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dsgibbons
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shap
A game theoretic approach to explain the output of any machine learning model.
https://shap-community.readthedocs.io/en/latest/
MIT License
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chore: deprecate distutils
#6
thatlittleboy
closed
1 year ago
0
Proposal: Update plotting interface to include optional `ax=` argument for creating subplots
#5
jlarsen-usgs
opened
1 year ago
4
Fix tests
#4
dsgibbons
closed
1 year ago
4
Being NaN-aware in calculation of means and their respective variances
#3
Pseudomanifold
closed
1 year ago
4
Invite open PRs from slundberg/shap to contribute
#2
dsgibbons
closed
1 year ago
7
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