Paquet : weka-doc (3.6.14-1)
Liens pour weka-doc
Ressources Debian :
- Rapports de bogues
- Developer Information
- Journal des modifications Debian
- Fichier de licence
- Suivis des correctifs pour Debian
Télécharger le paquet source weka :
Responsables :
- Debian Java Maintainers (Page QA, Archive du courrier électronique)
- Soeren Sonnenburg (Page QA)
- Torsten Werner (Page QA)
- tony mancill (Page QA)
Ressources externes :
- Page d'accueil [www.cs.waikato.ac.nz]
Paquets similaires :
documentation for the Weka machine learning suite
Weka is a collection of machine learning algorithms in Java that can either be used from the command-line, or called from your own Java code. Weka is also ideally suited for developing new machine learning schemes.
Implemented schemes cover decision tree inducers, rule learners, model tree generators, support vector machines, locally weighted regression, instance-based learning, bagging, boosting, and stacking. Also included are clustering methods, and an association rule learner. Apart from actual learning schemes, Weka also contains a large variety of tools that can be used for pre-processing datasets.
This package contains the documentation.
Autres paquets associés à weka-doc
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- rec: weka
- algorithmes d'apprentissage automatique pour l’exploration de données
Télécharger weka-doc
Architecture | Taille du paquet | Espace occupé une fois installé | Fichiers |
---|---|---|---|
all | 4 661,9 ko | 43 779,0 ko | [liste des fichiers] |