Class Regressor<FeaturesType,Learner extends Regressor<FeaturesType,Learner,M>,M extends RegressionModel<FeaturesType,M>>

Object
org.apache.spark.ml.PipelineStage
org.apache.spark.ml.Estimator<M>
org.apache.spark.ml.Predictor<FeaturesType,Learner,M>
org.apache.spark.ml.regression.Regressor<FeaturesType,Learner,M>
Type Parameters:
FeaturesType - Type of input features. E.g., Vector
Learner - Concrete Estimator type
M - Concrete Model type
All Implemented Interfaces:
Serializable, org.apache.spark.internal.Logging, Params, HasFeaturesCol, HasLabelCol, HasPredictionCol, PredictorParams, Identifiable
Direct Known Subclasses:
AFTSurvivalRegression, DecisionTreeRegressor, FMRegressor, GBTRegressor, GeneralizedLinearRegression, LinearRegression, RandomForestRegressor

public abstract class Regressor<FeaturesType,Learner extends Regressor<FeaturesType,Learner,M>,M extends RegressionModel<FeaturesType,M>> extends Predictor<FeaturesType,Learner,M> implements PredictorParams
Single-label regression

See Also:
  • Constructor Details

    • Regressor

      public Regressor()