Function train_sgd_forest

A random forest whose base classifier is a tree of SGD classifiers Parameters ---------- X : numpy array containing input data. Should have samples for rows and features for columns. Y : numpy array containing class labels for each sample num_trees : how b

(X, Y, 
        num_trees = 20, 
        max_depth = 3, 
        bagging_percent=0.65, 
        randomize_alpha=False, 
        model_args = {}, 
        tree_args= {})