is_robust: Detect whether an autoencoder is robust
In fdavidcl/ruta: Implementation of Unsupervised Neural Architectures
View source: R/autoencoder_robust.R
is_robust R Documentation
Detect whether an autoencoder is robust
Description
Detect whether an autoencoder is robust
Usage
is_robust(learner)
Arguments
learner
A "ruta_autoencoder" object
Value
Logical value indicating if a correntropy loss was found
See Also
\link{correntropy}, \link{autoencoder_robust}, \link{make_robust}
fdavidcl/ruta documentation built on July 5, 2023, 6:32 p.m.
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View source: R/autoencoder_robust.R
| is_robust | R Documentation |
Detect whether an autoencoder is robust
Description
Detect whether an autoencoder is robust
Usage
is_robust(learner)
Arguments
learner |
A |
Value
Logical value indicating if a correntropy loss was found
See Also
\link{correntropy}, \link{autoencoder_robust}, \link{make_robust}
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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