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kind = "bar" to
shap.plot.summary().22/03/2021 Moved lightgbm from imported to suggested
package.
05/02/2021 Added color_feature = "auto" in
shap.plot.dependence in order to colorize the
(heuristically found) strongest interaction.
06/02/2021 Added vignette.
06/02/2021 Added function shap.importance to return
mean absolute SHAP values per variable.
10/02/2021 Added jitter_width,
jitter_height and alpha to
shap.plot.dependence.
add_stat_cor optionvar_cat option to
shap.prep so if supply a categorical variable, the
long-format data would use var_cat as a labeling variable.
For example, we can make two summary plot by adding
facet_wrap(~ var_cat) to the shap.plot.summary
.shap.prep and shap.prep.stack.data, which
might be useful under certain situation.NEWS.md file to track changes to the
package.shap.plot.dependence.color into
shap.plot.dependence.These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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