Internal representation of LabeledPoint for DecisionTree.
This bins feature values based on a subsampled of data as follows:
(a) Continuous features are binned into ranges.
(b) Unordered categorical features are binned based on subsets of feature values.
"Unordered categorical features" are categorical features with low arity used in
multiclass classification.
(c) Ordered categorical features are binned based on feature values.
"Ordered categorical features" are categorical features with high arity,
or any categorical feature used in regression or binary classification.