regression

Type Members

1. final class DecisionTreeRegressionModel extends PredictionModel[Vector, DecisionTreeRegressionModel] with DecisionTreeModel with Serializable

   :: Experimental :: Decision tree model for regression.

2. final class DecisionTreeRegressor extends Predictor[Vector, DecisionTreeRegressor, DecisionTreeRegressionModel] with DecisionTreeParams with TreeRegressorParams

   :: Experimental :: Decision tree learning algorithm for regression.

3. final class GBTRegressionModel extends PredictionModel[Vector, GBTRegressionModel] with TreeEnsembleModel with Serializable

   :: Experimental ::

4. final class GBTRegressor extends Predictor[Vector, GBTRegressor, GBTRegressionModel] with GBTParams with TreeRegressorParams with Logging

   :: Experimental :: Gradient-Boosted Trees (GBTs) learning algorithm for regression.

5. class LinearRegression extends Regressor[Vector, LinearRegression, LinearRegressionModel] with LinearRegressionParams with Logging

   :: Experimental :: Linear regression.

6. class LinearRegressionModel extends RegressionModel[Vector, LinearRegressionModel] with LinearRegressionParams

   :: Experimental :: Model produced by LinearRegression.

7. final class RandomForestRegressionModel extends PredictionModel[Vector, RandomForestRegressionModel] with TreeEnsembleModel with Serializable

   :: Experimental :: Random Forest model for regression.

8. final class RandomForestRegressor extends Predictor[Vector, RandomForestRegressor, RandomForestRegressionModel] with RandomForestParams with TreeRegressorParams

   :: Experimental :: Random Forest learning algorithm for regression.

9. abstract class RegressionModel[FeaturesType, M <: RegressionModel[FeaturesType, M]] extends PredictionModel[FeaturesType, M] with PredictorParams

   :: DeveloperApi ::