build(deps): update shap requirement from >=0.43,<0.45 to >=0.43,<0.46

[dependabot[bot]]

Updates the requirements on shap to permit the latest version.

Release notes

Sourced from shap's releases.

v0.45.0

This is a fairly significant release containing a number of breaking changes.

Thank you to a number of new contributors for their contributions to this release! We are eager to grow the pool of maintainers, so please do get in touch on #3559 if you are interested in being part of the team.

What's Changed

Breaking changes

• Dropped support for 3.8 in shap/shap#3414
• Changed type and shape of returned SHAP values in some cases, to be consistent with model outputs. SHAP values for models with multiple outputs are now np.ndarray rather than list, by @​CloseChoice in shap/shap#3318
• Removed deprecated feature_dependence parameters in TreeExplainer and LinearExplainer by @​thatlittleboy in shap/shap#3340
• Removed deprecated alias for Coefficient by @​connortann in shap/shap#3511

Added

• Added support for python 3.12 by @​connortann in shap/shap#3414
• Added support for GPU build on recent CUDA versions by @​trivialfis in shap/shap#3462
• 2x import time speedup via lazy importing of pytorch by @​connortann in shap/shap#3533
• Added support returning the matplotlib figure in bar plots by @​richarddli in shap/shap#3494
• Added selu activation for tensorflow deep explainer by @​CloseChoice in shap/shap#3504
• Added support for special characters in catboost models by @​CloseChoice in shap/shap#3506
• Added ability to control marker size in beeswarm plots by @​MonoHue in shap/shap#3530

Fixed

• Fixed XGBoost model load by @​trivialfis in shap/shap#3462
• Fixed text masking with certain tokenizers by @​costrau in shap/shap#3536
• Fixed issue with KernelExplainer when explaining tensorflow models by @​connortann in shap/shap#3542
• Fixed force_plot contribution threshold for negative contributions by @​connortann in shap/shap#3547
• Removed overwrite of default warning filter or formatter by @​connortann in shap/shap#3514

.. plus a large number of documentation, testing and other maintenance updates by @​CloseChoice , @​yuanx749 , @​LakshmanKishore and others.

New Contributors

• @​richarddli made their first contribution in shap/shap#3494
• @​yuanx749 made their first contribution in shap/shap#3458
• @​LakshmanKishore made their first contribution in shap/shap#3393
• @​trivialfis made their first contribution in shap/shap#3462
• @​DanGolding made their first contribution in shap/shap#3526
• @​MonoHue made their first contribution in shap/shap#3530
• @​costrau made their first contribution in shap/shap#3536

Full Changelog: https://github.com/shap/shap/compare/v0.44.1...v0.45.0

Commits

• 56394f1 DOCS: Enable subset of pydocstyle rules, bulk update ruff fixes (#3550)
• 503258b DOCS: Formatting and phrasing updates for SHAP return values (#3549)
• b230584 reintroduce tests that were accidentally commented out (#3556)
• 0aa4cf6 MAINT: Add l1_reg argument to KernelExplainer call() (#3554)
• 542a97c refactor deep explainer tests and relax allowed tolerance (#3555)
• e9fd303 Update deprecation warnings for l1_reg="auto" and auto_size_plot=False (#3517)
• 7a4afd7 Fix force_plot contribution threshold for negative contributions (#3547)
• e1094a2 MAINT: Bump ruff version, fix updated rule UP032 (f-strings) (#3552)
• ad6733e Fix issue with KernelExplainer when explaining tensorflow models (#3542)
• ea3bfc8 BREAKING: make shap explanations consistent for xgboost and lightgbm (#3318)
• Additional commits viewable in compare view

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