try { result = this.classifier.classifyInstance(instances.firstInstance()); distribution = this.classifier.distributionForInstance(instances.firstInstance()); instances.firstInstance().setClassValue(result); } catch (Exception e) {
newInst[1] = Utils.missingValue(); return m_classifiers[0][1].m_logistic .distributionForInstance(new DenseInstance(1, newInst)); newInst[1] = Utils.missingValue(); r[i][j] = m_classifiers[i][j].m_logistic .distributionForInstance(new DenseInstance(1, newInst))[0]; n[i][j] = m_classifiers[i][j].m_sumOfWeights;