private void StartButton_Click(object sender, RoutedEventArgs e)
{
StartButton.Content = "Restart Classification Process";
StartButton.IsEnabled = false;
SetupTabItem.IsEnabled = false;
//clear all the values from the previous classification
FeaturesListView.ItemsSource = null;
ZipfGraphAreaSeries.ItemsSource = null;
ResultsListView.ItemsSource = null;
OutputTextBox.Text = "";
RootTabControl.SelectedItem = ResultsTabItem;
//setup all the classifier paramters here before starting
KNN_Classifier.Comparer = (IDocumentComparer) SimilarityMeasureComboBox.SelectedItem;
KNN_Classifier.K = Convert.ToInt32(KTextBox.Text);
Perceptron_Classifier.LearningRate = Convert.ToDouble(LearningRateTextBox.Text);
Winnow_Classifier.LearningRate = Convert.ToDouble(LearningRateTextBox.Text);
MinRange = Convert.ToDouble(MinRangeTextBox.Text);
MaxRange = Convert.ToDouble(MaxRangeTextBox.Text);
SelectedClassifier = (Classifier)ClassifierComboBox.SelectedItem;
TrainingDataPath = TrainingDataTextBox.Text;
Write("Started Classification Process: "+DateTime.Now);
Write("Began Sgml Parsing");
SetCurrentTask( "Parsing" );
DocClassifier.ParseAsync(CorpusPath);
}
//classifies the extracted documents
private void Classify( Classifier classifier )
{
this.Classifier = classifier;
foreach (String Key in Documents.Keys)
Classifier.Add((DocumentVector)Documents[Key]);
}
private void ClassifyThreaded( Classifier classifier )
{
classificationWatch.Reset();
classificationWatch.Start();
Classify(classifier);
classificationWatch.Stop();
if (ClassifyCompleted != null)
ClassifyCompleted(this);
}
public void ClassifyAsync( Classifier classifier )
{
ThreadStart ts = delegate() { ClassifyThreaded( classifier ); };
Thread thread = new Thread(ts);
thread.Start();
}
