Aggregator

Prepare hierarchical data, including aggregate levels, from bottom level.

Quickstart

from sktime.transformations.hierarchical.aggregate import Aggregator

estimator = Aggregator(flatten_single_levels=True, bypass_inverse_transform=True)

Parameters(2)

flatten_single_levelboolean (default=True)

Remove aggregate nodes, i.e. (“__total”), where there is only a single child to the level

bypass_inverse_transformboolean (default=True)

If True, the inverse_transform method is skipped. If False, the inverse_transform method is implemented and can be used to remove aggregate levels from the data.

Examples

>>> from sktime.transformations.hierarchical.aggregate import Aggregator
>>> from sktime.utils._testing.hierarchical import _bottom_hier_datagen
>>> agg = Aggregator ()
>>> y = _bottom_hier_datagen (
... no_bottom_nodes = 3,
... no_levels = 1,
... random_seed = 123,
... )
>>> y = agg. fit_transform (y)

References

1. [1 ] https://otexts.com/fpp3/hierarchical.html