models.nonstationary.common (module)</a>
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</li>
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<li><a href="pyFTS.models.nonstationary.html#module-pyFTS.models.nonstationary.cvfts">pyFTS.models.nonstationary.cvfts (module)</a>
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</li>
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<li><a href="pyFTS.models.nonstationary.html#module-pyFTS.models.nonstationary.flrg">pyFTS.models.nonstationary.flrg (module)</a>
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</li>
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<li><a href="pyFTS.models.nonstationary.html#module-pyFTS.models.nonstationary.honsfts">pyFTS.models.nonstationary.honsfts (module)</a>
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</li>
|
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<li><a href="pyFTS.models.nonstationary.html#module-pyFTS.models.nonstationary.nsfts">pyFTS.models.nonstationary.nsfts (module)</a>
|
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</li>
|
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<li><a href="pyFTS.models.nonstationary.html#module-pyFTS.models.nonstationary.partitioners">pyFTS.models.nonstationary.partitioners (module)</a>
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</li>
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<li><a href="pyFTS.models.nonstationary.html#module-pyFTS.models.nonstationary.perturbation">pyFTS.models.nonstationary.perturbation (module)</a>
|
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</li>
|
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<li><a href="pyFTS.models.nonstationary.html#module-pyFTS.models.nonstationary.util">pyFTS.models.nonstationary.util (module)</a>
|
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</li>
|
|
<li><a href="pyFTS.models.html#module-pyFTS.models.pwfts">pyFTS.models.pwfts (module)</a>
|
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</li>
|
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<li><a href="pyFTS.models.html#module-pyFTS.models.sadaei">pyFTS.models.sadaei (module)</a>
|
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</li>
|
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<li><a href="pyFTS.models.seasonal.html#module-pyFTS.models.seasonal">pyFTS.models.seasonal (module)</a>
|
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</li>
|
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<li><a href="pyFTS.models.seasonal.html#module-pyFTS.models.seasonal.cmsfts">pyFTS.models.seasonal.cmsfts (module)</a>
|
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</li>
|
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<li><a href="pyFTS.models.seasonal.html#module-pyFTS.models.seasonal.common">pyFTS.models.seasonal.common (module)</a>
|
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</li>
|
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<li><a href="pyFTS.models.seasonal.html#module-pyFTS.models.seasonal.msfts">pyFTS.models.seasonal.msfts (module)</a>
|
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</li>
|
|
<li><a href="pyFTS.models.seasonal.html#module-pyFTS.models.seasonal.partitioner">pyFTS.models.seasonal.partitioner (module)</a>
|
|
</li>
|
|
<li><a href="pyFTS.models.seasonal.html#module-pyFTS.models.seasonal.SeasonalIndexer">pyFTS.models.seasonal.SeasonalIndexer (module)</a>
|
|
</li>
|
|
<li><a href="pyFTS.models.seasonal.html#module-pyFTS.models.seasonal.sfts">pyFTS.models.seasonal.sfts (module)</a>
|
|
</li>
|
|
<li><a href="pyFTS.models.html#module-pyFTS.models.song">pyFTS.models.song (module)</a>
|
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</li>
|
|
<li><a href="pyFTS.models.html#module-pyFTS.models.yu">pyFTS.models.yu (module)</a>
|
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</li>
|
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<li><a href="pyFTS.partitioners.html#module-pyFTS.partitioners">pyFTS.partitioners (module)</a>
|
|
</li>
|
|
<li><a href="pyFTS.partitioners.html#module-pyFTS.partitioners.CMeans">pyFTS.partitioners.CMeans (module)</a>
|
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</li>
|
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<li><a href="pyFTS.partitioners.html#module-pyFTS.partitioners.Entropy">pyFTS.partitioners.Entropy (module)</a>
|
|
</li>
|
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<li><a href="pyFTS.partitioners.html#module-pyFTS.partitioners.FCM">pyFTS.partitioners.FCM (module)</a>
|
|
</li>
|
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<li><a href="pyFTS.partitioners.html#module-pyFTS.partitioners.Grid">pyFTS.partitioners.Grid (module)</a>
|
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</li>
|
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<li><a href="pyFTS.partitioners.html#module-pyFTS.partitioners.Huarng">pyFTS.partitioners.Huarng (module)</a>
|
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</li>
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<li><a href="pyFTS.partitioners.html#module-pyFTS.partitioners.parallel_util">pyFTS.partitioners.parallel_util (module)</a>
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|
</li>
|
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<li><a href="pyFTS.partitioners.html#module-pyFTS.partitioners.partitioner">pyFTS.partitioners.partitioner (module)</a>
|
|
</li>
|
|
<li><a href="pyFTS.partitioners.html#module-pyFTS.partitioners.Util">pyFTS.partitioners.Util (module)</a>
|
|
</li>
|
|
<li><a href="pyFTS.probabilistic.html#module-pyFTS.probabilistic">pyFTS.probabilistic (module)</a>
|
|
</li>
|
|
<li><a href="pyFTS.probabilistic.html#module-pyFTS.probabilistic.kde">pyFTS.probabilistic.kde (module)</a>
|
|
</li>
|
|
<li><a href="pyFTS.probabilistic.html#module-pyFTS.probabilistic.ProbabilityDistribution">pyFTS.probabilistic.ProbabilityDistribution (module)</a>
|
|
</li>
|
|
</ul></td>
|
|
</tr></table>
|
|
|
|
<h2 id="Q">Q</h2>
|
|
<table style="width: 100%" class="indextable genindextable"><tr>
|
|
<td style="width: 33%; vertical-align: top;"><ul>
|
|
<li><a href="pyFTS.probabilistic.html#pyFTS.probabilistic.ProbabilityDistribution.ProbabilityDistribution.quantile">quantile() (pyFTS.probabilistic.ProbabilityDistribution.ProbabilityDistribution method)</a>
|
|
</li>
|
|
</ul></td>
|
|
<td style="width: 33%; vertical-align: top;"><ul>
|
|
<li><a href="pyFTS.benchmarks.html#pyFTS.benchmarks.quantreg.QuantileRegression">QuantileRegression (class in pyFTS.benchmarks.quantreg)</a>
|
|
</li>
|
|
</ul></td>
|
|
</tr></table>
|
|
|
|
<h2 id="R">R</h2>
|
|
<table style="width: 100%" class="indextable genindextable"><tr>
|
|
<td style="width: 33%; vertical-align: top;"><ul>
|
|
<li><a href="pyFTS.data.html#pyFTS.data.artificial.random_walk">random_walk() (in module pyFTS.data.artificial)</a>
|
|
</li>
|
|
<li><a href="pyFTS.common.html#pyFTS.common.SortedCollection.SortedCollection.remove">remove() (pyFTS.common.SortedCollection.SortedCollection method)</a>
|
|
</li>
|
|
<li><a href="pyFTS.benchmarks.html#pyFTS.benchmarks.ResidualAnalysis.residuals">residuals() (in module pyFTS.benchmarks.ResidualAnalysis)</a>
|
|
</li>
|
|
<li><a href="pyFTS.benchmarks.html#pyFTS.benchmarks.Measures.resolution">resolution() (in module pyFTS.benchmarks.Measures)</a>
|
|
</li>
|
|
<li><a href="pyFTS.common.html#pyFTS.common.FLR.FLR.RHS">RHS (pyFTS.common.FLR.FLR attribute)</a>
|
|
|
|
<ul>
|
|
<li><a href="pyFTS.common.html#pyFTS.common.flrg.FLRG.RHS">(pyFTS.common.flrg.FLRG attribute)</a>
|
|
</li>
|
|
</ul></li>
|
|
<li><a href="pyFTS.models.html#pyFTS.models.pwfts.ProbabilisticWeightedFLRG.rhs_conditional_probability">rhs_conditional_probability() (pyFTS.models.pwfts.ProbabilisticWeightedFLRG method)</a>
|
|
</li>
|
|
</ul></td>
|
|
<td style="width: 33%; vertical-align: top;"><ul>
|
|
<li><a href="pyFTS.models.html#pyFTS.models.pwfts.ProbabilisticWeightedFLRG.rhs_unconditional_probability">rhs_unconditional_probability() (pyFTS.models.pwfts.ProbabilisticWeightedFLRG method)</a>
|
|
</li>
|
|
<li><a href="pyFTS.benchmarks.html#pyFTS.benchmarks.Measures.rmse">rmse() (in module pyFTS.benchmarks.Measures)</a>
|
|
</li>
|
|
<li><a href="pyFTS.benchmarks.html#pyFTS.benchmarks.Measures.rmse_interval">rmse_interval() (in module pyFTS.benchmarks.Measures)</a>
|
|
</li>
|
|
<li><a href="pyFTS.common.html#pyFTS.common.Transformations.roi">roi() (in module pyFTS.common.Transformations)</a>
|
|
</li>
|
|
<li><a href="pyFTS.benchmarks.html#pyFTS.benchmarks.benchmarks.run_interval">run_interval() (in module pyFTS.benchmarks.benchmarks)</a>
|
|
</li>
|
|
<li><a href="pyFTS.benchmarks.html#pyFTS.benchmarks.benchmarks.run_point">run_point() (in module pyFTS.benchmarks.benchmarks)</a>
|
|
</li>
|
|
<li><a href="pyFTS.benchmarks.html#pyFTS.benchmarks.benchmarks.run_probabilistic">run_probabilistic() (in module pyFTS.benchmarks.benchmarks)</a>
|
|
</li>
|
|
</ul></td>
|
|
</tr></table>
|
|
|
|
<h2 id="S">S</h2>
|
|
<table style="width: 100%" class="indextable genindextable"><tr>
|
|
<td style="width: 33%; vertical-align: top;"><ul>
|
|
<li><a href="pyFTS.models.ensemble.html#pyFTS.models.ensemble.ensemble.sampler">sampler() (in module pyFTS.models.ensemble.ensemble)</a>
|
|
</li>
|
|
<li><a href="pyFTS.benchmarks.html#pyFTS.benchmarks.Util.save_dataframe_interval">save_dataframe_interval() (in module pyFTS.benchmarks.Util)</a>
|
|
</li>
|
|
<li><a href="pyFTS.benchmarks.html#pyFTS.benchmarks.Util.save_dataframe_point">save_dataframe_point() (in module pyFTS.benchmarks.Util)</a>
|
|
</li>
|
|
<li><a href="pyFTS.benchmarks.html#pyFTS.benchmarks.Util.save_dataframe_probabilistic">save_dataframe_probabilistic() (in module pyFTS.benchmarks.Util)</a>
|
|
</li>
|
|
<li><a href="pyFTS.common.html#pyFTS.common.Transformations.Scale">Scale (class in pyFTS.common.Transformations)</a>
|
|
</li>
|
|
<li><a href="pyFTS.benchmarks.html#pyFTS.benchmarks.Util.scale">scale() (in module pyFTS.benchmarks.Util)</a>
|
|
</li>
|
|
<li><a href="pyFTS.models.nonstationary.html#pyFTS.models.nonstationary.partitioners.PolynomialNonStationaryPartitioner.scale_down">scale_down() (pyFTS.models.nonstationary.partitioners.PolynomialNonStationaryPartitioner method)</a>
|
|
</li>
|
|
<li><a href="pyFTS.benchmarks.html#pyFTS.benchmarks.Util.scale_params">scale_params() (in module pyFTS.benchmarks.Util)</a>
|
|
</li>
|
|
<li><a href="pyFTS.models.nonstationary.html#pyFTS.models.nonstationary.partitioners.PolynomialNonStationaryPartitioner.scale_up">scale_up() (pyFTS.models.nonstationary.partitioners.PolynomialNonStationaryPartitioner method)</a>
|
|
</li>
|
|
<li><a href="pyFTS.models.ensemble.html#pyFTS.models.ensemble.multiseasonal.SeasonalEnsembleFTS">SeasonalEnsembleFTS (class in pyFTS.models.ensemble.multiseasonal)</a>
|
|
</li>
|
|
<li><a href="pyFTS.models.seasonal.html#pyFTS.models.seasonal.sfts.SeasonalFLRG">SeasonalFLRG (class in pyFTS.models.seasonal.sfts)</a>
|
|
</li>
|
|
<li><a href="pyFTS.models.seasonal.html#pyFTS.models.seasonal.sfts.SeasonalFTS">SeasonalFTS (class in pyFTS.models.seasonal.sfts)</a>
|
|
</li>
|
|
<li><a href="pyFTS.models.seasonal.html#pyFTS.models.seasonal.SeasonalIndexer.SeasonalIndexer">SeasonalIndexer (class in pyFTS.models.seasonal.SeasonalIndexer)</a>
|
|
</li>
|
|
<li><a href="pyFTS.models.seasonal.html#pyFTS.models.seasonal.common.DateTime.second">second (pyFTS.models.seasonal.common.DateTime attribute)</a>
|
|
</li>
|
|
<li><a href="pyFTS.models.seasonal.html#pyFTS.models.seasonal.common.DateTime.second_of_day">second_of_day (pyFTS.models.seasonal.common.DateTime attribute)</a>
|
|
</li>
|
|
<li><a href="pyFTS.models.seasonal.html#pyFTS.models.seasonal.common.DateTime.second_of_hour">second_of_hour (pyFTS.models.seasonal.common.DateTime attribute)</a>
|
|
</li>
|
|
<li><a href="pyFTS.models.seasonal.html#pyFTS.models.seasonal.common.DateTime.second_of_minute">second_of_minute (pyFTS.models.seasonal.common.DateTime attribute)</a>
|
|
</li>
|
|
<li><a href="pyFTS.benchmarks.html#pyFTS.benchmarks.benchmarks.SelecaoSimples_MenorRMSE">SelecaoSimples_MenorRMSE() (in module pyFTS.benchmarks.benchmarks)</a>
|
|
</li>
|
|
<li><a href="pyFTS.probabilistic.html#pyFTS.probabilistic.ProbabilityDistribution.ProbabilityDistribution.set">set() (pyFTS.probabilistic.ProbabilityDistribution.ProbabilityDistribution method)</a>
|
|
</li>
|
|
<li><a href="pyFTS.models.seasonal.html#pyFTS.models.seasonal.SeasonalIndexer.DataFrameSeasonalIndexer.set_data">set_data() (pyFTS.models.seasonal.SeasonalIndexer.DataFrameSeasonalIndexer method)</a>
|
|
|
|
<ul>
|
|
<li><a href="pyFTS.models.seasonal.html#pyFTS.models.seasonal.SeasonalIndexer.DateTimeSeasonalIndexer.set_data">(pyFTS.models.seasonal.SeasonalIndexer.DateTimeSeasonalIndexer method)</a>
|
|
</li>
|
|
</ul></li>
|
|
<li><a href="pyFTS.models.multivariate.html#pyFTS.models.multivariate.FLR.FLR.set_lhs">set_lhs() (pyFTS.models.multivariate.FLR.FLR method)</a>
|
|
|
|
<ul>
|
|
<li><a href="pyFTS.models.multivariate.html#pyFTS.models.multivariate.flrg.FLRG.set_lhs">(pyFTS.models.multivariate.flrg.FLRG method)</a>
|
|
</li>
|
|
</ul></li>
|
|
<li><a href="pyFTS.common.html#pyFTS.common.FuzzySet.set_ordered">set_ordered() (in module pyFTS.common.FuzzySet)</a>
|
|
</li>
|
|
<li><a href="pyFTS.models.multivariate.html#pyFTS.models.multivariate.FLR.FLR.set_rhs">set_rhs() (pyFTS.models.multivariate.FLR.FLR method)</a>
|
|
</li>
|
|
</ul></td>
|
|
<td style="width: 33%; vertical-align: top;"><ul>
|
|
<li><a href="pyFTS.models.ensemble.html#pyFTS.models.ensemble.ensemble.AllMethodEnsembleFTS.set_transformations">set_transformations() (pyFTS.models.ensemble.ensemble.AllMethodEnsembleFTS method)</a>
|
|
</li>
|
|
<li><a href="pyFTS.partitioners.html#pyFTS.partitioners.partitioner.Partitioner.setnames">setnames (pyFTS.partitioners.partitioner.Partitioner attribute)</a>
|
|
</li>
|
|
<li><a href="pyFTS.common.html#pyFTS.common.fts.FTS.sets">sets (pyFTS.common.fts.FTS attribute)</a>
|
|
</li>
|
|
<li><a href="pyFTS.benchmarks.html#pyFTS.benchmarks.Measures.sharpness">sharpness() (in module pyFTS.benchmarks.Measures)</a>
|
|
</li>
|
|
<li><a href="pyFTS.common.html#pyFTS.common.fts.FTS.shortname">shortname (pyFTS.common.fts.FTS attribute)</a>
|
|
</li>
|
|
<li><a href="pyFTS.common.html#pyFTS.common.Util.show_and_save_image">show_and_save_image() (in module pyFTS.common.Util)</a>
|
|
</li>
|
|
<li><a href="pyFTS.common.html#pyFTS.common.Membership.sigmf">sigmf() (in module pyFTS.common.Membership)</a>
|
|
</li>
|
|
<li><a href="pyFTS.common.html#pyFTS.common.Util.simple_model_predict">simple_model_predict() (in module pyFTS.common.Util)</a>
|
|
</li>
|
|
<li><a href="pyFTS.common.html#pyFTS.common.Util.simple_model_train">simple_model_train() (in module pyFTS.common.Util)</a>
|
|
</li>
|
|
<li><a href="pyFTS.models.nonstationary.html#pyFTS.models.nonstationary.partitioners.simplenonstationary_gridpartitioner_builder">simplenonstationary_gridpartitioner_builder() (in module pyFTS.models.nonstationary.partitioners)</a>
|
|
</li>
|
|
<li><a href="pyFTS.models.nonstationary.html#pyFTS.models.nonstationary.partitioners.SimpleNonStationaryPartitioner">SimpleNonStationaryPartitioner (class in pyFTS.models.nonstationary.partitioners)</a>
|
|
</li>
|
|
<li><a href="pyFTS.benchmarks.html#pyFTS.benchmarks.benchmarks.simpleSearch_RMSE">simpleSearch_RMSE() (in module pyFTS.benchmarks.benchmarks)</a>
|
|
</li>
|
|
<li><a href="pyFTS.benchmarks.html#pyFTS.benchmarks.ResidualAnalysis.single_plot_residuals">single_plot_residuals() (in module pyFTS.benchmarks.ResidualAnalysis)</a>
|
|
</li>
|
|
<li><a href="pyFTS.common.html#pyFTS.common.Membership.singleton">singleton() (in module pyFTS.common.Membership)</a>
|
|
</li>
|
|
<li><a href="pyFTS.common.html#pyFTS.common.Util.sliding_window">sliding_window() (in module pyFTS.common.Util)</a>
|
|
</li>
|
|
<li><a href="pyFTS.benchmarks.html#pyFTS.benchmarks.benchmarks.sliding_window_benchmarks">sliding_window_benchmarks() (in module pyFTS.benchmarks.benchmarks)</a>
|
|
</li>
|
|
<li><a href="pyFTS.benchmarks.html#pyFTS.benchmarks.Measures.smape">smape() (in module pyFTS.benchmarks.Measures)</a>
|
|
</li>
|
|
<li><a href="pyFTS.common.html#pyFTS.common.Transformations.smoothing">smoothing() (in module pyFTS.common.Transformations)</a>
|
|
</li>
|
|
<li><a href="pyFTS.common.html#pyFTS.common.SortedCollection.SortedCollection">SortedCollection (class in pyFTS.common.SortedCollection)</a>
|
|
</li>
|
|
<li><a href="pyFTS.partitioners.html#pyFTS.partitioners.Entropy.splitAbove">splitAbove() (in module pyFTS.partitioners.Entropy)</a>
|
|
</li>
|
|
<li><a href="pyFTS.partitioners.html#pyFTS.partitioners.Entropy.splitBelow">splitBelow() (in module pyFTS.partitioners.Entropy)</a>
|
|
</li>
|
|
<li><a href="pyFTS.common.html#pyFTS.common.Util.start_dispy_cluster">start_dispy_cluster() (in module pyFTS.common.Util)</a>
|
|
</li>
|
|
<li><a href="pyFTS.benchmarks.html#pyFTS.benchmarks.Util.stats">stats() (in module pyFTS.benchmarks.Util)</a>
|
|
</li>
|
|
<li><a href="pyFTS.common.html#pyFTS.common.Util.stop_dispy_cluster">stop_dispy_cluster() (in module pyFTS.common.Util)</a>
|
|
</li>
|
|
<li><a href="pyFTS.models.seasonal.html#pyFTS.models.seasonal.common.strip_datepart">strip_datepart() (in module pyFTS.models.seasonal.common)</a>
|
|
</li>
|
|
</ul></td>
|
|
</tr></table>
|
|
|
|
<h2 id="T">T</h2>
|
|
<table style="width: 100%" class="indextable genindextable"><tr>
|
|
<td style="width: 33%; vertical-align: top;"><ul>
|
|
<li><a href="pyFTS.benchmarks.html#pyFTS.benchmarks.Util.tabular_dataframe_columns">tabular_dataframe_columns() (in module pyFTS.benchmarks.Util)</a>
|
|
</li>
|
|
<li><a href="pyFTS.benchmarks.html#pyFTS.benchmarks.Measures.TheilsInequality">TheilsInequality() (in module pyFTS.benchmarks.Measures)</a>
|
|
</li>
|
|
<li><a href="pyFTS.models.seasonal.html#pyFTS.models.seasonal.partitioner.TimeGridPartitioner">TimeGridPartitioner (class in pyFTS.models.seasonal.partitioner)</a>
|
|
</li>
|
|
<li><a href="pyFTS.benchmarks.html#pyFTS.benchmarks.arima.ARIMA.train">train() (pyFTS.benchmarks.arima.ARIMA method)</a>
|
|
|
|
<ul>
|
|
<li><a href="pyFTS.benchmarks.html#pyFTS.benchmarks.knn.KNearestNeighbors.train">(pyFTS.benchmarks.knn.KNearestNeighbors method)</a>
|
|
</li>
|
|
<li><a href="pyFTS.benchmarks.html#pyFTS.benchmarks.quantreg.QuantileRegression.train">(pyFTS.benchmarks.quantreg.QuantileRegression method)</a>
|
|
</li>
|
|
<li><a href="pyFTS.common.html#pyFTS.common.fts.FTS.train">(pyFTS.common.fts.FTS method)</a>
|
|
</li>
|
|
<li><a href="pyFTS.models.html#pyFTS.models.chen.ConventionalFTS.train">(pyFTS.models.chen.ConventionalFTS method)</a>
|
|
</li>
|
|
<li><a href="pyFTS.models.ensemble.html#pyFTS.models.ensemble.ensemble.AllMethodEnsembleFTS.train">(pyFTS.models.ensemble.ensemble.AllMethodEnsembleFTS method)</a>
|
|
</li>
|
|
<li><a href="pyFTS.models.ensemble.html#pyFTS.models.ensemble.ensemble.EnsembleFTS.train">(pyFTS.models.ensemble.ensemble.EnsembleFTS method)</a>
|
|
</li>
|
|
<li><a href="pyFTS.models.ensemble.html#pyFTS.models.ensemble.multiseasonal.SeasonalEnsembleFTS.train">(pyFTS.models.ensemble.multiseasonal.SeasonalEnsembleFTS method)</a>
|
|
</li>
|
|
<li><a href="pyFTS.models.html#pyFTS.models.hofts.HighOrderFTS.train">(pyFTS.models.hofts.HighOrderFTS method)</a>
|
|
</li>
|
|
<li><a href="pyFTS.models.html#pyFTS.models.hwang.HighOrderFTS.train">(pyFTS.models.hwang.HighOrderFTS method)</a>
|
|
</li>
|
|
<li><a href="pyFTS.models.html#pyFTS.models.ismailefendi.ImprovedWeightedFTS.train">(pyFTS.models.ismailefendi.ImprovedWeightedFTS method)</a>
|
|
</li>
|
|
<li><a href="pyFTS.models.multivariate.html#pyFTS.models.multivariate.mvfts.MVFTS.train">(pyFTS.models.multivariate.mvfts.MVFTS method)</a>
|
|
</li>
|
|
<li><a href="pyFTS.models.nonstationary.html#pyFTS.models.nonstationary.cvfts.ConditionalVarianceFTS.train">(pyFTS.models.nonstationary.cvfts.ConditionalVarianceFTS method)</a>
|
|
</li>
|
|
<li><a href="pyFTS.models.nonstationary.html#pyFTS.models.nonstationary.honsfts.HighOrderNonStationaryFTS.train">(pyFTS.models.nonstationary.honsfts.HighOrderNonStationaryFTS method)</a>
|
|
</li>
|
|
<li><a href="pyFTS.models.nonstationary.html#pyFTS.models.nonstationary.nsfts.NonStationaryFTS.train">(pyFTS.models.nonstationary.nsfts.NonStationaryFTS method)</a>
|
|
</li>
|
|
<li><a href="pyFTS.models.html#pyFTS.models.pwfts.ProbabilisticWeightedFTS.train">(pyFTS.models.pwfts.ProbabilisticWeightedFTS method)</a>
|
|
</li>
|
|
<li><a href="pyFTS.models.html#pyFTS.models.sadaei.ExponentialyWeightedFTS.train">(pyFTS.models.sadaei.ExponentialyWeightedFTS method)</a>
|
|
</li>
|
|
<li><a href="pyFTS.models.seasonal.html#pyFTS.models.seasonal.cmsfts.ContextualMultiSeasonalFTS.train">(pyFTS.models.seasonal.cmsfts.ContextualMultiSeasonalFTS method)</a>
|
|
</li>
|
|
<li><a href="pyFTS.models.seasonal.html#pyFTS.models.seasonal.msfts.MultiSeasonalFTS.train">(pyFTS.models.seasonal.msfts.MultiSeasonalFTS method)</a>
|
|
</li>
|
|
<li><a href="pyFTS.models.seasonal.html#pyFTS.models.seasonal.sfts.SeasonalFTS.train">(pyFTS.models.seasonal.sfts.SeasonalFTS method)</a>
|
|
</li>
|
|
<li><a href="pyFTS.models.html#pyFTS.models.song.ConventionalFTS.train">(pyFTS.models.song.ConventionalFTS method)</a>
|
|
</li>
|
|
<li><a href="pyFTS.models.html#pyFTS.models.yu.WeightedFTS.train">(pyFTS.models.yu.WeightedFTS method)</a>
|
|
</li>
|
|
</ul></li>
|
|
</ul></td>
|
|
<td style="width: 33%; vertical-align: top;"><ul>
|
|
<li><a href="pyFTS.models.ensemble.html#pyFTS.models.ensemble.multiseasonal.train_individual_model">train_individual_model() (in module pyFTS.models.ensemble.multiseasonal)</a>
|
|
</li>
|
|
<li><a href="pyFTS.common.html#pyFTS.common.Transformations.Transformation">Transformation (class in pyFTS.common.Transformations)</a>
|
|
</li>
|
|
<li><a href="pyFTS.partitioners.html#pyFTS.partitioners.partitioner.Partitioner.transformation">transformation (pyFTS.partitioners.partitioner.Partitioner attribute)</a>
|
|
</li>
|
|
<li><a href="pyFTS.common.html#pyFTS.common.fts.FTS.transformations">transformations (pyFTS.common.fts.FTS attribute)</a>
|
|
</li>
|
|
<li><a href="pyFTS.common.html#pyFTS.common.fts.FTS.transformations_param">transformations_param (pyFTS.common.fts.FTS attribute)</a>
|
|
</li>
|
|
<li><a href="pyFTS.common.html#pyFTS.common.Membership.trapmf">trapmf() (in module pyFTS.common.Membership)</a>
|
|
</li>
|
|
<li><a href="pyFTS.models.html#pyFTS.models.cheng.TrendWeightedFLRG">TrendWeightedFLRG (class in pyFTS.models.cheng)</a>
|
|
</li>
|
|
<li><a href="pyFTS.models.html#pyFTS.models.cheng.TrendWeightedFTS">TrendWeightedFTS (class in pyFTS.models.cheng)</a>
|
|
</li>
|
|
<li><a href="pyFTS.common.html#pyFTS.common.Membership.trimf">trimf() (in module pyFTS.common.Membership)</a>
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</li>
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<li><a href="pyFTS.common.html#pyFTS.common.FuzzySet.FuzzySet.type">type (pyFTS.common.FuzzySet.FuzzySet attribute)</a>
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|
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<ul>
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<li><a href="pyFTS.probabilistic.html#pyFTS.probabilistic.ProbabilityDistribution.ProbabilityDistribution.type">(pyFTS.probabilistic.ProbabilityDistribution.ProbabilityDistribution attribute)</a>
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</li>
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</ul></li>
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</ul></td>
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</tr></table>
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<h2 id="U">U</h2>
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<table style="width: 100%" class="indextable genindextable"><tr>
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<td style="width: 33%; vertical-align: top;"><ul>
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<li><a href="pyFTS.benchmarks.html#pyFTS.benchmarks.Util.unified_scaled_interval">unified_scaled_interval() (in module pyFTS.benchmarks.Util)</a>
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</li>
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<li><a href="pyFTS.benchmarks.html#pyFTS.benchmarks.Util.unified_scaled_interval_pinball">unified_scaled_interval_pinball() (in module pyFTS.benchmarks.Util)</a>
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</li>
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<li><a href="pyFTS.benchmarks.html#pyFTS.benchmarks.Util.unified_scaled_point">unified_scaled_point() (in module pyFTS.benchmarks.Util)</a>
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</li>
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<li><a href="pyFTS.benchmarks.html#pyFTS.benchmarks.Util.unified_scaled_probabilistic">unified_scaled_probabilistic() (in module pyFTS.benchmarks.Util)</a>
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</li>
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<li><a href="pyFTS.common.html#pyFTS.common.Util.uniquefilename">uniquefilename() (in module pyFTS.common.Util)</a>
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</li>
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<li><a href="pyFTS.models.nonstationary.html#pyFTS.models.nonstationary.flrg.NonStationaryFLRG.unpack_args">unpack_args() (pyFTS.models.nonstationary.flrg.NonStationaryFLRG method)</a>
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</li>
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</ul></td>
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<td style="width: 33%; vertical-align: top;"><ul>
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<li><a href="pyFTS.probabilistic.html#pyFTS.probabilistic.ProbabilityDistribution.ProbabilityDistribution.uod">uod (pyFTS.probabilistic.ProbabilityDistribution.ProbabilityDistribution attribute)</a>
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</li>
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<li><a href="pyFTS.common.html#pyFTS.common.fts.FTS.uod_clip">uod_clip (pyFTS.common.fts.FTS attribute)</a>
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</li>
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<li><a href="pyFTS.models.html#pyFTS.models.pwfts.ProbabilisticWeightedFTS.update_model">update_model() (pyFTS.models.pwfts.ProbabilisticWeightedFTS method)</a>
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</li>
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<li><a href="pyFTS.models.ensemble.html#pyFTS.models.ensemble.multiseasonal.SeasonalEnsembleFTS.update_uod">update_uod() (pyFTS.models.ensemble.multiseasonal.SeasonalEnsembleFTS method)</a>
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</li>
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<li><a href="pyFTS.partitioners.html#pyFTS.partitioners.partitioner.Partitioner.upper_set">upper_set() (pyFTS.partitioners.partitioner.Partitioner method)</a>
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</li>
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<li><a href="pyFTS.benchmarks.html#pyFTS.benchmarks.Measures.UStatistic">UStatistic() (in module pyFTS.benchmarks.Measures)</a>
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|
</li>
|
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</ul></td>
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</tr></table>
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<h2 id="V">V</h2>
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|
<table style="width: 100%" class="indextable genindextable"><tr>
|
|
<td style="width: 33%; vertical-align: top;"><ul>
|
|
<li><a href="pyFTS.models.multivariate.html#pyFTS.models.multivariate.variable.Variable">Variable (class in pyFTS.models.multivariate.variable)</a>
|
|
</li>
|
|
</ul></td>
|
|
<td style="width: 33%; vertical-align: top;"><ul>
|
|
<li><a href="pyFTS.common.html#pyFTS.common.FuzzySet.FuzzySet.variable">variable (pyFTS.common.FuzzySet.FuzzySet attribute)</a>
|
|
</li>
|
|
<li><a href="pyFTS.models.html#pyFTS.models.pwfts.visualize_distributions">visualize_distributions() (in module pyFTS.models.pwfts)</a>
|
|
</li>
|
|
</ul></td>
|
|
</tr></table>
|
|
|
|
<h2 id="W">W</h2>
|
|
<table style="width: 100%" class="indextable genindextable"><tr>
|
|
<td style="width: 33%; vertical-align: top;"><ul>
|
|
<li><a href="pyFTS.models.html#pyFTS.models.yu.WeightedFLRG">WeightedFLRG (class in pyFTS.models.yu)</a>
|
|
</li>
|
|
<li><a href="pyFTS.models.html#pyFTS.models.yu.WeightedFTS">WeightedFTS (class in pyFTS.models.yu)</a>
|
|
</li>
|
|
<li><a href="pyFTS.models.html#pyFTS.models.cheng.TrendWeightedFLRG.weights">weights() (pyFTS.models.cheng.TrendWeightedFLRG method)</a>
|
|
|
|
<ul>
|
|
<li><a href="pyFTS.models.html#pyFTS.models.ismailefendi.ImprovedWeightedFLRG.weights">(pyFTS.models.ismailefendi.ImprovedWeightedFLRG method)</a>
|
|
</li>
|
|
<li><a href="pyFTS.models.html#pyFTS.models.sadaei.ExponentialyWeightedFLRG.weights">(pyFTS.models.sadaei.ExponentialyWeightedFLRG method)</a>
|
|
</li>
|
|
<li><a href="pyFTS.models.html#pyFTS.models.yu.WeightedFLRG.weights">(pyFTS.models.yu.WeightedFLRG method)</a>
|
|
</li>
|
|
</ul></li>
|
|
</ul></td>
|
|
<td style="width: 33%; vertical-align: top;"><ul>
|
|
<li><a href="pyFTS.data.html#pyFTS.data.artificial.white_noise">white_noise() (in module pyFTS.data.artificial)</a>
|
|
</li>
|
|
<li><a href="pyFTS.models.nonstationary.html#pyFTS.models.nonstationary.common.FuzzySet.width">width (pyFTS.models.nonstationary.common.FuzzySet attribute)</a>
|
|
</li>
|
|
<li><a href="pyFTS.models.nonstationary.html#pyFTS.models.nonstationary.common.FuzzySet.width_params">width_params (pyFTS.models.nonstationary.common.FuzzySet attribute)</a>
|
|
</li>
|
|
<li><a href="pyFTS.models.nonstationary.html#pyFTS.models.nonstationary.common.window_index">window_index() (in module pyFTS.models.nonstationary.common)</a>
|
|
</li>
|
|
<li><a href="pyFTS.benchmarks.html#pyFTS.benchmarks.Measures.winkler_mean">winkler_mean() (in module pyFTS.benchmarks.Measures)</a>
|
|
</li>
|
|
<li><a href="pyFTS.benchmarks.html#pyFTS.benchmarks.Measures.winkler_score">winkler_score() (in module pyFTS.benchmarks.Measures)</a>
|
|
</li>
|
|
</ul></td>
|
|
</tr></table>
|
|
|
|
<h2 id="Y">Y</h2>
|
|
<table style="width: 100%" class="indextable genindextable"><tr>
|
|
<td style="width: 33%; vertical-align: top;"><ul>
|
|
<li><a href="pyFTS.models.seasonal.html#pyFTS.models.seasonal.common.DateTime.year">year (pyFTS.models.seasonal.common.DateTime attribute)</a>
|
|
</li>
|
|
</ul></td>
|
|
</tr></table>
|
|
|
|
<h2 id="Z">Z</h2>
|
|
<table style="width: 100%" class="indextable genindextable"><tr>
|
|
<td style="width: 33%; vertical-align: top;"><ul>
|
|
<li><a href="pyFTS.common.html#pyFTS.common.FuzzySet.FuzzySet.Z">Z (pyFTS.common.FuzzySet.FuzzySet attribute)</a>
|
|
</li>
|
|
</ul></td>
|
|
<td style="width: 33%; vertical-align: top;"><ul>
|
|
<li><a href="pyFTS.common.html#pyFTS.common.Transformations.Z">Z() (in module pyFTS.common.Transformations)</a>
|
|
</li>
|
|
</ul></td>
|
|
</tr></table>
|
|
|
|
|
|
|
|
</div>
|
|
</div>
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|
</div>
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© Copyright 2018, Machine Intelligence and Data Science Laboratory - UFMG - Brazil.
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