@Override
public PredictedLabels predictForTest(
Example vector, Vector W, String realClass, ClassifierData classifierData, int returnAll) {
if (returnAll != Consts.ERROR_NUMBER) {
try {
PredictedLabels tree = new PredictedLabels();
// validation
if (vector.sizeOfVector <= 0) {
Logger.error(ErrorConstants.PHI_VECTOR_DATA);
return null;
}
for (int i = 0; i < numOfClass; i++) {
Example phiData =
classifierData.phi.convert(vector, String.valueOf(i), classifierData.kernel);
// multiple the vectors
double tmp = MathHelpers.multipleVectors(W, phiData.getFeatures());
// get the max value for the max classification
tree.put(String.valueOf(i), tmp);
}
MapValueComparatorDescending vc = new MapValueComparatorDescending(tree);
PredictedLabels result = new PredictedLabels(vc);
result.putAll(tree);
return result;
} catch (Exception e) {
e.printStackTrace();
return null;
}
} else return predictForTrain(vector, W, realClass, classifierData, 0);
}
