remove_skewness_labels: Remove unusual or very common labels

Description Usage Arguments Value See Also Examples

View source: R/pre_process.R

Description

Remove the labels that have smaller number of positive or negative examples based on a specific threshold value.

Usage

1

Arguments

mdata

The mldr dataset to remove the skewness labels.

t

Threshold value. Number of minimum examples positive and negative.

Value

a new mldr object.

See Also

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

Examples

1

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