Class

com.tencent.angel.ml.GBDT

GBDTRunner

Related Doc: package GBDT

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class GBDTRunner extends MLRunner

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MLRunner, AppSubmitter, AnyRef, Any
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  1. GBDTRunner
  2. MLRunner
  3. AppSubmitter
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Instance Constructors

  1. new GBDTRunner()

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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. val LOG: Log

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  5. final def asInstanceOf[T0]: T0

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    Any
  6. def clone(): AnyRef

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    Attributes
    protected[java.lang]
    Definition Classes
    AnyRef
    Annotations
    @throws( ... )
  7. final def eq(arg0: AnyRef): Boolean

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    Definition Classes
    AnyRef
  8. def equals(arg0: Any): Boolean

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    Definition Classes
    AnyRef → Any
  9. def finalize(): Unit

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    protected[java.lang]
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    AnyRef
    Annotations
    @throws( classOf[java.lang.Throwable] )
  10. final def getClass(): Class[_]

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    AnyRef → Any
  11. def hashCode(): Int

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    AnyRef → Any
  12. final def isInstanceOf[T0]: Boolean

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    Any
  13. final def ne(arg0: AnyRef): Boolean

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    Definition Classes
    AnyRef
  14. final def notify(): Unit

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    Definition Classes
    AnyRef
  15. final def notifyAll(): Unit

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    Definition Classes
    AnyRef
  16. def predict(conf: Configuration): Unit

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    Using a model to predict with unobserved samples

    Using a model to predict with unobserved samples

    Definition Classes
    GBDTRunnerMLRunner
  17. final def predict(conf: Configuration, model: MLModel, taskClass: Class[_ <: BaseTask[_, _, _]]): Unit

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    Default predict method with standard predict process.

    Default predict method with standard predict process. Don't try to override this Method.

    Attributes
    protected
    Definition Classes
    MLRunner
  18. def submit(conf: Configuration): Unit

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    MLRunner → AppSubmitter
    Annotations
    @throws( ... )
  19. final def synchronized[T0](arg0: ⇒ T0): T0

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    AnyRef
  20. def toString(): String

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  21. def train(conf: Configuration): Unit

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    Training job to obtain a model

    Training job to obtain a model

    Definition Classes
    GBDTRunnerMLRunner
  22. final def train(conf: Configuration, model: MLModel, taskClass: Class[_ <: BaseTask[_, _, _]]): Unit

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    Default train method with standard training process.

    Default train method with standard training process. Don't Override this method.

    Attributes
    protected
    Definition Classes
    MLRunner
  23. final def wait(): Unit

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    Annotations
    @throws( ... )
  24. final def wait(arg0: Long, arg1: Int): Unit

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    @throws( ... )
  25. final def wait(arg0: Long): Unit

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Inherited from MLRunner

Inherited from AppSubmitter

Inherited from AnyRef

Inherited from Any

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