/**
* @param correctLabel The correct label
* @param classifiedResult The classified result
* @return whether the instance was correct or not
*/
public boolean addInstance(String correctLabel, ClassifierResult classifiedResult) {
boolean result = correctLabel.equals(classifiedResult.getLabel());
if (result) {
correctlyClassified++;
} else {
incorrectlyClassified++;
}
confusionMatrix.addInstance(correctLabel, classifiedResult);
if (classifiedResult.getLogLikelihood() != Double.MAX_VALUE) {
summarizer.add(classifiedResult.getLogLikelihood());
hasLL = true;
}
return result;
}
/**
* Emit the result from a sub process wrapper back up to whoever called us
*
* @param res The classifier result.
*/
@Override
protected void _processResults(ClassifierResult res) {
System.out.print(
"SubProcessWrapper: Time(" + res.getTime() + ") Score(" + res.getScore() + ")");
String outputFilePrefix = mProperties.getProperty("modelOutputFilePrefix", null);
if (outputFilePrefix != null) {
try {
if (res.getAttributeSelection() != null) {
weka.core.SerializationHelper.write(
outputFilePrefix + ".attributeselection", res.getAttributeSelection());
} else {
File oldFile = new File(outputFilePrefix + ".attributeselection");
if (oldFile.exists()) oldFile.delete();
}
weka.core.SerializationHelper.write(outputFilePrefix + ".model", res.getClassifier());
} catch (Exception e) {
throw new RuntimeException(e);
}
}
}
