normalize_mldata: Normalize numerical attributes

Description Usage Arguments Value See Also Examples

View source: R/pre_process.R

Description

Normalize all numerical attributes to values between 0 and 1. The highest value is changed to 1 and the lowest value to 0.

Usage

1

Arguments

mdata

The mldr dataset to be normalized.

Value

a new mldr object.

See Also

Other pre process: fill_sparse_mldata(), remove_attributes(), remove_labels(), remove_skewness_labels(), remove_unique_attributes(), remove_unlabeled_instances(), replace_nominal_attributes()

Examples

1
norm.toy <- normalize_mldata(toyml)

utiml documentation built on May 31, 2021, 9:09 a.m.