covid_19.utils package
Submodules
covid_19.utils.argparse_utils module
- covid_19.utils.argparse_utils.strictly_positive_int(n)
covid_19.utils.data_prep_utils module
- covid_19.utils.data_prep_utils.create_df_features(X, cols, trainer_config)
- covid_19.utils.data_prep_utils.get_past_lags(series, start, depth)
covid_19.utils.datetime_utils module
- covid_19.utils.datetime_utils.get_now_utc()
covid_19.utils.legend module
- class covid_19.utils.legend.ErrorMetric(name, scorer_func)
Bases:
object- compute(y_true, y_hat)
- to_dict()
- class covid_19.utils.legend.Errors(value)
Bases:
enum.EnumAn enumeration.
- MAX_ABSOLUTE_ERROR = 'mxae'
- MEAN_ABSOLUTE_ERROR = 'mae'
- MEAN_ABSOLUTE_PERCENTAGE_ERROR = 'mape'
- MEAN_RELATIVE_ERROR = 'mre'
- ROOT_MEAN_SQUARED_ERROR = 'rmse'
- R_SQUARED = 'r2'
- SYMMETRIC_MEAN_ABSOLUTE_PERCENTAGE_ERROR = 'smape'
- class covid_19.utils.legend.FeatureSelectors(value)
Bases:
enum.EnumAn enumeration.
- CROSS_CORRELATION = 'crosscorr'
- MODEL_COEFFICIENTS = 'model'
- MUTUAL_INFORMATION = 'mutinf'
- class covid_19.utils.legend.HyperparamsTuningOptions(value)
Bases:
enum.EnumAn enumeration.
- ACTIVE = 1
- BEST_FOUND_PARAMS = 'best'
- NOT_ACTIVE = 0
- class covid_19.utils.legend.PipelineSteps(value)
Bases:
enum.EnumAn enumeration.
- DIMENSIONALITY_REDUCTION = 'dim_reduction'
- REGRESSION = 'regressor'
- SCALER = 'scaler'
covid_19.utils.params_grid_utils module
- covid_19.utils.params_grid_utils.config_grid_to_list_of_dict(json_conf_grid)
- covid_19.utils.params_grid_utils.get_string_from_conf(trainer_params)
- covid_19.utils.params_grid_utils.get_string_from_conf_grid(validator_params_grid)
covid_19.utils.path_utils module
- covid_19.utils.path_utils.check_create_match_path(base_path, match_id)
- covid_19.utils.path_utils.check_create_match_paths(base_path, match_ids)
- covid_19.utils.path_utils.check_create_path(path)
- covid_19.utils.path_utils.delete_data_path(data_path)