FitAbstractModel

class FitAbstractModel[source]

Bases: abc.ABC

Interface for model with fit method.

Inherited-members

Methods

fit(ts)

Fit model.

get_model()

Get internal model/models that are used inside etna class.

abstract fit(ts: etna.datasets.tsdataset.TSDataset) etna.models.base.FitAbstractModel[source]

Fit model.

Parameters

ts (etna.datasets.tsdataset.TSDataset) – Dataset with features

Returns

Model after fit

Return type

etna.models.base.FitAbstractModel

abstract get_model() Union[Any, Dict[str, Any]][source]

Get internal model/models that are used inside etna class.

Internal model is a model that is used inside etna to forecast segments, e.g. catboost.CatBoostRegressor or sklearn.linear_model.Ridge.

Returns

The result can be of two types:

  • if model is multi-segment, then the result is internal model

  • if model is per-segment, then the result is dictionary where key is segment and value is internal model

Return type

Union[Any, Dict[str, Any]]