public static void Gethistoricaldata(double[] testpointsx, List <double[]> userfeedbacks, out double usery)
{
usery = -1;
foreach (var fb in userfeedbacks)
{
var fbx = OnlineGPupdating.GetXfromTraining(OnlineGPupdating.RowtoMatrix(fb));
if (EvaluationForBinaryTree.IsSameImputs(testpointsx, fbx))
{
usery = fb[fb.Length - 1];
break;
}
else
{
usery = -1;
}
}
}
public static void WriteUserFeedback(double[] newdata, string csvaddress)
{
var fxnew = OnlineGPupdating.GetXfromTraining(newdata);
var fynew = newdata[newdata.Length - 1];
var olddata = ReadUserFeedback(csvaddress);
int deletindex = 0;
bool needtodelete = false;
for (int i = 0; i < olddata.Count; i++)
{
var f = olddata[i];
var fxold = OnlineGPupdating.GetXfromTraining(f);
if (EvaluationForBinaryTree.IsSameImputs(fxold, OnlineGPupdating.RowtoMatrix(fxnew)))
{
f[f.Length - 1] = fynew;
needtodelete = true;
deletindex = i;
break;
}
}
if (needtodelete)
{
olddata.RemoveAt(deletindex);
}
olddata.Add(newdata);
System.IO.File.Delete(csvaddress);
var csv = new StringBuilder();
foreach (var value in olddata)
{
var str = "";
for (int i = 0; i < value.Length; ++i)
{
str += value[i].ToString();
if (i < value.Length - 1)
{
str += ",";
}
}
csv.AppendLine(str);
}
// csv.AppendLine("Name,age");
File.AppendAllText(csvaddress, csv.ToString());
csv.Clear();
}