New Features in 3.7.2
- New package management system with both command-line and GUI interfaces
- Denormalize filter for flattening transactional data
- Import of PMML support vector machine models
- SGD stochastic gradient descent for learning binary SVMs, logistic regression and linear regression (can be trained incrementally)
- scatterPlot3D - a new package that adds a 3D scatter plot visualization to the Explorer
- associationRulesVisualizer - a new package that adds a 3D visualization of association rules to Associations panel of the Explorer
- prefuseTree - a new package that encapsulates the visualization of
trees using the Prefuse visualization library (originally available as a
source code download from the Weka wiki)
- prefuseGraph - a new package that encapsulates the visualization of
graphs using Prefuse visualization library (originally available as a
source code download from the Weka wiki)
- massiveOnlineAnalysis - a new connector package for the MOA data
stream learning tool
- kfGroovy - a new package that adds a component to the Knowledge Flow
that allows a Knowledge Flow step to be coded and compiled dynamically
at runtime from a Groovy script
- GridSearch (now in a package called gridSearch) is now multi-threaded
to take advantange of multi-core machines
- MathExpression filter can now reference values other than that of the
attribute being processed
- FPGrowth now has a special command-line only option that enables the
two passes over the data required by the algorithm to be done
incrementally by reading one instance at a time off of the disk
- Scatter plot matrix visualization now has a "fast scroll" feature
(consumes more memory than regular scrolling)
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