weka binary package in Ubuntu Lunar 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.
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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.
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This package contains the binaries and examples.
Publishing history
Date | Status | Target | Component | Section | Priority | Phased updates | Version | ||
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2022-10-27 17:20:10 UTC | Published | Ubuntu Lunar amd64 | release | universe | science | Optional | 3.6.14-3 | ||
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