Index

C

calc_cost() (in module ThymeBoost.cost_functions) calc_entropy() (in module ThymeBoost.cost_functions) calc_mae() (in module ThymeBoost.cost_functions)

calc_mape() (in module ThymeBoost.cost_functions) calc_mse() (in module ThymeBoost.cost_functions) calc_smape() (in module ThymeBoost.cost_functions) ClassicSeasonalityModel (class in ThymeBoost.seasonality_models.classic_seasonality), [1]

E

EwmModel (class in ThymeBoost.trend_models.ewm_trend), [1]

F

fit() (ThymeBoost.seasonality_models.classic_seasonality.ClassicSeasonalityModel method), [1] (ThymeBoost.seasonality_models.fourier_seasonality.FourierSeasonalityModel method), [1] (ThymeBoost.trend_models.ewm_trend.EwmModel method), [1] (ThymeBoost.trend_models.loess_trend.LoessModel method), [1] (ThymeBoost.trend_models.mean_trend.MeanModel method), [1] (ThymeBoost.trend_models.median_trend.MedianModel method), [1]

fit_seasonal_component() (ThymeBoost.fit_components.fit_seasonality.FitSeasonality method) FitSeasonality (class in ThymeBoost.fit_components.fit_seasonality) FourierSeasonalityModel (class in ThymeBoost.seasonality_models.fourier_seasonality), [1]

G

get_approximate_split_proposals() (ThymeBoost.split_proposals.SplitProposals method) get_fourier_series() (ThymeBoost.seasonality_models.fourier_seasonality.FourierSeasonalityModel method), [1]

get_split_cost() (in module ThymeBoost.cost_functions) get_split_proposals() (ThymeBoost.split_proposals.SplitProposals method) gradient_based_proposal() (ThymeBoost.split_proposals.SplitProposals method)

H

handle_seasonal_weights() (ThymeBoost.seasonality_models.fourier_seasonality.FourierSeasonalityModel method), [1]

histogram_based_proposal() (ThymeBoost.split_proposals.SplitProposals method)

L

LoessModel (class in ThymeBoost.trend_models.loess_trend), [1]

M

MeanModel (class in ThymeBoost.trend_models.mean_trend), [1] MedianModel (class in ThymeBoost.trend_models.median_trend), [1] model (ThymeBoost.seasonality_models.classic_seasonality.ClassicSeasonalityModel attribute), [1] (ThymeBoost.seasonality_models.fourier_seasonality.FourierSeasonalityModel attribute), [1] (ThymeBoost.trend_models.ewm_trend.EwmModel attribute), [1] (ThymeBoost.trend_models.loess_trend.LoessModel attribute), [1] (ThymeBoost.trend_models.mean_trend.MeanModel attribute), [1] (ThymeBoost.trend_models.median_trend.MedianModel attribute), [1] module ThymeBoost ThymeBoost.cost_functions ThymeBoost.exogenous_models, [1] ThymeBoost.fit_components ThymeBoost.fit_components.fit_seasonality ThymeBoost.fitter ThymeBoost.param_iterator ThymeBoost.predict_functions ThymeBoost.seasonality_models, [1] ThymeBoost.seasonality_models.classic_seasonality, [1] ThymeBoost.seasonality_models.fourier_seasonality, [1] ThymeBoost.split_proposals ThymeBoost.trend_models, [1] ThymeBoost.trend_models.ewm_trend, [1] ThymeBoost.trend_models.loess_trend, [1] ThymeBoost.trend_models.mean_trend, [1] ThymeBoost.trend_models.median_trend, [1] ThymeBoost.utils, [1] ThymeBoost.utils.plotting, [1] ThymeBoost.utils.trend_dampen, [1]

P

param_check() (ThymeBoost.param_iterator.ParamIterator method) ParamIterator (class in ThymeBoost.param_iterator) plot_components() (in module ThymeBoost.utils.plotting), [1] plot_optimization() (in module ThymeBoost.utils.plotting), [1] plot_results() (in module ThymeBoost.utils.plotting), [1] predict() (ThymeBoost.seasonality_models.classic_seasonality.ClassicSeasonalityModel method), [1] (ThymeBoost.seasonality_models.fourier_seasonality.FourierSeasonalityModel method), [1] (ThymeBoost.trend_models.ewm_trend.EwmModel method), [1] (ThymeBoost.trend_models.loess_trend.LoessModel method), [1] (ThymeBoost.trend_models.mean_trend.MeanModel method), [1] (ThymeBoost.trend_models.median_trend.MedianModel method), [1]

predict_exogenous() (in module ThymeBoost.predict_functions) predict_rounds() (in module ThymeBoost.predict_functions) predict_seasonality() (in module ThymeBoost.predict_functions) predict_trend() (in module ThymeBoost.predict_functions)

S

sanitize_params() (ThymeBoost.param_iterator.ParamIterator method) set_estimator() (ThymeBoost.fit_components.fit_seasonality.FitSeasonality static method)

set_proposal_method() (ThymeBoost.split_proposals.SplitProposals method) SplitProposals (class in ThymeBoost.split_proposals)

T

ThymeBoost module ThymeBoost.cost_functions module ThymeBoost.exogenous_models module, [1] ThymeBoost.fit_components module ThymeBoost.fit_components.fit_seasonality module ThymeBoost.fitter module ThymeBoost.param_iterator module ThymeBoost.predict_functions module ThymeBoost.seasonality_models module, [1] ThymeBoost.seasonality_models.classic_seasonality module, [1]

ThymeBoost.seasonality_models.fourier_seasonality module, [1] ThymeBoost.split_proposals module ThymeBoost.trend_models module, [1] ThymeBoost.trend_models.ewm_trend module, [1] ThymeBoost.trend_models.loess_trend module, [1] ThymeBoost.trend_models.mean_trend module, [1] ThymeBoost.trend_models.median_trend module, [1] ThymeBoost.utils module, [1] ThymeBoost.utils.plotting module, [1] ThymeBoost.utils.trend_dampen module, [1] trend_dampen() (in module ThymeBoost.utils.trend_dampen), [1]