science/libsvm 3.24 DragonFly

Library for Support Vector Machines

System: DragonFly
Repository: DPorts
Maintainer: [email protected] (as in FreeBSD)
License: BSD3CLAUSE
Categories: math, science
Package size: 98.4 KiB, 438.8 KiB installed

Description

LIBSVM is an integrated software for support vector classification, (C-SVC, nu-SVC), regression (epsilon-SVR, nu-SVR) and distribution estimation (one-class SVM). It supports multi-class classification.

LIBSVM provides a simple interface where users can easily link it with their own programs. Main features of LIBSVM include

* Different SVM formulations * Efficient multi-class classification * Cross validation for model selection * Probability estimates * Weighted SVM for unbalanced data * Both C++ and Java sources * GUI demonstrating SVM classification and regression * Python, R (also Splus), MATLAB, Perl, Ruby, Weka, Common LISP and LabVIEW interfaces. C# .NET code is available. It's also included in some learning environments: YALE and PCP. * Automatic model selection which can generate contour of cross valiation accuracy.

In the other systems

System

Port

Version

DragonFly

science/libsvm

3.24

FreeBSD

science/libsvm

3.24

NetBSD

math/libsvm

3.24nb3

Install

Binary package:

pkg install libsvm

From DPorts:

cd /usr/dports/science/libsvm && make install clean

Dependencies

Required by 1

biology/vt

Configuration

No options to configure.

Service scripts: none

Message after installing

Some useful tools are installed to /usr/local/share/libsvm.
Most of them are written in Python, please install
lang/python before trying them.

===>   NOTICE:

The libsvm port currently does not have a maintainer. As a result, it is
more likely to have unresolved issues, not be up-to-date, or even be removed in
the future. To volunteer to maintain this port, please create an issue at:

https://bugs.freebsd.org/bugzilla

More information about port maintainership is available at:

https://docs.freebsd.org/en/articles/contributing/#ports-contributing