create_subset: Create a subset of a dataset
In rivolli/utiml: Utilities for Multi-Label Learning

Description Usage Arguments Value Note See Also Examples

Create a subset of a dataset

1	create_subset(mdata, rows, cols = NULL)

`mdata`	A mldr dataset
`rows`	A vector with the instances indexes (names or indexes).
`cols`	A vector with the attributes indexes (names or indexes).

A new mldr subset

It is not necessary specify the labels attributes because they are included by default.

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

## Create a dataset with the 20 first examples and the 7 first attributes
small.toy <- create_subset(toyml, seq(20), seq(7))

## Create a random dataset with 50 examples and 5 attributes
random.toy <- create_subset(toyml, sample(100, 50), sample(10, 5))