_AutoETSAdapter

class _AutoETSAdapter(season_length: int = 1, model: str = 'ZZZ', damped: Optional[bool] = None)[source]

Bases: etna.models.statsforecast._StatsForecastBaseAdapter

Adapter for statsforecast.models.AutoETS.

Init model with given params.

Parameters

  • season_length (int) – Number of observations per unit of time. Ex: 24 Hourly data.

  • model (str) – Controlling state-space-equations.

  • damped (Optional[bool]) – A parameter that ‘dampens’ the trend.

Inherited-members

Methods

fit(df, regressors)

Fit statsforecast adapter.

forecast(df[, prediction_interval, quantiles])

Compute predictions on future data from a statsforecast model.

forecast_components(df)

Estimate forecast components.

get_model()

Get statsforecast model that is used inside etna class.

predict(df[, prediction_interval, quantiles])

Compute in-sample predictions from a statsforecast model.

predict_components(df)

Estimate prediction components.