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; }