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.Class.ClassPartitioner method) (pyFTS.partitioners.CMeans.CMeansPartitioner method) (pyFTS.partitioners.Entropy.EntropyPartitioner method) (pyFTS.partitioners.FCM.FCMPartitioner method) (pyFTS.partitioners.Grid.GridPartitioner method) (pyFTS.partitioners.partitioner.Partitioner method) (pyFTS.partitioners.Singleton.SingletonPartitioner method) (pyFTS.partitioners.SubClust.SubClustPartitioner 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.Enrollments) (in module pyFTS.data.Ethereum) (in module pyFTS.data.EURGBP) (in module pyFTS.data.EURUSD) (in module pyFTS.data.GBPUSD) (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.Malaysia) (in module pyFTS.data.NASDAQ) (in module pyFTS.data.rossler) (in module pyFTS.data.SONDA) (in module pyFTS.data.SP500) (in module pyFTS.data.sunspots) (in module pyFTS.data.TAIEX) (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.common) (in module pyFTS.data.DowJones) (in module pyFTS.data.Enrollments) (in module pyFTS.data.Ethereum) (in module pyFTS.data.EURGBP) (in module pyFTS.data.EURUSD) (in module pyFTS.data.GBPUSD) (in module pyFTS.data.henon) (in module pyFTS.data.INMET) (in module pyFTS.data.lorentz) (in module pyFTS.data.Malaysia) (in module pyFTS.data.NASDAQ) (in module pyFTS.data.rossler) (in module pyFTS.data.SONDA) (in module pyFTS.data.SP500) (in module pyFTS.data.sunspots) (in module pyFTS.data.TAIEX)

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 property)

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) module pyFTS pyFTS.benchmarks pyFTS.common pyFTS.common.Activations pyFTS.common.Composite pyFTS.common.FLR pyFTS.common.flrg pyFTS.common.FuzzySet pyFTS.common.Membership pyFTS.common.SortedCollection pyFTS.common.transformations pyFTS.common.transformations.boxcox pyFTS.common.transformations.differential pyFTS.common.transformations.normalization pyFTS.common.transformations.roi pyFTS.common.transformations.scale pyFTS.common.transformations.smoothing pyFTS.common.transformations.som pyFTS.common.transformations.transformation pyFTS.common.tree pyFTS.conf pyFTS.data pyFTS.data.AirPassengers pyFTS.data.artificial pyFTS.data.Bitcoin pyFTS.data.common pyFTS.data.DowJones pyFTS.data.Enrollments pyFTS.data.Ethereum pyFTS.data.EURGBP pyFTS.data.EURUSD pyFTS.data.GBPUSD pyFTS.data.henon pyFTS.data.INMET pyFTS.data.logistic_map pyFTS.data.lorentz pyFTS.data.mackey_glass pyFTS.data.Malaysia pyFTS.data.NASDAQ pyFTS.data.rossler pyFTS.data.SONDA pyFTS.data.SP500 pyFTS.data.sunspots pyFTS.data.TAIEX pyFTS.distributed pyFTS.hyperparam pyFTS.hyperparam.Util pyFTS.models pyFTS.models.ensemble pyFTS.models.incremental pyFTS.models.multivariate pyFTS.models.multivariate.common pyFTS.models.multivariate.FLR pyFTS.models.multivariate.flrg pyFTS.models.multivariate.grid pyFTS.models.multivariate.partitioner pyFTS.models.nonstationary pyFTS.models.nonstationary.common pyFTS.models.nonstationary.flrg pyFTS.models.nonstationary.partitioners pyFTS.models.nonstationary.perturbation pyFTS.models.seasonal pyFTS.models.seasonal.common pyFTS.models.seasonal.partitioner pyFTS.models.seasonal.SeasonalIndexer pyFTS.partitioners pyFTS.partitioners.Class pyFTS.partitioners.CMeans pyFTS.partitioners.Entropy pyFTS.partitioners.FCM pyFTS.partitioners.Grid pyFTS.partitioners.partitioner pyFTS.partitioners.Simple pyFTS.partitioners.Singleton pyFTS.partitioners.SubClust pyFTS.probabilistic

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 property) (pyFTS.common.transformations.differential.Differential property) (pyFTS.common.transformations.scale.Scale property) 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)