BORG (version 0.2.5)

borg_trainControl: BORG-Guarded trainControl

Description

A guarded version of caret::trainControl() that validates CV settings against data dependencies.

Usage

borg_trainControl(
  data,
  method = "cv",
  number = 10,
  coords = NULL,
  time = NULL,
  groups = NULL,
  target = NULL,
  allow_override = FALSE,
  ...
)

Value

A trainControl object, potentially modified for blocked CV.

Arguments

data

A data frame. Required for dependency checking.

method

Character. Resampling method.

number

Integer. Number of folds or iterations.

coords

Character vector. Coordinate columns for spatial check.

time

Character. Time column for temporal check.

groups

Character. Group column for clustered check.

target

Character. Target variable.

allow_override

Logical. Allow random CV despite dependencies.

...

Additional arguments passed to caret::trainControl().

Examples

# \donttest{
if (requireNamespace("caret", quietly = TRUE)) {
  spatial_data <- data.frame(
    lon = runif(50), lat = runif(50), response = rnorm(50)
  )
  ctrl <- borg_trainControl(
    data = spatial_data,
    method = "cv",
    number = 5,
    coords = c("lon", "lat")
  )
}
# }