shapviz-package: shapviz: SHAP Visualizations
In shapviz: SHAP Visualizations
shapviz-package R Documentation
shapviz: SHAP Visualizations
Description
Visualizations for SHAP (SHapley Additive exPlanations), such as waterfall plots, force plots, various types of importance plots, dependence plots, and interaction plots. These plots act on a 'shapviz' object created from a matrix of SHAP values and a corresponding feature dataset. Wrappers for the R packages 'xgboost', 'lightgbm', 'fastshap', 'shapr', 'h2o', 'treeshap', 'DALEX', 'kernelshap', and 'permshap' are added for convenience. By separating visualization and computation, it is possible to display factor variables in graphs, even if the SHAP values are calculated by a model that requires numerical features. The plots are inspired by those provided by the 'shap' package in Python, but there is no dependency on it.
Author(s)
Maintainer: Michael Mayer mayermichael79@gmail.com
Other contributors:
Adrian Stando adrian.j.stando@gmail.com [contributor]
See Also
Useful links:
shapviz documentation built on Oct. 14, 2023, 5:07 p.m.
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| shapviz-package | R Documentation |
shapviz: SHAP Visualizations
Description
Visualizations for SHAP (SHapley Additive exPlanations), such as waterfall plots, force plots, various types of importance plots, dependence plots, and interaction plots. These plots act on a 'shapviz' object created from a matrix of SHAP values and a corresponding feature dataset. Wrappers for the R packages 'xgboost', 'lightgbm', 'fastshap', 'shapr', 'h2o', 'treeshap', 'DALEX', 'kernelshap', and 'permshap' are added for convenience. By separating visualization and computation, it is possible to display factor variables in graphs, even if the SHAP values are calculated by a model that requires numerical features. The plots are inspired by those provided by the 'shap' package in Python, but there is no dependency on it.
Author(s)
Maintainer: Michael Mayer mayermichael79@gmail.com
Other contributors:
Adrian Stando adrian.j.stando@gmail.com [contributor]
See Also
Useful links:
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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