PerIntervalModel

class PerIntervalModel

Bases: etna.core.mixins.BaseMixin, abc.ABC

Class to handle intervals in change point based transforms.

PerIntervalModel is a class to process intervals between change points in change_points_based transforms.

Inherited-members

Methods

fit(features, target, *args, **kwargs)	Fit per interval model with given params.
predict(features, *args, **kwargs)	Make prediction with per interval model.
set_params(**params)	Return new object instance with modified parameters.
to_dict()	Collect all information about etna object in dict.

abstract fit(features: numpy.ndarray, target: numpy.ndarray, *args, **kwargs) → etna.transforms.decomposition.change_points_based.per_interval_models.base.PerIntervalModel

Fit per interval model with given params.

Parameters

• features (numpy.ndarray) –

• target (numpy.ndarray) –

Return type

etna.transforms.decomposition.change_points_based.per_interval_models.base.PerIntervalModel

abstract predict(features: numpy.ndarray, *args, **kwargs) → numpy.ndarray

Make prediction with per interval model.

Parameters

features (numpy.ndarray) –

Return type

numpy.ndarray