Java tutorial
/* * To change this license header, choose License Headers in Project Properties. * To change this template file, choose Tools | Templates * and open the template in the editor. */ package distributions; import mathematik.Discretisierer; import weka.core.Attribute; import weka.core.Instance; import weka.core.Instances; /** * * @author Thierry */ public class ClassdistributionNumeric extends Discretisierer implements Distribution { private double[] probs; int classID; Attribute at; int kID; Instances inst; double[] attwerten; /** * * @param inst * @param classID * @param kID */ public ClassdistributionNumeric(Instances inst, int classID, int kID) { this.inst = new Instances(inst); this.classID = classID; this.kID = kID; attwerten = new double[inst.numInstances()]; for (int k = 0; k < inst.numInstances(); k++) { attwerten[k] = inst.instance(k).value(kID); } attwerten = super.EliminiereDopelt(attwerten); /*for(int j=0;j<attwerten.length;j++){ for (int i = 0; i < inst.numInstances(); i++) { attwerten[(int) inst.instance(i).value(kID)] = inst.instance(i).value(kID); } }*/ probs = new double[attwerten.length]; } /** * */ @Override public void calculateProbs() { for (int i = 0; i < inst.numInstances(); i++) { for (int k = 0; k < attwerten.length; k++) { if (inst.instance(i).classValue() == classID) { if ((inst.instance(i).value(kID)) == (attwerten[k])) { probs[k]++; } } } } int count = 0; for (int j = 0; j < inst.numInstances(); j++) { if (inst.instance(j).classValue() == classID) { count++; } } for (int i = 0; i < probs.length; i++) { if (count != 0) ; probs[i] /= count; } } /** * * @param <Object> * @param insta * @return */ @Override public <Object> double getProbs(Object insta) { calculateProbs(); int a = (int) ((Instance) insta).value(kID); if (a < probs.length) { return probs[a]; } return 0; } @Override public double[][] numberOfcounts() { throw new UnsupportedOperationException("Not supported yet."); //To change body of generated methods, choose Tools | Templates. } }