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Core Weka

  • HoeffdingTree. Ported from the MOA implementation to a Weka classifier
  • MergeInfrequentNominalValues filter
  • MergeNominalValues filter. Uses an CHAID-style merging routine
  • Zoom facility in the Knowledge Flow
  • Epsilon-insensitive and Huber loss functions in SGD
  • More CSVLoader improvements
  • Class specific IR metric based evaluation in WrapperSubsetEval
  • GainRatioAttributeEval now supports instance weights
  • New command line option to force batch training mode when the classifier is an incremental one
  • LinearRegression is now faster and more memory efficient thanks to a contribution from Sean Daugherty
  • CfsSubsetEval can now use multiple CPUs/cores to pre-compute the correlation matrix (speeds up backward searches)
  • GreedyStepwise can now evaluate mutliple subsets in parallel

In Packages


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