CRAN/E | RSSL

RSSL

Implementations of Semi-Supervised Learning Approaches for Classification

Installation

About

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.

Citation RSSL citation info
github.com/jkrijthe/RSSL
Bug report File report

Key Metrics

Version 0.9.7
R ≥ 2.10.0
Published 2023-12-07 134 days ago
Needs compilation? yes
License GPL-2
License GPL-3
CRAN checks RSSL results

Downloads

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Maintainer

Maintainer

Jesse Krijthe

jkrijthe@gmail.com

Authors

Jesse Krijthe

aut / cre

Material

README
Reference manual
Package source

macOS

r-release

arm64

r-oldrel

arm64

r-release

x86_64

r-oldrel

x86_64

Windows

r-devel

x86_64

r-release

x86_64

r-oldrel

x86_64

Old Sources

RSSL archive

Depends

R ≥ 2.10.0

Imports

methods
Rcpp
MASS
kernlab
quadprog
Matrix
dplyr
tidyr
ggplot2
reshape2
scales
cluster

Suggests

testthat
rmarkdown
SparseM
numDeriv
LiblineaR
covr

LinkingTo

Rcpp
RcppArmadillo

Reverse Imports

SSLR