Class

com.tencent.angel.ml.GBDT

GBDTLearner

Related Doc: package GBDT

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class GBDTLearner extends MLLearner

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MLLearner, AnyRef, Any
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Instance Constructors

  1. new GBDTLearner(ctx: TaskContext)

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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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    Definition Classes
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  6. def clone(): AnyRef

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

  7. val conf: Configuration

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    Definition Classes
    MLLearner

  8. val ctx: TaskContext

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    Definition Classes
    GBDTLearner → MLLearner

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

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    Definition Classes
    AnyRef

  10. def equals(arg0: Any): Boolean

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    Definition Classes
    AnyRef → Any

  11. def finalize(): Unit

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

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

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    Definition Classes
    AnyRef → Any

  13. val globalMetrics: GlobalMetrics

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    Definition Classes
    MLLearner

  14. def hashCode(): Int

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    Definition Classes
    AnyRef → Any

  15. def initDataMeta(dataSet: DataBlock[LabeledData], param: RegTParam): RegTDataStore

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  16. def initParam(): Unit

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  17. final def isInstanceOf[T0]: Boolean

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    Definition Classes
    Any

  18. val model: GBDTModel

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

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    Definition Classes
    AnyRef

  20. final def notify(): Unit

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    Definition Classes
    AnyRef

  21. final def notifyAll(): Unit

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    Definition Classes
    AnyRef

  22. val param: GBDTParam

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

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    Definition Classes
    AnyRef

  24. def toString(): String

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    Definition Classes
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  25. def train(trainData: DataBlock[LabeledData], validationData: DataBlock[LabeledData]): MLModel

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    train GBDT model iteratively

    train GBDT model iteratively

    trainData

    : trainning data storage

    validationData

    : validation data storage

    returns

    : a learned model

    Definition Classes
    GBDTLearner → MLLearner

  26. def updateMetrics(controller: GBDTController): Unit

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  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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    @throws( ... )

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

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    Definition Classes
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    @throws( ... )

Inherited from MLLearner

Inherited from AnyRef

Inherited from Any

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