private void PrintClassifierInfoScores() { WekaUtils.Instance.WriteLog(System.Environment.NewLine); WekaUtils.Instance.WriteLog("Print detail data."); for (int k = 0; k < m_classifierInfoIdxs.GetLength(0); ++k) { for (int h = 0; h < m_classifierInfoIdxs.GetLength(3); ++h) { WekaUtils.Instance.WriteLog(string.Format("DealType = {0}, Hour = {1}", Parameters.AllDealTypes[k], h)); for (int i = 0; i < m_classifierInfoIdxs.GetLength(1); ++i) { for (int j = 0; j < m_classifierInfoIdxs.GetLength(2); ++j) { WekaUtils.Instance.WriteLog(WekaUtils.GetCommaString(m_totalScores[k, i, j, h].ToString(Parameters.DoubleFormatString)), false); } WekaUtils.Instance.WriteLog(System.Environment.NewLine, false); } if (!TestParameters.EnablePerhourTrain) { break; } } } if (TestParameters.EnablePerhourTrain) { WekaUtils.Instance.WriteLog("Print data accord hour."); double[, ,] d = new double[m_classifierInfoIdxs.GetLength(0), m_classifierInfoIdxs.GetLength(1), m_classifierInfoIdxs.GetLength(2)]; IterateClassifierInfos((k, i, j, h) => { d[k, i, j] += m_totalScores[k, i, j, h]; }); for (int k = 0; k < m_classifierInfoIdxs.GetLength(0); ++k) { WekaUtils.Instance.WriteLog(string.Format("DealType = {0}", Parameters.AllDealTypes[k])); for (int i = 0; i < m_classifierInfoIdxs.GetLength(1); ++i) { for (int j = 0; j < m_classifierInfoIdxs.GetLength(2); ++j) { WekaUtils.Instance.WriteLog(WekaUtils.GetCommaString(d[k, i, j].ToString(Parameters.DoubleFormatString)), false); } WekaUtils.Instance.WriteLog(System.Environment.NewLine, false); } } } { WekaUtils.Instance.WriteLog("Print data accord tp."); double[, ,] d = new double[m_classifierInfoIdxs.GetLength(0), m_classifierInfoIdxs.GetLength(2), m_classifierInfoIdxs.GetLength(3)]; IterateClassifierInfos((k, i, j, h) => { d[k, j, h] += m_totalScores[k, i, j, h]; }); for (int k = 0; k < m_classifierInfoIdxs.GetLength(0); ++k) { WekaUtils.Instance.WriteLog(string.Format("DealType = {0}", Parameters.AllDealTypes[k])); for (int h = 0; h < m_classifierInfoIdxs.GetLength(3); ++h) { for (int j = 0; j < m_classifierInfoIdxs.GetLength(2); ++j) { WekaUtils.Instance.WriteLog(WekaUtils.GetCommaString(d[k, j, h].ToString(Parameters.DoubleFormatString)), false); } WekaUtils.Instance.WriteLog(System.Environment.NewLine, false); if (!TestParameters.EnablePerhourTrain) { break; } } } } { WekaUtils.Instance.WriteLog("Print data accord sl."); double[, ,] d = new double[m_classifierInfoIdxs.GetLength(0), m_classifierInfoIdxs.GetLength(1), m_classifierInfoIdxs.GetLength(3)]; IterateClassifierInfos((k, i, j, h) => { d[k, i, h] += m_totalScores[k, i, j, h]; }); for (int k = 0; k < m_classifierInfoIdxs.GetLength(0); ++k) { WekaUtils.Instance.WriteLog(string.Format("DealType = {0}", Parameters.AllDealTypes[k])); for (int h = 0; h < m_classifierInfoIdxs.GetLength(3); ++h) { for (int i = 0; i < m_classifierInfoIdxs.GetLength(1); ++i) { WekaUtils.Instance.WriteLog(WekaUtils.GetCommaString(d[k, i, h].ToString(Parameters.DoubleFormatString)), false); } WekaUtils.Instance.WriteLog(System.Environment.NewLine, false); if (!TestParameters.EnablePerhourTrain) { break; } } } } }