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();
}
public KNN2(DrugDataset drugDataset, List <string> columnsInConsideration, DrugDataset predictionDataset,
int neighborsInCondideration, KNNInterpretation interpretation)
{
_drugDataset = drugDataset;
_columnsInConsideration = columnsInConsideration;
_predictionDataset = predictionDataset;
_neighborsInCondideration = neighborsInCondideration;
_interpretation = interpretation;
_predictionDataset.CleanAllColumns();
_drugDataset.CleanAllColumns();
Predict();
ShowResult();
Interpret();
}
private void btnCleanAll_Click(object sender, EventArgs e)
{
_drugDataset.CleanAllColumns();
}
private void btnBuild_Click(object sender, EventArgs e)
{
List <string> 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());
}
}
double entropie;
if (!double.TryParse(txtEpsilon.Text, out entropie))
{
MessageBox.Show("Entropie format est pas valide");
return;
}
if (entropie < 0 || entropie > 1)
{
MessageBox.Show("Entropie doit etre entre 0 et 1");
return;
}
TrainingRatio ratio = TrainingRatio.T1_E1;
if (rb11.Checked)
{
ratio = TrainingRatio.T1_E1;
}
if (rb21.Checked)
{
ratio = TrainingRatio.T2_E1;
}
if (rb31.Checked)
{
ratio = TrainingRatio.T3_E1;
}
if (rb41.Checked)
{
ratio = TrainingRatio.T4_E1;
}
if (rb12.Checked)
{
ratio = TrainingRatio.T1_E2;
}
if (rb13.Checked)
{
ratio = TrainingRatio.T1_E3;
}
if (rb14.Checked)
{
ratio = TrainingRatio.T1_E4;
}
if (rb23.Checked)
{
ratio = TrainingRatio.T2_E3;
}
if (rb34.Checked)
{
ratio = TrainingRatio.T3_E4;
}
Logger.BringToFront();
_drugDataset.CleanAllColumns();
DecisionTree decisionTree = new DecisionTree(_drugDataset, columnsInConsideration, entropie, ratio);
_tree = decisionTree.RunTraining();
lblTree.ForeColor = Color.Green;
lblTree.Text = _tree.Name + "( non sauvegardé )";
ShowTreeInfo();
tabControl1.SelectedTab = tabPage3;
}