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What's new in Weka 3.7.11

What's new in Weka 3.7.11

Apr 24, 2014

Core Weka

  • Bagging and RandomForest are now faster if the base learner is a WeightedInstancesHandler

  • Speed-ups for REPTree and other classes that use entropy calculations

  • Many other code improvements and speed-ups

  • Additional statistics available in the output of LinearRegression and SimpleLinearRegression. Contributed by Chris Meyer

  • Reduced memory consumption in BayesNet

  • Improvements to the package manager: load status of individual packages can now be toggled to prevent a package from loading; "Available" button now displays the latest version of all available packages that are compatible with the base version of Weka

  • RandomizableFilteredClassifier

  • Canopy clusterer

  • ImageViewer KnowledgeFlow component

  • PMML export support for Logistic. Infrastructure and changes contributed by David Person

  • Extensive tool-tips now displayed in the Explorer's scheme selector tree lists

  • Join KnowledgeFlow component for performing an inner join on two incoming streams/data sets

In Packages