./math/classias, Collection of machine-learning algorithms for classification

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Branch: pkgsrc-2020Q4, Version: 1.1.0.20160722, Package name: classias-1.1.0.20160722, Maintainer: cheusov

Classias 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

Master sites:

SHA1: f436357dbb5982dab67a0cc365379299e70b061c
RMD160: fae6ea9d7da067fc12438d3697fa78edf8849e78
Filesize: 133.704 KB

Version history: (Expand)