private void btnLoadTree_Click(object sender, EventArgs e)
{
if (!File.Exists(txtLoadTree.Text))
{
MessageBox.Show("Le chemin est invalid");
return;
}
string json = "";
try
{
json = File.ReadAllText(txtLoadTree.Text);
}
catch (Exception ex)
{
MessageBox.Show("Une erreur s'est produite lors de la lecture du fichier");
return;
}
try
{
_tree = JsonConvert.DeserializeObject <SavingTree>(json, new JsonSerializerSettings
{
ReferenceLoopHandling = ReferenceLoopHandling.Serialize,
PreserveReferencesHandling = PreserveReferencesHandling.Objects
});
}
catch (Exception ex)
{
MessageBox.Show($"Une erreur lors de la désérialisation de l'arbre, {ex.Message}");
return;
}
ShowTreeInfo();
RebuildPredicate(_tree.Root);
lblTree.Text = _tree.Name + "( sauvegardé )";
tabControl1.SelectedTab = tabPage3;
}
public DecisionTreePrediction(DrugDataset rawDataset, DrugDataset normalizedDataset, SavingTree tree)
{
_rawDataset = rawDataset;
_normalizedDataset = normalizedDataset;
_tree = tree;
}
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;
}