Interface  Description 

DataFrameRegression 
Regression trait on DataFrame.

OnlineRegression<T> 
Regression model with online learning capability.

Regression<T> 
Regression analysis includes any techniques for modeling and analyzing
the relationship between a dependent variable and one or more independent
variables.

Class  Description 

ElasticNet 
Elastic Net regularization.

GaussianProcessRegression<T> 
Gaussian Process for Regression.

GradientTreeBoost 
Gradient boosting for regression.

KernelMachine<T> 
The learning methods building on kernels.

LASSO 
Lasso (least absolute shrinkage and selection operator) regression.

LinearModel 
Linear model.

MLP 
Fully connected multilayer perceptron neural network for regression.

OLS 
Ordinary least squares.

RandomForest 
Random forest for regression.

RandomForest.Model 
The base model.

RBFNetwork<T> 
Radial basis function network.

Regression.Metric 
Regression metrics.

RegressionTree 
Regression tree.

RidgeRegression 
Ridge Regression.

SVR 
Epsilon support vector regression.
