Function train_svm_forest

A random forest whose base classifier is a SVM-Tree (rather than splitting individual features we project each point onto a hyperplane) Parameters ---------- X : numpy array containing input data. Should have samples for rows and features for columns. Y : numpy

(X, Y, num_trees = 10, max_depth = 3, bagging_percent=0.65, randomize_C = False, model_args ={}, tree_args={})