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Aligner

AlignerLuckyDtw

API-ReferenzQuellcode
DistanceDistance-matrixUnequal length

Alignment path based on lucky dynamic time warping distance.

This aligner returns the alignment path produced by the lucky time warping distance [1]_. Uses Euclidean distance for multivariate data.

Based on code by Krisztian A Buza’s research group.

Schnellstart

python
from sktime.alignment.lucky import AlignerLuckyDtw

estimator = AlignerLuckyDtw(window=None)

Parameter(1)

window: int, optional (default=None)
Maximum distance between indices of aligned series, aka warping window. If None, defaults to max(len(ts1), len(ts2)), i.e., no warping window.

Referenzen

..[1] Stephan Spiegel, Brijnesh-Johannes Jain, and Sahin Albayrak.

Fast time series classification under lucky time warping distance. Proceedings of the 29th Annual ACM Symposium on Applied Computing. 2014.