Object/Trait

water.support

GBMSupport

Related Docs: trait GBMSupport | package support

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object GBMSupport extends GBMSupport

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

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  2. final def ##(): Int

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

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  4. def GBMModel[T <: Frame](train: T, test: T, response: String, modelId: String = "model", ntrees: Int = 50, depth: Int = 6, family: DistributionFamily = DistributionFamily.AUTO): GBMModel

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    Create Gradient Boosting Model for the basic usage.

    Create Gradient Boosting Model for the basic usage. This method exposes the basic configuration of the model. If you need to specify some arguments which are not exposed, please use the DeepLearning model via Sparkling Water pipelines API or using the raw java API

    T

    H2O Frame Type

    train

    frame to train

    test

    test frame

    response

    response column

    modelId

    name of the model

    ntrees

    number of trees

    depth

    depth

    family

    distribution family

    returns

    Gradient Boosting Model

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    GBMSupport
  5. final def asInstanceOf[T0]: T0

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  6. def clone(): AnyRef

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  8. def equals(arg0: Any): Boolean

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  9. def finalize(): Unit

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

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  11. def hashCode(): Int

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  12. final def isInstanceOf[T0]: Boolean

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

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  14. final def notify(): Unit

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  15. final def notifyAll(): Unit

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

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  17. def toString(): String

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  18. final def wait(): Unit

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

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

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Inherited from GBMSupport

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