weka binary package in Ubuntu Mantic amd64

 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 binaries and examples.

Publishing history

Date Status Target Pocket Component Section Priority Phased updates Version
  2023-04-25 12:10:09 UTC Published Ubuntu Mantic amd64 release universe science Optional 3.6.14-3
  • Published
  • Copied from ubuntu jammy-proposed amd64 in Primary Archive for Ubuntu

Source package