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) . Users can define which set of regressors to use as base models from the 'caret' package, other packages, or custom functions.


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install.packages("ssr")

0.1.1 by Enrique Garcia-Ceja, 3 months ago


https://github.com/enriquegit/ssr


Report a bug at https://github.com/enriquegit/ssr/issues


Browse source code at https://github.com/cran/ssr


Authors: Enrique Garcia-Ceja [aut, cre]


Documentation:   PDF Manual  


GPL-3 license


Imports caret, e1071

Suggests knitr, rmarkdown, tgp


See at CRAN