Merger

Aggregates Panel data containing overlapping windows of one time series.

Quickstart

from sktime.transformations.merger import Merger

estimator = Merger(method='median', stride=0)

Parameters(2)

method{ median, mean }, default=”median”

The method to use for aggregation. Can be one of “mean” or “median”.

strideint, default=0

The stride to use for the aggregation. The stride determines the number of shifts between consecutive instances. A stride of 0 means no shift. A stride of 1 means that the time series is aggregated as above.

Examples

>>> from sktime.transformations.merger import Merger
>>> from sktime.utils._testing.panel import _make_panel
>>> y = _make_panel (n_instances = 10, n_columns = 3, n_timepoints = 5)
>>> result = Merger (method = "median"). fit_transform (y)
>>> result. shape (5, 3)
>>> from sktime.transformations.merger import Merger
>>> from sktime.utils._testing.panel import _make_panel
>>> y = _make_panel (n_instances = 10, n_columns = 3, n_timepoints = 5)
>>> result = Merger (method = "median", stride = 1). fit_transform (y)
>>> result. shape (14, 3)