v0.1.6

This release requires numba >= 0.57.

What's Changed

• Allow readonly arrays in numba jit signature by @jvdd in #23
• Improved sample entropy kernel by @FirefoxMetzger in #25
• fix: KDTree.valid_metrics is method since sklearn 1.3 by @jvdd in #30
• Replaced Python 3.7 with 3.10 in Github Actions
• Fix pandas deprecation in notebooks

New Contributors

• @FirefoxMetzger made their first contribution in #25

Full Changelog: v0.1.5...v0.1.6

v0.1.5

This is a minor release.

What's Changed

• Handle the limit of p = 0 in p log2 p by @jftsang in #3
• Correlation between entropy/FD metrics for data traces from Hodgin-Huxley model by @antelk in #5
• Fix docstrings and rerun by @antelk in #7
• Improve performance in _xlog2x by @jftsang in #8
• Prevent invalid operations in xlogx by @guiweber in #11
• Allow readonly arrays for higuchi_fd by @jvdd in #13
• modify the _embed function to fit the 2d input by @cheliu-computation in #15
• Fixed division by zero in linear regresion function (with test) by @Arritmic in #21
• Add conda install instructions by @raphaelvallat in #19

New Contributors

• @jftsang made their first contribution in #3
• @antelk made their first contribution in #5
• @guiweber made their first contribution in #11
• @jvdd made their first contribution in #13
• @cheliu-computation made their first contribution in #15
• @Arritmic made their first contribution in #21
• @raphaelvallat made their first contribution in #19

Full Changelog: v0.1.4...v0.1.5

v0.1.4

This new release includes a faster implementation of the LZ complexity algorithm (see #1).