LIBSVM is an integrated machine learning software for Support Vector
Machines (SVM).
This library solves C-SVM classification, nu-SVM classification,
one-class-SVM, epsilon-SVM regression, and nu-SVM regression. It also
provides an automatic model selection tool for C-SVM classification.
The script build and install by default also Python bindings to LIBSVM.
if you are not interested you can disable this option launching the
slackbuild script as following:
PYTHON=no ./libsvm.SlackBuild
Dependency python3-scipy is not required if you disable this option.
This requires: python3-scipy
Maintained by: Giancarlo Dessi
Keywords: LIBSVM,SVM,machine learning,Support Vector Machines
ChangeLog: libsvm
Homepage:
https://www.csie.ntu.edu.tw/~cjlin/libsvm/
Download SlackBuild:
libsvm.tar.gz
libsvm.tar.gz.asc (FAQ)
(the SlackBuild does not include the source)
Individual Files: |
Makefile.patch |
README |
doinst.sh |
libsvm.SlackBuild |
libsvm.info |
libsvm.svm-toy-qt5.patch |
slack-desc |
svm-toy.png |
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