ari-dasci/S-reducing-complexity: Autoencoders for Supervised Complexity Reduction
Implementations of custom autoencoders based on the Ruta package: (1) Scorer is regularized with Fisher's Discriminant Ratio, and (2) Slicer uses a LS-SVM-based penalty to achieve better class separability.
Getting started
Browse package contents
Package details |
|
|---|---|
| Author | David Charte |
| Maintainer | David Charte <fdavidcl@ugr.es> |
| License | GPL-3 |
| Version | 0.1.0 |
| Package repository | View on GitHub |
| Installation |
Install the latest version of this package by entering the following in R:
|
