RSSL-package: RSSL: Implementations of Semi-Supervised Learning Approaches...
In jkrijthe/RSSL: Implementations of Semi-Supervised Learning Approaches for Classification
RSSL-package R Documentation
RSSL: Implementations of Semi-Supervised Learning Approaches for Classification
Description
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.
Author(s)
Maintainer: Jesse Krijthe jkrijthe@gmail.com
See Also
Useful links:
-
Report bugs at https://github.com/jkrijthe/RSSL
jkrijthe/RSSL documentation built on Jan. 13, 2024, 1:56 a.m.
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| RSSL-package | R Documentation |
RSSL: Implementations of Semi-Supervised Learning Approaches for Classification
Description
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.
Author(s)
Maintainer: Jesse Krijthe jkrijthe@gmail.com
See Also
Useful links:
Report bugs at https://github.com/jkrijthe/RSSL
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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