/**
* builds the necessary CollectiveInstances from the given Instances
*
* @throws Exception if anything goes wrong
*/
@Override
protected void generateSets() throws Exception {
int i;
super.generateSets();
m_CollectiveInstances = new CollectiveInstances();
m_CollectiveInstances.setSeed(getSeed());
m_CollectiveInstances.setFlipper(m_Flipper);
m_TrainsetNew = new Instances(m_Trainset);
for (i = 0; i < m_Testset.numInstances(); i++) m_TrainsetNew.add(m_Testset.instance(i));
m_FlipHistory = new FlipHistory(m_TrainsetNew);
}
/**
* calculates the RMS for test and train set
*
* @throws Exception if something goes wrong
*/
protected void calculateRMS() throws Exception {
double[] rms;
rms =
CollectiveInstances.calculateRMS(
this.getClassifier(),
m_Trainset,
new Instances(m_TrainsetNew, m_Trainset.numInstances(), m_Testset.numInstances()),
m_TestsetOriginal);
m_RMS = rms[0];
m_RMSTrain = rms[1];
m_RMSTest = rms[2];
m_RMSTestOriginal = rms[3];
if (getVerbose())
System.out.println(
"\nRMSTest: "
+ m_RMSTest
+ ", "
+ "RMSTestOrig: "
+ m_RMSTestOriginal
+ ", "
+ "RMSTrain: "
+ m_RMSTrain
+ ", "
+ "RMS: "
+ m_RMS);
}
/**
* calculates the accuracy for original test and train set
*
* @throws Exception if something goes wrong
*/
protected void calculateAccuracy() throws Exception {
double[] acc;
acc =
CollectiveInstances.calculateAccuracy(this.getClassifier(), m_Trainset, m_TestsetOriginal);
m_AccTrain = acc[0];
m_AccTestOriginal = acc[1];
if (getVerbose())
System.out.println("\nAccTrain: " + m_AccTrain + ", " + "AccTestOrig: " + m_AccTestOriginal);
}
/**
* flips the labels of the CollectiveInstances
*
* @throws Exception if flipping fails
*/
public void flipLabels() throws Exception {
int from;
int count;
if (getUpdateTraining()) {
from = 0;
count = m_TrainsetNew.numInstances();
} else {
from = m_Trainset.numInstances();
count = m_Testset.numInstances();
}
if (m_EvaluationType == CollectiveInstances.EVAL_HILLCLIMBING)
m_TrainsetNew =
m_CollectiveInstances.flipLabels(
getBestModel().getClassifier(), m_TrainsetNew, from, count, m_FlipHistory);
else
m_TrainsetNew =
m_CollectiveInstances.flipLabels(
this.getClassifier(), m_TrainsetNew, from, count, m_FlipHistory);
}
/**
* returns the percentage of flipped labels
*
* @return the percentage
* @see CollectiveInstances#getFlippedLabels()
*/
protected double getFlippedLabels() {
return m_CollectiveInstances.getFlippedLabels();
}
/**
* initializes the labels of the CollectiveInstances
*
* @throws Exception if initialization fails
*/
public void initializeLabels() throws Exception {
m_TrainsetNew =
m_CollectiveInstances.initializeLabels(
m_Trainset, m_TrainsetNew, m_Trainset.numInstances(), m_Testset.numInstances());
}
