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SoftDtwDistTslearn

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Soft dynamic time warping distance, from tslearn.

Direct interface to tslearn.metrics.cdist_soft_dtw and tslearn.metrics.cdist_soft_dtw_normalized.

Schnellstart

python
from sktime.dists_kernels.dtw import SoftDtwDistTslearn

estimator = SoftDtwDistTslearn(normalized=False, gamma=1.0)

Tags

Eigenschaften

Paarweiser Typpwtrafo_type
distance
Symmetrischsymmetric
Ja

Parameter(2)

normalizedbool, default = False

Whether the DTW distance should be normalized. If False, interfaces tslearn.metrics.cdist_soft_dtw. If True, interfaces tslearn.metrics.cdist_soft_dtw_normalized.

gammafloat (default 1.)
Gamma parameter for Soft-DTW

Referenzen

[1]

M. Cuturi, M. Blondel “Soft-DTW: a Differentiable Loss Function for Time-Series,” ICML 2017.