mlr3 (version 0.1.0-9000)

ResamplingBootstrap: Bootstrap Resampling

Description

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).

Usage

ResamplingBootstrap

Format

R6::R6Class inheriting from Resampling.

Fields

See Resampling.

Methods

See Resampling.

Examples

# NOT RUN {
# 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$train_set(1)
rb$test_set(1)
intersect(rb$train_set(1), rb$test_set(1))

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