MEKA
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  • An Overview of Methods in MEKA

Methods (API)

  • meka.classifiers.multilabel.BCC
  • meka.classifiers.multilabel.BPNN
  • meka.classifiers.multilabel.BR
  • meka.classifiers.multilabel.BRq
  • meka.classifiers.multilabel.CC
  • meka.classifiers.multilabel.CCq
  • meka.classifiers.multilabel.CDN
  • meka.classifiers.multilabel.CDT
  • meka.classifiers.multilabel.CT
  • meka.classifiers.multilabel.DBPNN
  • meka.classifiers.multilabel.FW
  • meka.classifiers.multilabel.HASEL
  • meka.classifiers.multilabel.incremental.BRUpdateable
  • meka.classifiers.multilabel.incremental.CCUpdateable
  • meka.classifiers.multilabel.incremental.MajorityLabelsetUpdateable
  • meka.classifiers.multilabel.incremental.meta.BaggingMLUpdateable
  • meka.classifiers.multilabel.incremental.PSUpdateable
  • meka.classifiers.multilabel.incremental.RTUpdateable
  • meka.classifiers.multilabel.LC
  • meka.classifiers.multilabel.MajorityLabelset
  • meka.classifiers.multilabel.Maniac
  • meka.classifiers.multilabel.MCC
  • meka.classifiers.multilabel.meta.BaggingML
  • meka.classifiers.multilabel.meta.BaggingMLdup
  • meka.classifiers.multilabel.meta.CM
  • meka.classifiers.multilabel.meta.DeepML
  • meka.classifiers.multilabel.meta.EM
  • meka.classifiers.multilabel.meta.EnsembleML
  • meka.classifiers.multilabel.meta.ERFH
  • meka.classifiers.multilabel.meta.FilteredClassifier
  • meka.classifiers.multilabel.meta.HOMER
  • meka.classifiers.multilabel.meta.MBR
  • meka.classifiers.multilabel.meta.MLRF
  • meka.classifiers.multilabel.meta.MultiSearch
  • meka.classifiers.multilabel.meta.RandomSubspaceML
  • meka.classifiers.multilabel.meta.SubsetMapper
  • meka.classifiers.multilabel.MLCBMaD
  • meka.classifiers.multilabel.MULAN
  • meka.classifiers.multilabel.PCC
  • meka.classifiers.multilabel.PLST
  • meka.classifiers.multilabel.PMCC
  • meka.classifiers.multilabel.PS
  • meka.classifiers.multilabel.PSt
  • meka.classifiers.multilabel.RAkEL
  • meka.classifiers.multilabel.RAkELd
  • meka.classifiers.multilabel.RT
  • meka.classifiers.multitarget.BCC
  • meka.classifiers.multitarget.CC
  • meka.classifiers.multitarget.CCp
  • meka.classifiers.multitarget.CR
  • meka.classifiers.multitarget.meta.BaggingMT
  • meka.classifiers.multitarget.meta.EnsembleMT
  • meka.classifiers.multitarget.meta.FilteredClassifier
  • meka.classifiers.multitarget.meta.MultiSearch
  • meka.classifiers.multitarget.NSR
  • meka.classifiers.multitarget.RAkELd
  • meka.classifiers.multitarget.SCC
MEKA
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  • September 6, 2024: Meka 1.9.8 is released.

  • October 17, 2022: Meka 1.9.7 is released.

  • May 11, 2022: Meka 1.9.6 is released.

  • May 28, 2021: Meka 1.9.5 is released.

  • December 31, 2020: Meka 1.9.4 is released.

  • October 25, 2020: Meka 1.9.3 is released.

  • October 19, 2020: Sourceforget.net decommissioned mailing lists, please use Github issues instead for asking questions.

  • March 29, 2018: Meka 1.9.2 is released.

  • April 12, 2017: Meka 1.9.1 is released. This release gives several minor improvements and fixes over the previous version, and also includes new features and new classifiers. See the README regarding changes.

  • December 08, 2016: Added some examples of how to use Meka in your Java code.

  • April 29, 2016: Meka published in Journal of Machine Learning Research MLOSS track. You can now cite Meka.

  • November 04, 2015: Meka has moved to GitHub. The releases and other files will still be updated at SourceForge.net, but the code repository is now: https://github.com/Waikato/meka.

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