FSDAM
Forward Stepwise Deep Autoencoder-Based Monotone NLDR
FS-DAM performs feature extraction through latent variables identification. Implementation is based on autoencoders with monotonicity and orthogonality constraints.
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
2024.7-30 |
rolling source/ R- | FSDAM_2024.7-30.tar.gz |
52.8 KiB |
2024.7-30 |
rolling linux/jammy R-4.5 | FSDAM_2024.7-30.tar.gz |
67.6 KiB |
2024.7-30 |
latest source/ R- | FSDAM_2024.7-30.tar.gz |
52.8 KiB |
2024.7-30 |
latest linux/jammy R-4.5 | FSDAM_2024.7-30.tar.gz |
67.6 KiB |
2024.7-30 |
2026-04-23 source/ R- | FSDAM_2024.7-30.tar.gz |
52.8 KiB |
2024.7-30 |
2026-04-09 windows/windows R-4.5 | FSDAM_2024.7-30.zip |
71.7 KiB |
2024.7-30 |
2025-04-20 source/ R- | FSDAM_2024.7-30.tar.gz |
52.8 KiB |
Dependencies (latest)
Imports
- kyotil
- reticulate (>= 1.10)