v1.4.0

[1.4.0] - 2025-10-18

Changed

• Fix is_simple_quad for numpy 2.0. Sometime in numpy >= 2.0 a np.bool_ datatype was introduced. This new datatype broke the routine. Fix by nucccc

v1.3.0

[1.3.0] - 2025-06-20

Changed

• Remove the setup.py in favor of a pyproject.toml. Old setup.py may have been showing depreciation warnings when installing from source. Thanks to a contribution by mstoelzle

v1.2.0

[1.2.0] - 2024-10-12

• curve_length_measure is now vectorized which should improve performance. Thanks to a contribution by nucccc

v1.1.0

[1.1.0] - 2023-11-18

Changed

• curve_length_measure now supports curves with negative means! Thanks to a contribution by Schmetzler in PR37

v1.0.0

v1.0.0

area_between_two_curves now correctly calculates the area of four points that form a triangle (where two of the four points are the same). Thanks to a contribution by mcnick in PR35. Note that this change may result in different area values from previous versions. Cases where this will happen is if one curve had a perfectly straight line between three points, or if one curve had the exact same data point twice.

v0.7.0

[0.7.0] - 2023-01-14

Changed

• frechet_dist now uses scipy cdist to calculate the distances between points
• frechet_dist should be significantly faster due to cdist thanks to a contribution by nucccc

Thanks to @nucccc for the PR that enhance the performance of the frechet distance.

v0.6.0

• similaritymeasures.pcm now produces different values! This was done to better follow the original algorithm. To get the same results from previous versions, set norm_seg_length=True. What this option does is scale each segment length by the maximum values of the curve (borrowed from the curve_length_measure). This scaling should not be needed with the PCM method because both curves are always scaled initially.
• Fix docstring documentation for returns in similaritymeasures.dtw and similaritymeasures.curve_length_measure

v.0.5.0

Adds mean squared error (mse) and mean absolute error (mae) methods thanks to @HarshRaoD