RSSL
Implementations of Semi-Supervised Learning Approaches for Classification
A collection of implementations of semi-supervised classifiers and methods to evaluate their performance. The package includes implementations of, among others, Implicitly Constrained Learning, Moment Constrained Learning, the Transductive SVM, Manifold regularization, Maximum Contrastive Pessimistic Likelihood estimation, S4VM and WellSVM.
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
0.9.8 |
rolling linux/jammy R-4.5 | RSSL_0.9.8.tar.gz |
1.8 MiB |
0.9.8 |
rolling linux/noble R-4.5 | RSSL_0.9.8.tar.gz |
1.8 MiB |
0.9.8 |
rolling source/ R- | RSSL_0.9.8.tar.gz |
1.0 MiB |
0.9.8 |
latest linux/jammy R-4.5 | RSSL_0.9.8.tar.gz |
1.8 MiB |
0.9.8 |
latest linux/noble R-4.5 | RSSL_0.9.8.tar.gz |
1.8 MiB |
0.9.8 |
latest source/ R- | RSSL_0.9.8.tar.gz |
1.0 MiB |
0.9.8 |
2026-04-26 source/ R- | RSSL_0.9.8.tar.gz |
1.0 MiB |
0.9.8 |
2026-04-23 source/ R- | RSSL_0.9.8.tar.gz |
1.0 MiB |
0.9.8 |
2026-04-09 windows/windows R-4.5 | RSSL_0.9.8.zip |
2.2 MiB |
0.9.7 |
2025-04-20 source/ R- | RSSL_0.9.7.tar.gz |
1.0 MiB |