autotsΒΆ
- autots package
- Subpackages
- autots.datasets package
- autots.evaluator package
- Submodules
- autots.evaluator.anomaly_detector module
- autots.evaluator.auto_model module
- autots.evaluator.auto_ts module
- autots.evaluator.benchmark module
- autots.evaluator.event_forecasting module
- autots.evaluator.feature_detector module
- autots.evaluator.metrics module
- autots.evaluator.validation module
- Module contents
- autots.mcp package
- autots.models package
- Submodules
- autots.models.arch module
- autots.models.base module
- autots.models.basics module
- autots.models.cassandra module
- autots.models.composite module
- autots.models.deepssm module
- autots.models.dnn module
- autots.models.ensemble module
- autots.models.gluonts module
- autots.models.matrix_var module
- autots.models.mlensemble module
- autots.models.model_list module
- autots.models.neural_forecast module
- autots.models.prophet module
- autots.models.pytorch module
- autots.models.sklearn module
- autots.models.statsmodels module
- autots.models.tide module
- Module contents
- autots.templates package
- autots.tools package
- Submodules
- autots.tools.anomaly_utils module
- autots.tools.autoencoder module
- autots.tools.bayesian_regression module
- autots.tools.calendar module
- autots.tools.changepoints module
- autots.tools.cointegration module
- autots.tools.constraint module
- autots.tools.cpu_count module
- autots.tools.fast_kalman module
- autots.tools.fast_kalman_params module
- autots.tools.fft module
- autots.tools.fir_filter module
- autots.tools.g7xx_codec module
- autots.tools.hierarchial module
- autots.tools.holiday module
- autots.tools.impute module
- autots.tools.kalman module
- autots.tools.lunar module
- autots.tools.mocks module
- autots.tools.percentile module
- autots.tools.plotting module
- autots.tools.probabilistic module
- autots.tools.profile module
- autots.tools.regressor module
- autots.tools.seasonal module
- autots.tools.shaping module
- autots.tools.thresholding module
- autots.tools.transform module
- autots.tools.wavelet module
- autots.tools.window_functions module
- Module contents
- Module contents
AnomalyDetectorAutoTSAutoTS.best_modelAutoTS.best_model_nameAutoTS.best_model_paramsAutoTS.best_model_transformation_paramsAutoTS.best_model_ensembleAutoTS.used_frequencyAutoTS.regression_checkAutoTS.df_wide_numericAutoTS.score_per_seriesAutoTS.back_forecast()AutoTS.best_model_per_series_mape()AutoTS.best_model_per_series_score()AutoTS.best_model_str_val_results()AutoTS.create_unpredictability_score()AutoTS.diagnose_params()AutoTS.diagnose_params_new()AutoTS.expand_horizontal()AutoTS.export_best_model()AutoTS.export_template()AutoTS.failure_rate()AutoTS.fit()AutoTS.fit_data()AutoTS.get_metric_corr()AutoTS.get_new_params()AutoTS.get_params_from_id()AutoTS.get_top_n_counts()AutoTS.horizontal_per_generation()AutoTS.horizontal_to_df()AutoTS.import_best_model()AutoTS.import_results()AutoTS.import_template()AutoTS.list_failed_model_types()AutoTS.load_template()AutoTS.mosaic_to_df()AutoTS.parse_best_model()AutoTS.plot_back_forecast()AutoTS.plot_backforecast()AutoTS.plot_chosen_transformer()AutoTS.plot_failure_rate()AutoTS.plot_generation_loss()AutoTS.plot_horizontal()AutoTS.plot_horizontal_model_count()AutoTS.plot_horizontal_per_generation()AutoTS.plot_horizontal_transformers()AutoTS.plot_metric_corr()AutoTS.plot_model_failure_rate()AutoTS.plot_mosaic()AutoTS.plot_per_series_error()AutoTS.plot_per_series_mape()AutoTS.plot_per_series_smape()AutoTS.plot_series_corr()AutoTS.plot_transformer_by_class()AutoTS.plot_transformer_failure_rate()AutoTS.plot_unpredictability()AutoTS.plot_validations()AutoTS.predict()AutoTS.results()AutoTS.retrieve_validation_forecasts()AutoTS.save_template()AutoTS.validation_agg()
AutoTS.initial_results.model_resultsCassandraCassandra.fit()Cassandra.predict()Cassandra.create_forecast_index()Cassandra.plot_forecast()Cassandra.plot_components()Cassandra.plot_trend()Cassandra.get_new_params()Cassandra.return_components()Cassandra.analyze_trend()Cassandra.auto_fit()Cassandra.base_scaler()Cassandra.compare_actual_components()Cassandra.create_t()Cassandra.cross_validate()Cassandra.feature_importance()Cassandra.fit()Cassandra.fit_data()Cassandra.get_new_params()Cassandra.get_params()Cassandra.next_fit()Cassandra.plot_components()Cassandra.plot_forecast()Cassandra.plot_things()Cassandra.plot_trend()Cassandra.predict()Cassandra.predict_new_product()Cassandra.process_components()Cassandra.return_components()Cassandra.rolling_trend()Cassandra.scale_data()Cassandra.to_origin_space()Cassandra.treatment_causal_impact()Cassandra.trend_analysis()
Cassandra.holiday_detector.dates_to_holidays()Cassandra..anomaly_detector.anomaliesCassandra..anomaly_detector.scoresCassandra..holiday_countCassandra..holidaysCassandra..paramsCassandra..x_arrayCassandra..predict_x_arrayCassandra..trend_trainCassandra..predicted_trendEventRiskForecastEventRiskForecast.fit()EventRiskForecast.predict()EventRiskForecast.predict_historic()EventRiskForecast.generate_result_windows()EventRiskForecast.generate_risk_array()EventRiskForecast.generate_historic_risk_array()EventRiskForecast.set_limit()EventRiskForecast.plot()EventRiskForecast.fit()EventRiskForecast.generate_historic_risk_array()EventRiskForecast.generate_result_windows()EventRiskForecast.generate_risk_array()EventRiskForecast.plot()EventRiskForecast.plot_eval()EventRiskForecast.predict()EventRiskForecast.predict_historic()EventRiskForecast.query_risk()EventRiskForecast.set_limit()
FillNA()GeneralTransformerHolidayDetectorModelPredictionRandomTransform()SyntheticDailyGeneratorSyntheticDailyGenerator.SERIES_TYPE_DESCRIPTIONSSyntheticDailyGenerator.TEMPLATE_VERSIONSyntheticDailyGenerator.get_all_labels()SyntheticDailyGenerator.get_anomalies()SyntheticDailyGenerator.get_components()SyntheticDailyGenerator.get_data()SyntheticDailyGenerator.get_holiday_config()SyntheticDailyGenerator.get_holiday_impacts()SyntheticDailyGenerator.get_holiday_splash_impacts()SyntheticDailyGenerator.get_lagged_influences()SyntheticDailyGenerator.get_level_shifts()SyntheticDailyGenerator.get_noise_changepoints()SyntheticDailyGenerator.get_noise_to_signal_ratios()SyntheticDailyGenerator.get_regressor_impacts()SyntheticDailyGenerator.get_regressors()SyntheticDailyGenerator.get_seasonality_changepoints()SyntheticDailyGenerator.get_series_noise_levels()SyntheticDailyGenerator.get_series_scales()SyntheticDailyGenerator.get_series_seasonality_strengths()SyntheticDailyGenerator.get_series_type_description()SyntheticDailyGenerator.get_template()SyntheticDailyGenerator.get_trend_changepoints()SyntheticDailyGenerator.machine_summary()SyntheticDailyGenerator.plot()SyntheticDailyGenerator.render_template()SyntheticDailyGenerator.summary()SyntheticDailyGenerator.to_csv()SyntheticDailyGenerator.tune_to_data()
TransformTScreate_lagged_regressor()create_regressor()generate_synthetic_daily_data()infer_frequency()load_artificial()load_daily()load_hourly()load_linear()load_live_daily()load_monthly()load_sine()load_weekdays()load_weekly()load_yearly()long_to_wide()model_forecast()
- Subpackages