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 an 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
(see
Accelerated failure time model (Wikipedia))
based on the Weibull distribution of the survival time.

AFTSurvivalRegressionModel 
:: Experimental ::
Model produced by
AFTSurvivalRegression . 
DecisionTreeRegressionModel 
Decision tree (Wikipedia) model for regression.

DecisionTreeRegressor 
Decision tree
learning algorithm for regression.

GBTRegressionModel 
GradientBoosted Trees (GBTs)
model for regression.

GBTRegressor 
GradientBoosted Trees (GBTs)
learning algorithm for regression.

GeneralizedLinearRegression 
:: Experimental ::

GeneralizedLinearRegression.Binomial$ 
Binomial exponential family distribution.

GeneralizedLinearRegression.CLogLog$  
GeneralizedLinearRegression.Family$  
GeneralizedLinearRegression.FamilyAndLink$  
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$  
GeneralizedLinearRegression.Tweedie$  
GeneralizedLinearRegressionModel 
:: Experimental ::
Model produced by
GeneralizedLinearRegression . 
GeneralizedLinearRegressionSummary 
:: Experimental ::
Summary of
GeneralizedLinearRegression model and predictions. 
GeneralizedLinearRegressionTrainingSummary 
:: Experimental ::
Summary of
GeneralizedLinearRegression fitting and model. 
InternalLinearRegressionModelWriter 
A writer for LinearRegression that handles the "internal" (or default) format

IsotonicRegression 
Isotonic regression.

IsotonicRegressionModel 
Model fitted by IsotonicRegression.

LinearRegression 
Linear regression.

LinearRegressionModel 
Model produced by
LinearRegression . 
LinearRegressionSummary 
:: Experimental ::
Linear regression results evaluated on a dataset.

LinearRegressionTrainingSummary 
:: Experimental ::
Linear regression training results.

PMMLLinearRegressionModelWriter 
A writer for LinearRegression that handles the "pmml" format

RandomForestRegressionModel 
Random Forest model for regression.

RandomForestRegressor 
Random Forest
learning algorithm for regression.

RegressionModel<FeaturesType,M extends RegressionModel<FeaturesType,M>> 
:: DeveloperApi ::
