Version 2,2,4

What's Changed

• Select variables when using plot_dist by @Aggrathon in #12
• Update the testing with coverage, linting, and Python 3.12

Version 2.2.3

SLISE now works with Python 3.11 (and probably soon 3.12, when numba gets updated) .

Version 2.2.2

What's Changed

• Numba tweaks by @Aggrathon in #9
  • Default to num_threads = 1 to avoid horrible performance on some CPUs
  • Add signatures to jitted functions (for faster and more reusable jitting)

Version 2.2.1

What's Changed

• Automatically ravel Y (in case of a matrix)
• Since (the dependency) PyLBFGS does not work with cython >= 3.0, the requirements has been updated

Version 2.2.0

Rename impact to terms and add a citation for the newly published paper on using SLISE for local explanations.

Version 2.1.3

Improve the documentation (and build an online documentation webpage)

Numba tweaks

Add nogil=Trueto the jitted functions and handle NUMBA_DISABLE_JIT=1.
Mention optional Numba dependencies in the README.md.

Threading

• Added option for limiting the number of threads used.
• Added new helpful warnings (such as warning about potentially bad numba.threading_layer()).
• Deprecate (only warning for now) get_params() in favour of coefficients.

Weights

Changes:

• Add optional weights to the algorithm.
• Do not normalise logits.
• Make some fields "private".
• Increase version to match the R variant.

SLISE on PyPI

SLISE is now available on PyPI and can be installed with:

pip install slise