Index

_

__repr__() (greykite.algo.common.model_summary.ModelSummary method), [1] __starting_test_index (greykite.sklearn.cross_validation.RollingTimeSeriesSplit attribute), [1] __str__() (greykite.algo.common.model_summary.ModelSummary method), [1] _get_offset() (greykite.sklearn.cross_validation.RollingTimeSeriesSplit method), [1] _get_summary() (greykite.algo.common.model_summary.ModelSummary method), [1] _is_fitted (greykite.sklearn.transform.normalize_transformer.NormalizeTransformer attribute), [1] (greykite.sklearn.transform.null_transformer.NullTransformer attribute), [1] (greykite.sklearn.transform.zscore_outlier_transformer.ZscoreOutlierTransformer attribute), [1]

_iter_test_indices() (greykite.sklearn.cross_validation.RollingTimeSeriesSplit method), [1] _iter_test_masks() (greykite.sklearn.cross_validation.RollingTimeSeriesSplit method), [1] _pred_category (greykite.sklearn.estimator.base_silverkite_estimator.BaseSilverkiteEstimator attribute), [1] _sample_splits() (greykite.sklearn.cross_validation.RollingTimeSeriesSplit method), [1]

A

actual_col (greykite.framework.output.univariate_forecast.UnivariateForecast attribute), [1] ACTUAL_COL (in module greykite.common.constants), [1] adaptive_lasso_coef (greykite.algo.changepoint.adalasso.changepoint_detector.ChangepointDetector attribute), [1] add_daily_events() (in module greykite.common.features.timeseries_features), [1] add_event_window_multi() (in module greykite.common.features.timeseries_features), [1] adjust_anomalous_data() (in module greykite.common.features.adjust_anomalous_data), [1] ADJUSTMENT_DELTA_COL (in module greykite.common.constants), [1] agg_func (greykite.framework.templates.autogen.forecast_config.EvaluationMetricParam attribute), [1] AGG_LAG_INFIX (in module greykite.common.constants), [1] agg_periods (greykite.framework.templates.autogen.forecast_config.EvaluationMetricParam attribute), [1] algo (greykite.framework.templates.simple_silverkite_template_config.SimpleSilverkiteTemplateOptions attribute), [1], [2], [3] ALL_HOLIDAYS_IN_COUNTRIES (greykite.algo.forecast.silverkite.constants.silverkite_holiday.SilverkiteHoliday attribute), [1] allow_model_components_param_list() (greykite.framework.templates.prophet_template.ProphetTemplate property), [1] (greykite.framework.templates.silverkite_template.SilverkiteTemplate property), [1] (greykite.framework.templates.simple_silverkite_template.SimpleSilverkiteTemplate property), [1] allow_model_template_list() (greykite.framework.templates.prophet_template.ProphetTemplate property), [1] (greykite.framework.templates.silverkite_template.SilverkiteTemplate property), [1] (greykite.framework.templates.simple_silverkite_template.SimpleSilverkiteTemplate property), [1] anomaly_info (greykite.framework.input.univariate_time_series.UnivariateTimeSeries attribute), [1] (greykite.framework.templates.autogen.forecast_config.MetadataParam attribute), [1] apply_computation_defaults() (greykite.framework.templates.prophet_template.ProphetTemplate static method), [1] (greykite.framework.templates.silverkite_template.SilverkiteTemplate static method), [1] (greykite.framework.templates.simple_silverkite_template.SimpleSilverkiteTemplate static method), [1] apply_evaluation_metric_defaults() (greykite.framework.templates.prophet_template.ProphetTemplate static method), [1] (greykite.framework.templates.silverkite_template.SilverkiteTemplate static method), [1] (greykite.framework.templates.simple_silverkite_template.SimpleSilverkiteTemplate static method), [1] apply_evaluation_period_defaults() (greykite.framework.templates.prophet_template.ProphetTemplate static method), [1] (greykite.framework.templates.silverkite_template.SilverkiteTemplate static method), [1] (greykite.framework.templates.simple_silverkite_template.SimpleSilverkiteTemplate static method), [1]

apply_forecast_config() (greykite.framework.templates.forecaster.Forecaster method), [1] apply_forecast_config_defaults() (greykite.framework.templates.prophet_template.ProphetTemplate method), [1] (greykite.framework.templates.silverkite_template.SilverkiteTemplate method), [1] (greykite.framework.templates.simple_silverkite_template.SimpleSilverkiteTemplate method), [1] apply_metadata_defaults() (greykite.framework.templates.prophet_template.ProphetTemplate static method), [1] (greykite.framework.templates.silverkite_template.SilverkiteTemplate static method), [1] (greykite.framework.templates.simple_silverkite_template.SimpleSilverkiteTemplate static method), [1] apply_model_components_defaults() (greykite.framework.templates.prophet_template.ProphetTemplate static method), [1] (greykite.framework.templates.silverkite_template.SilverkiteTemplate static method), [1] (greykite.framework.templates.simple_silverkite_template.SimpleSilverkiteTemplate static method), [1] apply_model_template_defaults() (greykite.framework.templates.prophet_template.ProphetTemplate method), [1] (greykite.framework.templates.silverkite_template.SilverkiteTemplate method), [1] (greykite.framework.templates.simple_silverkite_template.SimpleSilverkiteTemplate method), [1] apply_prophet_model_components_defaults() (greykite.framework.templates.prophet_template.ProphetTemplate method), [1] apply_template_decorator() (greykite.framework.templates.prophet_template.ProphetTemplate static method), [1] (greykite.framework.templates.silverkite_template.SilverkiteTemplate static method), [1] (greykite.framework.templates.simple_silverkite_template.SimpleSilverkiteTemplate static method), [1] apply_template_for_pipeline_params() (greykite.framework.templates.prophet_template.ProphetTemplate method), [1] (greykite.framework.templates.silverkite_template.SilverkiteTemplate method), [1] (greykite.framework.templates.simple_silverkite_template.SimpleSilverkiteTemplate method), [1] ar (greykite.framework.templates.simple_silverkite_template_config.SimpleSilverkiteTemplateOptions attribute), [1], [2], [3] autocomplete_map_func_dict() (greykite.framework.output.univariate_forecast.UnivariateForecast method), [1] autocomplete_metric_dict() (greykite.framework.benchmark.benchmark_class.BenchmarkForecastConfig static method), [1] autoregression (greykite.framework.templates.autogen.forecast_config.ModelComponentsParam attribute), [1] available_datasets (greykite.common.data_loader.DataLoader attribute), [1]

B

backtest (greykite.framework.pipeline.pipeline.ForecastResult attribute), [1] BaseSilverkiteEstimator (class in greykite.sklearn.estimator.base_silverkite_estimator), [1] BenchmarkForecastConfig (class in greykite.framework.benchmark.benchmark_class), [1]

beta (greykite.algo.common.model_summary.ModelSummary attribute), [1] build_agg_lag_df() (in module greykite.common.features.timeseries_lags), [1] build_autoreg_df() (in module greykite.common.features.timeseries_lags), [1] build_time_features_df() (in module greykite.common.features.timeseries_features), [1]

C

CHANGEPOINT_COL_PREFIX (in module greykite.common.constants), [1] CHANGEPOINT_COL_PREFIX_SHORT (in module greykite.common.constants), [1] ChangepointDetector (class in greykite.algo.changepoint.adalasso.changepoint_detector), [1] changepoints (greykite.framework.templates.autogen.forecast_config.ModelComponentsParam attribute), [1] check_template_type() (greykite.framework.templates.simple_silverkite_template.SimpleSilverkiteTemplate method), [1] coef_ (greykite.sklearn.estimator.base_silverkite_estimator.BaseSilverkiteEstimator attribute), [1] CoefficientOfDetermination (greykite.common.evaluation.EvaluationMetricEnum attribute), [1] COLS_DAY_OF_WEEK (greykite.algo.forecast.silverkite.constants.silverkite_column.SilverkiteColumn attribute), [1] COLS_DAY_OF_WEEK_SEAS (greykite.algo.forecast.silverkite.constants.silverkite_column.SilverkiteColumn attribute), [1] COLS_EVENT_SEAS (greykite.algo.forecast.silverkite.constants.silverkite_column.SilverkiteColumn attribute), [1] COLS_EVENT_WEEKEND_SEAS (greykite.algo.forecast.silverkite.constants.silverkite_column.SilverkiteColumn attribute), [1] COLS_HOUR_OF_WEEK (greykite.algo.forecast.silverkite.constants.silverkite_column.SilverkiteColumn attribute), [1] COLS_TREND_DAILY_SEAS (greykite.algo.forecast.silverkite.constants.silverkite_column.SilverkiteColumn attribute), [1] COLS_TREND_DAY_OF_WEEK (greykite.algo.forecast.silverkite.constants.silverkite_column.SilverkiteColumn attribute), [1] COLS_TREND_WEEKEND (greykite.algo.forecast.silverkite.constants.silverkite_column.SilverkiteColumn attribute), [1] COLS_TREND_WEEKLY_SEAS (greykite.algo.forecast.silverkite.constants.silverkite_column.SilverkiteColumn attribute), [1] COLS_WEEKEND_SEAS (greykite.algo.forecast.silverkite.constants.silverkite_column.SilverkiteColumn attribute), [1] combine_detected_and_custom_trend_changepoints() (in module greykite.algo.changepoint.adalasso.changepoints_utils), [1] COMMON_MODELCOMPONENTPARAM_PARAMETERS (greykite.framework.templates.simple_silverkite_template_config.SimpleSilverkiteTemplateConstants attribute), [1] (in module greykite.framework.templates.simple_silverkite_template_config), [1] COMPUTATION_N_JOBS (in module greykite.framework.constants), [1] computation_param (greykite.framework.templates.autogen.forecast_config.ForecastConfig attribute), [1] COMPUTATION_VERBOSE (in module greykite.framework.constants), [1] ComputationParam (class in greykite.framework.templates.autogen.forecast_config), [1]

compute_evaluation_metrics_split() (greykite.framework.output.univariate_forecast.UnivariateForecast method), [1] conf_interval() (in module greykite.algo.uncertainty.conditional.conf_interval), [1] config (greykite.framework.templates.forecaster.Forecaster attribute), [1] configs (greykite.framework.benchmark.benchmark_class.BenchmarkForecastConfig attribute), [1] constants() (greykite.framework.templates.simple_silverkite_template.SimpleSilverkiteTemplate property), [1] convert_date_to_continuous_time() (in module greykite.common.features.timeseries_features), [1] convert_params() (greykite.algo.forecast.silverkite.forecast_simple_silverkite.SimpleSilverkiteForecast method), [1] Correlation (greykite.common.evaluation.EvaluationMetricEnum attribute), [1] coverage (greykite.framework.output.univariate_forecast.UnivariateForecast attribute), [1] (greykite.framework.templates.autogen.forecast_config.ForecastConfig attribute), [1] COVERAGE_VS_INTENDED_DIFF (in module greykite.common.constants), [1] cp (greykite.framework.templates.simple_silverkite_template_config.SimpleSilverkiteTemplateOptions attribute), [1], [2], [3] custom (greykite.framework.templates.autogen.forecast_config.ModelComponentsParam attribute), [1] CUSTOM_SCORE_FUNC_NAME (in module greykite.framework.constants), [1] cv_expanding_window (greykite.framework.templates.autogen.forecast_config.EvaluationPeriodParam attribute), [1] cv_horizon (greykite.framework.templates.autogen.forecast_config.EvaluationPeriodParam attribute), [1] cv_max_splits (greykite.framework.templates.autogen.forecast_config.EvaluationPeriodParam attribute), [1] cv_min_train_periods (greykite.framework.templates.autogen.forecast_config.EvaluationPeriodParam attribute), [1] cv_periods_between_splits (greykite.framework.templates.autogen.forecast_config.EvaluationPeriodParam attribute), [1] cv_periods_between_train_test (greykite.framework.templates.autogen.forecast_config.EvaluationPeriodParam attribute), [1] cv_report_metrics (greykite.framework.templates.autogen.forecast_config.EvaluationMetricParam attribute), [1] CV_REPORT_METRICS_ALL (in module greykite.framework.constants), [1] cv_selection_metric (greykite.framework.templates.autogen.forecast_config.EvaluationMetricParam attribute), [1] cv_use_most_recent_splits (greykite.framework.templates.autogen.forecast_config.EvaluationPeriodParam attribute), [1]

D

DAILY_SEASONALITY (greykite.algo.forecast.silverkite.constants.silverkite_seasonality.SilverkiteSeasonalityEnum attribute), [1], [2], [3] DataLoader (class in greykite.common.data_loader), [1] DataLoaderTS (class in greykite.framework.benchmark.data_loader_ts), [1] date_format (greykite.framework.templates.autogen.forecast_config.MetadataParam attribute), [1] DEFAULT_MODEL_TEMPLATE (greykite.framework.templates.prophet_template.ProphetTemplate attribute), [1] (greykite.framework.templates.silverkite_template.SilverkiteTemplate attribute), [1] (greykite.framework.templates.simple_silverkite_template.SimpleSilverkiteTemplate attribute), [1] default_model_template_name (greykite.framework.templates.forecaster.Forecaster attribute), [1] describe_time_col() (greykite.framework.input.univariate_time_series.UnivariateTimeSeries method), [1] describe_value_col() (greykite.framework.input.univariate_time_series.UnivariateTimeSeries method), [1] description (greykite.framework.templates.model_templates.ModelTemplate attribute), [1]

df (greykite.framework.benchmark.benchmark_class.BenchmarkForecastConfig attribute), [1] (greykite.framework.input.univariate_time_series.UnivariateTimeSeries attribute), [1] (greykite.framework.output.univariate_forecast.UnivariateForecast attribute), [1] (greykite.sklearn.estimator.base_silverkite_estimator.BaseSilverkiteEstimator attribute), [1] df_before_adjustment (greykite.framework.input.univariate_time_series.UnivariateTimeSeries attribute), [1] df_test (greykite.framework.output.univariate_forecast.UnivariateForecast attribute), [1] df_train (greykite.framework.output.univariate_forecast.UnivariateForecast attribute), [1] DIMENSION_COL (in module greykite.common.constants), [1] drop_cols (greykite.sklearn.transform.drop_degenerate_transformer.DropDegenerateTransformer attribute), [1] DropDegenerateTransformer (class in greykite.sklearn.transform.drop_degenerate_transformer), [1] dsi (greykite.framework.templates.simple_silverkite_template_config.SimpleSilverkiteTemplateOptions attribute), [1], [2], [3]

E

END_DATE_COL (in module greykite.common.constants), [1] ERR_STD_COL (in module greykite.common.constants), [1] estimator (greykite.framework.output.univariate_forecast.UnivariateForecast attribute), [1] estimator() (greykite.framework.templates.prophet_template.ProphetTemplate property), [1] (greykite.framework.templates.silverkite_template.SilverkiteTemplate property), [1] (greykite.framework.templates.simple_silverkite_template.SimpleSilverkiteTemplate property), [1] evaluation_metric_param (greykite.framework.templates.autogen.forecast_config.ForecastConfig attribute), [1] EVALUATION_PERIOD_CV_MAX_SPLITS (in module greykite.framework.constants), [1] evaluation_period_param (greykite.framework.templates.autogen.forecast_config.ForecastConfig attribute), [1] EvaluationMetricEnum (class in greykite.common.evaluation), [1]

EvaluationMetricParam (class in greykite.framework.templates.autogen.forecast_config), [1] EvaluationPeriodParam (class in greykite.framework.templates.autogen.forecast_config), [1] EVENT_DEFAULT (in module greykite.common.constants), [1] EVENT_DF_DATE_COL (in module greykite.common.constants), [1] EVENT_DF_LABEL_COL (in module greykite.common.constants), [1] EVENT_INDICATOR (in module greykite.common.constants), [1] EVENT_PREFIX (in module greykite.common.constants), [1] EVENT_REGEX (in module greykite.common.constants), [1] events (greykite.framework.templates.autogen.forecast_config.ModelComponentsParam attribute), [1] extra_pred_cols (greykite.sklearn.estimator.base_silverkite_estimator.BaseSilverkiteEstimator attribute), [1] extract_forecasts() (greykite.framework.benchmark.benchmark_class.BenchmarkForecastConfig method), [1]

F

feaset (greykite.framework.templates.simple_silverkite_template_config.SimpleSilverkiteTemplateOptions attribute), [1], [2], [3] feature_cols (greykite.sklearn.estimator.base_silverkite_estimator.BaseSilverkiteEstimator attribute), [1] find_seasonality_changepoints() (greykite.algo.changepoint.adalasso.changepoint_detector.ChangepointDetector method), [1] find_trend_changepoints() (greykite.algo.changepoint.adalasso.changepoint_detector.ChangepointDetector method), [1] finish_fit() (greykite.sklearn.estimator.base_silverkite_estimator.BaseSilverkiteEstimator method), [1] (greykite.sklearn.estimator.silverkite_estimator.SilverkiteEstimator method), [1] (greykite.sklearn.estimator.simple_silverkite_estimator.SimpleSilverkiteEstimator method), [1] fit() (greykite.sklearn.estimator.base_silverkite_estimator.BaseSilverkiteEstimator method), [1] (greykite.sklearn.estimator.prophet_estimator.ProphetEstimator method), [1] (greykite.sklearn.estimator.silverkite_estimator.SilverkiteEstimator method), [1] (greykite.sklearn.estimator.simple_silverkite_estimator.SimpleSilverkiteEstimator method), [1] (greykite.sklearn.transform.drop_degenerate_transformer.DropDegenerateTransformer method), [1] (greykite.sklearn.transform.normalize_transformer.NormalizeTransformer method), [1] (greykite.sklearn.transform.null_transformer.NullTransformer method), [1] (greykite.sklearn.transform.zscore_outlier_transformer.ZscoreOutlierTransformer method), [1] fit_algorithm (greykite.algo.common.model_summary.ModelSummary attribute), [1] fit_cols (greykite.framework.input.univariate_time_series.UnivariateTimeSeries attribute), [1] fit_df (greykite.framework.input.univariate_time_series.UnivariateTimeSeries attribute), [1] fit_ml_model() (in module greykite.algo.common.ml_models), [1] fit_ml_model_with_evaluation() (in module greykite.algo.common.ml_models), [1] fit_transform() (greykite.sklearn.transform.drop_degenerate_transformer.DropDegenerateTransformer method), [1] (greykite.sklearn.transform.normalize_transformer.NormalizeTransformer method), [1] (greykite.sklearn.transform.null_transformer.NullTransformer method), [1] (greykite.sklearn.transform.zscore_outlier_transformer.ZscoreOutlierTransformer method), [1] fit_y (greykite.framework.input.univariate_time_series.UnivariateTimeSeries attribute), [1]

forecast (greykite.framework.pipeline.pipeline.ForecastResult attribute), [1] (greykite.sklearn.estimator.base_silverkite_estimator.BaseSilverkiteEstimator attribute), [1] (greykite.sklearn.estimator.prophet_estimator.ProphetEstimator attribute), [1] forecast() (greykite.algo.forecast.silverkite.forecast_silverkite.SilverkiteForecast method), [1] (greykite.algo.forecast.silverkite.forecast_simple_silverkite.SimpleSilverkiteForecast method), [1] forecast_horizon (greykite.framework.output.univariate_forecast.UnivariateForecast attribute), [1] (greykite.framework.templates.autogen.forecast_config.ForecastConfig attribute), [1] forecast_pipeline() (in module greykite.framework.pipeline.pipeline), [1] forecast_result (greykite.framework.templates.forecaster.Forecaster attribute), [1] forecast_simple() (greykite.algo.forecast.silverkite.forecast_simple_silverkite.SimpleSilverkiteForecast method), [1] FORECAST_STEP_COL (in module greykite.framework.constants), [1] ForecastConfig (class in greykite.framework.templates.autogen.forecast_config), [1] Forecaster (class in greykite.framework.templates.forecaster), [1] forecaster (greykite.framework.benchmark.benchmark_class.BenchmarkForecastConfig attribute), [1] ForecastResult (class in greykite.framework.pipeline.pipeline), [1] forecasts (greykite.framework.benchmark.benchmark_class.BenchmarkForecastConfig attribute), [1] FRACTION_OUTSIDE_TOLERANCE (in module greykite.common.constants), [1] FRACTION_OUTSIDE_TOLERANCE_NAME (in module greykite.framework.constants), [1] FractionOutsideTolerance1 (greykite.common.evaluation.EvaluationMetricEnum attribute), [1] FractionOutsideTolerance2 (greykite.common.evaluation.EvaluationMetricEnum attribute), [1] FractionOutsideTolerance3 (greykite.common.evaluation.EvaluationMetricEnum attribute), [1] FractionOutsideTolerance4 (greykite.common.evaluation.EvaluationMetricEnum attribute), [1] FractionOutsideTolerance5 (greykite.common.evaluation.EvaluationMetricEnum attribute), [1] freq (greykite.framework.input.univariate_time_series.UnivariateTimeSeries attribute), [1] (greykite.framework.templates.autogen.forecast_config.MetadataParam attribute), [1] (greykite.framework.templates.simple_silverkite_template_config.SimpleSilverkiteTemplateOptions attribute), [1], [2], [3]

G

get_available_holiday_lookup_countries() (in module greykite.common.features.timeseries_features), [1] get_available_holidays_across_countries() (in module greykite.common.features.timeseries_features), [1] get_basic_pipeline() (in module greykite.framework.pipeline.utils), [1] get_best_index() (in module greykite.framework.pipeline.utils), [1] get_coef_summary() (greykite.algo.common.model_summary.ModelSummary method), [1] get_data_home() (greykite.common.data_loader.DataLoader static method), [1] (greykite.framework.benchmark.data_loader_ts.DataLoaderTS static method), [1] get_data_inventory() (greykite.common.data_loader.DataLoader method), [1] (greykite.framework.benchmark.data_loader_ts.DataLoaderTS method), [1] get_data_names() (greykite.common.data_loader.DataLoader static method), [1] (greykite.framework.benchmark.data_loader_ts.DataLoaderTS static method), [1] get_df() (greykite.common.data_loader.DataLoader method), [1] (greykite.framework.benchmark.data_loader_ts.DataLoaderTS method), [1] get_evaluation_metrics() (greykite.framework.benchmark.benchmark_class.BenchmarkForecastConfig method), [1] get_event_pred_cols() (in module greykite.algo.forecast.silverkite.forecast_simple_silverkite_helper), [1] get_flexible_grouping_evaluation() (greykite.framework.output.univariate_forecast.UnivariateForecast method), [1] get_forecast() (in module greykite.framework.pipeline.utils), [1] get_forecast_time_properties() (greykite.framework.templates.prophet_template.ProphetTemplate method), [1] (greykite.framework.templates.silverkite_template.SilverkiteTemplate method), [1] (greykite.framework.templates.simple_silverkite_template.SimpleSilverkiteTemplate method), [1] get_grouping_evaluation() (greykite.framework.input.univariate_time_series.UnivariateTimeSeries method), [1] (greykite.framework.output.univariate_forecast.UnivariateForecast method), [1] get_grouping_evaluation_metrics() (greykite.framework.benchmark.benchmark_class.BenchmarkForecastConfig method), [1] get_holidays() (in module greykite.common.features.timeseries_features), [1] get_hyperparameter_grid() (greykite.framework.templates.prophet_template.ProphetTemplate method), [1] (greykite.framework.templates.silverkite_template.SilverkiteTemplate method), [1] (greykite.framework.templates.simple_silverkite_template.SimpleSilverkiteTemplate method), [1] get_hyperparameter_searcher() (in module greykite.framework.pipeline.utils), [1] get_metric_func() (greykite.common.evaluation.EvaluationMetricEnum method), [1] get_metric_greater_is_better() (greykite.common.evaluation.EvaluationMetricEnum method), [1] get_metric_name() (greykite.common.evaluation.EvaluationMetricEnum method), [1] get_model_components_from_model_template() (greykite.framework.templates.simple_silverkite_template.SimpleSilverkiteTemplate method), [1] get_n_splits() (greykite.sklearn.cross_validation.RollingTimeSeriesSplit method), [1] get_n_splits_without_capping() (greykite.sklearn.cross_validation.RollingTimeSeriesSplit method), [1] get_params() (greykite.sklearn.estimator.base_silverkite_estimator.BaseSilverkiteEstimator method), [1] (greykite.sklearn.estimator.prophet_estimator.ProphetEstimator method), [1] (greykite.sklearn.estimator.silverkite_estimator.SilverkiteEstimator method), [1] (greykite.sklearn.estimator.simple_silverkite_estimator.SimpleSilverkiteEstimator method), [1] (greykite.sklearn.transform.drop_degenerate_transformer.DropDegenerateTransformer method), [1] (greykite.sklearn.transform.normalize_transformer.NormalizeTransformer method), [1] (greykite.sklearn.transform.null_transformer.NullTransformer method), [1] (greykite.sklearn.transform.zscore_outlier_transformer.ZscoreOutlierTransformer method), [1]

get_pipeline() (greykite.framework.templates.prophet_template.ProphetTemplate method), [1] (greykite.framework.templates.silverkite_template.SilverkiteTemplate method), [1] (greykite.framework.templates.simple_silverkite_template.SimpleSilverkiteTemplate method), [1] get_prophet_holidays() (greykite.framework.templates.prophet_template.ProphetTemplate method), [1] get_quantiles_and_overlays() (greykite.framework.input.univariate_time_series.UnivariateTimeSeries method), [1] get_ranks_and_splits() (in module greykite.framework.utils.result_summary), [1] get_regressor_cols() (greykite.framework.templates.prophet_template.ProphetTemplate method), [1] (greykite.framework.templates.silverkite_template.SilverkiteTemplate method), [1] (greykite.framework.templates.simple_silverkite_template.SimpleSilverkiteTemplate method), [1] get_runtimes() (greykite.framework.benchmark.benchmark_class.BenchmarkForecastConfig method), [1] get_score_func_with_aggregation() (in module greykite.framework.pipeline.utils), [1] get_scoring_and_refit() (in module greykite.framework.pipeline.utils), [1] get_silverkite_column() (greykite.algo.forecast.silverkite.constants.silverkite_constant.SilverkiteConstant method), [1] get_silverkite_components_enum() (greykite.algo.forecast.silverkite.constants.silverkite_constant.SilverkiteConstant method), [1] get_silverkite_holiday() (greykite.algo.forecast.silverkite.constants.silverkite_constant.SilverkiteConstant method), [1] get_silverkite_seasonality_enum() (greykite.algo.forecast.silverkite.constants.silverkite_constant.SilverkiteConstant method), [1] get_silverkite_time_frequency_enum() (greykite.algo.forecast.silverkite.constants.silverkite_constant.SilverkiteConstant method), [1] get_silverkite_uncertainty_dict() (in module greykite.algo.forecast.silverkite.forecast_silverkite_helper), [1] get_valid_config_names() (greykite.framework.benchmark.benchmark_class.BenchmarkForecastConfig method), [1] gr (greykite.framework.templates.simple_silverkite_template_config.SimpleSilverkiteTemplateOptions attribute), [1], [2], [3] greykite.common.constants module, [1] greykite.framework.constants module, [1] greykite.framework.templates.simple_silverkite_template_config module, [1] greykite.sklearn.transform.drop_degenerate_transformer module, [1] greykite.sklearn.transform.normalize_transformer module, [1] greykite.sklearn.transform.null_transformer module, [1] greykite.sklearn.transform.zscore_outlier_transformer module, [1] grid_search (greykite.framework.pipeline.pipeline.ForecastResult attribute), [1] growth (greykite.framework.templates.autogen.forecast_config.ModelComponentsParam attribute), [1] GROWTH_COL_ALIAS (in module greykite.common.constants), [1]

H

hol (greykite.framework.templates.simple_silverkite_template_config.SimpleSilverkiteTemplateOptions attribute), [1], [2], [3] HOLIDAY_LOOKUP_COUNTRIES_AUTO (greykite.algo.forecast.silverkite.constants.silverkite_holiday.SilverkiteHoliday attribute), [1] (greykite.framework.templates.prophet_template.ProphetTemplate attribute), [1]

HOLIDAYS_TO_INTERACT (greykite.algo.forecast.silverkite.constants.silverkite_holiday.SilverkiteHoliday attribute), [1] HOLIDAYS_TO_MODEL_SEPARATELY_AUTO (greykite.algo.forecast.silverkite.constants.silverkite_holiday.SilverkiteHoliday attribute), [1] hyperparameter_budget (greykite.framework.templates.autogen.forecast_config.ComputationParam attribute), [1] hyperparameter_override (greykite.framework.templates.autogen.forecast_config.ModelComponentsParam attribute), [1]

I

impute_with_lags() (in module greykite.common.features.timeseries_impute), [1] impute_with_lags_multi() (in module greykite.common.features.timeseries_impute), [1]

info_dict (greykite.algo.common.model_summary.ModelSummary attribute), [1] is_run (greykite.framework.benchmark.benchmark_class.BenchmarkForecastConfig attribute), [1]

K

keep_cols (greykite.sklearn.transform.drop_degenerate_transformer.DropDegenerateTransformer attribute), [1]

L

LAG_INFIX (in module greykite.common.constants), [1] LAG_REGEX (in module greykite.common.constants), [1] last_date_for_reg (greykite.framework.input.univariate_time_series.UnivariateTimeSeries attribute), [1] last_date_for_val (greykite.framework.input.univariate_time_series.UnivariateTimeSeries attribute), [1] load_beijing_pm() (greykite.common.data_loader.DataLoader method), [1] (greykite.framework.benchmark.data_loader_ts.DataLoaderTS method), [1] load_beijing_pm_ts() (greykite.framework.benchmark.data_loader_ts.DataLoaderTS method), [1] load_bikesharing() (greykite.common.data_loader.DataLoader method), [1] (greykite.framework.benchmark.data_loader_ts.DataLoaderTS method), [1] load_bikesharing_ts() (greykite.framework.benchmark.data_loader_ts.DataLoaderTS method), [1] load_data() (greykite.common.data_loader.DataLoader method), [1] (greykite.framework.benchmark.data_loader_ts.DataLoaderTS method), [1] (greykite.framework.input.univariate_time_series.UnivariateTimeSeries method), [1]

load_data_ts() (greykite.framework.benchmark.data_loader_ts.DataLoaderTS method), [1] load_parking() (greykite.common.data_loader.DataLoader method), [1] (greykite.framework.benchmark.data_loader_ts.DataLoaderTS method), [1] load_parking_ts() (greykite.framework.benchmark.data_loader_ts.DataLoaderTS method), [1] load_peyton_manning() (greykite.common.data_loader.DataLoader method), [1] (greykite.framework.benchmark.data_loader_ts.DataLoaderTS method), [1] load_peyton_manning_ts() (greykite.framework.benchmark.data_loader_ts.DataLoaderTS method), [1] LOGGER_NAME (in module greykite.common.constants), [1] LOWER_BAND_COVERAGE (in module greykite.common.constants), [1]

M

make_future_dataframe() (greykite.framework.input.univariate_time_series.UnivariateTimeSeries method), [1] make_univariate_time_series() (greykite.framework.output.univariate_forecast.UnivariateForecast method), [1] max_colwidth (greykite.algo.common.model_summary.ModelSummary attribute), [1] mean (greykite.sklearn.transform.zscore_outlier_transformer.ZscoreOutlierTransformer attribute), [1] MEAN_COL_GROUP (in module greykite.framework.constants), [1] MeanAbsoluteError (greykite.common.evaluation.EvaluationMetricEnum attribute), [1] MeanAbsolutePercentError (greykite.common.evaluation.EvaluationMetricEnum attribute), [1] MeanSquaredError (greykite.common.evaluation.EvaluationMetricEnum attribute), [1] MedianAbsoluteError (greykite.common.evaluation.EvaluationMetricEnum attribute), [1] MedianAbsolutePercentError (greykite.common.evaluation.EvaluationMetricEnum attribute), [1] metadata_param (greykite.framework.templates.autogen.forecast_config.ForecastConfig attribute), [1] MetadataParam (class in greykite.framework.templates.autogen.forecast_config), [1] METRIC_COL (in module greykite.common.constants), [1] min_splits (greykite.sklearn.cross_validation.RollingTimeSeriesSplit attribute), [1] missing_info (greykite.sklearn.transform.null_transformer.NullTransformer attribute), [1] ml_model (greykite.algo.common.model_summary.ModelSummary attribute), [1] model (greykite.framework.pipeline.pipeline.ForecastResult attribute), [1] (greykite.sklearn.estimator.prophet_estimator.ProphetEstimator attribute), [1] model_components_param (greykite.framework.templates.autogen.forecast_config.ForecastConfig attribute), [1]

model_dict (greykite.sklearn.estimator.base_silverkite_estimator.BaseSilverkiteEstimator attribute), [1] model_summary (greykite.sklearn.estimator.base_silverkite_estimator.BaseSilverkiteEstimator attribute), [1] model_template (greykite.framework.templates.autogen.forecast_config.ForecastConfig attribute), [1] model_template_enum (greykite.framework.templates.forecaster.Forecaster attribute), [1] ModelComponentsParam (class in greykite.framework.templates.autogen.forecast_config), [1] ModelSummary (class in greykite.algo.common.model_summary), [1] ModelTemplate (class in greykite.framework.templates.model_templates), [1] ModelTemplateEnum (class in greykite.framework.templates.model_templates), [1] module greykite.common.constants, [1] greykite.framework.constants, [1] greykite.framework.templates.simple_silverkite_template_config, [1] greykite.sklearn.transform.drop_degenerate_transformer, [1] greykite.sklearn.transform.normalize_transformer, [1] greykite.sklearn.transform.null_transformer, [1] greykite.sklearn.transform.zscore_outlier_transformer, [1] MONTHLY_SEASONALITY (greykite.algo.forecast.silverkite.constants.silverkite_seasonality.SilverkiteSeasonalityEnum attribute), [1], [2], [3] MULTI_TEMPLATES (greykite.framework.templates.simple_silverkite_template_config.SimpleSilverkiteTemplateConstants attribute), [1] (in module greykite.framework.templates.simple_silverkite_template_config), [1]

N

n_jobs (greykite.framework.templates.autogen.forecast_config.ComputationParam attribute), [1] NormalizeTransformer (class in greykite.sklearn.transform.normalize_transformer), [1] null_frac (greykite.sklearn.transform.null_transformer.NullTransformer attribute), [1]

null_model_params (greykite.framework.templates.autogen.forecast_config.EvaluationMetricParam attribute), [1] null_model_predicted_col (greykite.framework.output.univariate_forecast.UnivariateForecast attribute), [1] NULL_PREDICTED_COL (in module greykite.common.constants), [1] NullTransformer (class in greykite.sklearn.transform.null_transformer), [1]

O

original_df (greykite.algo.changepoint.adalasso.changepoint_detector.ChangepointDetector attribute), [1] original_time_col (greykite.framework.input.univariate_time_series.UnivariateTimeSeries attribute), [1]

original_value_col (greykite.framework.input.univariate_time_series.UnivariateTimeSeries attribute), [1] OVERLAY_COL_GROUP (in module greykite.framework.constants), [1]

P

partition_fut_df() (greykite.algo.forecast.silverkite.forecast_silverkite.SilverkiteForecast method), [1] (greykite.algo.forecast.silverkite.forecast_simple_silverkite.SimpleSilverkiteForecast method), [1] periods_between_train_test (greykite.framework.templates.autogen.forecast_config.EvaluationPeriodParam attribute), [1] pipeline_params (greykite.framework.templates.forecaster.Forecaster attribute), [1] plot() (greykite.algo.changepoint.adalasso.changepoint_detector.ChangepointDetector method), [1] (greykite.framework.input.univariate_time_series.UnivariateTimeSeries method), [1] (greykite.framework.output.univariate_forecast.UnivariateForecast method), [1] plot_components() (greykite.framework.output.univariate_forecast.UnivariateForecast method), [1] (greykite.sklearn.estimator.prophet_estimator.ProphetEstimator method), [1] plot_evaluation_metrics() (greykite.framework.benchmark.benchmark_class.BenchmarkForecastConfig method), [1] plot_flexible_grouping_evaluation() (greykite.framework.output.univariate_forecast.UnivariateForecast method), [1] plot_forecast_vs_actual() (in module greykite.common.viz.timeseries_plotting), [1] plot_forecasts_by_config() (greykite.framework.benchmark.benchmark_class.BenchmarkForecastConfig method), [1] plot_forecasts_by_step() (greykite.framework.benchmark.benchmark_class.BenchmarkForecastConfig method), [1] plot_grouping_evaluation() (greykite.framework.input.univariate_time_series.UnivariateTimeSeries method), [1] (greykite.framework.output.univariate_forecast.UnivariateForecast method), [1] plot_grouping_evaluation_metrics() (greykite.framework.benchmark.benchmark_class.BenchmarkForecastConfig method), [1] plot_multivariate() (in module greykite.common.viz.timeseries_plotting), [1] plot_quantiles_and_overlays() (greykite.framework.input.univariate_time_series.UnivariateTimeSeries method), [1] plot_runtimes() (greykite.framework.benchmark.benchmark_class.BenchmarkForecastConfig method), [1] plot_seasonalities() (greykite.sklearn.estimator.base_silverkite_estimator.BaseSilverkiteEstimator method), [1] (greykite.sklearn.estimator.silverkite_estimator.SilverkiteEstimator method), [1] (greykite.sklearn.estimator.simple_silverkite_estimator.SimpleSilverkiteEstimator method), [1] plot_trend() (greykite.sklearn.estimator.base_silverkite_estimator.BaseSilverkiteEstimator method), [1] (greykite.sklearn.estimator.silverkite_estimator.SilverkiteEstimator method), [1] (greykite.sklearn.estimator.simple_silverkite_estimator.SimpleSilverkiteEstimator method), [1] plot_trend_changepoint_detection() (greykite.sklearn.estimator.base_silverkite_estimator.BaseSilverkiteEstimator method), [1] (greykite.sklearn.estimator.silverkite_estimator.SilverkiteEstimator method), [1] (greykite.sklearn.estimator.simple_silverkite_estimator.SimpleSilverkiteEstimator method), [1] plot_univariate() (in module greykite.common.viz.timeseries_plotting), [1] pred_category (greykite.algo.common.model_summary.ModelSummary attribute), [1]

pred_category() (greykite.sklearn.estimator.base_silverkite_estimator.BaseSilverkiteEstimator property), [1] (greykite.sklearn.estimator.silverkite_estimator.SilverkiteEstimator property), [1] (greykite.sklearn.estimator.simple_silverkite_estimator.SimpleSilverkiteEstimator property), [1] pred_cols (greykite.algo.common.model_summary.ModelSummary attribute), [1] (greykite.sklearn.estimator.base_silverkite_estimator.BaseSilverkiteEstimator attribute), [1] predict() (greykite.algo.forecast.silverkite.forecast_silverkite.SilverkiteForecast method), [1] (greykite.algo.forecast.silverkite.forecast_simple_silverkite.SimpleSilverkiteForecast method), [1] (greykite.sklearn.estimator.base_silverkite_estimator.BaseSilverkiteEstimator method), [1] (greykite.sklearn.estimator.prophet_estimator.ProphetEstimator method), [1] (greykite.sklearn.estimator.silverkite_estimator.SilverkiteEstimator method), [1] (greykite.sklearn.estimator.simple_silverkite_estimator.SimpleSilverkiteEstimator method), [1] predict_n() (greykite.algo.forecast.silverkite.forecast_silverkite.SilverkiteForecast method), [1] (greykite.algo.forecast.silverkite.forecast_simple_silverkite.SimpleSilverkiteForecast method), [1] predict_n_no_sim() (greykite.algo.forecast.silverkite.forecast_silverkite.SilverkiteForecast method), [1] (greykite.algo.forecast.silverkite.forecast_simple_silverkite.SimpleSilverkiteForecast method), [1] predict_n_via_sim() (greykite.algo.forecast.silverkite.forecast_silverkite.SilverkiteForecast method), [1] (greykite.algo.forecast.silverkite.forecast_simple_silverkite.SimpleSilverkiteForecast method), [1] predict_no_sim() (greykite.algo.forecast.silverkite.forecast_silverkite.SilverkiteForecast method), [1] (greykite.algo.forecast.silverkite.forecast_simple_silverkite.SimpleSilverkiteForecast method), [1] predict_via_sim() (greykite.algo.forecast.silverkite.forecast_silverkite.SilverkiteForecast method), [1] (greykite.algo.forecast.silverkite.forecast_simple_silverkite.SimpleSilverkiteForecast method), [1] predicted_col (greykite.framework.output.univariate_forecast.UnivariateForecast attribute), [1] PREDICTED_COL (in module greykite.common.constants), [1] predicted_lower_col (greykite.framework.output.univariate_forecast.UnivariateForecast attribute), [1] PREDICTED_LOWER_COL (in module greykite.common.constants), [1] predicted_upper_col (greykite.framework.output.univariate_forecast.UnivariateForecast attribute), [1] PREDICTED_UPPER_COL (in module greykite.common.constants), [1] PREDICTION_BAND_COVERAGE (in module greykite.common.constants), [1] PREDICTION_BAND_WIDTH (in module greykite.common.constants), [1] PROPHET (greykite.framework.templates.model_templates.ModelTemplateEnum attribute), [1] ProphetEstimator (class in greykite.sklearn.estimator.prophet_estimator), [1] ProphetTemplate (class in greykite.framework.templates.prophet_template), [1]

Q

Quantile80 (greykite.common.evaluation.EvaluationMetricEnum attribute), [1] Quantile95 (greykite.common.evaluation.EvaluationMetricEnum attribute), [1]

Quantile99 (greykite.common.evaluation.EvaluationMetricEnum attribute), [1] QUANTILE_COL_GROUP (in module greykite.framework.constants), [1] QUARTERLY_SEASONALITY (greykite.algo.forecast.silverkite.constants.silverkite_seasonality.SilverkiteSeasonalityEnum attribute), [1], [2], [3]

R

r2_loss_function (greykite.framework.output.univariate_forecast.UnivariateForecast attribute), [1] R2_null_model_score (in module greykite.common.constants), [1] r2_null_model_score() (in module greykite.common.evaluation), [1] regressor_cols (greykite.framework.input.univariate_time_series.UnivariateTimeSeries attribute), [1] regressors (greykite.framework.templates.autogen.forecast_config.ModelComponentsParam attribute), [1] relative_error_tolerance (greykite.framework.output.univariate_forecast.UnivariateForecast attribute), [1] (greykite.framework.templates.autogen.forecast_config.EvaluationMetricParam attribute), [1]

result (greykite.framework.benchmark.benchmark_class.BenchmarkForecastConfig attribute), [1] RollingTimeSeriesSplit (class in greykite.sklearn.cross_validation), [1] RootMeanSquaredError (greykite.common.evaluation.EvaluationMetricEnum attribute), [1] run() (greykite.framework.benchmark.benchmark_class.BenchmarkForecastConfig method), [1] run_forecast_config() (greykite.framework.templates.forecaster.Forecaster method), [1] run_forecast_json() (greykite.framework.templates.forecaster.Forecaster method), [1]

S

scaler (greykite.sklearn.transform.normalize_transformer.NormalizeTransformer attribute), [1] score() (greykite.sklearn.estimator.base_silverkite_estimator.BaseSilverkiteEstimator method), [1] (greykite.sklearn.estimator.prophet_estimator.ProphetEstimator method), [1] (greykite.sklearn.estimator.silverkite_estimator.SilverkiteEstimator method), [1] (greykite.sklearn.estimator.simple_silverkite_estimator.SimpleSilverkiteEstimator method), [1] seas (greykite.framework.templates.simple_silverkite_template_config.SimpleSilverkiteTemplateOptions attribute), [1], [2], [3] seasonality (greykite.framework.templates.autogen.forecast_config.ModelComponentsParam attribute), [1] seasonality_changepoints (greykite.algo.changepoint.adalasso.changepoint_detector.ChangepointDetector attribute), [1] seasonality_df (greykite.algo.changepoint.adalasso.changepoint_detector.ChangepointDetector attribute), [1] seasonality_estimation (greykite.algo.changepoint.adalasso.changepoint_detector.ChangepointDetector attribute), [1] SEASONALITY_REGEX (in module greykite.common.constants), [1] set_params() (greykite.sklearn.estimator.base_silverkite_estimator.BaseSilverkiteEstimator method), [1] (greykite.sklearn.estimator.prophet_estimator.ProphetEstimator method), [1] (greykite.sklearn.estimator.silverkite_estimator.SilverkiteEstimator method), [1] (greykite.sklearn.estimator.simple_silverkite_estimator.SimpleSilverkiteEstimator method), [1] (greykite.sklearn.transform.drop_degenerate_transformer.DropDegenerateTransformer method), [1] (greykite.sklearn.transform.normalize_transformer.NormalizeTransformer method), [1] (greykite.sklearn.transform.null_transformer.NullTransformer method), [1] (greykite.sklearn.transform.zscore_outlier_transformer.ZscoreOutlierTransformer method), [1] SILVERKITE (greykite.framework.templates.model_templates.ModelTemplateEnum attribute), [1] (greykite.framework.templates.simple_silverkite_template_config.SimpleSilverkiteTemplateConstants attribute), [1] silverkite (greykite.sklearn.estimator.base_silverkite_estimator.BaseSilverkiteEstimator attribute), [1] SILVERKITE (in module greykite.framework.templates.simple_silverkite_template_config), [1] SILVERKITE_ALGO (class in greykite.framework.templates.simple_silverkite_template_config), [1] SILVERKITE_AR (class in greykite.framework.templates.simple_silverkite_template_config), [1] SILVERKITE_COMPONENT_KEYWORDS (class in greykite.framework.templates.simple_silverkite_template_config), [1] SILVERKITE_CP (class in greykite.framework.templates.simple_silverkite_template_config), [1] SILVERKITE_DAILY_90 (greykite.framework.templates.model_templates.ModelTemplateEnum attribute), [1] silverkite_diagnostics (greykite.sklearn.estimator.base_silverkite_estimator.BaseSilverkiteEstimator attribute), [1] SILVERKITE_DSI (class in greykite.framework.templates.simple_silverkite_template_config), [1] SILVERKITE_EMPTY (greykite.framework.templates.model_templates.ModelTemplateEnum attribute), [1] (greykite.framework.templates.simple_silverkite_template_config.SimpleSilverkiteTemplateConstants attribute), [1] SILVERKITE_FEASET (class in greykite.framework.templates.simple_silverkite_template_config), [1] SILVERKITE_FREQ (class in greykite.framework.templates.simple_silverkite_template_config), [1] SILVERKITE_GR (class in greykite.framework.templates.simple_silverkite_template_config), [1] SILVERKITE_HOL (class in greykite.framework.templates.simple_silverkite_template_config), [1] SILVERKITE_HOURLY_1 (greykite.framework.templates.model_templates.ModelTemplateEnum attribute), [1]

SILVERKITE_HOURLY_168 (greykite.framework.templates.model_templates.ModelTemplateEnum attribute), [1] SILVERKITE_HOURLY_24 (greykite.framework.templates.model_templates.ModelTemplateEnum attribute), [1] SILVERKITE_HOURLY_336 (greykite.framework.templates.model_templates.ModelTemplateEnum attribute), [1] SILVERKITE_SEAS (class in greykite.framework.templates.simple_silverkite_template_config), [1] SILVERKITE_WEEKLY (greykite.framework.templates.model_templates.ModelTemplateEnum attribute), [1] SILVERKITE_WSI (class in greykite.framework.templates.simple_silverkite_template_config), [1] SilverkiteColumn (class in greykite.algo.forecast.silverkite.constants.silverkite_column), [1] SilverkiteComponentsEnum (class in greykite.algo.forecast.silverkite.constants.silverkite_component), [1] SilverkiteConstant (class in greykite.algo.forecast.silverkite.constants.silverkite_constant), [1] SilverkiteEstimator (class in greykite.sklearn.estimator.silverkite_estimator), [1] SilverkiteForecast (class in greykite.algo.forecast.silverkite.forecast_silverkite), [1] SilverkiteHoliday (class in greykite.algo.forecast.silverkite.constants.silverkite_holiday), [1] SilverkiteSeasonalityEnum (class in greykite.algo.forecast.silverkite.constants.silverkite_seasonality), [1], [2], [3] SilverkiteTemplate (class in greykite.framework.templates.silverkite_template), [1] SilverkiteTimeFrequencyEnum (class in greykite.algo.forecast.silverkite.constants.silverkite_time_frequency), [1] SimpleSilverkiteEstimator (class in greykite.sklearn.estimator.simple_silverkite_estimator), [1] SimpleSilverkiteForecast (class in greykite.algo.forecast.silverkite.forecast_simple_silverkite), [1] SimpleSilverkiteTemplate (class in greykite.framework.templates.simple_silverkite_template), [1] SimpleSilverkiteTemplateConstants (class in greykite.framework.templates.simple_silverkite_template_config), [1] SimpleSilverkiteTemplateConstants.SILVERKITE_COMPONENT_KEYWORDS (class in greykite.framework.templates.simple_silverkite_template_config), [1] SimpleSilverkiteTemplateConstants.SimpleSilverkiteTemplateOptions (class in greykite.framework.templates.simple_silverkite_template_config), [1] SimpleSilverkiteTemplateOptions (class in greykite.framework.templates.simple_silverkite_template_config), [1], [2], [3] simulate() (greykite.algo.forecast.silverkite.forecast_silverkite.SilverkiteForecast method), [1] (greykite.algo.forecast.silverkite.forecast_simple_silverkite.SimpleSilverkiteForecast method), [1] simulate_multi() (greykite.algo.forecast.silverkite.forecast_silverkite.SilverkiteForecast method), [1] (greykite.algo.forecast.silverkite.forecast_simple_silverkite.SimpleSilverkiteForecast method), [1] SINGLE_MODEL_TEMPLATE_TYPE (in module greykite.framework.templates.simple_silverkite_template_config), [1] SK (greykite.framework.templates.model_templates.ModelTemplateEnum attribute), [1] split() (greykite.sklearn.cross_validation.RollingTimeSeriesSplit method), [1] START_DATE_COL (in module greykite.common.constants), [1] std (greykite.sklearn.transform.zscore_outlier_transformer.ZscoreOutlierTransformer attribute), [1] summarize_grid_search_results() (in module greykite.framework.utils.result_summary), [1] summary() (greykite.sklearn.estimator.base_silverkite_estimator.BaseSilverkiteEstimator method), [1] (greykite.sklearn.estimator.prophet_estimator.ProphetEstimator method), [1] (greykite.sklearn.estimator.silverkite_estimator.SilverkiteEstimator method), [1] (greykite.sklearn.estimator.simple_silverkite_estimator.SimpleSilverkiteEstimator method), [1] SymmetricMeanAbsolutePercentError (greykite.common.evaluation.EvaluationMetricEnum attribute), [1]

T

template (greykite.framework.templates.forecaster.Forecaster attribute), [1] template_class (greykite.framework.templates.forecaster.Forecaster attribute), [1] (greykite.framework.templates.model_templates.ModelTemplate attribute), [1] test_evaluation (greykite.framework.output.univariate_forecast.UnivariateForecast attribute), [1] test_horizon (greykite.framework.templates.autogen.forecast_config.EvaluationPeriodParam attribute), [1] test_na_count (greykite.framework.output.univariate_forecast.UnivariateForecast attribute), [1] test_start_date (greykite.framework.output.univariate_forecast.UnivariateForecast attribute), [1] time_col (greykite.algo.changepoint.adalasso.changepoint_detector.ChangepointDetector attribute), [1] (greykite.framework.output.univariate_forecast.UnivariateForecast attribute), [1] (greykite.framework.templates.autogen.forecast_config.MetadataParam attribute), [1] TIME_COL (in module greykite.common.constants), [1] TIME_FEATURES (in module greykite.common.constants), [1] time_stats (greykite.framework.input.univariate_time_series.UnivariateTimeSeries attribute), [1] timeseries (greykite.framework.pipeline.pipeline.ForecastResult attribute), [1] train_end_date (greykite.framework.input.univariate_time_series.UnivariateTimeSeries attribute), [1] (greykite.framework.output.univariate_forecast.UnivariateForecast attribute), [1] (greykite.framework.templates.autogen.forecast_config.MetadataParam attribute), [1]

train_evaluation (greykite.framework.output.univariate_forecast.UnivariateForecast attribute), [1] transform() (greykite.sklearn.transform.drop_degenerate_transformer.DropDegenerateTransformer method), [1] (greykite.sklearn.transform.normalize_transformer.NormalizeTransformer method), [1] (greykite.sklearn.transform.null_transformer.NullTransformer method), [1] (greykite.sklearn.transform.zscore_outlier_transformer.ZscoreOutlierTransformer method), [1] trend_changepoints (greykite.algo.changepoint.adalasso.changepoint_detector.ChangepointDetector attribute), [1] trend_coef (greykite.algo.changepoint.adalasso.changepoint_detector.ChangepointDetector attribute), [1] trend_df (greykite.algo.changepoint.adalasso.changepoint_detector.ChangepointDetector attribute), [1] trend_estimation (greykite.algo.changepoint.adalasso.changepoint_detector.ChangepointDetector attribute), [1] trend_intercept (greykite.algo.changepoint.adalasso.changepoint_detector.ChangepointDetector attribute), [1] trend_model (greykite.algo.changepoint.adalasso.changepoint_detector.ChangepointDetector attribute), [1] trend_potential_changepoint_n (greykite.algo.changepoint.adalasso.changepoint_detector.ChangepointDetector attribute), [1] TREND_REGEX (in module greykite.common.constants), [1] tscv (greykite.framework.benchmark.benchmark_class.BenchmarkForecastConfig attribute), [1]

U

uncertainty (greykite.framework.templates.autogen.forecast_config.ModelComponentsParam attribute), [1] UnivariateForecast (class in greykite.framework.output.univariate_forecast), [1]

UnivariateTimeSeries (class in greykite.framework.input.univariate_time_series), [1] UPPER_BAND_COVERAGE (in module greykite.common.constants), [1]

V

VALID_FREQ (greykite.framework.templates.simple_silverkite_template_config.SimpleSilverkiteTemplateConstants attribute), [1] (in module greykite.framework.templates.simple_silverkite_template_config), [1] validate() (greykite.framework.benchmark.benchmark_class.BenchmarkForecastConfig method), [1] validate_fs_components_df() (greykite.sklearn.estimator.silverkite_estimator.SilverkiteEstimator static method), [1] validate_inputs() (greykite.sklearn.estimator.silverkite_estimator.SilverkiteEstimator method), [1]

value_col (greykite.algo.changepoint.adalasso.changepoint_detector.ChangepointDetector attribute), [1] (greykite.framework.templates.autogen.forecast_config.MetadataParam attribute), [1] VALUE_COL (in module greykite.common.constants), [1] value_stats (greykite.framework.input.univariate_time_series.UnivariateTimeSeries attribute), [1] verbose (greykite.framework.templates.autogen.forecast_config.ComputationParam attribute), [1]

W

WEEKLY_SEASONALITY (greykite.algo.forecast.silverkite.constants.silverkite_seasonality.SilverkiteSeasonalityEnum attribute), [1], [2], [3]

wsi (greykite.framework.templates.simple_silverkite_template_config.SimpleSilverkiteTemplateOptions attribute), [1], [2], [3]

X

x (greykite.algo.common.model_summary.ModelSummary attribute), [1]

Y

y (greykite.algo.changepoint.adalasso.changepoint_detector.ChangepointDetector attribute), [1] (greykite.algo.common.model_summary.ModelSummary attribute), [1] (greykite.framework.input.univariate_time_series.UnivariateTimeSeries attribute), [1]

YEARLY_SEASONALITY (greykite.algo.forecast.silverkite.constants.silverkite_seasonality.SilverkiteSeasonalityEnum attribute), [1], [2], [3] yearly_seasonality_order (greykite.algo.changepoint.adalasso.changepoint_detector.ChangepointDetector attribute), [1] ylabel (greykite.framework.output.univariate_forecast.UnivariateForecast attribute), [1]

Z

ZscoreOutlierTransformer (class in greykite.sklearn.transform.zscore_outlier_transformer), [1]