private void btnmodelEvaluation_Click(object sender, System.EventArgs e)
{
var ret = EvaluateResults();
if (EvaluateResults != null && ret != null)
{
//
if (Parameters.OutputType == BasicTypes.ColumnType.Numeric)
{
RModelEvaluation dlg = new RModelEvaluation();
dlg.Evaluate(ret["obs_train"].Select(x => (double)x).ToArray(), ret["prd_train"].Select(x => (double)x).ToArray(),
ret.ContainsKey("obs_test") ? ret["obs_test"].Select(x => (double)x).ToArray() : null,
ret.ContainsKey("prd_test") ? ret["prd_test"].Select(x => (double)x).ToArray() : null);
dlg.ShowDialog();
}
else if (Parameters.OutputType == BasicTypes.ColumnType.Binary || (ret.ContainsKey("Classes") && ret["Classes"].Count() == 2))
{
BModelEvaluation dlg = new BModelEvaluation();
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(),
ret.ContainsKey("obs_test") ? ret["obs_test"].Select(x => (double)x).ToArray() : null,
ret.ContainsKey("prd_test") ? ret["prd_test"].Select(x => (double)x).ToArray() : null);
dlg.ShowDialog();
}
else
{
MModelEvaluation dlg = new MModelEvaluation();
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(),
ret.ContainsKey("obs_test") ? ret["obs_test"].Select(x => (double)x).ToArray() : null,
ret.ContainsKey("prd_test") ? ret["prd_test"].Select(x => (double)x).ToArray() : null);
dlg.ShowDialog();
}
}
else
{
MessageBox.Show("Evaluation process is not initialized.");
}
}
private void CMatric_Click(object sender, RoutedEventArgs e)
{
if (!(this.DataContext is Models.ModelPerformance))
{
return;
}
var modelPerf = (Models.ModelPerformance) this.DataContext;
var ret = ((Models.ModelPerformance) this.DataContext).PerformanceData;
MModelEvaluation dlg = new MModelEvaluation();
dlg.Text = $"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(),
null, null);
dlg.ShowDialog();
}
private void CMatric_Click(object sender, RoutedEventArgs e)
{
try
{
if (!(this.DataContext is Models.ModelPerformance))
{
return;
}
var modelPerf = (Models.ModelPerformance) this.DataContext;
var ret = ((Models.ModelPerformance) this.DataContext).PerformanceData;
//no validation or
if (ret == null)
{
throw new Exception("The dataset is empty!");
}
MModelEvaluation dlg = new MModelEvaluation();
dlg.Text = $"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(),
null, null);
dlg.ShowDialog();
}
catch (Exception ex)
{
var ac = App.Current.MainWindow.DataContext as AppController;
if (ac != null)
{
ac.ReportException(ex);
}
}
}
private void button7_Click(object sender, EventArgs e)
{
MModelEvaluation dlg = new MModelEvaluation();
double[] y1 = new double[13] {
0, 1, 2, 1, 2, 0, 1, 0, 2, 2, 2, 0, 2
};
double[] y2 = new double[13] {
1, 2, 0, 1, 2, 0, 1, 0, 2, 1, 2, 0, 2
};
double[] y11 = new double[60] {
0, 0, 1, 1, 0, 2, 1, 0, 2, 1, 0, 0, 1, 0, 0, 1, 0, 0, 2, 2, 1, 1, 0, 1, 2, 2, 1, 1, 0, 0, 1, 1, 2, 1, 0, 1, 2, 0, 1, 0, 0, 1, 0, 0, 1, 0, 0, 1, 2, 0, 2, 0, 2, 2, 0, 2, 2, 0, 2, 2
};
double[] y21 = new double[60] {
0, 0, 1, 1, 0, 2, 1, 0, 2, 1, 0, 0, 1, 0, 0, 1, 0, 0, 2, 2, 1, 1, 0, 1, 2, 2, 1, 1, 0, 0, 2, 1, 2, 1, 0, 1, 2, 0, 1, 0, 0, 1, 0, 0, 1, 0, 0, 1, 2, 0, 2, 0, 2, 2, 0, 2, 2, 0, 2, 2
};
dlg.loadClasses(new string[] { "C1", "C2", "C3" });
dlg.loadData(y1, y2, null, null);
dlg.ShowDialog();
}
