PerSegmentModel

class PerSegmentModel(base_model: Any)[source]

Bases: etna.models.base.PerSegmentBaseModel, etna.models.base.ForecastAbstractModel

Class for holding specific models for per-segment prediction.

Init PerSegmentBaseModel.

Parameters

base_model (Any) – Internal model which will be used to forecast segments, expected to have fit/predict interface

Inherited-members

Methods

fit(ts)

Fit model.

forecast(ts)

Make predictions.

get_model()

Get internal models that are used inside etna class.
forecast(ts: etna.datasets.tsdataset.TSDataset) → etna.datasets.tsdataset.TSDataset[source]

Make predictions.

Parameters

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

Returns

Dataset with predictions

Return type

etna.datasets.tsdataset.TSDataset