onehot_encode: One-hot-encoding of the labels in case of classification
In elmNNRcpp: The Extreme Learning Machine Algorithm
onehot_encode R Documentation
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
library(elmNNRcpp)
y = sample(0:3, 100, replace = TRUE)
y_expand = onehot_encode(y)
elmNNRcpp documentation built on March 18, 2022, 7:26 p.m.
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| onehot_encode | R Documentation |
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
library(elmNNRcpp) y = sample(0:3, 100, replace = TRUE) y_expand = onehot_encode(y)
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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