pycaret.time_series.models#

pycaret.time_series.models(type: str | None = None, internal: bool = False, raise_errors: bool = True) → DataFrame[source]#

Returns table of models available in the model library.

Example

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

type: str, default = None

baseline : filters and only return baseline models
classical : filters and only return classical models
linear : filters and only return linear models
tree : filters and only return tree based models
neighbors : filters and only return neighbors models

internal: bool, default = False

When True, will return extra columns and rows used internally.

raise_errors: bool, default = True

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

Returns:: pandas.DataFrame