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); } } }