Bonjour, j'ai besoin d'utiliser la toolbox shogun (
http://www.shogun-toolbox.org) pour mon travail de fin d'étude.
J'en ai profité pour en faire un rpm pour fedora.
Le paquet est compilé avec l'option --disable-svmlight (car svmlight n'est pas GPL).
Résumé du test : shogun et 9 packets dérivé (shogun-python, shogun-R...)
Résumé de la description : shogun est une toolbox orientée machine learning (svm, clustering...)
URL Spec : http://home.scarlet.be/~tsa31182/shogun.spec
URL SRPM : http://home.scarlet.be/~tsa31182/shogun-0.9.0-0.1.alpha.fc11.src.rpm
Description en anglais:
SHOGUN - is a new machine learning toolbox with focus on large scale
kernel methods and especially on Support Vector Machines (SVM) with
focus to bioinformatics. It provides a generic SVM object interfacing
to several different SVM implementations. Each of the SVMs can be
combined with a variety of the many kernels implemented. It can deal
with weighted linear combination of a number of sub-kernels, each of
which not necessarily working on the same domain, where an optimal
sub-kernel weighting can be learned using Multiple Kernel Learning.
Apart from SVM 2-class classification and regression problems, a number
of linear methods like Linear Discriminant Analysis (LDA), Linear
Programming Machine (LPM), (Kernel) Perceptrons and also algorithms to
train hidden markov models are implemented. The input feature-objects
can be dense, sparse or strings and of type int/short/double/char and
can be converted into different feature types. Chains of preprocessors
(e.g. substracting the mean) can be attached to each feature object
allowing for on-the-fly pre-processing.
URL fichiers tests : http://home.scarlet.be/~tsa31182/shogun-testsuite.tar.gz
Ces fichiers servent à tester que les différents modules sont bien installés.
Merci d'avance pour vos critiques.
