[ Bron: weka ]
Pakket: weka-doc (3.6.14-1)
Verwijzigingen voor weka-doc
Debian bronnen:
Het bronpakket weka downloaden:
Beheerders:
- Debian Java Maintainers (QA-pagina, Mailarchief)
- Soeren Sonnenburg (QA-pagina)
- Torsten Werner (QA-pagina)
- tony mancill (QA-pagina)
Externe bronnen:
- Homepage [www.cs.waikato.ac.nz]
Vergelijkbare pakketten:
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.
Andere aan weka-doc gerelateerde pakketten
|
|
|
|
-
- rec: weka
- Machine learning algorithms for data mining tasks