This function allows you to specify custom weights for resamples. Weights
are automatically normalized to sum to 1.
Usage
add_resample_weights(rset, weights)
Arguments
- rset
An rset object from rsample.
- weights
A numeric vector of weights, one per resample. Weights will be
normalized.
Value
The rset object with weights added as an attribute.
Details
Resampling weights are useful when assessment sets (i.e., held out data) have
different sizes or when you want to upweight certain resamples in the evaluation.
The weights are stored as an attribute and used automatically during
metric aggregation.
Examples
library(rsample)
folds <- vfold_cv(mtcars, v = 3)
# Give equal weight to all folds
weighted_folds <- add_resample_weights(folds, c(1, 1, 1))
# Emphasize the first fold
weighted_folds <- add_resample_weights(folds, c(0.5, 0.25, 0.25))
