A random forest is a bagging ensemble of randomized trees, so it can be implemented by combining the BaggedClassifier and RandomizedTree objects. This function is just a helper to your life easier. Parameters ---------- X : numpy array containing input data. Should h
(
X,
Y,
num_trees = 20,
max_thresholds = 10,
max_height = None,
min_leaf_size = None,
bagging_percent=0.65)
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