prepare.ggplot.shap.data: Combine and melt feature values and SHAP contributions for...
In xgboost: Extreme Gradient Boosting

prepare.ggplot.shap.data

R Documentation

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

Conforms to data format required for ggplot functions.

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

`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`.

Internal utility function.

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

xgboost documentation built on March 31, 2023, 10:05 p.m.

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