Class  Description 

DecisionTreeRegressionModel 
:: Experimental ::
Decision tree model for regression. 
DecisionTreeRegressor 
:: Experimental ::
Decision tree learning algorithm
for regression. 
GBTRegressionModel 
:: Experimental ::

GBTRegressor 
:: Experimental ::
GradientBoosted Trees (GBTs)
learning algorithm for regression. 
IsotonicRegression  
IsotonicRegressionModel 
:: Experimental ::
Model fitted by IsotonicRegression.

LeastSquaresAggregator 
LeastSquaresAggregator computes the gradient and loss for a Leastsquared 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 . 
LinearRegressionSummary 
:: Experimental ::
Linear regression results evaluated on a dataset.

LinearRegressionTrainingSummary 
:: Experimental ::
Linear regression training results.

RandomForestRegressionModel 
:: Experimental ::
Random Forest model for regression. 
RandomForestRegressor 
:: Experimental ::
Random Forest learning algorithm for regression. 
RegressionModel<FeaturesType,M extends RegressionModel<FeaturesType,M>> 
:: DeveloperApi ::
