Uses of Interface
weka.gui.beans.BeanCommon

Packages that use BeanCommon
weka.gui.beans   
 

Uses of BeanCommon in weka.gui.beans
 

Classes in weka.gui.beans that implement BeanCommon
 class AbstractDataSink
          Abstract class for objects that store instances to some destination.
 class AbstractEvaluator
          Abstract class for objects that can provide some kind of evaluation for classifier, clusterers etc.
 class AbstractTestSetProducer
          Abstract class for TestSetProducers that contains default implementations of add/remove listener methods and defualt visual representation.
 class AbstractTrainAndTestSetProducer
          Abstract base class for TrainAndTestSetProducers that contains default implementations of add/remove listener methods and defualt visual representation.
 class AbstractTrainingSetProducer
          Abstract class for TrainingSetProducers that contains default implementations of add/remove listener methods and default visual representation
 class ClassAssigner
          Describe class ClassAssigner here.
 class Classifier
          Bean that wraps around weka.classifiers
 class ClassifierPerformanceEvaluator
          A bean that evaluates the performance of batch trained classifiers
 class CrossValidationFoldMaker
          Bean for splitting instances into training ant test sets according to a cross validation
 class CSVDataSink
          Data sink that stores instances to a comma separated values (CSV) text file
 class Filter
          A wrapper bean for Weka filters
 class IncrementalClassifierEvaluator
          Bean that evaluates incremental classifiers
 class PredictionAppender
          Bean that can can accept batch or incremental classifier events and produce dataset or instance events which contain instances with predictions appended.
 class StripChart
          Bean that can display a horizontally scrolling strip chart.
 class TestSetMaker
          Bean that accepts data sets and produces test sets
 class TrainingSetMaker
          Bean that accepts a data sets and produces a training set
 class TrainTestSplitMaker
          Bean that accepts data sets, training sets, test sets and produces both a training and test set by randomly spliting the data