generic

Type Members

1. trait SparkWrapperParams[S <: PipelineStage with Params] extends Params

   

   Object to allow generic string based access to parameters of wrapped spark class

   Object to allow generic string based access to parameters of wrapped spark class

   S

   type of Spark stage to wrap

2. class SwBinaryEstimator[I1 <: FeatureType, I2 <: FeatureType, O <: FeatureType, M <: Model[M], E <: Estimator[M] with Params] extends Estimator[SwBinaryModel[I1, I2, O, M]] with OpPipelineStage2[I1, I2, O] with SparkWrapperParams[E]

   

   Generic wrapper for any spark estimator that has two inputs and one output

   Generic wrapper for any spark estimator that has two inputs and one output

   I1

   first input feature type

   I2

   second input feature type

   O

   output feature type

   M

   spark model type returned by spark estimator wrapped

   E

   spark estimator to wrap

3. class SwBinaryTransformer[I1 <: FeatureType, I2 <: FeatureType, O <: FeatureType, T <: Transformer with Params] extends Transformer with SwTransformer2[I1, I2, O, T]

   

   Generic wrapper for any spark transformer that has two inputs and one output

   Generic wrapper for any spark transformer that has two inputs and one output

   I1

   first input feature type

   I2

   second input feature type

   O

   type of output feature

   T

   type of spark model to wrap

4. class SwQuaternaryEstimator[I1 <: FeatureType, I2 <: FeatureType, I3 <: FeatureType, I4 <: FeatureType, O <: FeatureType, M <: Model[M], E <: Estimator[M] with Params] extends Estimator[SwQuaternaryModel[I1, I2, I3, I4, O, M]] with OpPipelineStage4[I1, I2, I3, I4, O] with SparkWrapperParams[E]

   

   Generic wrapper for any spark estimator that has four inputs and one output

   Generic wrapper for any spark estimator that has four inputs and one output

   I1

   first input feature type

   I2

   second input feature type

   I3

   third input feature type

   I4

   fourth input feature type

   O

   output feature type

   M

   spark model type returned by spark estimator wrapped

   E

   spark estimator to wrap

5. class SwQuaternaryTransformer[I1 <: FeatureType, I2 <: FeatureType, I3 <: FeatureType, I4 <: FeatureType, O <: FeatureType, T <: Transformer with Params] extends Transformer with SwTransformer4[I1, I2, I3, I4, O, T]

   

   Generic wrapper for any spark transformer that has four inputs and one output

   Generic wrapper for any spark transformer that has four inputs and one output

   I1

   first input feature type

   I2

   second input feature type

   I3

   third input feature type

   I4

   fourth input feature type

   O

   type of output feature

   T

   type of spark model to wrap

6. class SwSequenceEstimator[I <: FeatureType, O <: FeatureType, M <: Model[M], E <: Estimator[M] with Params] extends Estimator[SwSequenceModel[I, O, M]] with OpPipelineStageN[I, O] with SparkWrapperParams[E]

   

   Generic wrapper for any spark estimator that has a sequence of inputs of the same type and one output

   Generic wrapper for any spark estimator that has a sequence of inputs of the same type and one output

   I

   input feature type

   O

   output feature type

   M

   spark model type returned by spark estimator wrapped

   E

   spark estimator to wrap

7. class SwSequenceTransformer[I <: FeatureType, O <: FeatureType, T <: Transformer with Params] extends Transformer with SwTransformerN[I, O, T]

   

   Generic wrapper for any spark transformer that has a sequence of inputs of the same type and one output

   Generic wrapper for any spark transformer that has a sequence of inputs of the same type and one output

   I

   input feature type

   O

   output feature type

   T

   type of spark transformer to wrap

8. class SwTernaryEstimator[I1 <: FeatureType, I2 <: FeatureType, I3 <: FeatureType, O <: FeatureType, M <: Model[M], E <: Estimator[M] with Params] extends Estimator[SwTernaryModel[I1, I2, I3, O, M]] with OpPipelineStage3[I1, I2, I3, O] with SparkWrapperParams[E]

   

   Generic wrapper for any spark estimator that has three inputs and one output

   Generic wrapper for any spark estimator that has three inputs and one output

   I1

   first input feature type

   I2

   second input feature type

   I3

   third input feature type

   O

   output feature type

   M

   spark model type returned by spark estimator wrapped

   E

   spark estimator to wrap

9. class SwTernaryTransformer[I1 <: FeatureType, I2 <: FeatureType, I3 <: FeatureType, O <: FeatureType, T <: Model[T] with Params] extends Transformer with SwTransformer3[I1, I2, I3, O, T]

   

   Generic wrapper for any spark transformer that has three inputs and one output

   Generic wrapper for any spark transformer that has three inputs and one output

   I1

   first input feature type

   I2

   second input feature type

   I3

   third input feature type

   O

   type of output feature

   T

   type of spark model to wrap

10. class SwUnaryEstimator[I <: FeatureType, O <: FeatureType, M <: Model[M], E <: Estimator[M] with Params] extends Estimator[SwUnaryModel[I, O, M]] with OpPipelineStage1[I, O] with SparkWrapperParams[E]

    

    Generic wrapper for any spark estimator that has one input and one output

    Generic wrapper for any spark estimator that has one input and one output

    I

    input feature type

    O

    output feature type

    M

    spark model type returned by spark estimator wrapped

    E

    spark estimator to wrap

11. class SwUnaryTransformer[I <: FeatureType, O <: FeatureType, T <: Transformer with Params] extends Transformer with SwTransformer1[I, O, T]

    

    Generic wrapper for any spark transformer that has one input and one output

    Generic wrapper for any spark transformer that has one input and one output

    I

    input feature type

    O

    output feature type

    T

    type of spark transformer to wrap