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The Waikato Environment for Knowledge Analysis (WEKA), a machine learning workbench. This version represents the developer version, the "bleeding edge" of development, you could say. New functionality gets added to this version.

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# Mappings for classes to be handled in the GenericObjectEditor
#
# Format:
#   =
#
# Notes: 
# - array classes have to be suffixed with "[]"
# - full classname has to be provided
#
# author:  FracPete (fracpete at waikato dot ac dot nz)
# version: $Revision: 11320 $

# general
java.lang.Object[]=weka.gui.GenericArrayEditor
java.io.File=weka.gui.FileEditor
java.text.SimpleDateFormat=weka.gui.SimpleDateFormatEditor
java.io.File[]=weka.gui.GenericArrayEditor

# core
weka.core.SelectedTag=weka.gui.SelectedTagEditor
weka.core.DistanceFunction=weka.gui.GenericObjectEditor
weka.core.Range=weka.gui.GenericObjectEditor
weka.core.Range[]=weka.gui.GenericArrayEditor
weka.core.converters.Loader=weka.gui.GenericObjectEditor
weka.core.converters.Saver=weka.gui.GenericObjectEditor
weka.core.neighboursearch.NearestNeighbourSearch=weka.gui.GenericObjectEditor
weka.core.neighboursearch.balltrees.BallTreeConstructor=weka.gui.GenericObjectEditor
weka.core.neighboursearch.balltrees.BallSplitter=weka.gui.GenericObjectEditor
weka.core.neighboursearch.kdtrees.KDTreeNodeSplitter=weka.gui.GenericObjectEditor
weka.core.stemmers.Stemmer=weka.gui.GenericObjectEditor
weka.core.stopwords.StopwordsHandler=weka.gui.GenericObjectEditor
weka.core.stopwords.StopwordsHandler[]=weka.gui.GenericArrayEditor
weka.core.tokenizers.Tokenizer=weka.gui.GenericObjectEditor

# estimators
weka.estimators.Estimator=weka.gui.GenericObjectEditor
weka.estimators.Estimator[]=weka.gui.GenericArrayEditor

# univariate estimators
weka.estimators.UnivariateDensityEstimator=weka.gui.GenericObjectEditor
weka.estimators.UnivariateDensityEstimator[]=weka.gui.GenericArrayEditor

# filters
weka.filters.Filter=weka.gui.GenericObjectEditor
weka.filters.Filter[]=weka.gui.GenericArrayEditor

# classifiers
weka.classifiers.Classifier=weka.gui.GenericObjectEditor
weka.classifiers.IterativeClassifier=weka.gui.GenericObjectEditor
weka.classifiers.Classifier[]=weka.gui.GenericArrayEditor
weka.classifiers.CostMatrix=weka.gui.CostMatrixEditor
weka.classifiers.bayes.net.search.SearchAlgorithm=weka.gui.GenericObjectEditor
weka.classifiers.bayes.net.estimate.BayesNetEstimator=weka.gui.GenericObjectEditor
weka.classifiers.evaluation.output.prediction.AbstractOutput=weka.gui.GenericObjectEditor
weka.classifiers.functions.supportVector.Kernel=weka.gui.GenericObjectEditor
weka.classifiers.functions.supportVector.RegOptimizer=weka.gui.GenericObjectEditor
#weka.classifiers.meta.generators.Generator=weka.gui.GenericObjectEditor
#weka.classifiers.meta.ensembleSelection.EnsembleSelectionLibrary=weka.gui.EnsembleSelectionLibraryEditor

# experiment
weka.experiment.ResultListener=weka.gui.GenericObjectEditor
weka.experiment.ResultProducer=weka.gui.GenericObjectEditor
weka.experiment.SplitEvaluator=weka.gui.GenericObjectEditor
weka.experiment.ResultMatrix=weka.gui.GenericObjectEditor
weka.experiment.Tester=weka.gui.GenericObjectEditor

# datagenerators
weka.datagenerators.DataGenerator=weka.gui.GenericObjectEditor
weka.datagenerators.ClusterDefinition=weka.gui.GenericObjectEditor
weka.datagenerators.ClusterDefinition[]=weka.gui.GenericArrayEditor

# associations
weka.associations.Associator=weka.gui.GenericObjectEditor

# clusterers
weka.clusterers.Clusterer=weka.gui.GenericObjectEditor
weka.clusterers.DensityBasedClusterer=weka.gui.GenericObjectEditor

# attribute selection
weka.attributeSelection.ASEvaluation=weka.gui.GenericObjectEditor
weka.attributeSelection.ASSearch=weka.gui.GenericObjectEditor
weka.attributeSelection.UnsupervisedSubsetEvaluator=weka.gui.GenericObjectEditor

# partition generators
weka.core.PartitionGenerator=weka.gui.GenericObjectEditor

#generators
#weka.classifiers.meta.generators.NominalAttributeGenerator=weka.gui.GenericObjectEditor
#weka.classifiers.meta.generators.NumericAttributeGenerator=weka.gui.GenericObjectEditor