/// <summary> Returns a newly created tree. /// /// </summary> /// <param name="data">the training data /// </param> /// <param name="test">the pruning data. /// </param> /// <exception cref="Exception">if something goes wrong /// </exception> protected internal virtual ClassifierTree getNewTree(Instances train, Instances test) { ClassifierTree newTree = new ClassifierTree(m_toSelectModel); newTree.buildTree(train, test, false); return newTree; }
/// <summary> Returns a newly created tree. /// /// </summary> /// <param name="data">the training data /// </param> /// <exception cref="Exception">if something goes wrong /// </exception> protected internal virtual ClassifierTree getNewTree(Instances data) { ClassifierTree newTree = new ClassifierTree(m_toSelectModel); newTree.buildTree(data, false); return newTree; }