fill_sparse_mldata: Fill sparse dataset with 0 or " values

In rivolli/utiml: Utilities for Multi-Label Learning

Description

Transform a sparse dataset filling NA values to 0 or ” based on the column type. Text columns with numeric values will be modified to numerical.

Usage

fill_sparse_mldata(mdata)

Arguments

mdata

The mldr dataset to be filled.

Value

a new mldr object.

See Also

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

Examples

sparse.toy <- toyml
sparse.toy$dataset$ratt10[sample(100, 30)] <- NA
complete.toy <- fill_sparse_mldata(sparse.toy)

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