The hardware and bandwidth for this mirror is donated by METANET, the Webhosting and Full Service-Cloud Provider.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]metanet.ch.
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.
Version: | 0.9.7 |
Depends: | R (≥ 2.10.0) |
Imports: | methods, Rcpp, MASS, kernlab, quadprog, Matrix, dplyr, tidyr, ggplot2, reshape2, scales, cluster |
LinkingTo: | Rcpp, RcppArmadillo |
Suggests: | testthat, rmarkdown, SparseM, numDeriv, LiblineaR, covr |
Published: | 2023-12-07 |
DOI: | 10.32614/CRAN.package.RSSL |
Author: | Jesse Krijthe [aut, cre] |
Maintainer: | Jesse Krijthe <jkrijthe at gmail.com> |
BugReports: | https://github.com/jkrijthe/RSSL |
License: | GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] |
URL: | https://github.com/jkrijthe/RSSL |
NeedsCompilation: | yes |
Citation: | RSSL citation info |
Materials: | README |
CRAN checks: | RSSL results |
Reference manual: | RSSL.pdf |
Package source: | RSSL_0.9.7.tar.gz |
Windows binaries: | r-devel: RSSL_0.9.7.zip, r-release: RSSL_0.9.7.zip, r-oldrel: RSSL_0.9.7.zip |
macOS binaries: | r-release (arm64): RSSL_0.9.7.tgz, r-oldrel (arm64): RSSL_0.9.7.tgz, r-release (x86_64): RSSL_0.9.7.tgz, r-oldrel (x86_64): RSSL_0.9.7.tgz |
Old sources: | RSSL archive |
Reverse imports: | SSLR |
Please use the canonical form https://CRAN.R-project.org/package=RSSL to link to this page.
These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.