Time series alignment

The sktime.alignment module contains time series aligners, such as dynamic time warping aligners.

All time series aligners in sktime can be listed using the sktime.registry.all_estimators utility, using estimator_types="aligner", optionally filtered by tags. Valid tags can be listed using sktime.registry.all_tags.

A full table with tag based search is also available on the Estimator Search Page (select “aligner” in the “Estimator type” dropdown).

Naive aligners

AlignerNaive([strategy])

Naive strategies for multiple alignment.

Dynamic time warping

`AlignerDTW`([dist_method, step_pattern, ...])	Aligner interface for dtw-python.
`AlignerDTWfromDist`(dist_trafo[, ...])	Aligner interface for dtw-python using pairwise transformer.

AlignerDtwDtai([use_c, window, max_dist, ...])

Aligner interface for dtaidistance time warping alignment.

AlignerDtwNumba([weighted, derivative, ...])

Interface to sktime native dtw aligners, with derivative or weighting.

AlignerLuckyDtw([window])

Alignment path based on lucky dynamic time warping distance.

Edit distance based aligners

AlignerEditNumba([distance, window, ...])

Interface to sktime native edit distance aligners.