package regression

  1. Public
  2. All

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 ::

Value Members

  1. object DecisionTreeRegressor extends Serializable

  2. object GBTRegressor extends Serializable

  3. object RandomForestRegressor extends Serializable