private void PreprocessToWorkTree()
{
var c45 = new DecisionTreeC45();
int parameterID = XMLWork.FindIDWithName(parameterCondition.SelectedItem.ToString(), Properties.Settings.Default.Languages);
_root = c45.MountTree(TrainData.Train, TrainData.nameParameter, parameterID, Convert.ToInt32(textEdit1.Value) + 1);
MessageBox.Show(Localization.MyStrings.Over);
}
private void PrintNode(DM.DecisionTree.TreeNode test_tree, List <IndexVertex> vertex, int index)
{
if (test_tree.attribute.values != null)
{
for (int i = 0; i < test_tree.attribute.values.Count; i++)
{
TreeNode childNode = test_tree.getChildByBranchName(test_tree.attribute.values[i]);
vertex.Add(new IndexVertex(childNode.attributeName + "\n" + childNode.Positive + "|" + childNode.Negative, index, test_tree.attribute.values[i], Brushes.DarkGreen));
int number = vertex.Count;
PrintNode(childNode, vertex, number - 1);
}
}
}
private void PrintNode_group(DM.DecisionTree.TreeNode test_tree, List <IndexVertex> vertex, int index, string groupParamName)
{
if (test_tree.attribute.values != null)
{
for (int i = 0; i < test_tree.attribute.values.Count; i++)
{
TreeNode childNode = test_tree.getChildByBranchName(test_tree.attribute.values[i]);
if (childNode.attributeName != groupParamName)
{
vertex.Add(new IndexVertex(XMLWork.FindNameWithScada(test_tree.attributeName, language) + "\n" + childNode.Positive + "|" + childNode.Negative, index, test_tree.attribute.values[i], Brushes.DarkOrange));
int number = vertex.Count;
PrintNode_group(childNode, vertex, number - 1, groupParamName);
}
}
}
}
private void PreprocessToWorkTreeRandomForest(TrainData trainedData, TrainData checkData,
Dictionary <int, string> analysParameter)
{
int numberOfForest = Convert.ToInt32(numberOfForests.Value);
RandForests = new List <DM.DecisionTree.TreeNode>();
//double accuracy = 0.0;
//do
//{
//Random rand = new Random((int) (DateTime.Now.Ticks));
//DivideSet(rand, trainData, trainedData, checkData);
List <DM.DecisionTree.TreeNode> rndForests = new List <DM.DecisionTree.TreeNode>();
int parameterID = XMLWork.FindIDWithName(parameterCondition.SelectedItem.ToString(), Properties.Settings.Default.Languages);
int restrictCountOfParameters = Convert.ToInt32(Math.Sqrt(analysParameter.Count)) + 1;
Dictionary <int, string> newParameters = new Dictionary <int, string>();
for (int forestsCount = 0; forestsCount < numberOfForest;)
{
DM.DecisionTree.RandomForest random = new RandomForest();
List <int> parametersName = new List <int>();
foreach (KeyValuePair <int, string> keyValuePair in analysParameter)
{
if (!keyValuePair.Value.StartsWith("Def"))
{
parametersName.Add(keyValuePair.Key);
}
}
for (int i = 0; i < restrictCountOfParameters; i++)
{
int j = rand.Next(0, analysParameter.Count);
if (!newParameters.ContainsKey(parametersName[j]))
{
newParameters.Add(parametersName[j], analysParameter[parametersName[j]]);
}
}
List <OneRow> trainData = new List <OneRow>();
trainData = GetRandomData(TrainData.Train, newParameters, parameterID);
_root = random.MountTree(trainData, newParameters, parameterID, Convert.ToInt32(textEdit1.Value) + 1);
if (_root.attributeName != "False")
{
RandForests.Add(_root);
forestsCount++;
}
newParameters.Clear();
}
}
private void histogramm_Click(object sender, EventArgs e)
{
try
{
if (RandForests == null)
{
ListRandomForests rndForests2 =
SaveXML.DeserializeObjectRandomForests(Directory.GetCurrentDirectory() + @"\" + "output2.txt");
RandForests = rndForests2.RndForests;
}
_root = rndForests[0];
Diagramm diag = new Diagramm(RandForests);
diag.Show();
}
catch (FileNotFoundException)
{
MessageBox.Show(Localization.MyStrings.FileNotFoundMathematical);
}
catch (Exception ex)
{
MessageBox.Show(ex.ToString());
}
}
