elmNNRcpp (version 1.0.4)

onehot_encode: One-hot-encoding of the labels in case of classification

Description

One-hot-encoding of the labels in case of classification

Usage

onehot_encode(y)

Arguments

y

a numeric vector consisting of the response variable labels. The minimum value of the unique labels should begin from 0

Examples

# NOT RUN {
library(elmNNRcpp)

y = sample(0:3, 100, replace = TRUE)

y_expand = onehot_encode(y)

# }