private void CMatric_Click(object sender, RoutedEventArgs e)
{
if (!(this.DataContext is ModelPerformance))
{
return;
}
var modelPerf = (ModelPerformance)this.DataContext;
var ret = ((ModelPerformance)this.DataContext).PerformanceData;
//MModelEvaluation dlg = new MModelEvaluation();
MClassEvalWnd dlg = new MClassEvalWnd();
dlg.Title = $"Confusion matrix for {modelPerf.DatSetName}";
var cl = ret["Classes"].Select(x => x.ToString()).ToArray();
dlg.loadClasses(cl);
dlg.loadData(ret["obs_train"].Select(x => (double)x).ToArray(), ret["prd_train"].Select(x => (double)x).ToArray());
dlg.ShowDialog();
}
private void CMatric_Click(object sender, RoutedEventArgs e)
{
try
{
if (!(this.DataContext is ModelPerformance))
{
return;
}
var modelPerf = (ModelPerformance)this.DataContext;
var ret = ((ModelPerformance)this.DataContext).PerformanceData;
//no validation or
if (ret == null)
{
throw new Exception("The dataset is empty!");
}
//MModelEvaluation dlg = new MModelEvaluation();
MClassEvalWnd dlg = new MClassEvalWnd();
dlg.Title = $"Confusion matrix for {modelPerf.DatSetName}.";
var cl = ret["Classes"].Select(x => x.ToString()).ToArray();
dlg.loadClasses(cl);
dlg.loadData(ret["obs_train"].Select(x => (double)x).ToArray(), ret["prd_train"].Select(x => (double)x).ToArray());
dlg.ShowDialog();
}
catch (Exception ex)
{
var ac = App.Current.MainWindow.DataContext as AppController;
if (ac != null)
{
ac.ReportException(ex);
}
}
}
