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;
}
}
}
}
}