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) alias (pyFTS.models.multivariate.variable.Variable attribute) AllMethodEnsembleFTS (class in pyFTS.models.ensemble.ensemble) alpha (pyFTS.common.FuzzySet.FuzzySet attribute) alpha_cut (pyFTS.common.fts.FTS attribute) analytic_tabular_dataframe() (in module pyFTS.benchmarks.Util) analytical_data_columns() (in module pyFTS.benchmarks.Util) append() (pyFTS.common.Composite.FuzzySet method) (pyFTS.probabilistic.ProbabilityDistribution.ProbabilityDistribution method) append_interval() (pyFTS.probabilistic.ProbabilityDistribution.ProbabilityDistribution method) append_lhs() (pyFTS.models.hofts.HighOrderFLRG method) (pyFTS.models.nonstationary.cvfts.HighOrderNonstationaryFLRG method) (pyFTS.models.nonstationary.honsfts.HighOrderNonStationaryFLRG 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.ismailefendi.ImprovedWeightedFLRG method) (pyFTS.models.multivariate.flrg.FLRG 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_set() (pyFTS.common.Composite.FuzzySet 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) around() (pyFTS.common.SortedCollection.SortedCollection method) auto_update (pyFTS.common.fts.FTS attribute) averageloglikelihood() (pyFTS.probabilistic.ProbabilityDistribution.ProbabilityDistribution method)

B

base_dataframe_columns() (in module pyFTS.benchmarks.Util) bellmf() (in module pyFTS.common.Membership) benchmark_only (pyFTS.common.fts.FTS attribute) bestSplit() (in module pyFTS.partitioners.Entropy) between() (pyFTS.common.SortedCollection.SortedCollection method) bins (pyFTS.probabilistic.ProbabilityDistribution.ProbabilityDistribution attribute) BoxCox (class in pyFTS.common.Transformations) BoxLjungStatistic() (in module pyFTS.benchmarks.Measures) BoxPierceStatistic() (in module pyFTS.benchmarks.Measures) brier_score() (in module pyFTS.benchmarks.Measures) build() (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_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) centroid (pyFTS.common.FuzzySet.FuzzySet attribute) check_bounds() (in module pyFTS.common.FuzzySet) (in module pyFTS.models.nonstationary.common) check_bounds_index() (in module pyFTS.common.FuzzySet) (in module pyFTS.models.nonstationary.common) check_ignore_list() (in module pyFTS.benchmarks.Util) check_replace_list() (in module pyFTS.benchmarks.Util) chi_squared() (in module pyFTS.benchmarks.ResidualAnalysis) clear() (pyFTS.common.SortedCollection.SortedCollection method) clone_parameters() (pyFTS.common.fts.FTS method) (pyFTS.models.multivariate.mvfts.MVFTS method) CMeansPartitioner (class in pyFTS.partitioners.CMeans) 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) crossentropy() (pyFTS.probabilistic.ProbabilityDistribution.ProbabilityDistribution method) crps() (in module pyFTS.benchmarks.Measures) cummulative() (pyFTS.probabilistic.ProbabilityDistribution.ProbabilityDistribution method) current_milli_time() (in module pyFTS.common.Util)

D

data_label (pyFTS.models.multivariate.variable.Variable attribute) 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)

density() (pyFTS.probabilistic.ProbabilityDistribution.ProbabilityDistribution method) detail (pyFTS.common.fts.FTS attribute) Differential (class in pyFTS.common.Transformations) differential_offset() (pyFTS.probabilistic.ProbabilityDistribution.ProbabilityDistribution method) distance() (in module pyFTS.partitioners.CMeans) distributed_predict() (in module pyFTS.common.Util) distributed_train() (in module pyFTS.common.Util) 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)

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_unconditional_probability() (pyFTS.models.pwfts.ProbabilisticWeightedFTS method) flrg_rhs_conditional_probability() (pyFTS.models.pwfts.ProbabilisticWeightedFTS method) flrgs (pyFTS.common.fts.FTS attribute) FLRGTree (class in pyFTS.common.tree) FLRGTreeNode (class in pyFTS.common.tree) forecast() (pyFTS.benchmarks.arima.ARIMA 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.ismailefendi.ImprovedWeightedFTS 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.common.fts.FTS 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.quantreg.QuantileRegression method) (pyFTS.common.fts.FTS method) (pyFTS.models.ensemble.ensemble.EnsembleFTS method) (pyFTS.models.pwfts.ProbabilisticWeightedFTS method) forecast_ahead_interval() (pyFTS.benchmarks.arima.ARIMA method) (pyFTS.benchmarks.quantreg.QuantileRegression method) (pyFTS.common.fts.FTS method) (pyFTS.models.ensemble.ensemble.EnsembleFTS method) (pyFTS.models.pwfts.ProbabilisticWeightedFTS method) forecast_distribution() (pyFTS.benchmarks.arima.ARIMA 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.pwfts.ProbabilisticWeightedFTS method) forecast_interval() (pyFTS.benchmarks.arima.ARIMA method) (pyFTS.benchmarks.quantreg.QuantileRegression method) (pyFTS.common.fts.FTS method) (pyFTS.models.ensemble.ensemble.EnsembleFTS method) (pyFTS.models.ifts.IntervalFTS method) (pyFTS.models.nonstationary.cvfts.ConditionalVarianceFTS method) (pyFTS.models.nonstationary.honsfts.HighOrderNonStationaryFTS method) (pyFTS.models.nonstationary.nsfts.NonStationaryFTS method) (pyFTS.models.pwfts.ProbabilisticWeightedFTS method) format_data() (pyFTS.models.multivariate.mvfts.MVFTS method) 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) fuzzyfy_instance() (in module pyFTS.common.FuzzySet) (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.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_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_flrs() (pyFTS.models.multivariate.mvfts.MVFTS method) generate_non_recurrent_flrs() (in module pyFTS.common.FLR) generate_recurrent_flrs() (in module pyFTS.common.FLR) 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_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.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.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_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_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.ifts.IntervalFTS 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.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_point() (pyFTS.models.ensemble.ensemble.EnsembleFTS method) get_point_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) get_UoD() (pyFTS.common.fts.FTS method) get_upper() (pyFTS.common.flrg.FLRG method) (pyFTS.models.ifts.IntervalFTS method) (pyFTS.models.nonstationary.common.FuzzySet method) (pyFTS.models.nonstationary.flrg.NonStationaryFLRG method) (pyFTS.models.pwfts.ProbabilisticWeightedFLRG method) (pyFTS.models.pwfts.ProbabilisticWeightedFTS method) getChildren() (pyFTS.common.tree.FLRGTreeNode method) getStr() (pyFTS.common.tree.FLRGTreeNode method) grant_bounds() (in module pyFTS.common.FuzzySet) GridPartitioner (class in pyFTS.partitioners.Grid)

H

h (pyFTS.probabilistic.kde.KernelSmoothing attribute) has_interval_forecasting (pyFTS.common.fts.FTS attribute) has_point_forecasting (pyFTS.common.fts.FTS attribute) has_probability_forecasting (pyFTS.common.fts.FTS attribute) has_seasonality (pyFTS.common.fts.FTS attribute) heavyside() (in module pyFTS.benchmarks.Measures) heavyside_cdf() (in module pyFTS.benchmarks.Measures) 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_day (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) index (pyFTS.common.FLR.IndexedFLR attribute) index() (pyFTS.common.SortedCollection.SortedCollection method) IndexedFLR (class in pyFTS.common.FLR) indexer (pyFTS.common.fts.FTS attribute) informationGain() (in module pyFTS.partitioners.Entropy) insert() (pyFTS.common.SortedCollection.SortedCollection method) insert_benchmark() (in module pyFTS.benchmarks.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) is_high_order (pyFTS.common.fts.FTS attribute) is_multivariate (pyFTS.common.fts.FTS attribute)

K

kernel (pyFTS.probabilistic.kde.KernelSmoothing attribute) 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

labels (pyFTS.probabilistic.ProbabilityDistribution.ProbabilityDistribution attribute) len_total() (pyFTS.common.fts.FTS method) LHS (pyFTS.common.FLR.FLR attribute) (pyFTS.common.flrg.FLRG attribute) lhs_conditional_probability() (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) load_env() (in module pyFTS.common.Util) load_obj() (in module pyFTS.common.Util) location (pyFTS.models.nonstationary.common.FuzzySet attribute) location_params (pyFTS.models.nonstationary.common.FuzzySet attribute) 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) max_lag (pyFTS.common.fts.FTS attribute) membership() (in module pyFTS.partitioners.FCM) (pyFTS.common.Composite.FuzzySet method) (pyFTS.common.FuzzySet.FuzzySet method) (pyFTS.models.nonstationary.common.FuzzySet method) (pyFTS.models.seasonal.common.FuzzySet method) membership_function (pyFTS.partitioners.partitioner.Partitioner attribute) merge() (pyFTS.common.fts.FTS method)

mf (pyFTS.common.FuzzySet.FuzzySet attribute) min_order (pyFTS.common.fts.FTS attribute) minute_of_day (pyFTS.models.seasonal.common.DateTime attribute) minute_of_hour (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) models (pyFTS.models.ensemble.ensemble.EnsembleFTS attribute) month (pyFTS.models.seasonal.common.DateTime attribute) MultiSeasonalFTS (class in pyFTS.models.seasonal.msfts) MVFTS (class in pyFTS.models.multivariate.mvfts)

N

Naive (class in pyFTS.benchmarks.naive) name (pyFTS.common.fts.FTS attribute) (pyFTS.common.FuzzySet.FuzzySet attribute) (pyFTS.models.multivariate.variable.Variable attribute) (pyFTS.partitioners.partitioner.Partitioner attribute)

noise (pyFTS.models.nonstationary.common.FuzzySet attribute) noise_params (pyFTS.models.nonstationary.common.FuzzySet attribute) NonStationaryFLRG (class in pyFTS.models.nonstationary.flrg) NonStationaryFTS (class in pyFTS.models.nonstationary.nsfts)

O

open_benchmark_db() (in module pyFTS.benchmarks.Util) operation_matrix() (pyFTS.models.song.ConventionalFTS method) order (pyFTS.common.flrg.FLRG attribute) (pyFTS.common.fts.FTS attribute)

original_max (pyFTS.common.fts.FTS attribute) original_min (pyFTS.common.fts.FTS attribute)

P

parameters (pyFTS.common.FuzzySet.FuzzySet attribute) (pyFTS.common.Transformations.AdaptiveExpectation attribute) (pyFTS.common.Transformations.BoxCox attribute) (pyFTS.common.Transformations.Differential attribute) (pyFTS.common.Transformations.Scale attribute) (pyFTS.models.ensemble.ensemble.EnsembleFTS attribute) partition_function() (pyFTS.common.FuzzySet.FuzzySet method) (pyFTS.models.pwfts.ProbabilisticWeightedFLRG method) Partitioner (class in pyFTS.partitioners.partitioner) partitioner (pyFTS.common.fts.FTS attribute) partitions (pyFTS.partitioners.partitioner.Partitioner attribute) 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) 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.benchmarks.benchmarks) 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.benchmarks.benchmarks) plot_distribution() (in module pyFTS.benchmarks.benchmarks) plot_interval() (in module pyFTS.benchmarks.benchmarks) plot_partitioners() (in module pyFTS.partitioners.Util) plot_point() (in module pyFTS.benchmarks.benchmarks) plot_probability_distributions() (in module pyFTS.benchmarks.benchmarks) plot_residuals() (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) plotResiduals() (in module pyFTS.benchmarks.ResidualAnalysis) PMF() (in module pyFTS.partitioners.Entropy) pmf_to_cdf() (in module pyFTS.benchmarks.Measures) 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) predict() (pyFTS.common.fts.FTS method) prefix (pyFTS.partitioners.partitioner.Partitioner attribute) 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_interval_jobs() (in module pyFTS.benchmarks.benchmarks) process_point_jobs() (in module pyFTS.benchmarks.benchmarks) process_probabilistic_jobs() (in module pyFTS.benchmarks.benchmarks) pseudologlikelihood() (pyFTS.probabilistic.ProbabilityDistribution.ProbabilityDistribution method) pyFTS (module) pyFTS.benchmarks (module) pyFTS.benchmarks.arima (module) pyFTS.benchmarks.benchmarks (module) pyFTS.benchmarks.knn (module) pyFTS.benchmarks.Measures (module) pyFTS.benchmarks.naive (module) pyFTS.benchmarks.quantreg (module) pyFTS.benchmarks.ResidualAnalysis (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.NASDAQ (module) pyFTS.data.rossler (module) pyFTS.data.SONDA (module) pyFTS.data.SP500 (module) pyFTS.data.sunspots (module) pyFTS.data.TAIEX (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.ismailefendi (module) pyFTS.models.multivariate (module) pyFTS.models.multivariate.common (module) pyFTS.models.multivariate.FLR (module) pyFTS.models.multivariate.flrg (module) pyFTS.models.multivariate.mvfts (module) pyFTS.models.multivariate.variable (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.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)

R

random_walk() (in module pyFTS.data.artificial) remove() (pyFTS.common.SortedCollection.SortedCollection method) residuals() (in module pyFTS.benchmarks.ResidualAnalysis) resolution() (in module pyFTS.benchmarks.Measures) RHS (pyFTS.common.FLR.FLR attribute) (pyFTS.common.flrg.FLRG attribute) 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_interval() (in module pyFTS.benchmarks.benchmarks) run_point() (in module pyFTS.benchmarks.benchmarks) run_probabilistic() (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) 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 (pyFTS.models.seasonal.common.DateTime attribute) 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_transformations() (pyFTS.models.ensemble.ensemble.AllMethodEnsembleFTS method) setnames (pyFTS.partitioners.partitioner.Partitioner attribute) sets (pyFTS.common.fts.FTS attribute) sharpness() (in module pyFTS.benchmarks.Measures) shortname (pyFTS.common.fts.FTS attribute) show_and_save_image() (in module pyFTS.common.Util) sigmf() (in module pyFTS.common.Membership) simple_model_predict() (in module pyFTS.common.Util) simple_model_train() (in module pyFTS.common.Util) simplenonstationary_gridpartitioner_builder() (in module pyFTS.models.nonstationary.partitioners) SimpleNonStationaryPartitioner (class in pyFTS.models.nonstationary.partitioners) 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) sliding_window() (in module pyFTS.common.Util) sliding_window_benchmarks() (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) start_dispy_cluster() (in module pyFTS.common.Util) stats() (in module pyFTS.benchmarks.Util) stop_dispy_cluster() (in module pyFTS.common.Util) strip_datepart() (in module pyFTS.models.seasonal.common)

T

tabular_dataframe_columns() (in module pyFTS.benchmarks.Util) TheilsInequality() (in module pyFTS.benchmarks.Measures) TimeGridPartitioner (class in pyFTS.models.seasonal.partitioner) train() (pyFTS.benchmarks.arima.ARIMA 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.multiseasonal.SeasonalEnsembleFTS method) (pyFTS.models.hofts.HighOrderFTS method) (pyFTS.models.hwang.HighOrderFTS method) (pyFTS.models.ismailefendi.ImprovedWeightedFTS 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) Transformation (class in pyFTS.common.Transformations) transformation (pyFTS.partitioners.partitioner.Partitioner attribute) transformations (pyFTS.common.fts.FTS attribute) transformations_param (pyFTS.common.fts.FTS attribute) trapmf() (in module pyFTS.common.Membership) TrendWeightedFLRG (class in pyFTS.models.cheng) TrendWeightedFTS (class in pyFTS.models.cheng) trimf() (in module pyFTS.common.Membership) type (pyFTS.common.FuzzySet.FuzzySet attribute) (pyFTS.probabilistic.ProbabilityDistribution.ProbabilityDistribution attribute)

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)

uod (pyFTS.probabilistic.ProbabilityDistribution.ProbabilityDistribution attribute) uod_clip (pyFTS.common.fts.FTS attribute) 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)

variable (pyFTS.common.FuzzySet.FuzzySet attribute) visualize_distributions() (in module pyFTS.models.pwfts)

W

WeightedFLRG (class in pyFTS.models.yu) WeightedFTS (class in pyFTS.models.yu) weights() (pyFTS.models.cheng.TrendWeightedFLRG method) (pyFTS.models.ismailefendi.ImprovedWeightedFLRG method) (pyFTS.models.sadaei.ExponentialyWeightedFLRG method) (pyFTS.models.yu.WeightedFLRG method)

white_noise() (in module pyFTS.data.artificial) width (pyFTS.models.nonstationary.common.FuzzySet attribute) width_params (pyFTS.models.nonstationary.common.FuzzySet attribute) 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 (pyFTS.common.FuzzySet.FuzzySet attribute)

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