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(); }