Weka 3.4.19, 3.6.5 and 3.7.4

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

  • Weka 3.4.19 - the stable book 2nd edition version available as ZIP, Win32 installer, Win32 installer incl. JRE 1.6.0_21 and Mac OS X application. With the publication of the 3rd edition of the data mining book in January, this will be the last release from the 3.4 code line.

  • Weka 3.6.5 - stable book 3rd edition version. It is available as ZIP, with Win32 installer, Win32 installer incl. JRE 1.6.0_21, Win64 installer, Win64 installer incl. 64 bit JRE 1.6.0_21 and Mac OS X application.

  • Weka 3.7.4 - development version. It is available as ZIP, with Win32 installer, Win32 installer incl. JRE 1.6.0_21, Win64 installer, Win64 installer incl. 64 bit JRE 1.6.0_21 and Mac OS X application.

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

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

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 3.7.4?

Some highlights

In core weka:

  • SimpleKMeans now has an option to initialize cluster centers using the k-means++ method.
  • GUI and command-line package manager clients now report download progress.
  • TextDirectoryLoader now allows a character set to be specified for reading text files.
  • CSVLoader now supports reading date fields.
  • Vote meta classifier now has an option to load serialized models and include them in the ensemble.
  • Major UI and functionality overhaul for the Knowledge Flow (multiple flows open in separate tabs, new editing functionality, parallel and sequential execution of separate paths, built in templates, "notes" on the canvas, file associations for flow files, plugin "perspectives" etc.).
  • built-in scatter plot matrix, attribute summarizer and SQL viewer perspectives for the Knowledge Flow

In packages:
scatterPlot3D now includes a perspective for the Knowledge Flow
timeseriesForecasting package for performing closed-loop forecasting using any Weka regression scheme as base learner. Includes evaluation routines, JFreeChart-based visualization, an Explorer plugin, a Knowledge Flow perspective, and a component for using forecasting models in a Knowledge Flow process.
Improved performance in the WekaODF open document reader/writer package
TPP - projection pursuit visualization Explorer plugin contributed by Joe Faith from Northumbria University.

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

Cheers,
The Weka Team

Posted by Mark Hall 2011-07-06

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