ClustererPipeline

Pipeline of transformers and a clusterer.

Quickstart

from sktime.clustering.compose import ClustererPipeline

estimator = ClustererPipeline(clusterer, transformers)

Parameters(2)

clusterersktime clusterer, i.e., estimator inheriting from BaseClusterer

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

transformerslist of sktime transformers, or

list of tuples (str, transformer) of sktime transformers these are “blueprint” transformers, states do not change when fit is called

Examples

>>> from sktime.transformations.pca import PCATransformer
>>> from sktime.clustering.k_means import TimeSeriesKMeans
>>> from sktime.datasets import load_unit_test
>>> from sktime.clustering.compose import ClustererPipeline
>>> X_train, y_train = load_unit_test (split = "train")
>>> X_test, y_test = load_unit_test (split = "test")
>>> pipeline = ClustererPipeline (
... TimeSeriesKMeans (), [PCATransformer ()]
... )
>>> pipeline. fit (X_train, y_train) ClustererPipeline(
... )
>>> y_pred = pipeline. predict (X_test) Alternative construction via dunder method:
>>> pipeline = PCATransformer () * TimeSeriesKMeans ()