ConstantPerIntervalModel

class ConstantPerIntervalModel

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

ConstantPerIntervalModel gives a constant prediction it was fitted with.

Init ConstantPerIntervalModel.

Inherited-members

Methods

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

fit(features: numpy.ndarray, target: numpy.ndarray, *args, **kwargs) → etna.transforms.decomposition.change_points_based.per_interval_models.constant.ConstantPerIntervalModel

Fit constant model.

Parameters

• features (numpy.ndarray) – features to fit model, will be ignored

• target (numpy.ndarray) – target to fit model, will be ignored

Returns

fitted ConstantPerIntervalModel

Return type

self

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

Predict with constant.

Parameters

features (numpy.ndarray) – features to make prediction for

Returns

constant array of features’ len

Return type

prediction