beans.props

为了下东西 随便发了个 datamining 的源代码

# list of standard toolbars (containing bean tools that do not wrap weka
# base class types)
weka.gui.beans.KnowledgeFlow.standardToolBars=\
 Evaluation,\
 Visualization,\
 DataSinks

# Specifies the tools for each standard toolbar
weka.gui.beans.KnowledgeFlow.Evaluation=weka.gui.beans.TrainingSetMaker,\
 weka.gui.beans.TestSetMaker,\
 weka.gui.beans.CrossValidationFoldMaker,\
 weka.gui.beans.TrainTestSplitMaker,\
 weka.gui.beans.ClassAssigner,\
 weka.gui.beans.ClassValuePicker,\
 weka.gui.beans.ClassifierPerformanceEvaluator,\
 weka.gui.beans.IncrementalClassifierEvaluator,\
 weka.gui.beans.PredictionAppender
weka.gui.beans.KnowledgeFlow.Visualization=weka.gui.beans.DataVisualizer,\
 weka.gui.beans.ScatterPlotMatrix,\
 weka.gui.beans.AttributeSummarizer,\
 weka.gui.beans.ModelPerformanceChart,\
 weka.gui.beans.TextViewer,\
 weka.gui.beans.GraphViewer,\
 weka.gui.beans.StripChart
weka.gui.beans.KnowledgeFlow.DataSinks=weka.gui.beans.CSVDataSink

# the bean panel processes keys in the generic object editor properties file.
# If there is a corresponding entry here, then a toolbar is constructed using
# the specified wrapper bean
weka.core.converters.Loader=weka.gui.beans.Loader
weka.classifiers.Classifier=weka.gui.beans.Classifier
weka.filters.Filter=weka.gui.beans.Filter
# weka.clusterers.Clusterer=weka.gui.beans.Clusterer
# weka.attributeSelection.ASEvaluation=weka.gui.beans.AttributeSelector

# toolbar naming aliases for weka algorithm classes
weka.core.converters.Loader.alias=DataSources
weka.classifiers.Classifier.alias=Classifiers
weka.filters.Filter.alias=Filters