NEWS.md

In ModelOriented/treeshap: Compute SHAP Values for Your Tree-Based Models Using the 'TreeSHAP' Algorithm

treeshap (development version)

treeshap 0.3.1

• Fixed code examples in lightgbm.unify.

treeshap 0.3.0

• Fixed ranger_surv.unify operation for predictions in form of survival and cumulative hazard functions.
• Added model_unified_multioutput and treeshap_multioutput classes for multi-output models and their explanations.
• Improved documentation of ranger_surv.unify.

treeshap 0.2.5

• Removed catboost.unify function (as the catboost package is not on CRAN); it is available on a separate branch
• Fixed randomForest.unify for classifiers (#12, #23)
• Implemented consolidated (generic) unify function (#18)
• An error is thrown when the data passed to the unify or treeshap functions contain variables that are not used by the model (#14)
• Added implementation for random survival forests created using ranger (#22, #26)
• Fixed GitHub Actions, check and test issues (#25, #29)
• Fixed issues with documentation and examples
• Changed use of bitwise '|' to logical '||' with boolean operands in C++ files

treeshap 0.1.1

• Fixed plot_contribution when max_vars is larger than the number of variables (#16)

treeshap 0.1.0

• Rebuilded treeshap function so it now stores observations and whole dataset
• Rebuilded all unifiers so they require passing data.

treeshap 0.0.1

• Made package pass all checks
• Fixed infinite recursion issue in ranger (see commit)
• If there is no missing value in the model, unifiers return NA for Missing column (see commit)

treeshap 0.0.0.9000

• treeshap is now public
• Implemented fast computations of tree ensemble shap values in C++
• Implemented unifiers for catboost, lightgbm, xgboost, gbm, ranger and randomForest

ModelOriented/treeshap documentation built on Jan. 27, 2024, 10:57 p.m.