autotsΒΆ
- autots package- Subpackages- autots.datasets package
- autots.evaluator 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.dnn module
- autots.models.ensemble module
- autots.models.gluonts module
- autots.models.greykite 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.tfp module
- autots.models.tide module
- Module contents
 
- autots.templates package
- autots.tools package- Submodules
- autots.tools.anomaly_utils module
- autots.tools.calendar module
- autots.tools.cointegration module
- autots.tools.constraint module
- autots.tools.cpu_count module
- autots.tools.fast_kalman module
- autots.tools.fft module
- autots.tools.fir_filter module
- autots.tools.hierarchial module
- autots.tools.holiday module
- autots.tools.impute module
- autots.tools.kalman module
- autots.tools.lunar module
- autots.tools.percentile 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- AnomalyDetector
- AutoTS- AutoTS.best_model
- AutoTS.best_model_name
- AutoTS.best_model_params
- AutoTS.best_model_transformation_params
- AutoTS.best_model_ensemble
- AutoTS.used_frequency
- AutoTS.regression_check
- AutoTS.df_wide_numeric
- AutoTS.score_per_series
- AutoTS.back_forecast()
- AutoTS.best_model_per_series_mape()
- AutoTS.best_model_per_series_score()
- AutoTS.create_unpredictability_score()
- AutoTS.diagnose_params()
- 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_results
- Cassandra- Cassandra.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.anomalies
- Cassandra..anomaly_detector.scores
- Cassandra..holiday_count
- Cassandra..holidays
- Cassandra..params
- Cassandra..x_array
- Cassandra..predict_x_array
- Cassandra..trend_train
- Cassandra..predicted_trend
- EventRiskForecast- EventRiskForecast.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.set_limit()
 
- GeneralTransformer
- HolidayDetector
- ModelPrediction
- RandomTransform()
- TransformTS
- create_lagged_regressor()
- create_regressor()
- 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
