private void btnEvaluateFile_Click(object sender, EventArgs e)
{
if (!File.Exists(txtEvaluationFile.Text))
{
MessageBox.Show("Chemin invalide");
return;
}
var rawDataset = new DrugDataset();
var normalizedDataset = new DrugDataset();
var rawLines = File.ReadAllLines(txtEvaluationFile.Text).Select(x => x.Split(',')).ToList();
var lines = File.ReadAllLines(txtEvaluationFile.Text).Select(x => x.Split(',')).ToList();
Logger.LogMessage($"All lines were read from evaluation file ${txtEvaluationFile.Text}");
try
{
rawDataset.CreateDataset(rawLines);
normalizedDataset.CreateDataset(lines);
}
catch (Exception ex)
{
Logger.LogError($"Error happened while creating Dataset: ${ex.Message}");
}
normalizedDataset.CleanAllColumns();
DecisionTreePrediction prediction = new DecisionTreePrediction(rawDataset, normalizedDataset, _tree);
prediction.Predict();
}
private void CreateDataset()
{
var lines = File.ReadAllLines(_csvFile).Select(x => x.Split(',')).ToList();
Logger.LogMessage($"All lines were read from file ${_csvFile}");
try
{
_drugDataset.CreateDataset(lines);
}
catch (Exception ex)
{
Logger.LogError($"Error happened while creating Dataset: ${ex.Message}");
}
dataGridView1.DataSource = _drugDataset.DrugDataTable;
}
private DrugDataset CreateFilteredDataset(DrugDataset fromDataset, string filterExpression)
{
var dataRows = fromDataset.DrugDataTable.Select(filterExpression);
var rows = new List <string[]>();
rows.Add(_dataset.Columns.ToArray());
foreach (var dataRow in dataRows)
{
rows.Add(dataRow.ItemArray.Select(i => i.ToString()).ToArray());
}
var newDataset = new DrugDataset();
newDataset.CreateDataset(rows);
return(newDataset);
}
private void btnEvaluateFile_Click(object sender, EventArgs e)
{
if (!File.Exists(txtEvaluationFile.Text))
{
MessageBox.Show("Chemin invalide");
return;
}
int neighborInConsideration = 0;
if (!int.TryParse(txtNbNeighbor.Text, out neighborInConsideration) || neighborInConsideration <= 0)
{
MessageBox.Show("Le nombre de voisin à prendre en considération est invalide");
return;
}
var columnsInConsideration = new List <string>();
for (int i = 0; i < checkedListBox1.Items.Count; i++)
{
if (checkedListBox1.GetItemCheckState(i) == CheckState.Checked)
{
columnsInConsideration.Add(checkedListBox1.Items[i].ToString());
}
}
if (columnsInConsideration.Contains("Nicotine"))
{
MessageBox.Show("Les colonnes en considération ne peuvent pas contenir la colonne Nicotine");
return;
}
var dataset = new DrugDataset();
var lines = File.ReadAllLines(txtEvaluationFile.Text).Select(x => x.Split(',')).ToList();
Logger.LogMessage($"All lines were read from evaluation file ${txtEvaluationFile.Text}");
try
{
dataset.CreateDataset(lines);
}
catch (Exception ex)
{
Logger.LogError($"Error happened while creating Dataset: ${ex.Message}");
}
KNNInterpretation interpretation = KNNInterpretation.Mode;
if (rbMediane.Checked)
{
interpretation = KNNInterpretation.Median;
}
else if (rbMode.Checked)
{
interpretation = KNNInterpretation.Mode;
}
else if (rbMoyenne.Checked)
{
interpretation = KNNInterpretation.Mean;
}
Logger.BringToFront();
_knn2 = new KNN2(_drugDataset, columnsInConsideration, dataset, neighborInConsideration, interpretation);
}
