public static ModelParent getTrainedModel(string trainPointsFileName, TrainPointsList trainPoints, Type method)
{
if (method == typeof(ModelParent))
return ModelParent.getModel(trainPoints);
if (method == typeof(LeastSquaresModel_MinMax))
return LeastSquaresModel_MinMax.getModel(trainPointsFileName);
if (method == typeof(LeastSquaresModel))
return LeastSquaresModel.getModel(trainPoints);
if (method == typeof(KNNModel))
return KNNModel.getModel(trainPointsFileName);
return null;
}
public static ModelParent getModel(TrainPointsList list)
{
throw new NotImplementedException();
}
public static new LeastSquaresModel getModel(TrainPointsList trainPoints)
{
{
var ReAn = trainPoints.Points.Select(x => x.ToList());
var Request = ReAn.Select(x => x.GetRange(0, x.Count - 1)).ToList();
var Answer = ReAn.Select(x => x.Last()).ToList();
MetrMath.Model.Build(Request, Answer);
return new LeastSquaresModel(MetrMath.Model.model);
}
}
//TODO: Serialization/Deserialization from toTrainPoints have to move to MetrXML
/// <summary>
///
/// </summary>
/// <param name="sourceFileName">Voted Metrics by experts</param>
/// <param name="targetFileName">Points for train (already calculated metrics as coefficients)</param>
public static void toTrainPoints(string sourceFileName, string targetFileName, Form LearnForm, ProgressBar progressBar)
{
Type[] estimationTypes = { typeof(EstimationOfElement) };
XmlSerializer serializer = new XmlSerializer(typeof(EstimationList), estimationTypes);
var fs = new FileStream(sourceFileName, FileMode.Open);
try
{
var votesList = (EstimationList)serializer.Deserialize(fs);
Solution solution = null;
Compilation compilation = null;
string solutionPath = null;
string projectToPick = null;
//var coefs = new List<List<Int32>>();
var coefs = new TrainPointsList();
var ress = new List<Int32>();
int ttt = Environment.TickCount;
LearnForm.Invoke(new Action(
() =>
{
progressBar.Maximum = votesList.Estimations.Count;
progressBar.Minimum = 0;
progressBar.Value = 0;
}
));
int k = 0;
foreach (var v in votesList.Estimations)
{
int tt = Environment.TickCount;
if (v.Solution != solutionPath || v.Project != projectToPick)
Metr.RoslynAPI.ProjectCompile((solutionPath = v.Solution), (projectToPick = v.Project), out solution, out compilation);
var curClass = compilation.GetTypeByMetadataName(v.FullName);
int tt2 = Environment.TickCount - tt;
LearnForm.Invoke(new Action(
() =>
{
progressBar.Value = k++;
}
));
if (curClass != null)
coefs.AddPoint(
// new TrainPoint(new List<Int32>()
//{
// Metr.MetricCalculator.RS(compilation,curClass),
// Metr.MetricCalculator.DIT(compilation,curClass),
// Metr.MetricCalculator.NOC(solution,compilation,curClass),
// Metr.MetricCalculator.CBO(solution, compilation,curClass),
// v.Estimation
//},
//v.FullName)
TrainPoint.getClassRequestAnswerPoint(solution, compilation, v.FullName, v.Estimation)
);
//ress.Add(v.Estimation);
}
int ttt2 = Environment.TickCount - ttt;
coefs.SerializeTo(targetFileName);
//Type[] estimationTypes2 = { typeof(TrainPoint) };
//XmlSerializer serializer2 = new XmlSerializer(typeof(TrainPointsList), estimationTypes2);
//FileStream fs2 = new FileStream(targetFileName, FileMode.Create);
//serializer2.Serialize(fs2, coefs);
//fs.Close();
//Build(coefs, ress);
//save to new file
}
finally
{
fs.Close();
}
}
