SklearnMultiSegmentModel

class SklearnMultiSegmentModel(regressor: sklearn.base.RegressorMixin)

Bases: etna.models.mixins.MultiSegmentModelMixin, etna.models.mixins.NonPredictionIntervalContextIgnorantModelMixin, etna.models.base.NonPredictionIntervalContextIgnorantAbstractModel

Class for holding Sklearn model for all segments.

Create instance of SklearnMultiSegmentModel with given parameters.

Parameters

regressor (sklearn.base.RegressorMixin) – Sklearn model for regression

Inherited-members

Methods

fit(ts)	Fit model.
forecast(ts[, return_components])	Make predictions.
get_model()	Get internal model that is used inside etna class.
load(path)	Load an object.
params_to_tune()	Get grid for tuning hyperparameters.
predict(ts[, return_components])	Make predictions with using true values as autoregression context if possible (teacher forcing).
save(path)	Save the object.
set_params(**params)	Return new object instance with modified parameters.
to_dict()	Collect all information about etna object in dict.

Attributes

context_size

Context size of the model.