add_resample_weights: Add resample weights to an rset object

In tune: Tidy Tuning Tools

Add resample weights to an rset object

Description

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.

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.

Value

The rset object with weights added as an attribute.

See Also

calculate_resample_weights(), extract_resample_weights()

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))

tune documentation built on April 17, 2026, 5:07 p.m.