ml

Type Members

1. abstract class BaseRegressor[F, R <: Regressor[F, R, M], M <: RegressionModel[F, M]] extends Regressor[F, R, M]

   

   Temporary hack to expose private Regressor class in SparkML as a developer API

2. trait ComplexParamsReadable[T] extends MLReadable[T]

   

3. trait ComplexParamsWritable extends MLWritable

   

4. class DFSerializer extends Serializer[DataFrame]

   

5. class ObjectSerializer[O] extends Serializer[O]

   

6. class PipeilineOptionSerializer extends Serializer[Option[PipelineStage]]

   

7. class PipelineArraySerializer extends Serializer[Array[PipelineStage]]

   

8. class PipelineSerializer extends Serializer[PipelineStage]

   

9. abstract class Ranker[FeaturesType, Learner <: Ranker[FeaturesType, Learner, M], M <: RankerModel[FeaturesType, M]] extends Predictor[FeaturesType, Learner, M] with PredictorParams with HasGroupCol

   

   Ranker base class

   Ranker base class

   FeaturesType

   Type of input features. E.g., org.apache.spark.mllib.linalg.Vector

   Learner

   Concrete Estimator type

   M

   Concrete Model type

10. abstract class RankerModel[FeaturesType, M <: RankerModel[FeaturesType, M]] extends PredictionModel[FeaturesType, M] with PredictorParams

    

    Model produced by a Ranker.

    Model produced by a Ranker.

    FeaturesType

    Type of input features. E.g., org.apache.spark.mllib.linalg.Vector

    M

    Concrete Model type.

11. abstract class Serializer[O] extends AnyRef