remove_skewness_labels: Remove unusual or very common labels

In rivolli/utiml: Utilities for Multi-Label Learning

Description

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

Usage

remove_skewness_labels(mdata, t = 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

remove_skewness_labels(toyml, 20)

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