rkaf
Kolmogorov-Arnold Fourier Networks in R
Provides an R implementation of Kolmogorov-Arnold Fourier Networks using the torch backend. The package supports regression, binary classification, multiclass classification, formula and matrix interfaces, mini-batch training, validation splits, early stopping, standardization, best-model restoration, and KAF-specific diagnostics.
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
0.1.0 |
rolling linux/jammy R-4.5 | rkaf_0.1.0.tar.gz |
142.2 KiB |
0.1.0 |
rolling linux/noble R-4.5 | rkaf_0.1.0.tar.gz |
142.1 KiB |
0.1.0 |
rolling source/ R- | rkaf_0.1.0.tar.gz |
55.2 KiB |
0.1.0 |
latest linux/jammy R-4.5 | rkaf_0.1.0.tar.gz |
142.2 KiB |
0.1.0 |
latest linux/noble R-4.5 | rkaf_0.1.0.tar.gz |
142.1 KiB |
0.1.0 |
latest source/ R- | rkaf_0.1.0.tar.gz |
55.2 KiB |
0.1.0 |
2026-04-23 source/ R- | rkaf_0.1.0.tar.gz |
0 B |