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TopdownReconciler

Inverse transformUnequal length

Apply Topdown hierarchical reconciliation.

Forecast proportions keep the original series during transform, and propagate the “proportions” of each forecast with respect to its total during inverse_transform.

Topdown share, on the other hand, transforms the series to share the forecast with respect to their parent, and then uses the total forecast to multiply the shares.

For more information, see “Single level approaches” in [1].

Quickstart

python
from sktime.transformations.hierarchical.reconcile import TopdownReconciler

estimator = TopdownReconciler(method='td_fcst')

Parameters(1)

methodstr, default=”td_fcst”
The method to use for reconciliation. - td_fcst: Forecast Proportions. - td_share: Topdown Share.

Examples

>>> from sktime.transformations.hierarchical.reconcile import (
... TopdownReconciler)
>>> from sktime.utils._testing.hierarchical import _make_hierarchical
>>> from sktime.forecasting.naive import NaiveForecaster
>>> y = _make_hierarchical ()
>>> pipe = TopdownReconciler () * NaiveForecaster ()
>>> pipe = pipe. fit (y)
>>> y_pred = pipe. predict (fh = [1, 2, 3 ])

References

[1]

Hyndman, R. J., & Athanasopoulos, G. (2018). Forecasting: principles and practice. OTexts.