ResamplingBootstrap: Bootstrap Resampling
In mllg/mlr3: Machine Learning in R - Next Generation

Description Format Construction Fields Methods Parameters See Also Examples

Splits data into bootstrap samples (sampling with replacement). Hyperparameters are the number of bootstrap iterations (repeats, default: 30) and the ratio of observations to draw per iteration (ratio, default: 1) for the training set.

R6::R6Class inheriting from Resampling.

1
2
3

ResamplingBootstrap$new()
mlr_resamplings$get("bootstrap")
rsmp("bootstrap")

See Resampling.

stratify :: logical(1) | character()
Enables stratification. See Resampling.
repeats :: integer(1)
Number of repetitions.
ratio :: numeric(1)
Ratio of observations to put into the training set.

Dictionary of Resamplings: mlr_resamplings

# Create a task with 10 observations
task = tsk("iris")
task$filter(1:10)

# Instantiate Resampling
rb = rsmp("bootstrap", repeats = 2, ratio = 1)
rb$instantiate(task)

# Individual sets:
rb$train_set(1)
rb$test_set(1)
intersect(rb$train_set(1), rb$test_set(1))

# Internal storage:
rb$instance$M # Matrix of counts