pycaret.time_series.get_metrics

pycaret.time_series.get_metrics(reset: bool = False, include_custom: bool = True, raise_errors: bool = True) → DataFrame

Returns table of available metrics used for CV.

Example

>>> from pycaret.datasets import get_data
>>> airline = get_data('airline')
>>> from pycaret.time_series import *
>>> exp_name = setup(data = airline,  fh = 12)
>>> all_metrics = get_metrics()

reset: bool, default = False

When True, will reset all changes made using the add_metric and remove_metric function.

include_custom: bool, default = True

Whether to include user added (custom) metrics or not.

raise_errors: bool, default = True

If False, will suppress all exceptions, ignoring models that couldn’t be created.

Returns:

pandas.DataFrame