In core weka:

• Package manager now handles redirects generated by SourceForge
• Package manager now employs a new class loading mechanism that attempts to avoid third-party library clashes by isolating the third-party libraries in each package
• new RelationNameModifier, SendToPerspective, WriteWekaLog, Job, StorePropertiesInEnvironment, SetPropertiesFromEnvironment, WriteDataToResult and GetDataFromResult steps in Knowledge Flow
• RandomForest now has an option for computing the mean impurity decrease variable importance scores
• JRip now prunes redundant numeric attribute-value tests from rules
• Knowledge Flow now offers an additional executor service that uses a single worker thread; steps can, if necessary, declare programatically that they should run in the single-threaded executor.
• GUIs with result lists now support multi-entry delete
• GUIs now support copying/pasting of array configurations to/from the clipboard

In packages:

• Multi-class FLDA in the discriminantAnalysis package
• New implementations in the ensemblesOfNestedDichotomies package
• distributedWekaBase now includes the latest version of Ted Dunning's t-digest quantile estimator, bringing a factor of 4 speedup over the old implementation
• New streamingUnivariateStats package
• RPlugin package updated to support the latest version of MLR
• New wekaDeepLearning4j package - provides a MLP classifier built using the DL4J library. Can work with either CPU-based or GPU-based native libraries
• New logarithmicErrorMetrics package
• New RankCorrelation package, courtesy of Quan Sun. Provides rank correlation metrics, Kendall tau and Spearman rho, for evaluating regression schemes
• New AffectiveTweets package, courtesy of Felipe Bravom. Provides text filters for sentiment analysis of tweets
• New AnalogicalModeling package, courtesy of Nathan Glenn. Provides an exemplar-based approach to modeling
• New MultiObjectiveEvolutionaryFuzzyClassifier package, courtesy of Carlos Martinez Cortes. Provides a fuzzy rule-based classifier
• New MultiObjectiveEvolutionarySearch package, courtesy of Carlos Martinez Cortes. Provides a search method that uses the ENORA multi-objective evolutionary algorithm