Index

A

alpha (pyFTS.common.FuzzySet.FuzzySet attribute) append() (pyFTS.common.Composite.FuzzySet method) (pyFTS.models.multivariate.partitioner.MultivariatePartitioner method) (pyFTS.partitioners.Simple.SimplePartitioner method) append_complex() (pyFTS.partitioners.Simple.SimplePartitioner method) append_rhs() (pyFTS.common.flrg.FLRG method) (pyFTS.models.multivariate.flrg.FLRG method) append_set() (pyFTS.common.Composite.FuzzySet method) (pyFTS.models.multivariate.common.MultivariateFuzzySet method) appendChild() (pyFTS.common.tree.FLRGTreeNode method) apply() (pyFTS.common.transformations.boxcox.BoxCox method) (pyFTS.common.transformations.differential.Differential method) (pyFTS.common.transformations.normalization.Normalization method) (pyFTS.common.transformations.roi.ROI method) (pyFTS.common.transformations.scale.Scale method) (pyFTS.common.transformations.smoothing.AveragePooling method) (pyFTS.common.transformations.smoothing.ExponentialSmoothing method) (pyFTS.common.transformations.smoothing.MaxPooling method) (pyFTS.common.transformations.smoothing.MovingAverage method) (pyFTS.common.transformations.som.SOMTransformation method) (pyFTS.common.transformations.transformation.Transformation method)

argmax() (in module pyFTS.common.Activations) around() (pyFTS.common.SortedCollection.SortedCollection method) AveragePooling (class in pyFTS.common.transformations.smoothing)

B

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.boxcox) build() (pyFTS.models.multivariate.grid.GridCluster method) (pyFTS.models.multivariate.partitioner.MultivariatePartitioner 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.Class.ClassPartitioner method) (pyFTS.partitioners.Entropy.EntropyPartitioner method) (pyFTS.partitioners.FCM.FCMPartitioner method) (pyFTS.partitioners.Grid.GridPartitioner method) (pyFTS.partitioners.Singleton.SingletonPartitioner method) (pyFTS.partitioners.SubClust.SubClustPartitioner method) (pyFTS.partitioners.partitioner.Partitioner 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) centroid (pyFTS.common.FuzzySet.FuzzySet attribute) 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)

ClassPartitioner (class in pyFTS.partitioners.Class) clear() (pyFTS.common.SortedCollection.SortedCollection method) CMeansPartitioner (class in pyFTS.partitioners.CMeans) components (pyFTS.data.artificial.SignalEmulator attribute) copy() (pyFTS.common.SortedCollection.SortedCollection method) count() (pyFTS.common.SortedCollection.SortedCollection method) create_hyperparam_tables() (in module pyFTS.hyperparam.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) Differential (class in pyFTS.common.transformations.differential) distance() (in module pyFTS.partitioners.CMeans)

E

entropy() (in module pyFTS.partitioners.Entropy) EntropyPartitioner (class in pyFTS.partitioners.Entropy) exponential() (in module pyFTS.models.nonstationary.perturbation)

ExponentialSmoothing (class in pyFTS.common.transformations.smoothing) 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_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) flat() (in module pyFTS.common.tree) FLR (class in pyFTS.common.FLR) (class in pyFTS.models.multivariate.FLR) FLRG (class in pyFTS.common.flrg) (class in pyFTS.models.multivariate.flrg) FLRGTree (class in pyFTS.common.tree) FLRGTreeNode (class in pyFTS.common.tree) format_data() (pyFTS.models.multivariate.partitioner.MultivariatePartitioner method) fuzzify() (in module pyFTS.models.nonstationary.common) fuzzy_cmeans() (in module pyFTS.partitioners.FCM)

fuzzy_distance() (in module pyFTS.partitioners.FCM) fuzzyfy() (in module pyFTS.common.FuzzySet) (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_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_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_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_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_key() (pyFTS.common.flrg.FLRG method) (pyFTS.models.nonstationary.flrg.NonStationaryFLRG method) get_lower() (pyFTS.common.flrg.FLRG method) (pyFTS.models.multivariate.flrg.FLRG method) (pyFTS.models.nonstationary.common.FuzzySet method) (pyFTS.models.nonstationary.flrg.NonStationaryFLRG 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) get_midpoint() (pyFTS.common.flrg.FLRG method) (pyFTS.models.nonstationary.common.FuzzySet method) (pyFTS.models.nonstationary.flrg.NonStationaryFLRG method) get_midpoints() (pyFTS.common.flrg.FLRG method) get_name() (pyFTS.partitioners.partitioner.Partitioner method) get_polynomial_perturbations() (pyFTS.models.nonstationary.partitioners.PolynomialNonStationaryPartitioner method) 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_upper() (pyFTS.common.flrg.FLRG method) (pyFTS.models.multivariate.flrg.FLRG method) (pyFTS.models.nonstationary.common.FuzzySet method) (pyFTS.models.nonstationary.flrg.NonStationaryFLRG method) getChildren() (pyFTS.common.tree.FLRGTreeNode method) getStr() (pyFTS.common.tree.FLRGTreeNode method) grant_bounds() (in module pyFTS.common.FuzzySet) GridCluster (class in pyFTS.models.multivariate.grid) GridPartitioner (class in pyFTS.partitioners.Grid)

H

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

I

imax() (in module pyFTS.partitioners.SubClust) incremental_gaussian() (pyFTS.data.artificial.SignalEmulator method) incremental_search() (pyFTS.models.multivariate.grid.IncrementalGridCluster method) IncrementalGridCluster (class in pyFTS.models.multivariate.grid) index (pyFTS.common.FLR.IndexedFLR attribute) index() (pyFTS.common.SortedCollection.SortedCollection method) IndexedFLR (class in pyFTS.common.FLR) informationGain() (in module pyFTS.partitioners.Entropy) insert() (pyFTS.common.SortedCollection.SortedCollection method) insert_hyperparam() (in module pyFTS.hyperparam.Util) insert_right() (pyFTS.common.SortedCollection.SortedCollection method)

inside() (pyFTS.common.SortedCollection.SortedCollection method) inverse() (pyFTS.common.transformations.boxcox.BoxCox method) (pyFTS.common.transformations.differential.Differential method) (pyFTS.common.transformations.normalization.Normalization method) (pyFTS.common.transformations.roi.ROI method) (pyFTS.common.transformations.scale.Scale method) (pyFTS.common.transformations.smoothing.AveragePooling method) (pyFTS.common.transformations.smoothing.ExponentialSmoothing method) (pyFTS.common.transformations.smoothing.MaxPooling method) (pyFTS.common.transformations.smoothing.MovingAverage method) (pyFTS.common.transformations.transformation.Transformation method) is_multivariate (pyFTS.common.transformations.transformation.Transformation attribute)

K

kdtree (pyFTS.partitioners.partitioner.Partitioner attribute)

key (pyFTS.common.SortedCollection.SortedCollection attribute)

L

LHS (pyFTS.common.FLR.FLR attribute) (pyFTS.common.flrg.FLRG attribute) linear() (in module pyFTS.models.nonstationary.perturbation) LinearSeasonalIndexer (class in pyFTS.models.seasonal.SeasonalIndexer)

location (pyFTS.models.nonstationary.common.FuzzySet attribute) location_params (pyFTS.models.nonstationary.common.FuzzySet attribute) lower_margin (pyFTS.partitioners.partitioner.Partitioner attribute) lower_set() (pyFTS.partitioners.partitioner.Partitioner method)

M

margin (pyFTS.partitioners.partitioner.Partitioner attribute) mask (pyFTS.models.seasonal.partitioner.TimeGridPartitioner attribute) MaxPooling (class in pyFTS.common.transformations.smoothing) 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) membership_function (pyFTS.partitioners.partitioner.Partitioner attribute) mf (pyFTS.common.FuzzySet.FuzzySet attribute)

minute (pyFTS.models.seasonal.common.DateTime 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) month (pyFTS.models.seasonal.common.DateTime attribute) MovingAverage (class in pyFTS.common.transformations.smoothing) MultivariateFuzzySet (class in pyFTS.models.multivariate.common) MultivariatePartitioner (class in pyFTS.models.multivariate.partitioner)

N

name (pyFTS.common.FuzzySet.FuzzySet 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) Normalization (class in pyFTS.common.transformations.normalization)

O

open_hyperparam_db() (in module pyFTS.hyperparam.Util)

order (pyFTS.common.flrg.FLRG attribute) ordered_sets (pyFTS.partitioners.partitioner.Partitioner attribute)

P

parameters (pyFTS.common.FuzzySet.FuzzySet attribute) (pyFTS.common.transformations.boxcox.BoxCox attribute) (pyFTS.common.transformations.differential.Differential attribute) (pyFTS.common.transformations.scale.Scale attribute) partition_function() (pyFTS.common.FuzzySet.FuzzySet method) Partitioner (class in pyFTS.partitioners.partitioner) 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) periodic_gaussian() (pyFTS.data.artificial.SignalEmulator method) perturbate_parameters() (pyFTS.models.nonstationary.common.FuzzySet method) plot() (pyFTS.models.seasonal.partitioner.TimeGridPartitioner method) (pyFTS.partitioners.partitioner.Partitioner method) plot_set() (pyFTS.partitioners.partitioner.Partitioner method) PMF() (in module pyFTS.partitioners.Entropy) poly_width() (pyFTS.models.nonstationary.partitioners.PolynomialNonStationaryPartitioner method) polynomial() (in module pyFTS.models.nonstationary.perturbation) PolynomialNonStationaryPartitioner (class in pyFTS.models.nonstationary.partitioners) prefix (pyFTS.partitioners.partitioner.Partitioner attribute) PreFixedGridPartitioner (class in pyFTS.partitioners.Grid) prune() (pyFTS.models.multivariate.grid.IncrementalGridCluster method) (pyFTS.models.multivariate.partitioner.MultivariatePartitioner method) pyFTS (module) pyFTS.benchmarks (module) pyFTS.common (module) pyFTS.common.Activations (module) pyFTS.common.Composite (module) pyFTS.common.FLR (module) pyFTS.common.flrg (module) pyFTS.common.FuzzySet (module) pyFTS.common.Membership (module) pyFTS.common.SortedCollection (module) pyFTS.common.transformations (module) pyFTS.common.transformations.boxcox (module) pyFTS.common.transformations.differential (module) pyFTS.common.transformations.normalization (module) pyFTS.common.transformations.roi (module) pyFTS.common.transformations.scale (module) pyFTS.common.transformations.smoothing (module) pyFTS.common.transformations.som (module) pyFTS.common.transformations.transformation (module) pyFTS.common.tree (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.hyperparam (module) pyFTS.hyperparam.Util (module) pyFTS.models (module) pyFTS.models.ensemble (module) pyFTS.models.incremental (module) pyFTS.models.multivariate (module) pyFTS.models.multivariate.common (module) pyFTS.models.multivariate.FLR (module) pyFTS.models.multivariate.flrg (module) pyFTS.models.multivariate.grid (module) pyFTS.models.multivariate.partitioner (module) pyFTS.models.nonstationary (module) pyFTS.models.nonstationary.common (module) pyFTS.models.nonstationary.flrg (module) pyFTS.models.nonstationary.partitioners (module) pyFTS.models.nonstationary.perturbation (module) pyFTS.models.seasonal (module) pyFTS.models.seasonal.common (module) pyFTS.models.seasonal.partitioner (module) pyFTS.models.seasonal.SeasonalIndexer (module) pyFTS.partitioners (module) pyFTS.partitioners.Class (module) pyFTS.partitioners.CMeans (module) pyFTS.partitioners.Entropy (module) pyFTS.partitioners.FCM (module) pyFTS.partitioners.Grid (module) pyFTS.partitioners.partitioner (module) pyFTS.partitioners.Simple (module) pyFTS.partitioners.Singleton (module) pyFTS.partitioners.SubClust (module) pyFTS.probabilistic (module)

Q

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)

RHS (pyFTS.common.FLR.FLR attribute) (pyFTS.common.flrg.FLRG attribute) ROI (class in pyFTS.common.transformations.roi) run() (pyFTS.data.artificial.SignalEmulator method)

S

save_net() (pyFTS.common.transformations.som.SOMTransformation method) Scale (class in pyFTS.common.transformations.scale) scale() (in module pyFTS.common.Activations) scale_down() (pyFTS.models.nonstationary.partitioners.PolynomialNonStationaryPartitioner method) 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) season (pyFTS.models.seasonal.partitioner.TimeGridPartitioner attribute) 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) 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) setnames (pyFTS.partitioners.partitioner.Partitioner attribute) sets (pyFTS.partitioners.partitioner.Partitioner attribute) show_grid() (pyFTS.common.transformations.som.SOMTransformation method) sigmf() (in module pyFTS.common.Membership) SignalEmulator (class in pyFTS.data.artificial) simplenonstationary_gridpartitioner_builder() (in module pyFTS.models.nonstationary.partitioners) SimpleNonStationaryPartitioner (class in pyFTS.models.nonstationary.partitioners) SimplePartitioner (class in pyFTS.partitioners.Simple) singleton() (in module pyFTS.common.Membership) SingletonPartitioner (class in pyFTS.partitioners.Singleton) sixth (pyFTS.models.seasonal.common.DateTime attribute) softmax() (in module pyFTS.common.Activations) SOMTransformation (class in pyFTS.common.transformations.som) 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) strip_datepart() (in module pyFTS.models.seasonal.common) subclust() (in module pyFTS.partitioners.SubClust) SubClustPartitioner (class in pyFTS.partitioners.SubClust)

T

third (pyFTS.models.seasonal.common.DateTime attribute) TimeGridPartitioner (class in pyFTS.models.seasonal.partitioner) train() (pyFTS.common.transformations.normalization.Normalization method) (pyFTS.common.transformations.som.SOMTransformation method) transform() (pyFTS.common.Composite.FuzzySet method) (pyFTS.common.FuzzySet.FuzzySet method) (pyFTS.models.seasonal.common.FuzzySet method)

Transformation (class in pyFTS.common.transformations.transformation) transformation (pyFTS.partitioners.partitioner.Partitioner attribute) trapmf() (in module pyFTS.common.Membership) trimf() (in module pyFTS.common.Membership) type (pyFTS.common.FuzzySet.FuzzySet attribute) (pyFTS.partitioners.partitioner.Partitioner attribute)

U

unpack_args() (pyFTS.models.nonstationary.flrg.NonStationaryFLRG method)

upper_margin (pyFTS.partitioners.partitioner.Partitioner attribute) upper_set() (pyFTS.partitioners.partitioner.Partitioner method)

V

variable (pyFTS.common.FuzzySet.FuzzySet attribute) (pyFTS.partitioners.partitioner.Partitioner attribute)

W

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)

Y

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

Z

Z (pyFTS.common.FuzzySet.FuzzySet attribute)