libsvm-python - Library for Support Vector Machines

Property Value
Distribution FreeBSD 11
Repository FreeBSD Ports Latest i386
Package filename libsvm-python-3.23_1.txz
Package name libsvm-python
Package version 3.23
Package release 1
Package architecture i386
Package type txz
Category math python science
Download size 11.83 KB
Installed size 39.68 KB
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
- DOCS: on


Package Version Architecture Repository
libsvm-python-3.23_1.txz 3.23 amd64 FreeBSD Ports Quarterly
libsvm-python-3.23_1.txz 3.23 i386 FreeBSD Ports Quarterly
libsvm-python-3.23_1.txz 3.23 amd64 FreeBSD Ports Latest
libsvm-python - - -


Name Value
python36 = 3.6.8_2


Type URL
Binary Package libsvm-python-3.23_1.txz
Source Package science/libsvm-python

Install Howto

Install libsvm-python txz package:

# pkg install libsvm-python

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