Model

polars_ts.models.bayesian_ets.model

BayesianETS model class, result container, and convenience function.

BayesianETSResult dataclass

Fitted result from BayesianETS.

BayesianETS

Bayesian Exponential Smoothing forecaster.

fit(df)

Fit the Bayesian ETS model.

predict(df, h)

Generate h-step-ahead forecasts with credible intervals.

bayesian_ets(df, h, model='ses', inference='map', season_length=1, seasonal='additive', priors=None, coverage=0.9, n_samples=1000, burn_in=500, seed=42, target_col='y', id_col='unique_id', time_col='ds')

Bayesian ETS convenience function.