math/classias 1.1.0.20160722 NetBSD
Collection of machine-learning algorithms for classification
- System
- NetBSD
- Repository
- pkgsrc
- Maintainer
- [email protected]
- License
- modified-bsd
- Categories
- math
- Package size
- 169.8 KiB, 783.2 KiB installed
Description
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
Install
Binary package:
pkgin install classias
From pkgsrc:
cd /usr/pkgsrc/math/classias && make install clean
Packages
The version each package repository carries. “-” means the repository builds no package of it, “n/a” that there is no such repository.
| Repository | Version |
|---|---|
| NetBSD 10.1 x86_64 | 1.1.0.20160722 |
| NetBSD 10.1 aarch64 | 1.1.0.20160722 |
| SmartOS / illumos x86_64 | 1.1.0.20160722 |
| macOS 15 arm64 | 1.1.0.20160722 |
Dependencies
Run dependencies 1
No port depends on this one.