repeated_resampling: Repeated resampling methods
In mlampros/RandomSearchR: Random Search in R

Description Usage Arguments Details Value Examples

Repeated resampling methods

repeated_resampling(
  y,
  method,
  REPEATS = 1,
  sample_rate = NULL,
  FOLDS = NULL,
  seed = 1
)

`y`	the response variable (continuous or factor)
`method`	one of 'bootstrap', 'train_test_split', 'cross_validation'
`REPEATS`	the number of times that the method should be repeated
`sample_rate`	train-data-sample-rate for 'bootstrap' and 'train_test_split'
`FOLDS`	the number of folds for the 'cross_validation' method
`seed`	an integer specifying the RNG

This function is meant for splitting the data using three resampling methods, with the option of multiple repeats.

a list of sublist(s)

## Not run: 

data(Boston, package = 'MASS')
y = Boston$medv

res = repeated_resampling(y, 'bootstrap', REPEATS = 2, sample_rate = 0.75, FOLDS = NULL)

## End(Not run)