@Override
public double[] getEvaluations(Instances testSet) {
final double[] results = new double[12];
Arrays.fill(results, 0);
final VotingClassificationStrategy str =
rep
.new VotingClassificationStrategy(
(float) SettingsLoader.getNumericSetting("datasetLabelCardinality", 1));
rep.setClassificationStrategy(str);
str.proportionalCutCalibration(this.instances, rulePopulation);
final AccuracyRecallEvaluator accEval =
new AccuracyRecallEvaluator(testSet, false, this, AccuracyRecallEvaluator.TYPE_ACCURACY);
results[0] = accEval.getMetric(this);
final AccuracyRecallEvaluator recEval =
new AccuracyRecallEvaluator(testSet, false, this, AccuracyRecallEvaluator.TYPE_RECALL);
results[1] = recEval.getMetric(this);
final HammingLossEvaluator hamEval =
new HammingLossEvaluator(testSet, false, numberOfLabels, this);
results[2] = hamEval.getMetric(this);
final ExactMatchEvalutor testEval = new ExactMatchEvalutor(testSet, false, this);
results[3] = testEval.getMetric(this);
final AccuracyRecallEvaluator selfAcc =
new AccuracyRecallEvaluator(instances, false, this, AccuracyRecallEvaluator.TYPE_ACCURACY);
final InternalValidation ival = new InternalValidation(this, str, selfAcc);
ival.calibrate(15);
results[4] = accEval.getMetric(this);
results[5] = recEval.getMetric(this);
results[6] = hamEval.getMetric(this);
results[7] = testEval.getMetric(this);
rep.setClassificationStrategy(
new StrictMultiLabelRepresentation.BestFitnessClassificationStrategy());
results[8] = accEval.getMetric(this);
results[9] = recEval.getMetric(this);
results[10] = hamEval.getMetric(this);
results[11] = testEval.getMetric(this);
return results;
}
@Override
public double[] getEvaluations(Instances testSet) {
final double[] results = new double[12];
Arrays.fill(results, 0);
proportionalCutCalibration();
final AccuracyRecallEvaluator accEval =
new AccuracyRecallEvaluator(testSet, false, this, AccuracyRecallEvaluator.TYPE_ACCURACY);
results[0] = accEval.getMetric(this);
final AccuracyRecallEvaluator recEval =
new AccuracyRecallEvaluator(testSet, false, this, AccuracyRecallEvaluator.TYPE_RECALL);
results[1] = recEval.getMetric(this);
final HammingLossEvaluator hamEval =
new HammingLossEvaluator(testSet, false, numberOfLabels, this);
results[2] = hamEval.getMetric(this);
final ExactMatchEvalutor testEval = new ExactMatchEvalutor(testSet, false, this);
results[3] = testEval.getMetric(this);
final AccuracyRecallEvaluator selfAcc =
new AccuracyRecallEvaluator(instances, false, this, AccuracyRecallEvaluator.TYPE_ACCURACY);
internalValidationCalibration(selfAcc);
results[4] = accEval.getMetric(this);
results[5] = recEval.getMetric(this);
results[6] = hamEval.getMetric(this);
results[7] = testEval.getMetric(this);
useBestClassificationMode();
results[8] = accEval.getMetric(this);
results[9] = recEval.getMetric(this);
results[10] = hamEval.getMetric(this);
results[11] = testEval.getMetric(this);
return results;
}
