Preprocess predictors for prediction — preprocess_predictors

Convert logical and character columns to appropriate types, re-order factor levels to match the ordering learned during fitting (stored in object$factor_levels), re-encode factor columns as integers, and return a numeric matrix suitable for the underlying C++ prediction routines.

Usage

preprocess_predictors_predict(object, predictors)

Arguments

object: An object of class rpf returned by rpf().
predictors: A data frame or matrix of predictor values to preprocess.

Value

A numeric matrix with the same number of rows as predictors.

Details

This is primarily an internal utility used by predict() methods but is exported to support advanced users and tests.

Examples

rpfit <- rpf(x = mtcars[, c("cyl", "wt")], y = mtcars$mpg)
processed <- hardhat::forge(mtcars[, c("cyl", "wt")], rpfit$blueprint)
X <- preprocess_predictors_predict(rpfit, processed$predictors)
dim(X)
#> [1] 32  2