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: | 0.6.1 |
| 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 |
| Published: | 2016-10-06 |
| Author: | Jesse Krijthe [aut, cre] |
| Maintainer: | Jesse Krijthe <jkrijthe at gmail.com> |
| BugReports: | http://www.github.com/jkrijthe/RSSL |
| License: | GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] |
| URL: | http://www.github.com/jkrijthe/RSSL |
| NeedsCompilation: | yes |
| Citation: | RSSL citation info |
| Materials: | README |
| CRAN checks: | RSSL results |
| Reference manual: | RSSL.pdf |
| Package source: | RSSL_0.6.1.tar.gz |
| Windows binaries: | r-devel: RSSL_0.6.1.zip, r-release: RSSL_0.6.1.zip, r-oldrel: RSSL_0.6.1.zip |
| OS X El Capitan binaries: | r-release: RSSL_0.6.1.tgz |
| OS X Mavericks binaries: | r-oldrel: RSSL_0.6.1.tgz |
| Old sources: | RSSL archive |
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