shapr

cranv1.0.8

Prediction Explanation with Dependence-Aware Shapley Values. Complex machine learning models are often hard to interpret. However, in many situations it is crucial to understand and explain why a model made a specific prediction. Shapley values is the only method for such prediction explanation framework with a solid theoretical foundation. Previously known m

License MIT + file LICENSE0 versions1 maintainers8 deps435 weekly dl
NorskRegnesentral/shapr/
45
/ 100
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safe to use

[email protected] is safe to use (health: 45/100)

Health breakdown0 – 100
15/25
maintenance
3/20
popularity
25/25
security
0/15
maturity
2/15
community
Vulnerabilities
0
none known
⚠ Possible typosquat
Name is close to a popular package. Targets:
shape (char_swap dist 1)

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Dependencies (8)
statsdata.tableRcppMatrixfuture.applymethodsclirlang
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First published · 2026-01-20 22:51:22

Last updated · 2026-01-20T21:00:02+00:00