m_evaluation.evaluateModelOnceAndRecordPrediction(normDist, instance); } else { m_evaluation.evaluateModelOnce(normDist, instance); double[] temp = new double[1]; temp[0] = m_majority; m_evaluation.evaluateModelOnce(temp, instance); return m_majority; } else { double[] temp = new double[1]; temp[0] = normDist[0] / normDist[1]; m_evaluation.evaluateModelOnce(temp, instance); return temp[0];
m_evaluation.evaluateModelOnceAndRecordPrediction(normDist, instance); } else { m_evaluation.evaluateModelOnce(normDist, instance); double[] temp = new double[1]; temp[0] = m_majority; m_evaluation.evaluateModelOnce(temp, instance); return m_majority; } else { double[] temp = new double[1]; temp[0] = normDist[0] / normDist[1]; m_evaluation.evaluateModelOnce(temp, instance); return temp[0];
m_evaluation.evaluateModelOnceAndRecordPrediction(normDist, instance); } else { m_evaluation.evaluateModelOnce(normDist, instance);
m_evaluation.evaluateModelOnceAndRecordPrediction(normDist, inst); } else { m_evaluation.evaluateModelOnce(normDist, inst); double[] temp = new double[1]; temp[0] = m_majority; m_evaluation.evaluateModelOnce(temp, inst); } else { double[] temp = new double[1]; temp[0] = normDist[0] / normDist[1]; m_evaluation.evaluateModelOnce(temp, inst);
m_evaluation.evaluateModelOnceAndRecordPrediction(normDist, inst); } else { m_evaluation.evaluateModelOnce(normDist, inst); double[] temp = new double[1]; temp[0] = m_majority; m_evaluation.evaluateModelOnce(temp, inst); } else { double[] temp = new double[1]; temp[0] = normDist[0] / normDist[1]; m_evaluation.evaluateModelOnce(temp, inst);
m_evaluation.evaluateModelOnceAndRecordPrediction(normDist, inst); } else { m_evaluation.evaluateModelOnce(normDist, inst); double[] temp = new double[1]; temp[0] = m_majority; m_evaluation.evaluateModelOnce(temp, inst); } else { double[] temp = new double[1]; temp[0] = normDist[0] / normDist[1]; m_evaluation.evaluateModelOnce(temp, inst);
m_eval.evaluateModelOnce(dist, inst); m_windowEval.evaluateModelOnce(dist, inst); m_window.addFirst(inst); m_windowedPreds.addFirst(dist); m_windowEval.evaluateModelOnce(oldDist, oldest); oldest.setWeight(-oldest.weight());
m_eval.evaluateModelOnce(dist, inst); m_windowEval.evaluateModelOnce(dist, inst); m_window.addFirst(inst); m_windowedPreds.addFirst(dist); m_windowEval.evaluateModelOnce(oldDist, oldest); oldest.setWeight(-oldest.weight());