| Class | Definition |
| DecisionTreeRegressor | Single Decision Tree Regressor. |
| DummyTreeRegressor | This regressor learns by heart the training data. |
| ElasticNet | Creates a ElasticNet object by using the Vertica Highly Distributed and Scalable Linear Regression on the data. |
| KNeighborsRegressor | Creates a KNeighborsRegressor object by using the k-nearest neighbors algorithm. |
| Lasso | Creates a Lasso object by using the Vertica Highly Distributed and Scalable Linear Regression on the data. |
| LinearRegression | Creates a LinearRegression object by using the Vertica Highly Distributed and Scalable Linear Regression on the data. |
| LinearSVR | Creates a LinearSVR object by using the Vertica Highly Distributed and Scalable SVM on the data. |
| RandomForestRegressor | Creates a RandomForestRegressor object by using the Vertica Highly Distributed and Scalable Random Forest on the data. |
| Ridge | Creates a Ridge object by using the Vertica Highly Distributed and Scalable Linear Regression on the data. |
| XGBoostRegressor | Creates a XGBoostRegressor object using the XGBOOST algorithm. |
