public void LoadRFModel(string file_name = "")
{
if (file_name == "")
file_name = RF_model_file_path_;
decisionForest = new dforest.decisionforest();
alglib.serializer Serializer = new alglib.serializer();
string modelFile = System.IO.File.ReadAllText(file_name);
Serializer.ustart_str(modelFile);
dforest.dfunserialize(Serializer, decisionForest);
Serializer.stop();
Console.WriteLine("Finish loading the RF model");
Console.WriteLine("Total tree size: {0}", decisionForest.trees.Length);
int treeSize = (int)(decisionForest.trees.Length / decisionForest.ntrees);
Console.WriteLine("single tree size:{0}", treeSize);
Console.WriteLine("Number of variable: {0}", decisionForest.nvars);
Console.WriteLine("ntress: {0}", decisionForest.ntrees);
Console.WriteLine("nclasses: {0}", decisionForest.nclasses);
// turn the tree from double type to int type to make it more efficient
trees_int_ = new int[decisionForest.trees.Length];
Console.WriteLine("Length of the original tree: {0}", trees_int_.Length);
for (int i = 0; i < decisionForest.trees.Length; i++)
trees_int_[i] = (int)Math.Ceiling(decisionForest.trees[i]);
}
/* ######################### */
// load the random forest model from the file to the class property decisionForest
private void LoadRFModel() {
string modelFilePath = feature_lib_obj_.directory + "\\FeatureVectureBlue149.rf.model";
Console.WriteLine("Model file path {0}", modelFilePath);
string modelFile = System.IO.File.ReadAllText(modelFilePath);
alglib.serializer Serializer = new alglib.serializer();
Serializer.ustart_str(modelFile);
dforest.dfunserialize(Serializer, decisionForest);
Serializer.stop();
Console.WriteLine("Finish loading the RF model");
}