Decision tree model for classification or regression.
Represents a gradient boosted trees model.
:: DeveloperApi :: Information gain statistics for each split
:: DeveloperApi :: Node in a decision tree.
:: DeveloperApi :: Predicted value for a node
Represents a random forest model.
:: DeveloperApi :: Split applied to a feature
Threshold for continuous feature. Split left if feature is less than or equal to threshold, else right.
type of feature -- categorical or continuous
Split left if categorical feature value is in this set, else right.