| tidy_shap {autostats} | R Documentation |
tidy shap
Description
plot and summarize shapley values from an xgboost model
Usage
tidy_shap(model, newdata, form = NULL, ..., top_n = 12, aggregate = NULL)
Arguments
model |
xgboost model |
newdata |
dataframe similar to model input |
form |
formula used for model |
... |
additional parameters for shapley value |
top_n |
top n features |
aggregate |
a character vector. Predictors containing the string will be aggregated, and renamed to that string. |
Details
returns a list with the following entries
- shap_tbl
: table of shaply values
- shap_summary
: table summarizing shapley values. Includes correlation between shaps and feature values.
- swarmplot
: one plot showing the relation between shaps and features
- scatterplots
: returns the top 9 most important features as determined by sum of absolute shapley values, as a facetted scatterplot of feature vs shap
Value
list
[Package autostats version 0.4.1 Index]