static EvaluatedData Evaluate(Trained[,] trained, TrainingData refineData, int have)
{
if (refineData.level != have) return null;
EvaluatedData e = new EvaluatedData() { level = refineData.level, Label = refineData.Label, DocCount = refineData.DocCount };
for (int stop = 0; stop <= have; stop++)
{
if (trained[stop, have] == null) e.Score[stop] = float.MaxValue;
else e.Score[stop] = trained[stop, have].predictor.Predict(new TrainingData(refineData, stop)).Score;
}
return e;
}
public TrainingData(TrainingData b, int level)
{
this.Label = b.Label;
this.DocCount = b.DocCount;
this.l1_0 = b.l1_0;
this.l2_0 = b.l2_0;
this.l1_1 = b.l1_1;
if (level >= 1)
{
this.l2_1 = b.l2_1;
this.dl2_1 = b.dl2_1;
}
this.l1_2 = b.l1_2;
if (level >= 2)
{
this.l2_2 = b.l2_2;
this.dl2_2 = b.dl2_2;
}
this.l1_3 = b.l1_3;
if (level >= 3)
{
this.l2_3 = b.l2_3;
this.dl2_3 = b.dl2_3;
}
this.l1_4 = b.l1_4;
if (level >= 4)
{
this.l2_4 = b.l2_4;
this.dl2_4 = b.dl2_4;
}
this.l1_5 = b.l1_5;
if (level >= 5)
{
this.l2_5 = b.l2_5;
this.dl2_5 = b.dl2_5;
}
}
static void ReadRawData()
{
using (TextReader tr = new StreamReader(@"raas.csv"))
{
string line;
int cnt = 0;
while (null != (line = tr.ReadLine()))
{
string[] parts = line.Split(',');
if (parts.Length >= 3)
{
cnt++;
TrainingData d = new TrainingData();
d.Label = float.Parse(parts[0]);
d.DocCount = float.Parse(parts[1]);
d.l1_0 = float.Parse(parts[2]);
d.l2_0 = float.Parse(parts[3]);
d.level = 0;
if (parts.Length >= 6)
{
d.l1_1 = float.Parse(parts[4]);
d.dl1_1 = d.l1_1 - d.l1_0;
d.l2_1 = float.Parse(parts[5]);
d.dl2_1 = d.l2_1 - d.l2_0;
d.level = 1;
}
else
{
d.l1_1 = -5;
}
if (parts.Length >= 8)
{
d.l1_2 = float.Parse(parts[TrainingData.Levels]);
d.dl1_2 = d.l1_2 - d.l1_1;
d.l2_2 = float.Parse(parts[7]);
d.dl2_2 = d.l2_2 - d.l2_1;
d.level = 2;
}
else
{
d.l1_2 = -5;
}
if (parts.Length >= 10)
{
d.l1_3 = float.Parse(parts[8]);
d.dl1_3 = d.l1_3 - d.l1_2;
d.l2_3 = float.Parse(parts[9]);
d.dl2_3 = d.l2_3 - d.l2_2;
d.level = 3;
}
else
{
d.l1_3 = -5;
}
if (parts.Length >= 12)
{
d.l1_4 = float.Parse(parts[10]);
d.dl1_4 = d.l1_4 - d.l1_3;
d.l2_4 = float.Parse(parts[11]);
d.dl2_4 = d.l2_4 - d.l2_3;
d.level = 4;
}
else
{
d.l1_4 = -5;
}
if (parts.Length >= 14)
{
d.l1_5 = float.Parse(parts[12]);
d.dl1_5 = d.l1_5 - d.l1_4;
d.l2_5 = float.Parse(parts[13]);
d.dl2_5 = d.l2_5 - d.l2_4;
d.level = 5;
}
else
{
d.l1_5 = -5;
}
if (cnt % 3 == 0)
TrainingData0.Add(d);
else if (cnt % 3 == 1)
TrainingData1.Add(d);
else if (cnt % 3 == 2)
TrainingData2.Add(d);
}
}
}
}
