ssr: Semi-Supervised Regression Methods

An implementation of semi-supervised regression methods including self-learning and co-training by committee based on Hady, M. F. A., Schwenker, F., & Palm, G. (2009) <doi:10.1007/978-3-642-04274-4_13>. Users can define which set of regressors to use as base models from the 'caret' package, other packages, or custom functions.

Package details

AuthorEnrique Garcia-Ceja [aut, cre] (<>)
MaintainerEnrique Garcia-Ceja <>
Package repositoryView on CRAN
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ssr documentation built on Sept. 2, 2019, 5:06 p.m.