public HttpResponseMessage Post(EvaluationDTO evaluation)
{
evaluation = model.Add(evaluation);
HttpResponseMessage response = Request.CreateResponse <EvaluationDTO>(HttpStatusCode.Created, evaluation);
response.Headers.Location = new Uri(Request.RequestUri + apiUrl + evaluation.Id.ToString());
return(response);
}
public void AnalystValidationData(List <train> validation_set)
{
eva = new Evaluation();
int length = validation_set.Count;
for (int i = 0; i < length; ++i)
{
string output = "";
data tmp = new data(validation_set[i].d, validation_set[i].msg1, validation_set[i].msg2);
List <bool> result = ClassifierList(tmp);
eva.Add(validation_set[i].flag, result);
#region log
output += i + " th data: flag = " + validation_set[i].flag + " : ";
for (int j = 0; j < result.Count; ++j)
{
output += result[j] + ",";
}
output += "\n";
log(output);
#endregion
}
eva.Analyst();
#region log
String title = "classifier";
int metrics_len = metrics.Count();
for (int i = 0; i < metrics_len; ++i)
{
title += interval + metrics[i];
}
List <String> msg = eva.Output();
List <String> msg2 = eva.Output2();
int msg_len = msg.Count();
log(title);
for (int i = 0; i < msg_len; ++i)
{
log(msg[i]);
}
#endregion
WriteToFile(filename, title, msg);
WriteToFile(filename2, title, msg2);
}
