Paquet : python-shogun (3.2.0-5.2)

Liens pour python-shogun

Ressources Debian :

Télécharger le paquet source python-shogun :

Responsable :

Soeren Sonnenburg (Page QA)

Ressources externes :

Page d'accueil [www.shogun-toolbox.org]

Paquets similaires :

Large Scale Machine Learning Toolbox

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.

SHOGUN comes in different flavours, a stand-a-lone version and also with interfaces to Matlab(tm), R, Octave, Readline and Python. This package contains the static and the modular Python interfaces.

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dépendances

recommandations

suggestions

enhances

dep: libc6 (>= 2.1.3) [i386]

bibliothèque C GNU : bibliothèques partagées
un paquet virtuel est également fourni par libc6-udeb

dep: libc6 (>= 2.14) [amd64]

dep: libc6 (>= 2.17) [arm64]

dep: libc6 (>= 2.4) [armhf]
dep: libgcc1 (>= 1:4.1.1) [amd64, i386]

bibliothèque de prise en charge de GCC

dep: libgcc1 (>= 1:4.4.0) [armhf]

dep: libgcc1 (>= 1:4.7) [arm64]
dep: libpython2.7 (>= 2.7)

bibliothèque d'exécution partagée Python - version 2.7
dep: libshogun16

Large Scale Machine Learning Toolbox
dep: libstdc++6 (>= 4.5)

bibliothèque standard C++ de GNU v3
dep: python (<< 2.8)

langage interactif de haut niveau orienté objet (version Python2)

dep: python (>= 2.7)
dep: python-numpy (>= 1:1.8.0)

gestion rapide des tableaux avec Python
dep: python-numpy-abi9

paquet virtuel fourni par python-numpy

rec: python-matplotlib

système de traçage basé sur Python dans un style similaire à celui Matlab
rec: python-scipy

outils scientifiques pour Python

Télécharger python-shogun

Télécharger pour toutes les architectures proposées
Architecture	Taille du paquet	Espace occupé une fois installé	Fichiers
amd64	3 379,9 ko	18 825,0 ko	[liste des fichiers]
arm64	3 002,2 ko	19 041,0 ko	[liste des fichiers]
armhf	3 053,0 ko	14 376,0 ko	[liste des fichiers]
i386	3 233,2 ko	17 101,0 ko	[liste des fichiers]