create_random_subset: Create a random subset of a dataset

In rivolli/utiml: Utilities for Multi-Label Learning

Description

Create a random subset of a dataset

Usage

create_random_subset(
  mdata,
  instances,
  attributes = mdata$measures$num.inputs,
  replacement = FALSE
)

Arguments

mdata	A mldr dataset
instances	The number of expected instances
attributes	The number of expected attributes. (Default: all attributes)
replacement	A boolean value to define sample with replacement or not. (Default: FALSE)

Value

A new mldr subset

See Also

Other sampling: create_holdout_partition(), create_kfold_partition(), create_subset()

Examples

small.toy <- create_random_subset(toyml, 10, 3)
medium.toy <- create_random_subset(toyml, 50, 5)

rivolli/utiml documentation built on June 1, 2021, 11:48 p.m.