Packages

c

ml.dmlc.xgboost4j.scala.spark

GpuXGBoostPlugin

class GpuXGBoostPlugin extends XGBoostPlugin

GpuXGBoostPlugin is the XGBoost plugin which leverages spark-rapids to accelerate the XGBoost from ETL to train.

Linear Supertypes
XGBoostPlugin, Serializable, AnyRef, Any
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  1. GpuXGBoostPlugin
  2. XGBoostPlugin
  3. Serializable
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Instance Constructors

  1. new GpuXGBoostPlugin()

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. def buildRddWatches[T <: XGBoostEstimator[T, M], M <: XGBoostModel[M]](estimator: XGBoostEstimator[T, M], dataset: Dataset[_]): (RDD[Watches], Map[String, AnyRef])

    Convert Dataset to RDD[Watches] which will be fed into XGBoost

    Convert Dataset to RDD[Watches] which will be fed into XGBoost

    estimator

    which estimator to be handled.

    dataset

    to be converted.

    returns

    RDD[Watches]

    Definition Classes
    GpuXGBoostPlugin → XGBoostPlugin
  6. def clone(): AnyRef
    Attributes
    protected[lang]
    Definition Classes
    AnyRef
    Annotations
    @throws( ... ) @native()
  7. final def eq(arg0: AnyRef): Boolean
    Definition Classes
    AnyRef
  8. def equals(arg0: Any): Boolean
    Definition Classes
    AnyRef → Any
  9. def finalize(): Unit
    Attributes
    protected[lang]
    Definition Classes
    AnyRef
    Annotations
    @throws( classOf[java.lang.Throwable] )
  10. final def getClass(): Class[_]
    Definition Classes
    AnyRef → Any
    Annotations
    @native()
  11. def hashCode(): Int
    Definition Classes
    AnyRef → Any
    Annotations
    @native()
  12. def isEnabled(dataset: Dataset[_]): Boolean

    Whether the plugin is enabled or not, if not enabled, fallback to the regular CPU pipeline

    Whether the plugin is enabled or not, if not enabled, fallback to the regular CPU pipeline

    dataset

    the input dataset

    returns

    Boolean

    Definition Classes
    GpuXGBoostPlugin → XGBoostPlugin
  13. final def isInstanceOf[T0]: Boolean
    Definition Classes
    Any
  14. final def ne(arg0: AnyRef): Boolean
    Definition Classes
    AnyRef
  15. final def notify(): Unit
    Definition Classes
    AnyRef
    Annotations
    @native()
  16. final def notifyAll(): Unit
    Definition Classes
    AnyRef
    Annotations
    @native()
  17. final def synchronized[T0](arg0: ⇒ T0): T0
    Definition Classes
    AnyRef
  18. def toString(): String
    Definition Classes
    AnyRef → Any
  19. def transform[M <: XGBoostModel[M]](model: XGBoostModel[M], dataset: Dataset[_]): DataFrame
    Definition Classes
    GpuXGBoostPlugin → XGBoostPlugin
  20. final def wait(): Unit
    Definition Classes
    AnyRef
    Annotations
    @throws( ... )
  21. final def wait(arg0: Long, arg1: Int): Unit
    Definition Classes
    AnyRef
    Annotations
    @throws( ... )
  22. final def wait(arg0: Long): Unit
    Definition Classes
    AnyRef
    Annotations
    @throws( ... ) @native()

Inherited from XGBoostPlugin

Inherited from Serializable

Inherited from AnyRef

Inherited from Any

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