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();
}
}
