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What's new in Weka 3.7.12
What's new in Weka 3.7.12
Core Weka
- GUIChooser now has a plugin exension point that allows implementations 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
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