Index

A

acf() (in module pyFTS.benchmarks.Measures) AdaptiveExpectation (class in pyFTS.common.Transformations) add_new_PWFLGR() (pyFTS.models.pwfts.ProbabilisticWeightedFTS method) aggregate() (in module pyFTS.common.Transformations) AllMethodEnsembleFTS (class in pyFTS.models.ensemble.ensemble) analytic_tabular_dataframe() (in module pyFTS.benchmarks.Util) analytical_data_columns() (in module pyFTS.benchmarks.Util) append() (pyFTS.common.Composite.FuzzySet method) (pyFTS.models.multivariate.partitioner.MultivariatePartitioner method) (pyFTS.partitioners.Simple.SimplePartitioner method) (pyFTS.probabilistic.ProbabilityDistribution.ProbabilityDistribution method) append_complex() (pyFTS.partitioners.Simple.SimplePartitioner method) append_interval() (pyFTS.probabilistic.ProbabilityDistribution.ProbabilityDistribution method) append_lhs() (pyFTS.models.hofts.HighOrderFLRG method) (pyFTS.models.hofts.WeightedHighOrderFLRG method) (pyFTS.models.nonstationary.cvfts.HighOrderNonstationaryFLRG method) (pyFTS.models.nonstationary.honsfts.HighOrderNonStationaryFLRG method) append_log() (pyFTS.common.fts.FTS method) append_model() (pyFTS.models.ensemble.ensemble.EnsembleFTS method) append_rhs() (pyFTS.common.flrg.FLRG method) (pyFTS.models.chen.ConventionalFLRG method) (pyFTS.models.hofts.HighOrderFLRG method) (pyFTS.models.hofts.WeightedHighOrderFLRG method) (pyFTS.models.ismailefendi.ImprovedWeightedFLRG method) (pyFTS.models.multivariate.flrg.FLRG method) (pyFTS.models.multivariate.wmvfts.WeightedFLRG method) (pyFTS.models.nonstationary.cvfts.HighOrderNonstationaryFLRG method) (pyFTS.models.nonstationary.honsfts.HighOrderNonStationaryFLRG method) (pyFTS.models.nonstationary.nsfts.ConventionalNonStationaryFLRG method) (pyFTS.models.pwfts.ProbabilisticWeightedFLRG method) (pyFTS.models.sadaei.ExponentialyWeightedFLRG method) (pyFTS.models.seasonal.cmsfts.ContextualSeasonalFLRG method) (pyFTS.models.seasonal.sfts.SeasonalFLRG method) (pyFTS.models.yu.WeightedFLRG method)

append_rule() (pyFTS.common.fts.FTS method) append_set() (pyFTS.common.Composite.FuzzySet method) (pyFTS.models.multivariate.common.MultivariateFuzzySet method) append_transformation() (pyFTS.common.fts.FTS method) append_variable() (pyFTS.models.multivariate.mvfts.MVFTS method) appendChild() (pyFTS.common.tree.FLRGTreeNode method) apply() (pyFTS.common.Transformations.AdaptiveExpectation method) (pyFTS.common.Transformations.BoxCox method) (pyFTS.common.Transformations.Differential method) (pyFTS.common.Transformations.Scale method) (pyFTS.common.Transformations.Transformation method) apply_inverse_transformations() (pyFTS.common.fts.FTS method) (pyFTS.models.multivariate.variable.Variable method) apply_transformations() (pyFTS.common.fts.FTS method) (pyFTS.models.multivariate.mvfts.MVFTS method) (pyFTS.models.multivariate.variable.Variable method) ar() (pyFTS.benchmarks.arima.ARIMA method) ARIMA (class in pyFTS.benchmarks.arima) (class in pyFTS.benchmarks.BSTS) around() (pyFTS.common.SortedCollection.SortedCollection method) averageloglikelihood() (pyFTS.probabilistic.ProbabilityDistribution.ProbabilityDistribution method)

B

base_dataframe_columns() (in module pyFTS.benchmarks.Util) bellmf() (in module pyFTS.common.Membership) bestSplit() (in module pyFTS.partitioners.Entropy) between() (pyFTS.common.SortedCollection.SortedCollection method) blip() (pyFTS.data.artificial.SignalEmulator method) BoxCox (class in pyFTS.common.Transformations) BoxLjungStatistic() (in module pyFTS.benchmarks.Tests) BoxPierceStatistic() (in module pyFTS.benchmarks.Tests) brier_score() (in module pyFTS.benchmarks.Measures) build() (pyFTS.models.multivariate.grid.GridCluster method) (pyFTS.models.multivariate.partitioner.MultivariatePartitioner method) (pyFTS.models.multivariate.variable.Variable method) (pyFTS.models.nonstationary.partitioners.PolynomialNonStationaryPartitioner method) (pyFTS.models.nonstationary.partitioners.SimpleNonStationaryPartitioner method) (pyFTS.models.seasonal.partitioner.TimeGridPartitioner method) (pyFTS.partitioners.CMeans.CMeansPartitioner method) (pyFTS.partitioners.Entropy.EntropyPartitioner method) (pyFTS.partitioners.FCM.FCMPartitioner method) (pyFTS.partitioners.Grid.GridPartitioner method) (pyFTS.partitioners.Huarng.HuarngPartitioner method) (pyFTS.partitioners.Singleton.SingletonPartitioner method) (pyFTS.partitioners.partitioner.Partitioner method)

build_cdf_qtl() (pyFTS.probabilistic.ProbabilityDistribution.ProbabilityDistribution method) build_index() (pyFTS.models.multivariate.partitioner.MultivariatePartitioner method) (pyFTS.models.seasonal.partitioner.TimeGridPartitioner method) (pyFTS.partitioners.partitioner.Partitioner method) build_tree_without_order() (in module pyFTS.common.tree)

C

c_means() (in module pyFTS.partitioners.CMeans) cast_dataframe_to_synthetic() (in module pyFTS.benchmarks.Util) cast_dataframe_to_synthetic_interval() (in module pyFTS.benchmarks.Util) cast_dataframe_to_synthetic_point() (in module pyFTS.benchmarks.Util) cast_dataframe_to_synthetic_probabilistic() (in module pyFTS.benchmarks.Util) change_target_variable() (pyFTS.models.multivariate.partitioner.MultivariatePartitioner method) check_bounds() (in module pyFTS.common.FuzzySet) (in module pyFTS.models.nonstationary.common) (pyFTS.partitioners.partitioner.Partitioner method) check_bounds_index() (in module pyFTS.common.FuzzySet) (in module pyFTS.models.nonstationary.common) check_data() (pyFTS.models.multivariate.cmvfts.ClusteredMVFTS method) check_ignore_list() (in module pyFTS.benchmarks.Util) check_replace_list() (in module pyFTS.benchmarks.Util) clear() (pyFTS.common.SortedCollection.SortedCollection method) clip_uod() (pyFTS.common.fts.FTS method) clone_parameters() (pyFTS.common.fts.FTS method) (pyFTS.models.multivariate.mvfts.MVFTS method) ClusteredMVFTS (class in pyFTS.models.multivariate.cmvfts) CMeansPartitioner (class in pyFTS.partitioners.CMeans) common_process_interval_jobs() (in module pyFTS.benchmarks.benchmarks) common_process_point_jobs() (in module pyFTS.benchmarks.benchmarks) common_process_probabilistic_jobs() (in module pyFTS.benchmarks.benchmarks) common_process_time_jobs() (in module pyFTS.benchmarks.benchmarks)

compare_residuals() (in module pyFTS.benchmarks.ResidualAnalysis) compareModelsPlot() (in module pyFTS.benchmarks.benchmarks) compareModelsTable() (in module pyFTS.benchmarks.benchmarks) conditional_perturbation_factors() (pyFTS.models.nonstationary.nsfts.NonStationaryFTS method) ConditionalVarianceFTS (class in pyFTS.models.nonstationary.cvfts) configure_lags() (pyFTS.models.hofts.HighOrderFTS method) (pyFTS.models.hwang.HighOrderFTS method) ContextualMultiSeasonalFTS (class in pyFTS.models.seasonal.cmsfts) ContextualSeasonalFLRG (class in pyFTS.models.seasonal.cmsfts) ConventionalFLRG (class in pyFTS.models.chen) ConventionalFTS (class in pyFTS.models.chen) (class in pyFTS.models.song) ConventionalNonStationaryFLRG (class in pyFTS.models.nonstationary.nsfts) copy() (pyFTS.common.SortedCollection.SortedCollection method) count() (pyFTS.common.SortedCollection.SortedCollection method) coverage() (in module pyFTS.benchmarks.Measures) create_benchmark_tables() (in module pyFTS.benchmarks.Util) create_hyperparam_tables() (in module pyFTS.hyperparam.Util) create_multivariate_model() (in module pyFTS.distributed.spark) create_spark_conf() (in module pyFTS.distributed.spark) create_univariate_model() (in module pyFTS.distributed.spark) crossentropy() (pyFTS.probabilistic.ProbabilityDistribution.ProbabilityDistribution method) crps() (in module pyFTS.benchmarks.Measures) cumulative() (pyFTS.probabilistic.ProbabilityDistribution.ProbabilityDistribution method) current_milli_time() (in module pyFTS.common.Util)

D

DataFrameSeasonalIndexer (class in pyFTS.models.seasonal.SeasonalIndexer) DateTime (class in pyFTS.models.seasonal.common) DateTimeSeasonalIndexer (class in pyFTS.models.seasonal.SeasonalIndexer) day_of_month (pyFTS.models.seasonal.common.DateTime attribute) day_of_week (pyFTS.models.seasonal.common.DateTime attribute) day_of_year (pyFTS.models.seasonal.common.DateTime attribute) defuzzyfy() (pyFTS.models.multivariate.grid.GridCluster method) (pyFTS.partitioners.partitioner.Partitioner method)

density() (pyFTS.probabilistic.ProbabilityDistribution.ProbabilityDistribution method) Differential (class in pyFTS.common.Transformations) differential_offset() (pyFTS.probabilistic.ProbabilityDistribution.ProbabilityDistribution method) distance() (in module pyFTS.partitioners.CMeans) distributed_predict() (in module pyFTS.distributed.spark) distributed_train() (in module pyFTS.distributed.spark) draw_sets_on_axis() (in module pyFTS.common.Util)

E

empiricalloglikelihood() (pyFTS.probabilistic.ProbabilityDistribution.ProbabilityDistribution method) EnsembleFTS (class in pyFTS.models.ensemble.ensemble) entropy() (in module pyFTS.partitioners.Entropy) (pyFTS.probabilistic.ProbabilityDistribution.ProbabilityDistribution method) EntropyPartitioner (class in pyFTS.partitioners.Entropy) enumerate2() (in module pyFTS.common.Util) expected_value() (pyFTS.probabilistic.ProbabilityDistribution.ProbabilityDistribution method)

explore_partitioners() (in module pyFTS.partitioners.parallel_util) (in module pyFTS.partitioners.Util) exponential() (in module pyFTS.models.nonstationary.perturbation) ExponentialyWeightedFLRG (class in pyFTS.models.sadaei) ExponentialyWeightedFTS (class in pyFTS.models.sadaei) extract_measure() (in module pyFTS.benchmarks.Util) extractor() (pyFTS.models.seasonal.partitioner.TimeGridPartitioner method) (pyFTS.partitioners.partitioner.Partitioner method)

F

FCMPartitioner (class in pyFTS.partitioners.FCM) find() (pyFTS.common.SortedCollection.SortedCollection method) find_best() (in module pyFTS.benchmarks.Util) find_ge() (pyFTS.common.SortedCollection.SortedCollection method) find_gt() (pyFTS.common.SortedCollection.SortedCollection method) find_le() (pyFTS.common.SortedCollection.SortedCollection method) find_lt() (pyFTS.common.SortedCollection.SortedCollection method) fit() (pyFTS.common.fts.FTS method) flat() (in module pyFTS.common.tree) FLR (class in pyFTS.common.FLR) (class in pyFTS.models.multivariate.FLR) flr_membership_matrix() (pyFTS.models.song.ConventionalFTS method) FLRG (class in pyFTS.common.flrg) (class in pyFTS.models.multivariate.flrg) flrg_lhs_conditional_probability() (pyFTS.models.pwfts.ProbabilisticWeightedFTS method) flrg_lhs_conditional_probability_fuzzyfied() (pyFTS.models.pwfts.ProbabilisticWeightedFTS method) flrg_lhs_unconditional_probability() (pyFTS.models.pwfts.ProbabilisticWeightedFTS method) flrg_rhs_conditional_probability() (pyFTS.models.pwfts.ProbabilisticWeightedFTS method) FLRGTree (class in pyFTS.common.tree) FLRGTreeNode (class in pyFTS.common.tree) forecast() (pyFTS.benchmarks.arima.ARIMA method) (pyFTS.benchmarks.BSTS.ARIMA method) (pyFTS.benchmarks.gaussianproc.GPR method) (pyFTS.benchmarks.knn.KNearestNeighbors method) (pyFTS.benchmarks.naive.Naive method) (pyFTS.benchmarks.quantreg.QuantileRegression method) (pyFTS.common.fts.FTS method) (pyFTS.models.chen.ConventionalFTS method) (pyFTS.models.ensemble.ensemble.EnsembleFTS method) (pyFTS.models.hofts.HighOrderFTS method) (pyFTS.models.hwang.HighOrderFTS method) (pyFTS.models.incremental.IncrementalEnsemble.IncrementalEnsembleFTS method) (pyFTS.models.incremental.TimeVariant.Retrainer method) (pyFTS.models.ismailefendi.ImprovedWeightedFTS method) (pyFTS.models.multivariate.cmvfts.ClusteredMVFTS method) (pyFTS.models.multivariate.mvfts.MVFTS method) (pyFTS.models.nonstationary.cvfts.ConditionalVarianceFTS method) (pyFTS.models.nonstationary.honsfts.HighOrderNonStationaryFTS method) (pyFTS.models.nonstationary.nsfts.NonStationaryFTS method) (pyFTS.models.pwfts.ProbabilisticWeightedFTS method) (pyFTS.models.sadaei.ExponentialyWeightedFTS method) (pyFTS.models.seasonal.cmsfts.ContextualMultiSeasonalFTS method) (pyFTS.models.seasonal.msfts.MultiSeasonalFTS method) (pyFTS.models.seasonal.sfts.SeasonalFTS method) (pyFTS.models.song.ConventionalFTS method) (pyFTS.models.yu.WeightedFTS method) forecast_ahead() (pyFTS.benchmarks.BSTS.ARIMA method) (pyFTS.benchmarks.gaussianproc.GPR method) (pyFTS.common.fts.FTS method) (pyFTS.models.multivariate.mvfts.MVFTS method) (pyFTS.models.pwfts.ProbabilisticWeightedFTS method) (pyFTS.models.seasonal.cmsfts.ContextualMultiSeasonalFTS method) (pyFTS.models.seasonal.msfts.MultiSeasonalFTS method) forecast_ahead_distribution() (pyFTS.benchmarks.arima.ARIMA method) (pyFTS.benchmarks.BSTS.ARIMA method) (pyFTS.benchmarks.gaussianproc.GPR method) (pyFTS.benchmarks.knn.KNearestNeighbors method) (pyFTS.benchmarks.quantreg.QuantileRegression method) (pyFTS.common.fts.FTS method) (pyFTS.models.ensemble.ensemble.EnsembleFTS method) (pyFTS.models.multivariate.cmvfts.ClusteredMVFTS method) (pyFTS.models.pwfts.ProbabilisticWeightedFTS method) forecast_ahead_interval() (pyFTS.benchmarks.arima.ARIMA method) (pyFTS.benchmarks.BSTS.ARIMA method) (pyFTS.benchmarks.gaussianproc.GPR method) (pyFTS.benchmarks.knn.KNearestNeighbors method) (pyFTS.benchmarks.quantreg.QuantileRegression method) (pyFTS.common.fts.FTS method) (pyFTS.models.ensemble.ensemble.EnsembleFTS method) (pyFTS.models.ifts.IntervalFTS method) (pyFTS.models.ifts.WeightedIntervalFTS method) (pyFTS.models.multivariate.mvfts.MVFTS method) (pyFTS.models.pwfts.ProbabilisticWeightedFTS method)

forecast_ahead_multivariate() (pyFTS.common.fts.FTS method) (pyFTS.models.multivariate.cmvfts.ClusteredMVFTS method) forecast_distribution() (pyFTS.benchmarks.arima.ARIMA method) (pyFTS.benchmarks.BSTS.ARIMA method) (pyFTS.benchmarks.gaussianproc.GPR method) (pyFTS.benchmarks.knn.KNearestNeighbors method) (pyFTS.benchmarks.quantreg.QuantileRegression method) (pyFTS.common.fts.FTS method) (pyFTS.models.ensemble.ensemble.EnsembleFTS method) (pyFTS.models.ensemble.multiseasonal.SeasonalEnsembleFTS method) (pyFTS.models.multivariate.cmvfts.ClusteredMVFTS method) (pyFTS.models.pwfts.ProbabilisticWeightedFTS method) forecast_distribution_from_distribution() (pyFTS.models.pwfts.ProbabilisticWeightedFTS method) forecast_interval() (pyFTS.benchmarks.arima.ARIMA method) (pyFTS.benchmarks.BSTS.ARIMA method) (pyFTS.benchmarks.gaussianproc.GPR method) (pyFTS.benchmarks.knn.KNearestNeighbors method) (pyFTS.benchmarks.quantreg.QuantileRegression method) (pyFTS.common.fts.FTS method) (pyFTS.models.ensemble.ensemble.EnsembleFTS method) (pyFTS.models.ifts.IntervalFTS method) (pyFTS.models.ifts.WeightedIntervalFTS method) (pyFTS.models.multivariate.cmvfts.ClusteredMVFTS method) (pyFTS.models.multivariate.mvfts.MVFTS method) (pyFTS.models.nonstationary.cvfts.ConditionalVarianceFTS method) (pyFTS.models.nonstationary.honsfts.HighOrderNonStationaryFTS method) (pyFTS.models.nonstationary.nsfts.NonStationaryFTS method) (pyFTS.models.pwfts.ProbabilisticWeightedFTS method) forecast_multivariate() (pyFTS.common.fts.FTS method) (pyFTS.models.multivariate.cmvfts.ClusteredMVFTS method) format_data() (pyFTS.models.multivariate.mvfts.MVFTS method) (pyFTS.models.multivariate.partitioner.MultivariatePartitioner method) format_experiment_table() (in module pyFTS.benchmarks.Tests) from_point() (in module pyFTS.probabilistic.ProbabilityDistribution) FTS (class in pyFTS.common.fts) fuzzify() (in module pyFTS.models.nonstationary.common) fuzzy() (pyFTS.common.fts.FTS method) fuzzy_cmeans() (in module pyFTS.partitioners.FCM) fuzzy_distance() (in module pyFTS.partitioners.FCM) fuzzyfy() (in module pyFTS.common.FuzzySet) (pyFTS.models.multivariate.cmvfts.ClusteredMVFTS method) (pyFTS.models.multivariate.grid.IncrementalGridCluster method) (pyFTS.models.multivariate.partitioner.MultivariatePartitioner method) (pyFTS.partitioners.partitioner.Partitioner method) fuzzyfy_instance() (in module pyFTS.common.FuzzySet) (in module pyFTS.models.multivariate.common) fuzzyfy_instance_clustered() (in module pyFTS.models.multivariate.common) fuzzyfy_instances() (in module pyFTS.common.FuzzySet) fuzzyfy_series() (in module pyFTS.common.FuzzySet) fuzzyfy_series_old() (in module pyFTS.common.FuzzySet) fuzzySeries() (in module pyFTS.models.nonstationary.common) FuzzySet (class in pyFTS.common.Composite) (class in pyFTS.common.FuzzySet) (class in pyFTS.models.nonstationary.common) (class in pyFTS.models.seasonal.common)

G

gaussmf() (in module pyFTS.common.Membership) generate_flrg() (pyFTS.models.chen.ConventionalFTS method) generate_FLRG() (pyFTS.models.cheng.TrendWeightedFTS method) generate_flrg() (pyFTS.models.hofts.HighOrderFTS method) (pyFTS.models.ismailefendi.ImprovedWeightedFTS method) (pyFTS.models.multivariate.mvfts.MVFTS method) (pyFTS.models.multivariate.wmvfts.WeightedMVFTS method) (pyFTS.models.nonstationary.cvfts.ConditionalVarianceFTS method) (pyFTS.models.nonstationary.honsfts.HighOrderNonStationaryFTS method) (pyFTS.models.nonstationary.nsfts.NonStationaryFTS method) (pyFTS.models.pwfts.ProbabilisticWeightedFTS method) (pyFTS.models.sadaei.ExponentialyWeightedFTS method) (pyFTS.models.seasonal.cmsfts.ContextualMultiSeasonalFTS method) (pyFTS.models.seasonal.msfts.MultiSeasonalFTS method) (pyFTS.models.seasonal.sfts.SeasonalFTS method) generate_FLRG() (pyFTS.models.yu.WeightedFTS method) generate_flrg2() (pyFTS.models.pwfts.ProbabilisticWeightedFTS method) generate_flrg_fuzzyfied() (pyFTS.models.hofts.HighOrderFTS method) (pyFTS.models.pwfts.ProbabilisticWeightedFTS method) generate_flrs() (pyFTS.models.multivariate.mvfts.MVFTS method) generate_gaussian_linear() (in module pyFTS.data.artificial) generate_high_order_recurrent_flr() (in module pyFTS.common.FLR) generate_indexed_flrs() (in module pyFTS.common.FLR) generate_lhs_flrg() (pyFTS.models.hofts.HighOrderFTS method) (pyFTS.models.pwfts.ProbabilisticWeightedFTS method) generate_lhs_flrg_fuzzyfied() (pyFTS.models.hofts.HighOrderFTS method) (pyFTS.models.hofts.WeightedHighOrderFTS method) (pyFTS.models.pwfts.ProbabilisticWeightedFTS method) generate_lhs_flrs() (pyFTS.models.multivariate.mvfts.MVFTS method) generate_linear_periodic_gaussian() (in module pyFTS.data.artificial) generate_non_recurrent_flrs() (in module pyFTS.common.FLR) generate_recurrent_flrs() (in module pyFTS.common.FLR) generate_sinoidal_periodic_gaussian() (in module pyFTS.data.artificial) generate_uniform_linear() (in module pyFTS.data.artificial) get_benchmark_interval_methods() (in module pyFTS.benchmarks.benchmarks) get_benchmark_point_methods() (in module pyFTS.benchmarks.benchmarks) get_benchmark_probabilistic_methods() (in module pyFTS.benchmarks.benchmarks) get_clustered_partitioner() (in module pyFTS.distributed.spark) get_data() (in module pyFTS.data.AirPassengers) (in module pyFTS.data.Bitcoin) (in module pyFTS.data.DowJones) (in module pyFTS.data.EURGBP) (in module pyFTS.data.EURUSD) (in module pyFTS.data.Enrollments) (in module pyFTS.data.Ethereum) (in module pyFTS.data.GBPUSD) (in module pyFTS.data.Malaysia) (in module pyFTS.data.NASDAQ) (in module pyFTS.data.SONDA) (in module pyFTS.data.SP500) (in module pyFTS.data.TAIEX) (in module pyFTS.data.henon) (in module pyFTS.data.logistic_map) (in module pyFTS.data.lorentz) (in module pyFTS.data.mackey_glass) (in module pyFTS.data.rossler) (in module pyFTS.data.sunspots) (pyFTS.models.seasonal.SeasonalIndexer.DataFrameSeasonalIndexer method) (pyFTS.models.seasonal.SeasonalIndexer.DateTimeSeasonalIndexer method) (pyFTS.models.seasonal.SeasonalIndexer.LinearSeasonalIndexer method) (pyFTS.models.seasonal.SeasonalIndexer.SeasonalIndexer method) get_data_by_season() (pyFTS.models.seasonal.SeasonalIndexer.DataFrameSeasonalIndexer method) (pyFTS.models.seasonal.SeasonalIndexer.DateTimeSeasonalIndexer method) (pyFTS.models.seasonal.SeasonalIndexer.SeasonalIndexer method) get_dataframe() (in module pyFTS.data.AirPassengers) (in module pyFTS.data.Bitcoin) (in module pyFTS.data.DowJones) (in module pyFTS.data.EURGBP) (in module pyFTS.data.EURUSD) (in module pyFTS.data.Enrollments) (in module pyFTS.data.Ethereum) (in module pyFTS.data.GBPUSD) (in module pyFTS.data.INMET) (in module pyFTS.data.Malaysia) (in module pyFTS.data.NASDAQ) (in module pyFTS.data.SONDA) (in module pyFTS.data.SP500) (in module pyFTS.data.TAIEX) (in module pyFTS.data.common) (in module pyFTS.data.henon) (in module pyFTS.data.lorentz) (in module pyFTS.data.rossler) (in module pyFTS.data.sunspots) get_dataframe_from_bd() (in module pyFTS.benchmarks.Util) get_distribution_ahead_statistics() (in module pyFTS.benchmarks.Measures)

get_distribution_interquantile() (pyFTS.models.ensemble.ensemble.EnsembleFTS method) get_distribution_statistics() (in module pyFTS.benchmarks.Measures) get_fuzzysets() (in module pyFTS.common.FuzzySet) get_index() (pyFTS.models.seasonal.SeasonalIndexer.DateTimeSeasonalIndexer method) (pyFTS.models.seasonal.SeasonalIndexer.SeasonalIndexer method) get_index_by_season() (pyFTS.models.seasonal.SeasonalIndexer.DataFrameSeasonalIndexer method) (pyFTS.models.seasonal.SeasonalIndexer.DateTimeSeasonalIndexer method) (pyFTS.models.seasonal.SeasonalIndexer.LinearSeasonalIndexer method) (pyFTS.models.seasonal.SeasonalIndexer.SeasonalIndexer method) get_interval() (pyFTS.models.ensemble.ensemble.EnsembleFTS method) get_interval_ahead_statistics() (in module pyFTS.benchmarks.Measures) get_interval_methods() (in module pyFTS.benchmarks.benchmarks) get_interval_statistics() (in module pyFTS.benchmarks.Measures) get_key() (pyFTS.common.flrg.FLRG method) (pyFTS.models.chen.ConventionalFLRG method) (pyFTS.models.nonstationary.flrg.NonStationaryFLRG method) (pyFTS.models.nonstationary.nsfts.ConventionalNonStationaryFLRG method) (pyFTS.models.seasonal.sfts.SeasonalFLRG method) get_lower() (pyFTS.common.flrg.FLRG method) (pyFTS.models.hofts.WeightedHighOrderFLRG method) (pyFTS.models.ifts.IntervalFTS method) (pyFTS.models.ifts.WeightedIntervalFTS method) (pyFTS.models.multivariate.flrg.FLRG method) (pyFTS.models.multivariate.wmvfts.WeightedFLRG method) (pyFTS.models.nonstationary.common.FuzzySet method) (pyFTS.models.nonstationary.flrg.NonStationaryFLRG method) (pyFTS.models.pwfts.ProbabilisticWeightedFLRG method) (pyFTS.models.pwfts.ProbabilisticWeightedFTS method) get_maximum_membership_fuzzyset() (in module pyFTS.common.FuzzySet) get_maximum_membership_fuzzyset_index() (in module pyFTS.common.FuzzySet) get_membership() (pyFTS.common.flrg.FLRG method) (pyFTS.models.multivariate.flrg.FLRG method) (pyFTS.models.nonstationary.flrg.NonStationaryFLRG method) (pyFTS.models.pwfts.ProbabilisticWeightedFLRG method) get_midpoint() (pyFTS.common.flrg.FLRG method) (pyFTS.models.hofts.WeightedHighOrderFLRG method) (pyFTS.models.multivariate.wmvfts.WeightedFLRG method) (pyFTS.models.nonstationary.common.FuzzySet method) (pyFTS.models.nonstationary.flrg.NonStationaryFLRG method) (pyFTS.models.pwfts.ProbabilisticWeightedFLRG method) (pyFTS.models.pwfts.ProbabilisticWeightedFTS method) get_midpoints() (pyFTS.common.flrg.FLRG method) (pyFTS.models.seasonal.cmsfts.ContextualMultiSeasonalFTS method) (pyFTS.models.seasonal.sfts.SeasonalFTS method) get_models_forecasts() (pyFTS.models.ensemble.ensemble.EnsembleFTS method) get_name() (pyFTS.partitioners.partitioner.Partitioner method) get_partitioner() (in module pyFTS.distributed.spark) get_point() (pyFTS.models.ensemble.ensemble.EnsembleFTS method) get_point_ahead_statistics() (in module pyFTS.benchmarks.Measures) get_point_methods() (in module pyFTS.benchmarks.benchmarks) get_point_multivariate_methods() (in module pyFTS.benchmarks.benchmarks) get_point_statistics() (in module pyFTS.benchmarks.Measures) get_polynomial_perturbations() (pyFTS.models.nonstationary.partitioners.PolynomialNonStationaryPartitioner method) get_probabilistic_methods() (in module pyFTS.benchmarks.benchmarks) get_season_by_index() (pyFTS.models.seasonal.SeasonalIndexer.DataFrameSeasonalIndexer method) (pyFTS.models.seasonal.SeasonalIndexer.DateTimeSeasonalIndexer method) (pyFTS.models.seasonal.SeasonalIndexer.LinearSeasonalIndexer method) (pyFTS.models.seasonal.SeasonalIndexer.SeasonalIndexer method) get_season_of_data() (pyFTS.models.seasonal.SeasonalIndexer.DataFrameSeasonalIndexer method) (pyFTS.models.seasonal.SeasonalIndexer.DateTimeSeasonalIndexer method) (pyFTS.models.seasonal.SeasonalIndexer.LinearSeasonalIndexer method) (pyFTS.models.seasonal.SeasonalIndexer.SeasonalIndexer method) get_sequence_membership() (pyFTS.models.ifts.IntervalFTS method) (pyFTS.models.ifts.WeightedIntervalFTS method) get_sets_from_both_fuzzyfication() (pyFTS.models.pwfts.ProbabilisticWeightedFTS method) get_UoD() (pyFTS.common.fts.FTS method) (pyFTS.models.ensemble.ensemble.EnsembleFTS method) get_upper() (pyFTS.common.flrg.FLRG method) (pyFTS.models.hofts.WeightedHighOrderFLRG method) (pyFTS.models.ifts.IntervalFTS method) (pyFTS.models.ifts.WeightedIntervalFTS method) (pyFTS.models.multivariate.flrg.FLRG method) (pyFTS.models.multivariate.wmvfts.WeightedFLRG method) (pyFTS.models.nonstationary.common.FuzzySet method) (pyFTS.models.nonstationary.flrg.NonStationaryFLRG method) (pyFTS.models.pwfts.ProbabilisticWeightedFLRG method) (pyFTS.models.pwfts.ProbabilisticWeightedFTS method) get_variables() (in module pyFTS.distributed.spark) getChildren() (pyFTS.common.tree.FLRGTreeNode method) getStr() (pyFTS.common.tree.FLRGTreeNode method) GPR (class in pyFTS.benchmarks.gaussianproc) grant_bounds() (in module pyFTS.common.FuzzySet) GranularWMVFTS (class in pyFTS.models.multivariate.granular) GridCluster (class in pyFTS.models.multivariate.grid) GridPartitioner (class in pyFTS.partitioners.Grid)

H

half (pyFTS.models.seasonal.common.DateTime attribute) HighOrderFLRG (class in pyFTS.models.hofts) HighOrderFTS (class in pyFTS.models.hofts) (class in pyFTS.models.hwang) HighOrderNonstationaryFLRG (class in pyFTS.models.nonstationary.cvfts) HighOrderNonStationaryFLRG (class in pyFTS.models.nonstationary.honsfts)

HighOrderNonStationaryFTS (class in pyFTS.models.nonstationary.honsfts) hour (pyFTS.models.seasonal.common.DateTime attribute) hour_of_month (pyFTS.models.seasonal.common.DateTime attribute) hour_of_week (pyFTS.models.seasonal.common.DateTime attribute) hour_of_year (pyFTS.models.seasonal.common.DateTime attribute) HuarngPartitioner (class in pyFTS.partitioners.Huarng)

I

ImprovedWeightedFLRG (class in pyFTS.models.ismailefendi) ImprovedWeightedFTS (class in pyFTS.models.ismailefendi) incremental_gaussian() (pyFTS.data.artificial.SignalEmulator method) incremental_search() (pyFTS.models.multivariate.grid.IncrementalGridCluster method) IncrementalEnsembleFTS (class in pyFTS.models.incremental.IncrementalEnsemble) IncrementalGridCluster (class in pyFTS.models.multivariate.grid) index() (pyFTS.common.SortedCollection.SortedCollection method) IndexedFLR (class in pyFTS.common.FLR) inference() (pyFTS.benchmarks.BSTS.ARIMA method) informationGain() (in module pyFTS.partitioners.Entropy) insert() (pyFTS.common.SortedCollection.SortedCollection method) insert_benchmark() (in module pyFTS.benchmarks.Util) insert_hyperparam() (in module pyFTS.hyperparam.Util)

insert_right() (pyFTS.common.SortedCollection.SortedCollection method) inside() (pyFTS.common.SortedCollection.SortedCollection method) interval_dataframe_analytic_columns() (in module pyFTS.benchmarks.Util) interval_dataframe_synthetic_columns() (in module pyFTS.benchmarks.Util) interval_heuristic() (pyFTS.models.pwfts.ProbabilisticWeightedFTS method) interval_quantile() (pyFTS.models.pwfts.ProbabilisticWeightedFTS method) interval_to_interval() (pyFTS.benchmarks.quantreg.QuantileRegression method) IntervalFTS (class in pyFTS.models.ifts) inverse() (pyFTS.common.Transformations.AdaptiveExpectation method) (pyFTS.common.Transformations.BoxCox method) (pyFTS.common.Transformations.Differential method) (pyFTS.common.Transformations.Scale method) (pyFTS.common.Transformations.Transformation method)

K

kernel_function() (pyFTS.probabilistic.kde.KernelSmoothing method) KernelSmoothing (class in pyFTS.probabilistic.kde) key (pyFTS.common.SortedCollection.SortedCollection attribute)

KNearestNeighbors (class in pyFTS.benchmarks.knn) knn() (pyFTS.benchmarks.knn.KNearestNeighbors method) kullbackleiblerdivergence() (pyFTS.probabilistic.ProbabilityDistribution.ProbabilityDistribution method)

L

len_total() (pyFTS.common.fts.FTS method) lhs_conditional_probability() (pyFTS.models.pwfts.ProbabilisticWeightedFLRG method) lhs_conditional_probability_fuzzyfied() (pyFTS.models.pwfts.ProbabilisticWeightedFLRG method) linear() (in module pyFTS.models.nonstationary.perturbation) linearmodel() (pyFTS.benchmarks.quantreg.QuantileRegression method)

LinearSeasonalIndexer (class in pyFTS.models.seasonal.SeasonalIndexer) ljung_box_test() (in module pyFTS.benchmarks.ResidualAnalysis) load_env() (in module pyFTS.common.Util) load_obj() (in module pyFTS.common.Util) logarithm_score() (in module pyFTS.benchmarks.Measures) lower_set() (pyFTS.partitioners.partitioner.Partitioner method)

M

ma() (pyFTS.benchmarks.arima.ARIMA method) mape() (in module pyFTS.benchmarks.Measures) mape_interval() (in module pyFTS.benchmarks.Measures) membership() (in module pyFTS.partitioners.FCM) (pyFTS.common.Composite.FuzzySet method) (pyFTS.common.FuzzySet.FuzzySet method) (pyFTS.models.multivariate.common.MultivariateFuzzySet method) (pyFTS.models.nonstationary.common.FuzzySet method) merge() (pyFTS.common.fts.FTS method) minute (pyFTS.models.seasonal.common.DateTime attribute) minute_of_day (pyFTS.models.seasonal.common.DateTime attribute)

minute_of_month (pyFTS.models.seasonal.common.DateTime attribute) minute_of_week (pyFTS.models.seasonal.common.DateTime attribute) minute_of_year (pyFTS.models.seasonal.common.DateTime attribute) month (pyFTS.models.seasonal.common.DateTime attribute) MultiSeasonalFTS (class in pyFTS.models.seasonal.msfts) multivariate_sliding_window_benchmarks2() (in module pyFTS.benchmarks.benchmarks) MultivariateFuzzySet (class in pyFTS.models.multivariate.common) MultivariatePartitioner (class in pyFTS.models.multivariate.partitioner) mv_run_interval2() (in module pyFTS.benchmarks.benchmarks) mv_run_point2() (in module pyFTS.benchmarks.benchmarks) mv_run_probabilistic2() (in module pyFTS.benchmarks.benchmarks) MVFTS (class in pyFTS.models.multivariate.mvfts)

N

Naive (class in pyFTS.benchmarks.naive)

NonStationaryFLRG (class in pyFTS.models.nonstationary.flrg) NonStationaryFTS (class in pyFTS.models.nonstationary.nsfts)

O

open_benchmark_db() (in module pyFTS.benchmarks.Util)

open_hyperparam_db() (in module pyFTS.hyperparam.Util) operation_matrix() (pyFTS.models.song.ConventionalFTS method)

P

parameters (pyFTS.common.Transformations.AdaptiveExpectation attribute) (pyFTS.common.Transformations.BoxCox attribute) (pyFTS.common.Transformations.Differential attribute) (pyFTS.common.Transformations.Scale attribute) partition_function() (pyFTS.common.FuzzySet.FuzzySet method) (pyFTS.models.pwfts.ProbabilisticWeightedFLRG method) Partitioner (class in pyFTS.partitioners.partitioner) paths() (pyFTS.common.tree.FLRGTreeNode method) perform_location() (pyFTS.models.nonstationary.common.FuzzySet method) perform_width() (pyFTS.models.nonstationary.common.FuzzySet method) periodic() (in module pyFTS.models.nonstationary.perturbation) periodic_gaussian() (pyFTS.data.artificial.SignalEmulator method) persist_env() (in module pyFTS.common.Util) persist_obj() (in module pyFTS.common.Util) perturbate_parameters() (pyFTS.models.nonstationary.common.FuzzySet method) perturbation_factors() (pyFTS.models.nonstationary.cvfts.ConditionalVarianceFTS method) perturbation_factors__old() (pyFTS.models.nonstationary.cvfts.ConditionalVarianceFTS method) pftsExploreOrderAndPartitions() (in module pyFTS.benchmarks.benchmarks) pinball() (in module pyFTS.benchmarks.Measures) pinball_mean() (in module pyFTS.benchmarks.Measures) plot() (pyFTS.models.seasonal.partitioner.TimeGridPartitioner method) (pyFTS.partitioners.partitioner.Partitioner method) (pyFTS.probabilistic.ProbabilityDistribution.ProbabilityDistribution method) plot_compared_intervals_ahead() (in module pyFTS.common.Util) plot_compared_series() (in module pyFTS.benchmarks.benchmarks) plot_dataframe_interval() (in module pyFTS.benchmarks.Util) plot_dataframe_interval_pinball() (in module pyFTS.benchmarks.Util) plot_dataframe_point() (in module pyFTS.benchmarks.Util) plot_dataframe_probabilistic() (in module pyFTS.benchmarks.Util) plot_density_rectange() (in module pyFTS.common.Util) plot_distribution() (in module pyFTS.common.Util) plot_distribution2() (in module pyFTS.common.Util) plot_distribution_tiled() (in module pyFTS.common.Util) plot_interval() (in module pyFTS.common.Util) plot_interval2() (in module pyFTS.common.Util) plot_partitioners() (in module pyFTS.partitioners.Util) plot_point() (in module pyFTS.benchmarks.benchmarks) plot_probability_distributions() (in module pyFTS.common.Util) plot_residuals_by_model() (in module pyFTS.benchmarks.ResidualAnalysis) plot_rules() (in module pyFTS.common.Util) plot_set() (pyFTS.partitioners.partitioner.Partitioner method) plot_sets() (in module pyFTS.models.nonstationary.util) (in module pyFTS.partitioners.Util) plot_sets_conditional() (in module pyFTS.models.nonstationary.util) plotCompared() (in module pyFTS.benchmarks.benchmarks) PMF() (in module pyFTS.partitioners.Entropy) point_dataframe_analytic_columns() (in module pyFTS.benchmarks.Util) point_dataframe_synthetic_columns() (in module pyFTS.benchmarks.Util) point_expected_value() (pyFTS.models.pwfts.ProbabilisticWeightedFTS method) point_heuristic() (pyFTS.models.pwfts.ProbabilisticWeightedFTS method) point_to_interval() (pyFTS.benchmarks.quantreg.QuantileRegression method) poly_width() (pyFTS.models.nonstationary.partitioners.PolynomialNonStationaryPartitioner method) polynomial() (in module pyFTS.models.nonstationary.perturbation) PolynomialNonStationaryPartitioner (class in pyFTS.models.nonstationary.partitioners) post_hoc_tests() (in module pyFTS.benchmarks.Tests) predict() (pyFTS.common.fts.FTS method) print_distribution_statistics() (in module pyFTS.benchmarks.benchmarks) print_interval_statistics() (in module pyFTS.benchmarks.benchmarks) print_point_statistics() (in module pyFTS.benchmarks.benchmarks) probabilistic_dataframe_analytic_columns() (in module pyFTS.benchmarks.Util) probabilistic_dataframe_synthetic_columns() (in module pyFTS.benchmarks.Util) ProbabilisticWeightedFLRG (class in pyFTS.models.pwfts) ProbabilisticWeightedFTS (class in pyFTS.models.pwfts) probability() (pyFTS.probabilistic.kde.KernelSmoothing method) ProbabilityDistribution (class in pyFTS.probabilistic.ProbabilityDistribution) process_common_data() (in module pyFTS.benchmarks.Util) process_common_data2() (in module pyFTS.benchmarks.Util) process_interval_jobs() (in module pyFTS.benchmarks.benchmarks) process_interval_jobs2() (in module pyFTS.benchmarks.benchmarks) process_point_jobs() (in module pyFTS.benchmarks.benchmarks) process_point_jobs2() (in module pyFTS.benchmarks.benchmarks) process_probabilistic_jobs() (in module pyFTS.benchmarks.benchmarks) process_probabilistic_jobs2() (in module pyFTS.benchmarks.benchmarks) product_dict() (in module pyFTS.models.multivariate.mvfts) prune() (pyFTS.models.multivariate.grid.IncrementalGridCluster method) (pyFTS.models.multivariate.partitioner.MultivariatePartitioner method) pseudologlikelihood() (pyFTS.probabilistic.ProbabilityDistribution.ProbabilityDistribution method) pwflrg_lhs_memberhip_fuzzyfied() (pyFTS.models.pwfts.ProbabilisticWeightedFTS method) pyFTS (module) pyFTS.benchmarks (module) pyFTS.benchmarks.arima (module) pyFTS.benchmarks.benchmarks (module) pyFTS.benchmarks.BSTS (module) pyFTS.benchmarks.gaussianproc (module) pyFTS.benchmarks.knn (module) pyFTS.benchmarks.Measures (module) pyFTS.benchmarks.naive (module) pyFTS.benchmarks.quantreg (module) pyFTS.benchmarks.ResidualAnalysis (module) pyFTS.benchmarks.Tests (module) pyFTS.benchmarks.Util (module) pyFTS.common (module) pyFTS.common.Composite (module) pyFTS.common.FLR (module)

pyFTS.common.flrg (module) pyFTS.common.fts (module) pyFTS.common.FuzzySet (module) pyFTS.common.Membership (module) pyFTS.common.SortedCollection (module) pyFTS.common.Transformations (module) pyFTS.common.tree (module) pyFTS.common.Util (module) pyFTS.conf (module) pyFTS.data (module) pyFTS.data.AirPassengers (module) pyFTS.data.artificial (module) pyFTS.data.Bitcoin (module) pyFTS.data.common (module) pyFTS.data.DowJones (module) pyFTS.data.Enrollments (module) pyFTS.data.Ethereum (module) pyFTS.data.EURGBP (module) pyFTS.data.EURUSD (module) pyFTS.data.GBPUSD (module) pyFTS.data.henon (module) pyFTS.data.INMET (module) pyFTS.data.logistic_map (module) pyFTS.data.lorentz (module) pyFTS.data.mackey_glass (module) pyFTS.data.Malaysia (module) pyFTS.data.NASDAQ (module) pyFTS.data.rossler (module) pyFTS.data.SONDA (module) pyFTS.data.SP500 (module) pyFTS.data.sunspots (module) pyFTS.data.TAIEX (module) pyFTS.distributed (module) pyFTS.distributed.spark (module) pyFTS.hyperparam (module) pyFTS.hyperparam.Util (module) pyFTS.models (module) pyFTS.models.chen (module) pyFTS.models.cheng (module) pyFTS.models.ensemble (module) pyFTS.models.ensemble.ensemble (module) pyFTS.models.ensemble.multiseasonal (module) pyFTS.models.hofts (module) pyFTS.models.hwang (module) pyFTS.models.ifts (module) pyFTS.models.incremental (module) pyFTS.models.incremental.IncrementalEnsemble (module) pyFTS.models.incremental.TimeVariant (module) pyFTS.models.ismailefendi (module) pyFTS.models.multivariate (module) pyFTS.models.multivariate.cmvfts (module) pyFTS.models.multivariate.common (module) pyFTS.models.multivariate.FLR (module) pyFTS.models.multivariate.flrg (module) pyFTS.models.multivariate.granular (module) pyFTS.models.multivariate.grid (module) pyFTS.models.multivariate.mvfts (module) pyFTS.models.multivariate.partitioner (module) pyFTS.models.multivariate.variable (module) pyFTS.models.multivariate.wmvfts (module) pyFTS.models.nonstationary (module) pyFTS.models.nonstationary.common (module) pyFTS.models.nonstationary.cvfts (module) pyFTS.models.nonstationary.flrg (module) pyFTS.models.nonstationary.honsfts (module) pyFTS.models.nonstationary.nsfts (module) pyFTS.models.nonstationary.partitioners (module) pyFTS.models.nonstationary.perturbation (module) pyFTS.models.nonstationary.util (module) pyFTS.models.pwfts (module) pyFTS.models.sadaei (module) pyFTS.models.seasonal (module) pyFTS.models.seasonal.cmsfts (module) pyFTS.models.seasonal.common (module) pyFTS.models.seasonal.msfts (module) pyFTS.models.seasonal.partitioner (module) pyFTS.models.seasonal.SeasonalIndexer (module) pyFTS.models.seasonal.sfts (module) pyFTS.models.song (module) pyFTS.models.yu (module) pyFTS.partitioners (module) pyFTS.partitioners.CMeans (module) pyFTS.partitioners.Entropy (module) pyFTS.partitioners.FCM (module) pyFTS.partitioners.Grid (module) pyFTS.partitioners.Huarng (module) pyFTS.partitioners.parallel_util (module) pyFTS.partitioners.partitioner (module) pyFTS.partitioners.Simple (module) pyFTS.partitioners.Singleton (module) pyFTS.partitioners.Util (module) pyFTS.probabilistic (module) pyFTS.probabilistic.kde (module) pyFTS.probabilistic.ProbabilityDistribution (module)

Q

quantile() (pyFTS.probabilistic.ProbabilityDistribution.ProbabilityDistribution method)

QuantileRegression (class in pyFTS.benchmarks.quantreg) quarter (pyFTS.models.seasonal.common.DateTime attribute)

R

random_walk() (in module pyFTS.data.artificial) remove() (pyFTS.common.SortedCollection.SortedCollection method) reset_calculated_values() (pyFTS.common.flrg.FLRG method) (pyFTS.common.fts.FTS method) residuals() (in module pyFTS.benchmarks.ResidualAnalysis) resolution() (in module pyFTS.benchmarks.Measures) Retrainer (class in pyFTS.models.incremental.TimeVariant) rhs_conditional_probability() (pyFTS.models.pwfts.ProbabilisticWeightedFLRG method) rhs_unconditional_probability() (pyFTS.models.pwfts.ProbabilisticWeightedFLRG method)

rmse() (in module pyFTS.benchmarks.Measures) rmse_interval() (in module pyFTS.benchmarks.Measures) roi() (in module pyFTS.common.Transformations) run() (pyFTS.data.artificial.SignalEmulator method) run_interval() (in module pyFTS.benchmarks.benchmarks) run_interval2() (in module pyFTS.benchmarks.benchmarks) run_point() (in module pyFTS.benchmarks.benchmarks) run_point2() (in module pyFTS.benchmarks.benchmarks) run_probabilistic() (in module pyFTS.benchmarks.benchmarks) run_probabilistic2() (in module pyFTS.benchmarks.benchmarks)

S

sampler() (in module pyFTS.models.ensemble.ensemble) save_dataframe_interval() (in module pyFTS.benchmarks.Util) save_dataframe_point() (in module pyFTS.benchmarks.Util) save_dataframe_probabilistic() (in module pyFTS.benchmarks.Util) Scale (class in pyFTS.common.Transformations) scale() (in module pyFTS.benchmarks.Util) scale_down() (pyFTS.models.nonstationary.partitioners.PolynomialNonStationaryPartitioner method) scale_params() (in module pyFTS.benchmarks.Util) scale_up() (pyFTS.models.nonstationary.partitioners.PolynomialNonStationaryPartitioner method) search() (pyFTS.models.multivariate.partitioner.MultivariatePartitioner method) (pyFTS.models.seasonal.partitioner.TimeGridPartitioner method) (pyFTS.partitioners.partitioner.Partitioner method) SeasonalEnsembleFTS (class in pyFTS.models.ensemble.multiseasonal) SeasonalFLRG (class in pyFTS.models.seasonal.sfts) SeasonalFTS (class in pyFTS.models.seasonal.sfts) SeasonalIndexer (class in pyFTS.models.seasonal.SeasonalIndexer) second_of_day (pyFTS.models.seasonal.common.DateTime attribute) second_of_hour (pyFTS.models.seasonal.common.DateTime attribute) second_of_minute (pyFTS.models.seasonal.common.DateTime attribute) SelecaoSimples_MenorRMSE() (in module pyFTS.benchmarks.benchmarks) set() (pyFTS.probabilistic.ProbabilityDistribution.ProbabilityDistribution method) set_data() (pyFTS.models.seasonal.SeasonalIndexer.DataFrameSeasonalIndexer method) (pyFTS.models.seasonal.SeasonalIndexer.DateTimeSeasonalIndexer method) set_lhs() (pyFTS.models.multivariate.FLR.FLR method) (pyFTS.models.multivariate.flrg.FLRG method) set_ordered() (in module pyFTS.common.FuzzySet) set_rhs() (pyFTS.models.multivariate.FLR.FLR method) set_target_variable() (pyFTS.models.multivariate.common.MultivariateFuzzySet method) set_transformations() (pyFTS.models.ensemble.ensemble.AllMethodEnsembleFTS method)

share_parameters() (in module pyFTS.distributed.spark) sharpness() (in module pyFTS.benchmarks.Measures) show_and_save_image() (in module pyFTS.common.Util) sigmf() (in module pyFTS.common.Membership) SignalEmulator (class in pyFTS.data.artificial) simple_synthetic_dataframe() (in module pyFTS.benchmarks.Util) SimpleEnsembleFTS (class in pyFTS.models.ensemble.ensemble) simplenonstationary_gridpartitioner_builder() (in module pyFTS.models.nonstationary.partitioners) SimpleNonStationaryPartitioner (class in pyFTS.models.nonstationary.partitioners) SimplePartitioner (class in pyFTS.partitioners.Simple) simpleSearch_RMSE() (in module pyFTS.benchmarks.benchmarks) single_plot_residuals() (in module pyFTS.benchmarks.ResidualAnalysis) singleton() (in module pyFTS.common.Membership) SingletonPartitioner (class in pyFTS.partitioners.Singleton) sixth (pyFTS.models.seasonal.common.DateTime attribute) slave_forecast_multivariate() (in module pyFTS.distributed.spark) slave_forecast_univariate() (in module pyFTS.distributed.spark) slave_train_multivariate() (in module pyFTS.distributed.spark) slave_train_univariate() (in module pyFTS.distributed.spark) sliding_window() (in module pyFTS.common.Util) sliding_window_benchmarks() (in module pyFTS.benchmarks.benchmarks) sliding_window_benchmarks2() (in module pyFTS.benchmarks.benchmarks) smape() (in module pyFTS.benchmarks.Measures) smoothing() (in module pyFTS.common.Transformations) SortedCollection (class in pyFTS.common.SortedCollection) splitAbove() (in module pyFTS.partitioners.Entropy) splitBelow() (in module pyFTS.partitioners.Entropy) stationary_gaussian() (pyFTS.data.artificial.SignalEmulator method) stats() (in module pyFTS.benchmarks.Util) strip_datepart() (in module pyFTS.models.seasonal.common)

T

tabular_dataframe_columns() (in module pyFTS.benchmarks.Util) test_mean_equality() (in module pyFTS.benchmarks.Tests) TheilsInequality() (in module pyFTS.benchmarks.Measures) third (pyFTS.models.seasonal.common.DateTime attribute) TimeGridPartitioner (class in pyFTS.models.seasonal.partitioner) train() (pyFTS.benchmarks.arima.ARIMA method) (pyFTS.benchmarks.BSTS.ARIMA method) (pyFTS.benchmarks.gaussianproc.GPR method) (pyFTS.benchmarks.knn.KNearestNeighbors method) (pyFTS.benchmarks.quantreg.QuantileRegression method) (pyFTS.common.fts.FTS method) (pyFTS.models.chen.ConventionalFTS method) (pyFTS.models.ensemble.ensemble.AllMethodEnsembleFTS method) (pyFTS.models.ensemble.ensemble.EnsembleFTS method) (pyFTS.models.ensemble.ensemble.SimpleEnsembleFTS method) (pyFTS.models.ensemble.multiseasonal.SeasonalEnsembleFTS method) (pyFTS.models.hofts.HighOrderFTS method) (pyFTS.models.hwang.HighOrderFTS method) (pyFTS.models.incremental.IncrementalEnsemble.IncrementalEnsembleFTS method) (pyFTS.models.incremental.TimeVariant.Retrainer method) (pyFTS.models.ismailefendi.ImprovedWeightedFTS method) (pyFTS.models.multivariate.cmvfts.ClusteredMVFTS method) (pyFTS.models.multivariate.granular.GranularWMVFTS method) (pyFTS.models.multivariate.mvfts.MVFTS method) (pyFTS.models.nonstationary.cvfts.ConditionalVarianceFTS method) (pyFTS.models.nonstationary.honsfts.HighOrderNonStationaryFTS method) (pyFTS.models.nonstationary.nsfts.NonStationaryFTS method) (pyFTS.models.pwfts.ProbabilisticWeightedFTS method) (pyFTS.models.sadaei.ExponentialyWeightedFTS method) (pyFTS.models.seasonal.cmsfts.ContextualMultiSeasonalFTS method) (pyFTS.models.seasonal.msfts.MultiSeasonalFTS method) (pyFTS.models.seasonal.sfts.SeasonalFTS method) (pyFTS.models.song.ConventionalFTS method) (pyFTS.models.yu.WeightedFTS method)

train_individual_model() (in module pyFTS.models.ensemble.multiseasonal) train_test_time() (in module pyFTS.benchmarks.benchmarks) transform() (pyFTS.common.Composite.FuzzySet method) (pyFTS.common.FuzzySet.FuzzySet method) (pyFTS.models.seasonal.common.FuzzySet method) Transformation (class in pyFTS.common.Transformations) trapmf() (in module pyFTS.common.Membership) TrendWeightedFLRG (class in pyFTS.models.cheng) TrendWeightedFTS (class in pyFTS.models.cheng) trimf() (in module pyFTS.common.Membership)

U

unified_scaled_interval() (in module pyFTS.benchmarks.Util) unified_scaled_interval_pinball() (in module pyFTS.benchmarks.Util) unified_scaled_point() (in module pyFTS.benchmarks.Util) unified_scaled_probabilistic() (in module pyFTS.benchmarks.Util) uniquefilename() (in module pyFTS.common.Util)

unpack_args() (pyFTS.models.nonstationary.flrg.NonStationaryFLRG method) update_model() (pyFTS.models.pwfts.ProbabilisticWeightedFTS method) update_uod() (pyFTS.models.ensemble.multiseasonal.SeasonalEnsembleFTS method) upper_set() (pyFTS.partitioners.partitioner.Partitioner method) UStatistic() (in module pyFTS.benchmarks.Measures)

V

Variable (class in pyFTS.models.multivariate.variable)

visualize_distributions() (in module pyFTS.models.pwfts)

W

WeightedFLRG (class in pyFTS.models.multivariate.wmvfts) (class in pyFTS.models.yu) WeightedFTS (class in pyFTS.models.yu) WeightedHighOrderFLRG (class in pyFTS.models.hofts) WeightedHighOrderFTS (class in pyFTS.models.hofts) WeightedIntervalFTS (class in pyFTS.models.ifts) WeightedMVFTS (class in pyFTS.models.multivariate.wmvfts) weights() (pyFTS.models.cheng.TrendWeightedFLRG method) (pyFTS.models.hofts.WeightedHighOrderFLRG method) (pyFTS.models.ismailefendi.ImprovedWeightedFLRG method) (pyFTS.models.multivariate.wmvfts.WeightedFLRG method) (pyFTS.models.sadaei.ExponentialyWeightedFLRG method) (pyFTS.models.yu.WeightedFLRG method)

white_noise() (in module pyFTS.data.artificial) window_index() (in module pyFTS.models.nonstationary.common) winkler_mean() (in module pyFTS.benchmarks.Measures) winkler_score() (in module pyFTS.benchmarks.Measures)

Y

year (pyFTS.models.seasonal.common.DateTime attribute)

Z

Z() (in module pyFTS.common.Transformations)