Simple Bootstrap sampling. Hyperparameters are the number of bootstrap iterations (repeats, default: 30) and the ratio of observations to draw per iteration (ratio, default: 1).

ResamplingBootstrap

Format

R6::R6Class inheriting from Resampling.

Fields

See Resampling.

Methods

See Resampling.

Examples

# Create a task with 10 observations task = mlr_tasks$get("iris") task$filter(1:10) # Instantiate Resampling rb = mlr_resamplings$get("bootstrap") rb$param_set$values = list(repeats = 2, ratio = 1) rb$instantiate(task) # Individual sets: rb$train_set(1)
#> [1] 1 1 2 2 2 4 4 6 7 8
rb$test_set(1)
#> [1] 3 5 9 10
intersect(rb$train_set(1), rb$test_set(1))
#> integer(0)
# Internal storage: rb$instance$M # Matrix of counts
#> #> [,1] [,2] #> [1,] 2 0 #> [2,] 3 1 #> [3,] 0 0 #> [4,] 2 3 #> [5,] 0 1 #> [6,] 1 0 #> [7,] 1 0 #> [8,] 1 1 #> [9,] 0 1 #> [10,] 0 3