Provides a caret-compatible wrapper around functionality for classification and regression, as implemented by mmb.

A wrapper to be used with the package/function caret::train(). Supports regression and classification and an extensive default grid.

bayesCaret

Format

An object of class list of length 7.

Examples

if (FALSE) {
trainIndex <- caret::createDataPartition(
  iris$Species, p = .8, list = FALSE, times = 1)
train <- iris[ trainIndex, ]
test  <- iris[-trainIndex, ]

fitControl <- caret::trainControl(
  method = "repeatedcv", number = 2, repeats = 2)

fit <- caret::train(
  Species ~ ., data = train, method = mmb::bayesCaret,
  trControl = fitControl)
}