shap/shap

How can explainer analyze just several specific layers or sub-models we chooosed? 2 days ago

help wanted question stale

shap/shap

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A game theoretic approach to explain the output of any machine learning model.

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[Meta-issue] Notebooks are outdated / non-runnable 3 days ago

help wanted documentation good first issue

shap/shap

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A game theoretic approach to explain the output of any machine learning model.

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Open Discussion: Dropping support for smaller tree model libraries? about 2 months ago

help wanted

shap/shap

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A game theoretic approach to explain the output of any machine learning model.

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[Meta-issue] Improve plotting API for consistency 3 months ago

good first issue visualization

shap/shap

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A game theoretic approach to explain the output of any machine learning model.

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MAINT: address all deprecation warnings in test suite 4 months ago

ci good first issue

shap/shap

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A game theoretic approach to explain the output of any machine learning model.

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[Meta-issue] Increase test coverage 4 months ago

enhancement good first issue

shap/shap

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A game theoretic approach to explain the output of any machine learning model.

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Partial Dependence Plots doesn’t work with custom ax 4 months ago

bug good first issue visualization

shap/shap

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A game theoretic approach to explain the output of any machine learning model.

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Update transformers dependency in tests 4 months ago

good first issue

shap/shap

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A game theoretic approach to explain the output of any machine learning model.

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MAINT: Enable type checking on all modules with mypy's `check_untyped_defs` setting enabled 4 months ago

enhancement help wanted

shap/shap

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A game theoretic approach to explain the output of any machine learning model.

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BUG: tests/explainers/test_tree.py::TestExplainerXGBoost::test_xgboost_dmatrix_propagation[XGBRFClassifier] failing on macOs 4 months ago

bug help wanted

shap/shap

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A game theoretic approach to explain the output of any machine learning model.

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ENH: Support scientific python SPEC 1 4 months ago

enhancement help wanted

shap/shap

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A game theoretic approach to explain the output of any machine learning model.

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MAINT: use "default" matplotlib style for tests 4 months ago

good first issue visualization

shap/shap

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A game theoretic approach to explain the output of any machine learning model.

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ENH: Documentation : add links between Examples and API Reference 4 months ago

enhancement documentation good first issue

shap/shap

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A game theoretic approach to explain the output of any machine learning model.

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ENH: Support for Liquid Neural Networks 4 months ago

enhancement help wanted

shap/shap

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A game theoretic approach to explain the output of any machine learning model.

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Reenable CausalML tests 5 months ago

dependencies ci good first issue

shap/shap

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A game theoretic approach to explain the output of any machine learning model.

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BUG: Incompatibility with pandas Int64 dtype (int64 with NAs) 5 months ago

bug help wanted

shap/shap

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A game theoretic approach to explain the output of any machine learning model.

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ENH: increase transparency of background dataset sub-sampling 5 months ago

todo enhancement good first issue

shap/shap

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A game theoretic approach to explain the output of any machine learning model.

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BUG: TreeSHAP Interventional explanations segmentation fault 6 months ago

bug help wanted

shap/shap

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A game theoretic approach to explain the output of any machine learning model.

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BUG: format_value() in shap/utils/_general.py raises error for empty strings 8 months ago

bug good first issue

shap/shap

25.7K

A game theoretic approach to explain the output of any machine learning model.

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Numpy2 Support 9 months ago

enhancement help wanted dependencies

shap/shap

25.7K

A game theoretic approach to explain the output of any machine learning model.

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A Spark version in plan? 12 months ago

help wanted stale

shap/shap

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A game theoretic approach to explain the output of any machine learning model.

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