Uses of Interface
weka.gui.beans.TrainingSetListener

Packages that use TrainingSetListener
weka.gui.beans   
 

Uses of TrainingSetListener in weka.gui.beans
 

Classes in weka.gui.beans that implement TrainingSetListener
 class AbstractDataSink
          Abstract class for objects that store instances to some destination.
 class Appender
          A bean that appends multiple incoming data connections into a single data set.
 class Associator
          Bean that wraps around weka.associations.
 class AttributeSummarizer
          Bean that encapsulates displays bar graph summaries for attributes in a data set.
 class ClassAssigner
          Bean that assigns a class attribute to a data set.
 class Classifier
          Bean that wraps around weka.classifiers
 class Clusterer
          Bean that wraps around weka.clusterers
 class CrossValidationFoldMaker
          Bean for splitting instances into training ant test sets according to a cross validation
 class DataVisualizer
          Bean that encapsulates weka.gui.visualize.VisualizePanel
 class Filter
          A wrapper bean for Weka filters
 class Saver
          Saves data sets using weka.core.converter classes
 class ScatterPlotMatrix
          Bean that encapsulates weka.gui.visualize.MatrixPanel for displaying a scatter plot matrix.
 class Sorter
          Sorts incoming instances in ascending or descending order according to the values of user specified attributes.
 class SubstringLabeler
          A bean that finds matches in string attribute values (using either substring or regular expression matches) and labels the instance (sets the value of a new attribute) according to the supplied label for the matching rule.
 class TextViewer
          Bean that collects and displays pieces of text
 class TrainTestSplitMaker
          Bean that accepts data sets, training sets, test sets and produces both a training and test set by randomly spliting the data
 

Methods in weka.gui.beans with parameters of type TrainingSetListener
 void AbstractTrainingSetProducer.addTrainingSetListener(TrainingSetListener tsl)
          Add a training set listener
 void TrainingSetProducer.addTrainingSetListener(TrainingSetListener tsl)
          Add a training set listener
 void AbstractTrainAndTestSetProducer.addTrainingSetListener(TrainingSetListener tsl)
          Add a training set listener
 void PredictionAppender.addTrainingSetListener(TrainingSetListener tsl)
          Add a training set listener
 void ClassAssigner.addTrainingSetListener(TrainingSetListener tsl)
           
 void Filter.addTrainingSetListener(TrainingSetListener tsl)
          Add a training set listener
 void AbstractTrainingSetProducer.removeTrainingSetListener(TrainingSetListener tsl)
          Remove a training set listener
 void TrainingSetProducer.removeTrainingSetListener(TrainingSetListener tsl)
          Remove a training set listener
 void AbstractTrainAndTestSetProducer.removeTrainingSetListener(TrainingSetListener tsl)
          Remove a training set listener
 void PredictionAppender.removeTrainingSetListener(TrainingSetListener tsl)
          Remove a training set listener
 void ClassAssigner.removeTrainingSetListener(TrainingSetListener tsl)
           
 void Filter.removeTrainingSetListener(TrainingSetListener tsl)
          Remove a training set listener
 



Copyright © 2012 University of Waikato, Hamilton, NZ. All Rights Reserved.