/* * This program is free software; you can redistribute it and/or modify * it under the terms of the GNU General Public License as published by * the Free Software Foundation; either version 2 of the License, or * (at your option) any later version. * * This program is distributed in the hope that it will be useful, * but WITHOUT ANY WARRANTY; without even the implied warranty of * MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the * GNU General Public License for more details. * * You should have received a copy of the GNU General Public License * along with this program; if not, write to the Free Software * Foundation, Inc., 675 Mass Ave, Cambridge, MA 02139, USA. */ /* * BatchClassifierEvent.java * Copyright (C) 2002 University of Waikato, Hamilton, New Zealand * */ package weka.gui.beans; import weka.classifiers.Classifier; import weka.classifiers.AbstractClassifier; import java.util.EventObject; /** * Class encapsulating a built classifier and a batch of instances to * test on. * * @author Mark Hall * @version $Revision: 5928 $ * @since 1.0 * @see EventObject */ public class BatchClassifierEvent extends EventObject { /** for serialization */ private static final long serialVersionUID = 878097199815991084L; /** * The classifier */ protected Classifier m_classifier; // protected Instances m_trainingSet; /** * Instances that can be used for testing the classifier */ // protected Instances m_testSet; protected DataSetEvent m_testSet; /** * Instances that were used to train the classifier (may be null if not available) */ protected DataSetEvent m_trainSet; /** * The run number that this classifier was generated for */ protected int m_runNumber = 1; /** * The maximum number of runs */ protected int m_maxRunNumber = 1; /** * The set number for the test set */ protected int m_setNumber; /** * The last set number for this series */ protected int m_maxSetNumber; /** * An identifier that can be used to group all related runs/sets * together. */ protected long m_groupIdentifier = Long.MAX_VALUE; /** * Creates a new BatchClassifierEvent instance. * * @param source the source object * @param scheme a Classifier * @param trsI the training instances used to train the classifier * @param tstI the test instances * @param setNum the set number of the test instances * @param maxSetNum the last set number in the series */ public BatchClassifierEvent(Object source, Classifier scheme, DataSetEvent trsI, DataSetEvent tstI, int setNum, int maxSetNum) { super(source); // m_trainingSet = trnI; m_classifier = scheme; m_testSet = tstI; m_trainSet = trsI; m_setNumber = setNum; m_maxSetNumber = maxSetNum; } /** * Creates a new BatchClassifierEvent instance. * * @param source the source object * @param scheme a Classifier * @param trsI the training instances used to train the classifier * @param tstI the test instances * @param runNum the run number * @param maxRunNum the maximum run number * @param setNum the set number of the test instances * @param maxSetNum the last set number in the series */ public BatchClassifierEvent(Object source, Classifier scheme, DataSetEvent trsI, DataSetEvent tstI, int runNum, int maxRunNum, int setNum, int maxSetNum) { this(source, scheme, trsI, tstI, setNum, maxSetNum); m_runNumber = runNum; m_maxRunNumber = maxRunNum; } // /** // * Get the training instances // * // * @return the training instances // */ // public Instances getTrainingSet() { // return m_trainingSet; // } /** * Get the classifier * * @return the classifier */ public Classifier getClassifier() { return m_classifier; } /** * Set the classifier * * @param classifier the classifier */ public void setClassifier(Classifier classifier) { m_classifier = classifier; } /** * Set the test set * * @param tse the test set */ public void setTestSet(DataSetEvent tse) { m_testSet = tse; } /** * Get the test set * * @return the test set */ public DataSetEvent getTestSet() { return m_testSet; } /** * Set the training set * * @param tse the training set */ public void setTrainSet(DataSetEvent tse) { m_trainSet = tse; } /** * Get the train set * * @return the training set */ public DataSetEvent getTrainSet() { return m_trainSet; } /** * Get the run number. * * @return the run number */ public int getRunNumber() { return m_runNumber; } /** * Get the maximum run number * * @return the maximum run number */ public int getMaxRunNumber() { return m_maxRunNumber; } /** * Get the set number (ie which fold this is) * * @return the set number for the training and testing data sets * encapsulated in this event */ public int getSetNumber() { return m_setNumber; } /** * Get the maximum set number (ie the total number of training * and testing sets in the series). * * @return the maximum set number */ public int getMaxSetNumber() { return m_maxSetNumber; } public void setGroupIdentifier(long identifier) { m_groupIdentifier = identifier; } public long getGroupIdentifier() { return m_groupIdentifier; } }