densemlp
Dense Neural Networks for Tabular Classification and Regression
Provides dense feed-forward neural network models for tabular regression and classification using 'torch'. The package supports modern extensions around dense neural network blocks, including dropout, batch normalization, residual connections, gated blocks, and optional input projection.
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
0.5.0 |
rolling linux/jammy R-4.5 | densemlp_0.5.0.tar.gz |
291.7 KiB |
0.5.0 |
rolling linux/noble R-4.5 | densemlp_0.5.0.tar.gz |
291.6 KiB |
0.5.0 |
rolling source/ R- | densemlp_0.5.0.tar.gz |
192.5 KiB |
0.5.0 |
latest linux/jammy R-4.5 | densemlp_0.5.0.tar.gz |
291.7 KiB |
0.5.0 |
latest linux/noble R-4.5 | densemlp_0.5.0.tar.gz |
291.6 KiB |
0.5.0 |
latest source/ R- | densemlp_0.5.0.tar.gz |
192.5 KiB |
0.5.0 |
2026-04-23 source/ R- | densemlp_0.5.0.tar.gz |
0 B |