mlr3 (version 0.1.0-9000)

ResamplingHoldout: Holdout Resampling

Description

Splits data into a single training set and a test set. Parameter ratio determines the ratio of observation in the train set (default: 2/3).

Usage

ResamplingHoldout

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
rho = mlr_resamplings$get("holdout")
rho$instantiate(task)

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

# Internal storage:
rho$instance # simple list
# }