Class/Object

ai.tripl.arc.transform

MLTransformStage

Related Docs: object MLTransformStage | package transform

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case class MLTransformStage(plugin: MLTransform, name: String, description: Option[String], inputURI: URI, model: Either[PipelineModel, CrossValidatorModel], inputView: String, outputView: 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. MLTransformStage
  2. Serializable
  3. Serializable
  4. Product
  5. Equals
  6. PipelineStage
  7. AnyRef
  8. Any
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Visibility
  1. Public
  2. All

Instance Constructors

  1. new MLTransformStage(plugin: MLTransform, name: String, description: Option[String], inputURI: URI, model: Either[PipelineModel, CrossValidatorModel], inputView: String, outputView: String, params: Map[String, String], persist: Boolean, numPartitions: Option[Int], partitionBy: List[String])

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Value Members

  1. final def !=(arg0: Any): Boolean

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    Definition Classes
    AnyRef → Any

  2. final def ##(): Int

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    Definition Classes
    AnyRef → Any

  3. final def ==(arg0: Any): Boolean

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    Definition Classes
    AnyRef → Any

  4. final def asInstanceOf[T0]: T0

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    Definition Classes
    Any

  5. def clone(): AnyRef

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    Attributes
    protected[java.lang]
    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

  6. val description: Option[String]

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    Definition Classes
    MLTransformStage → PipelineStage

  7. final def eq(arg0: AnyRef): Boolean

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    Definition Classes
    AnyRef

  8. def execute()(implicit spark: SparkSession, logger: Logger, arcContext: ARCContext): Option[DataFrame]

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    Definition Classes
    MLTransformStage → PipelineStage

  9. def finalize(): Unit

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    Attributes
    protected[java.lang]
    Definition Classes
    AnyRef
    Annotations
    @throws( classOf[java.lang.Throwable] )

  10. final def getClass(): Class[_]

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    Definition Classes
    AnyRef → Any

  11. val inputURI: URI

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  12. val inputView: String

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  13. final def isInstanceOf[T0]: Boolean

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    Definition Classes
    Any

  14. val model: Either[PipelineModel, CrossValidatorModel]

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  15. val name: String

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    Definition Classes
    MLTransformStage → PipelineStage

  16. final def ne(arg0: AnyRef): Boolean

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    Definition Classes
    AnyRef

  17. final def notify(): Unit

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    Definition Classes
    AnyRef

  18. final def notifyAll(): Unit

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    Definition Classes
    AnyRef

  19. val numPartitions: Option[Int]

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  20. val outputView: String

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  21. val params: Map[String, String]

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  22. val partitionBy: List[String]

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  23. val persist: Boolean

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  24. val plugin: MLTransform

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    Definition Classes
    MLTransformStage → PipelineStage

  25. lazy val stageDetail: Map[String, AnyRef]

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    Definition Classes
    PipelineStage

  26. final def synchronized[T0](arg0: ⇒ T0): T0

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    Definition Classes
    AnyRef

  27. final def wait(): Unit

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    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

  28. final def wait(arg0: Long, arg1: Int): Unit

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    Definition Classes
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    Annotations
    @throws( ... )

  29. final def wait(arg0: Long): Unit

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    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

Inherited from Serializable

Inherited from Serializable

Inherited from Product

Inherited from Equals

Inherited from PipelineStage

Inherited from AnyRef

Inherited from Any

Ungrouped