encode

Extracts the encoding calculated by a trained autoencoder for the specified
data.

Implementation of several unsupervised neural networks,
from building their architecture to their training and evaluation. Available
networks are auto-encoders including their main variants: sparse, contractive,
denoising, robust and variational, as described in Charte et al. (2018)
<doi:10.1016/j.inffus.2017.12.007>.

David Charte

ruta

Implementation of Unsupervised Neural Architectures

Francisco Charte

Francisco Herrera

encode function

<dl><dt>learner</dt>
<dd>Trained autoencoder model</dd>
<dt>data</dt>
<dd>data.frame to be encoded</dd></dl>

Arguments

Retrieve encoding of data — encode

<dl>

<dt>learner</dt>
<dd>Trained autoencoder model</dd>


<dt>data</dt>
<dd>data.frame to be encoded</dd>

</dl>

encode: Retrieve encoding of data

Description

Usage

Value

Arguments

See Also