case class TensorFlowServingTransformStage(plugin: TensorFlowServingTransform, name: String, description: Option[String], inputView: String, outputView: String, uri: URI, signatureName: Option[String], responseType: ResponseType, batchSize: Int, inputField: String, params: Map[String, String], persist: Boolean, numPartitions: Option[Int], partitionBy: List[String]) extends PipelineStage with Product with Serializable

Linear Supertypes
Serializable, Serializable, Product, Equals, PipelineStage, AnyRef, Any
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Inherited
  1. TensorFlowServingTransformStage
  2. Serializable
  3. Serializable
  4. Product
  5. Equals
  6. PipelineStage
  7. AnyRef
  8. Any
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Visibility
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Instance Constructors

  1. new TensorFlowServingTransformStage(plugin: TensorFlowServingTransform, name: String, description: Option[String], inputView: String, outputView: String, uri: URI, signatureName: Option[String], responseType: ResponseType, batchSize: Int, inputField: String, params: Map[String, String], persist: Boolean, numPartitions: Option[Int], partitionBy: List[String])

Value Members

  1. final def !=(arg0: Any): Boolean
    Definition Classes
    AnyRef → Any
  2. final def ##(): Int
    Definition Classes
    AnyRef → Any
  3. final def ==(arg0: Any): Boolean
    Definition Classes
    AnyRef → Any
  4. final def asInstanceOf[T0]: T0
    Definition Classes
    Any
  5. val batchSize: Int
  6. def clone(): AnyRef
    Attributes
    protected[lang]
    Definition Classes
    AnyRef
    Annotations
    @throws( ... ) @native()
  7. val description: Option[String]
    Definition Classes
    TensorFlowServingTransformStage → PipelineStage
  8. final def eq(arg0: AnyRef): Boolean
    Definition Classes
    AnyRef
  9. def execute()(implicit spark: SparkSession, logger: Logger, arcContext: ARCContext): Option[DataFrame]
    Definition Classes
    TensorFlowServingTransformStage → PipelineStage
  10. def finalize(): Unit
    Attributes
    protected[lang]
    Definition Classes
    AnyRef
    Annotations
    @throws( classOf[java.lang.Throwable] )
  11. final def getClass(): Class[_]
    Definition Classes
    AnyRef → Any
    Annotations
    @native()
  12. val inputField: String
  13. val inputView: String
  14. final def isInstanceOf[T0]: Boolean
    Definition Classes
    Any
  15. val name: String
    Definition Classes
    TensorFlowServingTransformStage → PipelineStage
  16. final def ne(arg0: AnyRef): Boolean
    Definition Classes
    AnyRef
  17. final def notify(): Unit
    Definition Classes
    AnyRef
    Annotations
    @native()
  18. final def notifyAll(): Unit
    Definition Classes
    AnyRef
    Annotations
    @native()
  19. val numPartitions: Option[Int]
  20. val outputView: String
  21. val params: Map[String, String]
  22. val partitionBy: List[String]
  23. val persist: Boolean
  24. val plugin: TensorFlowServingTransform
    Definition Classes
    TensorFlowServingTransformStage → PipelineStage
  25. val responseType: ResponseType
  26. val signatureName: Option[String]
  27. lazy val stageDetail: Map[String, AnyRef]
    Definition Classes
    PipelineStage
  28. final def synchronized[T0](arg0: ⇒ T0): T0
    Definition Classes
    AnyRef
  29. val uri: URI
  30. final def wait(): Unit
    Definition Classes
    AnyRef
    Annotations
    @throws( ... )
  31. final def wait(arg0: Long, arg1: Int): Unit
    Definition Classes
    AnyRef
    Annotations
    @throws( ... )
  32. final def wait(arg0: Long): Unit
    Definition Classes
    AnyRef
    Annotations
    @throws( ... ) @native()

Inherited from Serializable

Inherited from Serializable

Inherited from Product

Inherited from Equals

Inherited from PipelineStage

Inherited from AnyRef

Inherited from Any

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