giotto-time
Contents:
API reference
giotto-time
»
Index
Index
A
|
B
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C
|
D
|
E
|
F
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G
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H
|
L
|
M
|
N
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P
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R
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S
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T
A
AR (class in gtime.time_series_models)
Average (class in gtime.time_series_models)
AverageForecaster (class in gtime.forecasting)
B
blocking_time_series_split() (in module gtime.model_selection)
C
Calendar (class in gtime.feature_extraction)
(class in gtime.feature_generation)
Constant (class in gtime.feature_generation)
CrestFactorDetrending (class in gtime.feature_extraction)
CustomFeature (class in gtime.feature_extraction)
CVPipeline (class in gtime.time_series_models)
D
Detrender (class in gtime.feature_extraction)
Drift (class in gtime.time_series_models)
DriftForecaster (class in gtime.forecasting)
E
Exogenous (class in gtime.feature_extraction)
ExplainableRegressor (class in gtime.regressors)
F
FeatureCreation (class in gtime.compose)
FeatureSplitter (class in gtime.model_selection)
fit() (gtime.causality.GrangerCausality method)
(gtime.causality.ShiftedLinearCoefficient method)
(gtime.causality.ShiftedPearsonCorrelation method)
(gtime.feature_extraction.Calendar method)
(gtime.feature_extraction.CustomFeature method)
(gtime.feature_extraction.Detrender method)
(gtime.feature_extraction.Exogenous method)
(gtime.feature_extraction.Max method)
(gtime.feature_extraction.Min method)
(gtime.feature_extraction.MovingAverage method)
(gtime.feature_extraction.MovingCustomFunction method)
(gtime.feature_extraction.MovingMedian method)
(gtime.feature_extraction.Polynomial method)
(gtime.feature_extraction.Shift method)
(gtime.feature_generation.Calendar method)
(gtime.feature_generation.Constant method)
(gtime.feature_generation.PeriodicSeasonal method)
(gtime.forecasting.AverageForecaster method)
(gtime.forecasting.DriftForecaster method)
(gtime.forecasting.GAR method)
(gtime.forecasting.GARFF method)
(gtime.forecasting.HedgeForecaster method)
(gtime.forecasting.MultiFeatureGAR method)
(gtime.forecasting.MultiFeatureMultiOutputRegressor method)
(gtime.forecasting.SeasonalNaiveForecaster method)
(gtime.forecasting.TrendForecaster method)
(gtime.regressors.ExplainableRegressor method)
(gtime.regressors.LinearRegressor method)
(gtime.regressors.MultiFeatureMultiOutputRegressor method)
(gtime.time_series_models.CVPipeline method)
(gtime.time_series_models.TimeSeriesForecastingModel method)
fit_predict() (gtime.forecasting.HedgeForecaster method)
fit_transform() (gtime.compose.FeatureCreation method)
G
GAR (class in gtime.forecasting)
GARFF (class in gtime.forecasting)
get_feature_names() (gtime.feature_generation.Constant method)
gmae() (in module gtime.metrics)
GrangerCausality (class in gtime.causality)
gtime.causality
module
gtime.compose
module
gtime.feature_extraction
module
gtime.feature_generation
module
gtime.forecasting
module
gtime.metrics
module
gtime.model_selection
module
gtime.preprocessing
module
gtime.regressors
module
gtime.time_series_models
module
H
HedgeForecaster (class in gtime.forecasting)
horizon_shift() (in module gtime.model_selection)
L
LinearRegressor (class in gtime.regressors)
log_mse() (in module gtime.metrics)
M
mae() (in module gtime.metrics)
mape() (in module gtime.metrics)
Max (class in gtime.feature_extraction)
max_error() (in module gtime.metrics)
Min (class in gtime.feature_extraction)
module
gtime.causality
gtime.compose
gtime.feature_extraction
gtime.feature_generation
gtime.forecasting
gtime.metrics
gtime.model_selection
gtime.preprocessing
gtime.regressors
gtime.time_series_models
MovingAverage (class in gtime.feature_extraction)
MovingCustomFunction (class in gtime.feature_extraction)
MovingMedian (class in gtime.feature_extraction)
mse() (in module gtime.metrics)
MultiFeatureGAR (class in gtime.forecasting)
MultiFeatureMultiOutputRegressor (class in gtime.forecasting)
(class in gtime.regressors)
N
Naive (class in gtime.time_series_models)
NaiveForecaster (class in gtime.forecasting)
non_zero_smape() (in module gtime.metrics)
P
PeriodicSeasonal (class in gtime.feature_generation)
Polynomial (class in gtime.feature_extraction)
predict() (gtime.forecasting.GAR method)
(gtime.forecasting.GARFF method)
(gtime.forecasting.MultiFeatureGAR method)
(gtime.forecasting.MultiFeatureMultiOutputRegressor method)
(gtime.forecasting.TrendForecaster method)
(gtime.regressors.ExplainableRegressor method)
(gtime.regressors.LinearRegressor method)
(gtime.regressors.MultiFeatureMultiOutputRegressor method)
(gtime.time_series_models.CVPipeline method)
(gtime.time_series_models.TimeSeriesForecastingModel method)
R
r_square() (in module gtime.metrics)
rmse() (in module gtime.metrics)
rmsle() (in module gtime.metrics)
S
score() (gtime.time_series_models.TimeSeriesForecastingModel method)
SeasonalNaive (class in gtime.time_series_models)
SeasonalNaiveForecaster (class in gtime.forecasting)
set_model() (gtime.time_series_models.TimeSeriesForecastingModel method)
set_params() (gtime.time_series_models.TimeSeriesForecastingModel method)
Shift (class in gtime.feature_extraction)
ShiftedLinearCoefficient (class in gtime.causality)
ShiftedPearsonCorrelation (class in gtime.causality)
smape() (in module gtime.metrics)
SortedDensity (class in gtime.feature_extraction)
T
time_series_split() (in module gtime.model_selection)
TimeSeriesForecastingModel (class in gtime.time_series_models)
TimeSeriesPreparation (class in gtime.preprocessing)
transform() (gtime.compose.FeatureCreation method)
(gtime.feature_extraction.Calendar method)
(gtime.feature_extraction.CrestFactorDetrending method)
(gtime.feature_extraction.CustomFeature method)
(gtime.feature_extraction.Detrender method)
(gtime.feature_extraction.Exogenous method)
(gtime.feature_extraction.Max method)
(gtime.feature_extraction.Min method)
(gtime.feature_extraction.MovingAverage method)
(gtime.feature_extraction.MovingCustomFunction method)
(gtime.feature_extraction.MovingMedian method)
(gtime.feature_extraction.Polynomial method)
(gtime.feature_extraction.Shift method)
(gtime.feature_extraction.SortedDensity method)
(gtime.feature_generation.Calendar method)
(gtime.feature_generation.Constant method)
(gtime.feature_generation.PeriodicSeasonal method)
(gtime.model_selection.FeatureSplitter method)
(gtime.preprocessing.TimeSeriesPreparation method)
TrendForecaster (class in gtime.forecasting)