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xgboost

prepare.ggplot.shap.data

Combine and melt feature values and SHAP contributions for sample observations.

Description

Conforms to data format required for ggplot functions.

Usage

prepare.ggplot.shap.data(data_list, normalize = FALSE)

Arguments

data_list

List containing 'data' and 'shap_contrib' returned by xgb.shap.data().
normalize

Whether to standardize feature values to have mean 0 and standard deviation 1 (useful for comparing multiple features on the same plot). Default FALSE.

Details

Internal utility function.

Value

A data.table containing the observation ID, the feature name, the feature value (normalized if specified), and the SHAP contribution value.

xgboost

Extreme Gradient Boosting

v1.4.1.1
Apache License (== 2.0) | file LICENSE
Authors
Tianqi Chen [aut], Tong He [aut, cre], Michael Benesty [aut], Vadim Khotilovich [aut], Yuan Tang [aut] (<https://orcid.org/0000-0001-5243-233X>), Hyunsu Cho [aut], Kailong Chen [aut], Rory Mitchell [aut], Ignacio Cano [aut], Tianyi Zhou [aut], Mu Li [aut], Junyuan Xie [aut], Min Lin [aut], Yifeng Geng [aut], Yutian Li [aut], XGBoost contributors [cph] (base XGBoost implementation)
Initial release
2021-04-22

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