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math/classias,
Collection of machine-learning algorithms for classification
Branch: CURRENT,
Version: 1.1.0.20160722,
Package name: classias-1.1.0.20160722,
Maintainer: cheusovClassias is a collection of machine-learning algorithms for
classification. Currently, it supports the following formalizations:
L1/L2-regularized logistic regression (aka. Maximum Entropy)
L1/L2-regularized L1-loss linear-kernel Support Vector Machine (SVM)
Averaged perceptron
It implements several algorithms for training classifiers:
Averaged perceptron
Limited-memory Broyden-Fletcher-Goldfarb-Shanno (L-BFGS) [Nocedal80]
Orthant-Wise Limited-memory Quasi-Newton (OWL-QN) [Andrew07]
Primal Estimated sub-GrAdient SOlver (Pegasos) [Shalev-Shwartz07]
Truncated Gradient [Langford09], also known as FOrward LOoking
Subgradient (FOLOS) [Duchi09] specialized for L1 regularization
Required to run:[
math/liblbfgs]
Required to build:[
pkgtools/cwrappers]
Master sites:
Filesize: 133.704 KB
Version history: (Expand)
- (2016-07-22) Package added to pkgsrc.se, version classias-1.1.0.20160722 (created)
CVS history: (Expand)