weka binary package in Ubuntu Trusty arm64
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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2013-12-05 12:13:22 UTC | Published | Ubuntu Trusty arm64 | release | universe | science | Optional | 3.6.10-2 | ||
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Deleted | Ubuntu Trusty arm64 | proposed | universe | science | Optional | 3.6.10-2 | |||
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2013-12-05 12:14:15 UTC | Superseded | Ubuntu Trusty arm64 | release | universe | science | Optional | 3.6.10-1 | ||
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2013-12-06 12:10:15 UTC | Deleted | Ubuntu Trusty arm64 | proposed | universe | science | Optional | 3.6.10-1 | ||
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2013-10-23 04:05:04 UTC | Superseded | Ubuntu Trusty arm64 | release | universe | science | Optional | 3.6.6-1 | ||
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