wildboar.transform._shapelet#

Module Contents#

Classes#

RandomShapeletTransform

Transform a time series to the distances to a selection of random shapelets.
class wildboar.transform._shapelet.RandomShapeletTransform(n_shapelets=1000, *, metric='euclidean', metric_params=None, min_shapelet_size=0, max_shapelet_size=1.0, n_jobs=None, random_state=None)[source]#

Bases: wildboar.transform.base.BaseFeatureEngineerTransform

Transform a time series to the distances to a selection of random shapelets.

embedding_[source]#

The underlying embedding object.

Type:

Embedding

References

Wistuba, Martin, Josif Grabocka, and Lars Schmidt-Thieme.

Ultra-fast shapelets for time series classification. arXiv preprint arXiv:1503.05018 (2015).

Parameters:

  • n_shapelets (int, optional) – The number of shapelets in the resulting transform

  • metric (str, optional) –

    Distance metric used to identify the best shapelet.

    See distance._SUBSEQUENCE_DISTANCE_MEASURE.keys() for a list of supported metrics.

  • metric_params (dict, optional) –

    Parameters for the distance measure.

    Read more about the parameters in the User guide.

  • min_shapelet_size (float, optional) – Minimum shapelet size.

  • max_shapelet_size (float, optional) – Maximum shapelet size.

  • n_jobs (int, optional) – The number of jobs to run in parallel. None means 1 and -1 means using all processors.

  • random_state (int or RandomState, optional) – The psudo-random number generator.