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math/svmlin,
Fast Linear SVM Solvers for Supervised and Semi-supervised Learning
Branch: CURRENT,
Version: 1.0,
Package name: svmlin-1.0,
Maintainer: cheusovSVMlin is software package for linear SVMs. It is well-suited to
classification problems involving a large number of examples and features.
It is primarily written for sparse datasets.
SVMlin can also utilize unlabeled data, in addition to labeled examples.
It currently implements two extensions of standard SVMs to incorporate
unlabeled examples.
SVMlin implements the following algorithms:
- Fully supervised [using only labeled examples]
* Linear Regularized Least Squares (RLS) Classification
* Modified Finite Newton Linear L2-SVMs
- Semi-supervised [can use unlabeled data as well]
* Linear Transductive L2-SVMs with multiple switchings
* Deterministic Annealing (DA) for Semi-supervised Linear L2-SVMs
Required to build:[
devel/mk-configure] [
pkgtools/cwrappers]
Master sites:
Filesize: 1043.138 KB
Version history: (Expand)
- (2016-07-30) Package added to pkgsrc.se, version svmlin-1.0 (created)
CVS history: (Expand)