Weka 3.6.12 and 3.7.12



Hi everyone! I usually don’t blog a lot about Weka – unfortunately I don’t know it as well as I wanted, but it’s still a first class citizen of the Pentaho world!

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

Weka 3.6.12

stable book 3rd edition version. It is available as ZIP, with Win32 installer, Win32 installer incl. JRE 1.7.0_72, Win64 installer, Win64 installer incl. 64 bit JRE 1.7.0_72 and Mac OS X application (both Oracle and Apple JVM versions).

Weka 3.7.12

Weka 3.7.12 – development version. It is available as ZIP, with Win32 installer, Win32 installer incl. JRE 1.7.0_72, Win64 installer, Win64 installer incl. 64 bit JRE 1.7.0_72 and Mac OS X application (both Oracle and Apple JVM versions).

Both versions contain a significant number of bug fixes, it is recommended to upgrade to the new versions. Stable Weka 3.6 receives bug fixes only. The development version receives bug fixes and new features.

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

Pentaho data mining community documentation:
http://wiki.pentaho.com/ display/Pentaho+Data+Mining+ Community+Documentation

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

Note: It might take a while before Sourceforge.net has propagated all the

files to its mirrors.

What’s new in 3.7.12?



Some highlights

—————

In core weka:

  • GUIChooser now has a plugin exension point that allows implementation of GUIChooser. GUIChooserMenuPlugin to appear as entries in either the Tools or Visualization menus
  • SubsetByExpression filter now has support for regexp matching
  • weka.classifiers. IterativeClassifierOptimizer – a classifier that can efficiently optimize the number of iterations for a base classifier that implements IterativeClassifier
  • Speedup for LogitBoost in the two class case weka.filters.supervised. instance.ClassBalancer – a simple filter to balance the weight of classes
  • New class hierarchy for stopwords algorithms. Includes new methods to read custom stopwords from a file and apply multiple stopwords algorithms
  • Ability to turn off capabilities checking in Weka algorithms. Improves runtime for ensemble methods that create a lot of simple base classifiers
  • Memory savings in weka.core.Attribute
  • Improvements in runtime for SimpleKMeans and EM
  • weka.estimators. UnivariateMixtureEstimator – new mixture estimator

In packages:

  • New discriminantAnalysis package. Provides an implementation of Fisher’s linear discriminant analysis
  • Quartile estimators, correlation matrix heat map and k-means++ clustering in distributed Weka
  • Support for default settings for GridSearch via a properties file
  • Improvements in scripting with addition of the offical Groovy console (kfGroovy package) from the Groovy project and TigerJython (new tigerjython package) as the Jython console via the GUIChooser
  • Support for the latest version of MLR in the RPlugin package
  • EAR4 package contributed by Vahid Jalali
  • StudentFilters package contributed by Chris Gearhart
  • graphgram package contributed by Johannes Schneider



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

Thanks Weka Team

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