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StatsForecastADIDA

API referenceSource
Categorical in XInsamplePred intPred int insample

StatsForecast ADIDA (Aggregate-Disaggregate Intermittent Demand Approach) model.

Quickstart

python
from sktime.forecasting.statsforecast import StatsForecastADIDA

estimator = StatsForecastADIDA(prediction_intervals: object | None=None)

Parameters(1)

prediction_intervalsConformalIntervals, optional
Information to compute conformal prediction intervals.

Examples

>>> from sktime.datasets import load_airline
>>> from sktime.forecasting.statsforecast import StatsForecastADIDA
>>> y = load_airline ()
>>> model = StatsForecastADIDA ()
>>> fitted_model = model. fit (y)
>>> y_pred = fitted_model. predict (fh = [1, 2, 3 ])

References

  1. [1 ] https://nixtlaverse.nixtla.io/statsforecast/docs/models/adida.html#introduction