private async void GoButton_Click(object sender, RoutedEventArgs e)
{
LeftPanel.Children.Clear();
RightPanel.Children.Clear();
string fileName = AppDomain.CurrentDomain.BaseDirectory + "train.csv";
int offset = int.Parse(Offset.Text);
int recordCount = int.Parse(RecordCount.Text);
string[] rawTrain = await Task.Run(() => Loader.trainingReader(fileName, offset, recordCount));
string[] rawValidation = await Task.Run(() => Loader.validationReader(fileName, offset, recordCount));
var manhattanClassifier = Recognizers.manhattanClassifier(rawTrain);
var euclideanClassifier = Recognizers.euclideanClassifier(rawTrain);
var manhattanRecognizer = new ParallelRecognizerControl(
"Manhattan Classifier", manhattanClassifier, rawValidation);
LeftPanel.Children.Add(manhattanRecognizer);
var euclideanRecognizer = new ParallelRecognizerControl(
"Euclidean Classifier", euclideanClassifier, rawValidation);
RightPanel.Children.Add(euclideanRecognizer);
await manhattanRecognizer.Start();
await euclideanRecognizer.Start();
}
private async void GoButton_Click(object sender, RoutedEventArgs e)
{
LeftPanel.Children.Clear();
RightPanel.Children.Clear();
string fileName = AppDomain.CurrentDomain.BaseDirectory + "train.csv";
int offset = int.Parse(Offset.Text);
int recordCount = int.Parse(RecordCount.Text);
string[] rawTrain = await Task.Run(() => Loader.trainingReader(fileName, offset, recordCount));
string[] rawValidation = await Task.Run(() => Loader.validationReader(fileName, offset, recordCount));
var manhattanClassifier = Recognizers.manhattanClassifier(rawTrain);
var manhattanRecognizer = new NonParallelRecognizerControl(
"Single-Threaded Manhattan Classifier");
LeftPanel.Children.Add(manhattanRecognizer);
var parallelManhattanRecognizer = new ParallelRecognizerControl(
"Parallel Manhattan Classifier");
RightPanel.Children.Add(parallelManhattanRecognizer);
MessageBox.Show("Ready to start non-parallel");
await manhattanRecognizer.Start(rawValidation, manhattanClassifier);
MessageBox.Show("Ready to start parallel");
await parallelManhattanRecognizer.Start(rawValidation, manhattanClassifier);
}
