public Program() { var regDlg = new RegistrationDialog(this); var fbDlg = new FeedbackDialog(this); var tüDlg = new TrainingsübersichtDialog(this); var trDlg = new TrainingDialog(this); var rDlg = new RootDialog(this); regDlg.OnShowRequest += regDlg.Show; regDlg.OnRegistrationRequest += (tid, name, email) => { if (name == "x") regDlg.Retry("someMatchcode", name, email, string.Format("Received: {0}, {1}, {2}", tid, name, email)); else regDlg.Ack("someMatchcode", name, email); }; fbDlg.OnShowRequest += fbDlg.Show; fbDlg.OnFeedbackRequest += (tmatchcode, email, score, suggestions) => { if (email == "x") fbDlg.Retry(tmatchcode, email, score, suggestions, string.Format("Received: {0}, {1}, {2}, {3}", tmatchcode, email, score, suggestions)); else fbDlg.Ack(tmatchcode); }; tüDlg.OnShowRequest += trainerMatchcode => tüDlg.Show(trainerMatchcode, new[] { new Tuple<string, string>("1", "training1"), new Tuple<string, string>("2", "training2") }, ""); tüDlg.OnTrainingCreationRequest += (trainerMatchcode, newTrainingMatchcode) => tüDlg.Show(trainerMatchcode, new[] { new Tuple<string, string>("1", "training1"), new Tuple<string, string>("2", "training2"), new Tuple<string, string>("3", newTrainingMatchcode), }, newTrainingMatchcode == "x" ? "Training matchcode already existent." : ""); trDlg.OnShowRequest += trainingId => { var ti = new TrainingInfo { Matchcode = "someTraining", Votes = new[] { new VoteInfo {Name = "n1", Email = "e1@", Score = 6, Suggestions = "s1"}, new VoteInfo {Name = "n2", Email = "e2@", Score = 7, Suggestions = "s2"}, }, AverageScore = 6.5 }; trDlg.Show(ti); }; Get["/hello"] = _ => "Hello from instavote.dialogs.tests, " + DateTime.Now; }
private void Button_Click(object sender, RoutedEventArgs e) { if (network == null) { return; } var trainingFileContent = OpenFileWithDialog("Open news training data", "*.csv|*.csv"); if (trainingFileContent == null) { return; } var trainingData = new List <TrainingSuite.TrainingData>(); FillTrainingDataFromFile(ref trainingData, trainingFileContent, network.GetInputSize()); var trainingSuite = new TrainingSuite(trainingData); trainingSuite.config.learningRate = float.Parse(txtLearningRate.Text); trainingSuite.config.epochs = int.Parse(txtEpochs.Text); trainingSuite.config.miniBatchSize = int.Parse(txtMiniBatches.Text); trainingSuite.config.regularizationLambda = float.Parse(txtRegularizationLambda.Text); trainingSuite.config.shuffleTrainingData = chkShuffleMinibatches.IsChecked == true; switch (cmbCostFunction.SelectedIndex) { case 1: trainingSuite.config.costFunction = new MeanSquaredErrorFunction(); break; case 0: default: trainingSuite.config.costFunction = new CrossEntropyErrorFunction(); break; } switch (cmbRegularization.SelectedIndex) { case 0: trainingSuite.config.regularization = TrainingSuite.TrainingConfig.Regularization.None; break; case 1: trainingSuite.config.regularization = TrainingSuite.TrainingConfig.Regularization.L1; break; case 2: default: trainingSuite.config.regularization = TrainingSuite.TrainingConfig.Regularization.L2; break; } var calculator = GetCalculator(cmbComputeDevice.SelectedIndex); var trainingProcess = network.Train(trainingSuite, calculator); var dialogWnd = new TrainingDialog(trainingProcess); dialogWnd.ShowDialog(); }