Method to calculate error of the base learner for the gradient boosting calculation.
Method to calculate error of the base learner for the gradient boosting calculation. Note: This method is not used by the gradient boosting algorithm but is useful for debugging purposes.
Model of the weak learner.
Training dataset: RDD of org.apache.spark.mllib.regression.LabeledPoint.
Measure of model error on data
:: DeveloperApi :: Trait for adding "pluggable" loss functions for the gradient boosting algorithm.