Croston

Croston’s method for forecasting intermittent time series.

Quickstart

from sktime.forecasting.croston import Croston

estimator = Croston(smoothing=0.1)

Parameters(1)

smoothingfloat, default = 0.1

Smoothing parameter in exponential smoothing

Examples

>>> from sktime.forecasting.croston import Croston
>>> from sktime.datasets import load_PBS_dataset
>>> y = load_PBS_dataset ()
>>> forecaster = Croston (smoothing = 0.1)
>>> forecaster. fit (y) Croston(
... )
>>> y_pred = forecaster. predict (fh = [1, 2, 3 ])

References

1. [1 ] J. D. Croston. Forecasting and stock control for intermittent demands. Operational Research Quarterly (1970-1977), 23(3):pp. 289-303, 1972. [2 ] Vandeput. Forecasting Intermittent Demand with the Croston Model. https://towardsdatascience.com/croston-forecast-model-for-intermittent-demand-360287a17f5f