smo.setKernel(Kernel.makeCopy(SMO.this.m_kernel)); smo.buildClassifier(train, cl1, cl2, false, -1, -1); Instances test = insts.testCV(numFolds, i);
smo.setKernel(Kernel.makeCopy(SMO.this.m_kernel)); smo.buildClassifier(train, cl1, cl2, false, -1, -1); Instances test = insts.testCV(numFolds, i);
for (int j = i + 1; j < insts.numClasses(); j++) { m_classifiers[i][j] = new BinarySMO(); m_classifiers[i][j].setKernel(Kernel.makeCopy(getKernel())); Instances data = new Instances(insts, insts.numInstances()); for (int k = 0; k < subsets[i].numInstances(); k++) {
for (int j = i + 1; j < insts.numClasses(); j++) { m_classifiers[i][j] = new BinarySMO(); m_classifiers[i][j].setKernel(Kernel.makeCopy(getKernel())); Instances data = new Instances(insts, insts.numInstances()); for (int k = 0; k < subsets[i].numInstances(); k++) {