Package org.apache.spark.ml.regression

Class Summary

DecisionTreeRegressionModel	:: Experimental :: Decision tree model for regression.
DecisionTreeRegressor	:: Experimental :: Decision tree learning algorithm for regression.
GBTRegressionModel	:: Experimental ::
GBTRegressor	:: Experimental :: Gradient-Boosted Trees (GBTs) learning algorithm for regression.
LeastSquaresAggregator	LeastSquaresAggregator computes the gradient and loss for a Least-squared loss function, as used in linear regression for samples in sparse or dense vector in a online fashion.
LeastSquaresCostFun	LeastSquaresCostFun implements Breeze's DiffFunction[T] for Least Squares cost.
LinearRegression	:: Experimental :: Linear regression.
LinearRegressionModel	:: Experimental :: Model produced by LinearRegression.
RandomForestRegressionModel	:: Experimental :: Random Forest model for regression.
RandomForestRegressor	:: Experimental :: Random Forest learning algorithm for regression.
RegressionModel<FeaturesType,M extends RegressionModel<FeaturesType,M>>	:: DeveloperApi ::