public double classifyInstance(Instance sample) throws Exception {
// transform instance to sequence
MonoDoubleItemSet[] sequence = new MonoDoubleItemSet[sample.numAttributes() - 1];
int shift = (sample.classIndex() == 0) ? 1 : 0;
for (int t = 0; t < sequence.length; t++) {
sequence[t] = new MonoDoubleItemSet(sample.value(t + shift));
}
Sequence seq = new Sequence(sequence);
double minD = Double.MAX_VALUE;
String classValue = null;
for (ClassedSequence s : prototypes) {
double tmpD = seq.distance(s.sequence);
if (tmpD < minD) {
minD = tmpD;
classValue = s.classValue;
}
}
// System.out.println(prototypes.size());
return sample.classAttribute().indexOfValue(classValue);
}
/**
* test on one sample
*
* @param sample
* @return p(y|sample) forall y
* @throws Exception
*/
public double classifyInstance(Instance sample) throws Exception {
// transform instance to sequence
MonoDoubleItemSet[] sequence = new MonoDoubleItemSet[sample.numAttributes() - 1];
int shift = (sample.classIndex() == 0) ? 1 : 0;
for (int t = 0; t < sequence.length; t++) {
sequence[t] = new MonoDoubleItemSet(sample.value(t + shift));
}
Sequence seq = new Sequence(sequence);
// for each class
String classValue = null;
double maxProb = 0.0;
double[] pr = new double[classedData.keySet().size()];
for (String clas : classedData.keySet()) {
int c = trainingData.classAttribute().indexOfValue(clas);
double prob = 0.0;
for (int k = 0; k < centroidsPerClass[c].length; k++) {
// compute P(Q|k_c)
if (sigmasPerClass[c][k] == Double.NaN || sigmasPerClass[c][k] == 0) {
System.err.println("sigma=NAN||sigma=0");
continue;
}
double dist = seq.distanceEuc(centroidsPerClass[c][k]);
double p = computeProbaForQueryAndCluster(sigmasPerClass[c][k], dist);
prob += p / centroidsPerClass[c].length;
// prob += p*prior[c][k];
if (p > maxProb) {
maxProb = p;
classValue = clas;
}
}
// if (prob > maxProb) {
// maxProb = prob;
// classValue = clas;
// }
}
// System.out.println(Arrays.toString(pr));
// System.out.println(classValue);
return sample.classAttribute().indexOfValue(classValue);
}
