noise_gaussian

A data filter which adds Gaussian noise to instances

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

noise_gaussian function

<dl><dt>sd</dt>
<dd>Standard deviation for the Gaussian distribution</dd>
<dt>var</dt>
<dd>Variance of the Gaussian distribution (optional, only used
if <code>sd</code> is not provided)</dd></dl>

Arguments

Additive Gaussian noise — noise_gaussian

<dl>

<dt>sd</dt>
<dd>Standard deviation for the Gaussian distribution</dd>


<dt>var</dt>
<dd>Variance of the Gaussian distribution (optional, only used
if <code>sd</code> is not provided)</dd>

</dl>

noise_gaussian: Additive Gaussian noise

Description

Usage

Value

Arguments

See Also