private void fileSelectBtn_Click(object sender, EventArgs e)
{
if (csvFileLoader.ShowDialog() == DialogResult.OK)
{
// Force disable the CheckBox
useHeaderCheckbox.Enabled = false;
useHeaderCheckbox.Checked = false;
// Force disable Buttons
startTrainingBtn.Enabled = false;
showTreeBtn.Enabled = false;
predictionsBtn.Enabled = false;
// Clear any previous training data
tree = null;
trainingData = new Dataset();
CsvConfiguration config = new CsvConfiguration(CultureInfo.InvariantCulture)
{
HasHeaderRecord = false
};
// Wrap all this code in a try-catch block to catch parsing errors
try {
// Read the contents of the file into a stream
using (Stream fileStream = csvFileLoader.OpenFile())
using (StreamReader reader = new StreamReader(fileStream))
using (CsvReader csv = new CsvReader(reader, config)) {
int maxFeatureCount = 0;
// Read every line individually
while (csv.Read())
{
// Parse the current record
var record = csv.GetRecord <dynamic>();
Row featureRow = Row.ParseFromCsv(record);
if (featureRow != null)
{
trainingData.Add(featureRow);
if (featureRow.Count > maxFeatureCount)
{
maxFeatureCount = featureRow.Count;
}
}
}
// Add default headers
for (int i = 0; i < maxFeatureCount; ++i)
{
string header = $"Field{i + 1}";
trainingData.Headers.Add(header);
}
}
// Get the path of the specified file
csvFilePath = csvFileLoader.SafeFileName;
fileNameLabel.Text = $"Seleccionado: {csvFilePath}";
// Display the fields in the UI
CreateFieldsFromDataset(fieldsPanel, trainingData);
// Reset the CheckBox state to enabled
useHeaderCheckbox.Enabled = true;
// Re-enable the training button
startTrainingBtn.Enabled = true;
} catch (Exception) {
// This will catch any type of Exception (for now)
// Clear any fields that were added
fieldsPanel.Controls.Clear();
// Clear any changes made to trainingData
trainingData.Clear();
// Inform the user parsing has failed
string title = "¡Uh-oh!";
string message =
"Ha sucedido un problema al intentar leer el archivo CSV. Revisa que este tenga una sintaxis válida.";
_ = MessageBox.Show(message, title, MessageBoxButtons.OK, MessageBoxIcon.Error);
}
}
}
public DecisionNode(Dataset dataset)
{
this.dataset = dataset;
predictions = DecisionTree.GetClassCount(dataset);
}
