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Removed the ks_extract() function. It was designed to extract objects like the matrix S of SHAP values from the resulting "kernelshap" object x. We feel that the standard extraction options (x$S, x[["S"]], or getElement(x, "S")) are sufficient.
Adding $(n \times K)$ matrix of predictions to the output, where $n$ is the number of rows in the explainer data X, and $K$ is the dimension of a single prediction (usually 1).
Setting verbose = FALSE now does not suppress the warning on too large background data anymore. Use suppressWarnings() instead.