What's new in Weka 3.7.11

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

• IWSSembeded package, contributed by Pablo Bermejo
• CVAttributeEval package, contributed by Justin Liang
• distributedWeka package for Hadoop
• Improvements to multiLayerPerceptrons and addition of MLPAutoencoder
• Code clean-up in many packages