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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.
Getting started
Browse package contents
Package details |
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| Author | Enrique Garcia-Ceja [aut, cre] (<https://orcid.org/0000-0001-6864-8557>) |
| Maintainer | Enrique Garcia-Ceja <e.g.mx@ieee.org> |
| License | GPL-3 |
| Version | 0.1.1 |
| URL | https://github.com/enriquegit/ssr |
| Package repository | View on CRAN |
| Installation |
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