v0.8.1

v0.8.1

• TimeSeriesScalerMinMax and TimeSeriesScalerMeanVariance now support variable length timeseries.
• Bump numba dependency min version
• Fix variable-length support in Shapelets locate

v0.8.0

version 0.8.0

Changed

Rework cdist_dtw and underlying Numba jited DTW computation to speed things up for numpy Backends.
Masks as returned by compute_mask, sakoe_chiba_mask and itakura_mask now have boolean values.
Backend attributes are now dynamic.
Ensure dtype is preserved in to_time_series_dataset
Fixed centroids computations in K-shape for multivariate timeseries (https://github.com/tslearn-team/tslearn/issues/288)
Fixed json and pickle serialization for LearningShapelet (https://github.com/tslearn-team/tslearn/issues/387)(https://github.com/tslearn-team/tslearn/issues/403)

Added

DBSCAN estimator for timeseries (https://github.com/tslearn-team/tslearn/issues/598)

v0.7.0

version 0.7.0

Changed

• Explicit exception when using Global Alignment Kernel with sigma close to zero (#440)
• Fixed shifting in K-shape shape extraction process (#385)
• Support for scikit-learn up to 1.7 (#549)
• Fixed LearningShapelets with variable length timeseries (#352)
• The shapelets module now depends on Keras3+ and the underlying backend can be selected through the KERAS_BACKEND environment variable. Defaults to the first found installed backend among torch, tensorflow and jax (in that order).

Removed

• Support for Python versions 3.8 and 3.9 is dropped

Added

• per_timeseries and per_feature options for min-max and mean-variance scalers (#536)
• TimeSeriesImputerclass: missing value imputer for time series (#564)
• Frechet metrics and KNeighbors integration (#402)

v0.6.4

version 0.6.4

Compatibility with scikit-learn < 1.7

v0.6.3

version 0.6.3

v0.6.2

Bugs fixed in this release

• Fixed an incorrect calculation of the normalization term for cdist_soft_dtw_normalized when dataset2 is provided.
• Fixed UCR/UEA datasets download link

v0.6.1

version 0.6.1

v0.6.0

version 0.6.0

v0.5.3.2

version 0.5.3.2

v0.5.3.1

version 0.5.3.1