RSSL: Semi-supervised Learning in R

TL;DR

RSSL is an R package that facilitates semi-supervised learning research by providing various methods and examples to replicate key results in the field.

Contribution

The paper introduces RSSL, a comprehensive R package for semi-supervised learning, including implementation details and reproducible examples.

Findings

RSSL enables replication of semi-supervised learning results

The package includes multiple semi-supervised methods

It supports research and experimentation in semi-supervised learning

Abstract

In this paper, we introduce a package for semi-supervised learning research in the R programming language called RSSL. We cover the purpose of the package, the methods it includes and comment on their use and implementation. We then show, using several code examples, how the package can be used to replicate well-known results from the semi-supervised learning literature.