2018, Machine Intelligence and Data Science Laboratory - UFMG - Brazil

Machine Intelligence and Data Science Laboratory - UFMG - Brazil

SelecaoSimples_MenorRMSE() (in module pyFTS.benchmarks.benchmarks)

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)

distributed_model_train_test_time() (in module pyFTS.benchmarks.benchmarks)

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_point_multivariate_methods() (in module pyFTS.benchmarks.benchmarks)

get_probabilistic_methods() (in module pyFTS.benchmarks.benchmarks)

multivariate_sliding_window_benchmarks2() (in module pyFTS.benchmarks.benchmarks)

pftsExploreOrderAndPartitions() (in module pyFTS.benchmarks.benchmarks)

print_distribution_statistics() (in module pyFTS.benchmarks.benchmarks)

print_interval_statistics() (in module pyFTS.benchmarks.benchmarks)

print_point_statistics() (in module pyFTS.benchmarks.benchmarks)

process_interval_jobs2() (in module pyFTS.benchmarks.benchmarks)

process_probabilistic_jobs() (in module pyFTS.benchmarks.benchmarks)

process_probabilistic_jobs2() (in module pyFTS.benchmarks.benchmarks)

sliding_window_benchmarks() (in module pyFTS.benchmarks.benchmarks)

sliding_window_benchmarks2() (in module pyFTS.benchmarks.benchmarks)

get_distribution_ahead_statistics() (in module pyFTS.benchmarks.Measures)

get_distribution_statistics() (in module pyFTS.benchmarks.Measures)

get_interval_ahead_statistics() (in module pyFTS.benchmarks.Measures)

get_point_ahead_statistics() (in module pyFTS.benchmarks.Measures)

compare_residuals() (in module pyFTS.benchmarks.ResidualAnalysis)

plot_residuals_by_model() (in module pyFTS.benchmarks.ResidualAnalysis)

single_plot_residuals() (in module pyFTS.benchmarks.ResidualAnalysis)

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)

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

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

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

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

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

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

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

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

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

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

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

forecast_ahead_distribution() (pyFTS.benchmarks.arima.ARIMA method)

forecast_ahead_distribution() (pyFTS.benchmarks.knn.KNearestNeighbors method)

forecast_ahead_interval() (pyFTS.benchmarks.knn.KNearestNeighbors method)

forecast_distribution() (pyFTS.benchmarks.knn.KNearestNeighbors method)

forecast_interval() (pyFTS.benchmarks.knn.KNearestNeighbors method)

forecast() (pyFTS.benchmarks.quantreg.QuantileRegression method)

forecast_ahead_interval() (pyFTS.benchmarks.quantreg.QuantileRegression method)

forecast_distribution() (pyFTS.benchmarks.quantreg.QuantileRegression method)

forecast_interval() (pyFTS.benchmarks.quantreg.QuantileRegression method)

interval_to_interval() (pyFTS.benchmarks.quantreg.QuantileRegression method)

linearmodel() (pyFTS.benchmarks.quantreg.QuantileRegression method)

point_to_interval() (pyFTS.benchmarks.quantreg.QuantileRegression method)

forecast_ahead_distribution() (pyFTS.benchmarks.gaussianproc.GPR method)

forecast_ahead_interval() (pyFTS.benchmarks.gaussianproc.GPR method)

forecast_distribution() (pyFTS.benchmarks.gaussianproc.GPR method)

forecast_ahead_distribution() (pyFTS.benchmarks.BSTS.ARIMA method)

generate_high_order_recurrent_flr() (in module pyFTS.common.FLR)

get_maximum_membership_fuzzyset() (in module pyFTS.common.FuzzySet)

get_maximum_membership_fuzzyset_index() (in module pyFTS.common.FuzzySet)

around() (pyFTS.common.SortedCollection.SortedCollection method)

between() (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)

insert() (pyFTS.common.SortedCollection.SortedCollection method)

insert_right() (pyFTS.common.SortedCollection.SortedCollection method)

inside() (pyFTS.common.SortedCollection.SortedCollection method)

remove() (pyFTS.common.SortedCollection.SortedCollection method)

apply() (pyFTS.common.Transformations.AdaptiveExpectation method)

inverse() (pyFTS.common.Transformations.AdaptiveExpectation method)

parameters (pyFTS.common.Transformations.AdaptiveExpectation attribute)

parameters (pyFTS.common.Transformations.Differential attribute)

generate_indexes() (pyFTS.common.Transformations.LinearTrend method)

incremental_gaussian() (pyFTS.data.artificial.SignalEmulator method)

periodic_gaussian() (pyFTS.data.artificial.SignalEmulator method)

stationary_gaussian() (pyFTS.data.artificial.SignalEmulator method)

generate_linear_periodic_gaussian() (in module pyFTS.data.artificial)

generate_sinoidal_periodic_gaussian() (in module pyFTS.data.artificial)

slave_forecast_multivariate() (in module pyFTS.distributed.spark)

flr_membership_matrix() (pyFTS.models.song.ConventionalFTS method)

generate_flrg_fuzzyfied() (pyFTS.models.hofts.HighOrderFTS method)

generate_lhs_flrg_fuzzyfied() (pyFTS.models.hofts.HighOrderFTS method)

get_midpoint() (pyFTS.models.hofts.WeightedHighOrderFLRG method)

generate_lhs_flrg_fuzzyfied() (pyFTS.models.hofts.WeightedHighOrderFTS method)

forecast_ahead_interval() (pyFTS.models.ifts.IntervalFTS method)

get_sequence_membership() (pyFTS.models.ifts.IntervalFTS method)

forecast_ahead_interval() (pyFTS.models.ifts.WeightedIntervalFTS method)

forecast_interval() (pyFTS.models.ifts.WeightedIntervalFTS method)

get_sequence_membership() (pyFTS.models.ifts.WeightedIntervalFTS method)

append_rhs() (pyFTS.models.ismailefendi.ImprovedWeightedFLRG method)

weights() (pyFTS.models.ismailefendi.ImprovedWeightedFLRG method)

forecast() (pyFTS.models.ismailefendi.ImprovedWeightedFTS method)

generate_flrg() (pyFTS.models.ismailefendi.ImprovedWeightedFTS method)

append_rhs() (pyFTS.models.pwfts.ProbabilisticWeightedFLRG method)

get_lower() (pyFTS.models.pwfts.ProbabilisticWeightedFLRG method)

get_membership() (pyFTS.models.pwfts.ProbabilisticWeightedFLRG method)

get_midpoint() (pyFTS.models.pwfts.ProbabilisticWeightedFLRG method)

get_upper() (pyFTS.models.pwfts.ProbabilisticWeightedFLRG method)

partition_function() (pyFTS.models.pwfts.ProbabilisticWeightedFLRG method)

add_new_PWFLGR() (pyFTS.models.pwfts.ProbabilisticWeightedFTS method)

forecast_ahead() (pyFTS.models.pwfts.ProbabilisticWeightedFTS method)

forecast_ahead_interval() (pyFTS.models.pwfts.ProbabilisticWeightedFTS method)

forecast_distribution() (pyFTS.models.pwfts.ProbabilisticWeightedFTS method)

forecast_interval() (pyFTS.models.pwfts.ProbabilisticWeightedFTS method)

generate_flrg() (pyFTS.models.pwfts.ProbabilisticWeightedFTS method)

generate_flrg2() (pyFTS.models.pwfts.ProbabilisticWeightedFTS method)

generate_flrg_fuzzyfied() (pyFTS.models.pwfts.ProbabilisticWeightedFTS method)

generate_lhs_flrg() (pyFTS.models.pwfts.ProbabilisticWeightedFTS method)

get_lower() (pyFTS.models.pwfts.ProbabilisticWeightedFTS method)

get_midpoint() (pyFTS.models.pwfts.ProbabilisticWeightedFTS method)

get_upper() (pyFTS.models.pwfts.ProbabilisticWeightedFTS method)

interval_heuristic() (pyFTS.models.pwfts.ProbabilisticWeightedFTS method)

interval_quantile() (pyFTS.models.pwfts.ProbabilisticWeightedFTS method)

point_expected_value() (pyFTS.models.pwfts.ProbabilisticWeightedFTS method)

point_heuristic() (pyFTS.models.pwfts.ProbabilisticWeightedFTS method)

update_model() (pyFTS.models.pwfts.ProbabilisticWeightedFTS method)

append_rhs() (pyFTS.models.sadaei.ExponentialyWeightedFLRG method)

generate_flrg() (pyFTS.models.sadaei.ExponentialyWeightedFTS method)

train() (pyFTS.models.ensemble.ensemble.AllMethodEnsembleFTS method)

append_model() (pyFTS.models.ensemble.ensemble.EnsembleFTS method)

forecast_ahead_interval() (pyFTS.models.ensemble.ensemble.EnsembleFTS method)

forecast_distribution() (pyFTS.models.ensemble.ensemble.EnsembleFTS method)

forecast_interval() (pyFTS.models.ensemble.ensemble.EnsembleFTS method)

get_interval() (pyFTS.models.ensemble.ensemble.EnsembleFTS method)

get_models_forecasts() (pyFTS.models.ensemble.ensemble.EnsembleFTS method)

train() (pyFTS.models.ensemble.ensemble.SimpleEnsembleFTS method)

SeasonalEnsembleFTS (class in pyFTS.models.ensemble.multiseasonal)

train() (pyFTS.models.ensemble.multiseasonal.SeasonalEnsembleFTS method)

update_uod() (pyFTS.models.ensemble.multiseasonal.SeasonalEnsembleFTS method)

train_individual_model() (in module pyFTS.models.ensemble.multiseasonal)

forecast() (pyFTS.models.incremental.TimeVariant.Retrainer method)

forecast_ahead() (pyFTS.models.incremental.TimeVariant.Retrainer method)

offset() (pyFTS.models.incremental.TimeVariant.Retrainer method)

IncrementalEnsembleFTS (class in pyFTS.models.incremental.IncrementalEnsemble)

MultivariateFuzzySet (class in pyFTS.models.multivariate.common)

append_set() (pyFTS.models.multivariate.common.MultivariateFuzzySet method)

membership() (pyFTS.models.multivariate.common.MultivariateFuzzySet method)

fuzzyfy_instance_clustered() (in module pyFTS.models.multivariate.common)

apply_transformations() (pyFTS.models.multivariate.variable.Variable method)

MultivariatePartitioner (class in pyFTS.models.multivariate.partitioner)

append() (pyFTS.models.multivariate.partitioner.MultivariatePartitioner method)

build() (pyFTS.models.multivariate.partitioner.MultivariatePartitioner method)

fuzzyfy() (pyFTS.models.multivariate.partitioner.MultivariatePartitioner method)

prune() (pyFTS.models.multivariate.partitioner.MultivariatePartitioner method)

search() (pyFTS.models.multivariate.partitioner.MultivariatePartitioner method)

IncrementalGridCluster (class in pyFTS.models.multivariate.grid)

fuzzyfy() (pyFTS.models.multivariate.grid.IncrementalGridCluster method)

prune() (pyFTS.models.multivariate.grid.IncrementalGridCluster method)

append_variable() (pyFTS.models.multivariate.mvfts.MVFTS method)

apply_transformations() (pyFTS.models.multivariate.mvfts.MVFTS method)

clone_parameters() (pyFTS.models.multivariate.mvfts.MVFTS method)

forecast_ahead_interval() (pyFTS.models.multivariate.mvfts.MVFTS method)

forecast_interval() (pyFTS.models.multivariate.mvfts.MVFTS method)

generate_lhs_flrs() (pyFTS.models.multivariate.mvfts.MVFTS method)

append_rhs() (pyFTS.models.multivariate.wmvfts.WeightedFLRG method)

get_lower() (pyFTS.models.multivariate.wmvfts.WeightedFLRG method)

get_midpoint() (pyFTS.models.multivariate.wmvfts.WeightedFLRG method)

get_upper() (pyFTS.models.multivariate.wmvfts.WeightedFLRG method)

weights() (pyFTS.models.multivariate.wmvfts.WeightedFLRG method)

generate_flrg() (pyFTS.models.multivariate.wmvfts.WeightedMVFTS method)

check_data() (pyFTS.models.multivariate.cmvfts.ClusteredMVFTS method)

forecast() (pyFTS.models.multivariate.cmvfts.ClusteredMVFTS method)

forecast_distribution() (pyFTS.models.multivariate.cmvfts.ClusteredMVFTS method)

forecast_interval() (pyFTS.models.multivariate.cmvfts.ClusteredMVFTS method)

forecast_multivariate() (pyFTS.models.multivariate.cmvfts.ClusteredMVFTS method)

fuzzyfy() (pyFTS.models.multivariate.cmvfts.ClusteredMVFTS method)

train() (pyFTS.models.multivariate.cmvfts.ClusteredMVFTS method)

train() (pyFTS.models.multivariate.granular.GranularWMVFTS method)

get_midpoint() (pyFTS.models.nonstationary.common.FuzzySet method)

membership() (pyFTS.models.nonstationary.common.FuzzySet method)

perform_location() (pyFTS.models.nonstationary.common.FuzzySet method)

perform_width() (pyFTS.models.nonstationary.common.FuzzySet method)

perturbate_parameters() (pyFTS.models.nonstationary.common.FuzzySet method)

check_bounds_index() (in module pyFTS.models.nonstationary.common)

ConditionalVarianceFTS (class in pyFTS.models.nonstationary.cvfts)

forecast() (pyFTS.models.nonstationary.cvfts.ConditionalVarianceFTS method)

generate_flrg() (pyFTS.models.nonstationary.cvfts.ConditionalVarianceFTS method)

train() (pyFTS.models.nonstationary.cvfts.ConditionalVarianceFTS method)

HighOrderNonstationaryFLRG (class in pyFTS.models.nonstationary.cvfts)

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

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

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

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

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

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

HighOrderNonStationaryFLRG (class in pyFTS.models.nonstationary.honsfts)

weights() (pyFTS.models.nonstationary.honsfts.HighOrderNonStationaryFLRG method)

HighOrderNonStationaryFTS (class in pyFTS.models.nonstationary.honsfts)

forecast() (pyFTS.models.nonstationary.honsfts.HighOrderNonStationaryFTS method)

train() (pyFTS.models.nonstationary.honsfts.HighOrderNonStationaryFTS method)

ConventionalNonStationaryFLRG (class in pyFTS.models.nonstationary.nsfts)

forecast() (pyFTS.models.nonstationary.nsfts.NonStationaryFTS method)

forecast_interval() (pyFTS.models.nonstationary.nsfts.NonStationaryFTS method)

generate_flrg() (pyFTS.models.nonstationary.nsfts.NonStationaryFTS method)

train() (pyFTS.models.nonstationary.nsfts.NonStationaryFTS method)

WeightedNonStationaryFLRG (class in pyFTS.models.nonstationary.nsfts)

append_rhs() (pyFTS.models.nonstationary.nsfts.WeightedNonStationaryFLRG method)

get_key() (pyFTS.models.nonstationary.nsfts.WeightedNonStationaryFLRG method)

weights() (pyFTS.models.nonstationary.nsfts.WeightedNonStationaryFLRG method)

WeightedNonStationaryFTS (class in pyFTS.models.nonstationary.nsfts)

train() (pyFTS.models.nonstationary.nsfts.WeightedNonStationaryFTS method)

PolynomialNonStationaryPartitioner (class in pyFTS.models.nonstationary.partitioners)

SimpleNonStationaryPartitioner (class in pyFTS.models.nonstationary.partitioners)

simplenonstationary_gridpartitioner_builder() (in module pyFTS.models.nonstationary.partitioners)

exponential() (in module pyFTS.models.nonstationary.perturbation)

polynomial() (in module pyFTS.models.nonstationary.perturbation)

plot_sets_conditional() (in module pyFTS.models.nonstationary.util)

DataFrameSeasonalIndexer (class in pyFTS.models.seasonal.SeasonalIndexer)

DateTimeSeasonalIndexer (class in pyFTS.models.seasonal.SeasonalIndexer)

LinearSeasonalIndexer (class in pyFTS.models.seasonal.SeasonalIndexer)

get_data() (pyFTS.models.seasonal.SeasonalIndexer.LinearSeasonalIndexer method)

SeasonalIndexer (class in pyFTS.models.seasonal.SeasonalIndexer)

get_data() (pyFTS.models.seasonal.SeasonalIndexer.SeasonalIndexer method)

get_index() (pyFTS.models.seasonal.SeasonalIndexer.SeasonalIndexer method)

ContextualMultiSeasonalFTS (class in pyFTS.models.seasonal.cmsfts)

forecast() (pyFTS.models.seasonal.cmsfts.ContextualMultiSeasonalFTS method)

generate_flrg() (pyFTS.models.seasonal.cmsfts.ContextualMultiSeasonalFTS method)

get_midpoints() (pyFTS.models.seasonal.cmsfts.ContextualMultiSeasonalFTS method)

train() (pyFTS.models.seasonal.cmsfts.ContextualMultiSeasonalFTS method)

append_rhs() (pyFTS.models.seasonal.cmsfts.ContextualSeasonalFLRG method)

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)

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

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

forecast() (pyFTS.models.seasonal.msfts.MultiSeasonalFTS method)

forecast_ahead() (pyFTS.models.seasonal.msfts.MultiSeasonalFTS method)

generate_flrg() (pyFTS.models.seasonal.msfts.MultiSeasonalFTS method)

TimeGridPartitioner (class in pyFTS.models.seasonal.partitioner)

build() (pyFTS.models.seasonal.partitioner.TimeGridPartitioner method)

build_index() (pyFTS.models.seasonal.partitioner.TimeGridPartitioner method)

extractor() (pyFTS.models.seasonal.partitioner.TimeGridPartitioner method)

plot() (pyFTS.models.seasonal.partitioner.TimeGridPartitioner method)

search() (pyFTS.models.seasonal.partitioner.TimeGridPartitioner method)

build_index() (pyFTS.partitioners.partitioner.Partitioner method)

check_bounds() (pyFTS.partitioners.partitioner.Partitioner method)

build() (pyFTS.partitioners.Singleton.SingletonPartitioner method)

append_complex() (pyFTS.partitioners.Simple.SimplePartitioner method)

build() (pyFTS.partitioners.SubClust.SubClustPartitioner method)

explore_partitioners() (in module pyFTS.partitioners.parallel_util)

ProbabilityDistribution (class in pyFTS.probabilistic.ProbabilityDistribution)

from_point() (in module pyFTS.probabilistic.ProbabilityDistribution)

kernel_function() (pyFTS.probabilistic.kde.KernelSmoothing method)

email.message.Message: Representing an email message using the compat32 API

What is the most efficient way to concatenate many strings together?

Why does a_tuple[i] += [‘item’] raise an exception when the addition works?

What does the slash(/) in the parameter list of a function mean?

PEP 3118: New memoryview implementation and buffer protocol documentation

PEP 476: Enabling certificate verification by default for stdlib http clients

PEP 471 - os.scandir() function – a better and faster directory iterator

Why must ‘self’ be used explicitly in method definitions and calls?

argparse — Parser for command-line options, arguments and sub-commands

functools — Higher-order functions and operations on callable objects

multiprocessing.shared_memory —  Provides shared memory for direct access across processes

sysconfig — Provide access to Python’s configuration information