Hi everyone!

New versions of Weka are available for download from the Weka homepage:

* Weka 3.8.1 - stable version. It is available as ZIP, with Win32 installer, Win32 installer incl. JRE 1.8.0_112, Win64 installer, Win64 installer incl. 64 bit JRE 1.8.0_112 and Mac OS X application with Oracle 64 bit JRE 1.8.0_112.

* Weka 3.9.1 - development version. It is available as ZIP, with Win32 installer, Win32 installer incl. JRE 1.8.0_112, Win64 installer, Win64 installer incl. 64 bit JRE 1.8.0_112 and Mac OS X application with Oracle 64 bit JRE 1.8.0_112.

* Weka 3.6.15 - stable book 3rd edition version. It is available as ZIP, with Win32 installer, Win32 installer incl. JRE 1.8.0_112, Win64 installer, Win64 installer incl. 64 bit JRE 1.8.0_112 and Mac OS X application with Oracle 64 bit JRE 1.8.0_112.

Stable 3.8 receives bug fixes and new features that do not include breaking API changes and maintain serialized model compatibility. 3.9 (development) receives bug fixes and new features that might include breaking API changes and/or render models serialized using earlier versions incompatible.

NOTE: 3.6.15 is the final release of stable-3-6.

Weka homepage:
http://www.cs.waikato.ac.nz/~ml/weka/

Pentaho data mining community documentation:
http://wiki.pentaho.com/display/Pent...+Documentation

Packages for Weka>=3.7.2 can be browsed online at:
http://weka.sourceforge.net/packageMetaData/


What's new in 3.8.1/3.9.1?

Some highlights
---------------

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


As usual, for a complete list of changes refer to the changelogs.