weka-doc 3.6.10-2 (ppc64el binary) in ubuntu trusty
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.
Details
- Package version:
- 3.6.10-2
- Status:
- Published
- Component:
- universe
- Priority:
- Optional
Downloadable files
i386 build of weka 3.6.10-2 in ubuntu trusty PROPOSED produced
these files:
- weka-doc_3.6.10-2_all.deb (4.5 MiB)
Package relationships
- Recommends: