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DetectorAsTransformer

API referenceSource
MultivariateMissing valuesRemoves missing valuesUnequal-length series

Use an anomaly, changepoint detector, segmentation estimator as a transformer.

This adapter is used in coercions, when passing an detector to a transformer slot.

The transformation is series-to-primitives, transforming a time series into its cluster assignment.

The adapter dispatches BaseTransformer.transform to BaseDetector.transform.

Quickstart

python
from sktime.detection.compose import DetectorAsTransformer

estimator = DetectorAsTransformer(estimator)

Tags

Capabilities

Properties

Input typescitype:transform-input
Series
Output typescitype:transform-output
Series
Label typescitype:transform-labels
None
Fit is emptyfit_is_empty
No
Keeps the time indextransform-returns-same-time-index
Yes
Requires Xrequires_X
Yes
Requires yrequires_y
No
X and y need the same indexX-y-must-have-same-index
No

Parameters(1)

estimatorsktime detector, i.e., estimator inheriting from BaseDetector

this is a “blueprint” clusterer, state does not change when fit is called

Examples

>>> from sktime.detection.compose import DetectorAsTransformer
>>> from sktime.detection.dummy import DummyRegularAnomalies
>>> from sktime.utils._testing.hierarchical import _make_hierarchical
>>> X = _make_hierarchical ()
>>> detector = DummyRegularAnomalies. create_test_instance ()
>>> t = DetectorAsTransformer (detector)
>>> t. fit (X) DetectorAsTransformer(
... )
>>> Xt = t. transform (X)