Class  Description 

AFTAggregator 
AFTAggregator computes the gradient and loss for a AFT loss function,
as used in AFT survival regression for samples in sparse or dense vector in a online fashion.

AFTCostFun 
AFTCostFun implements Breeze's DiffFunction[T] for AFT cost.

AFTSurvivalRegression 
:: Experimental ::
Fit a parametric survival regression model named accelerated failure time (AFT) model
(
https://en.wikipedia.org/wiki/Accelerated_failure_time_model )
based on the Weibull distribution of the survival time. 
AFTSurvivalRegressionModel 
:: Experimental ::
Model produced by
AFTSurvivalRegression . 
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. 
GeneralizedLinearRegression 
:: Experimental ::

GeneralizedLinearRegression.Binomial$ 
Binomial exponential family distribution.

GeneralizedLinearRegression.CLogLog$  
GeneralizedLinearRegression.Family$  
GeneralizedLinearRegression.Gamma$ 
Gamma exponential family distribution.

GeneralizedLinearRegression.Gaussian$ 
Gaussian exponential family distribution.

GeneralizedLinearRegression.Identity$  
GeneralizedLinearRegression.Inverse$  
GeneralizedLinearRegression.Link$  
GeneralizedLinearRegression.Log$  
GeneralizedLinearRegression.Logit$  
GeneralizedLinearRegression.Poisson$ 
Poisson exponential family distribution.

GeneralizedLinearRegression.Probit$  
GeneralizedLinearRegression.Sqrt$  
GeneralizedLinearRegressionModel 
:: Experimental ::
Model produced by
GeneralizedLinearRegression . 
GeneralizedLinearRegressionSummary 
:: Experimental ::
Summary of
GeneralizedLinearRegression model and predictions. 
GeneralizedLinearRegressionTrainingSummary 
:: Experimental ::
Summary of
GeneralizedLinearRegression fitting and model. 
IsotonicRegression 
:: Experimental ::
Isotonic regression.

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 ::
