/// <summary>
///
/// </summary>
private void OnTrain()
{
if (Files.Any())
{
var trainingData = ParseDYN.ParseDynData(Files);
Model.TrainHiddenMarkovModel(trainingData);
switch (TrainModel.TrainingMode)
{
case "bayes":
Model.TrainNaiveBayesClassifier(trainingData);
break;
case "markov":
Model.TrainHiddenMarkovModel(trainingData);
break;
}
}
else
{
// Initializes the variables to pass to the MessageBox.Show method.
const string message = "You did not select a folder yet, please specify";
const string caption = "Error Detected in Folder Selection";
const MessageBoxButtons buttons = MessageBoxButtons.OK;
// Displays the MessageBox.
var result = MessageBox.Show(message, caption, buttons);
if (result == DialogResult.Yes)
{
// Closes the parent form.
Win?.Close();
}
}
}
/// <summary>
/// Handler for Train button. Parses selected DYN files to create train dataset.
/// </summary>
private void OnTrain()
{
if (Files.Any())
{
// (Aaron) Parse all the Dyns under DirectoryPath to CSV format
var trainingData = ParseDYN.ParseDynData(Files);
// (Konrad) Export the CSV to the %AppData%\thesaurus folder
// That's the only location that we are sure user will have write access
// This makes it possible for user to train his/her model on graphs
// stored somewhere on the network where they are "read-only" for non-admins.
ParseDYN.csvParser.ExportCSV();
Model.TrainHiddenMarkovModel(trainingData);
switch (TrainModel.TrainingMode)
{
case "bayes":
Model.TrainNaiveBayesClassifier(trainingData);
break;
case "markov":
Model.TrainHiddenMarkovModel(trainingData);
break;
}
var message = Properties.Resources.Train_Success;
const string caption = "Success";
const MessageBoxButtons buttons = MessageBoxButtons.OK;
var result = MessageBox.Show(message, caption, buttons, MessageBoxIcon.Information);
if (result == DialogResult.OK)
{
Win?.Close();
}
}
else
{
var message = Properties.Resources.Train_FolderError;
const string caption = "Error";
const MessageBoxButtons buttons = MessageBoxButtons.OK;
MessageBox.Show(message, caption, buttons, MessageBoxIcon.Error);
}
}