Object/Class

org.apache.spark.mllib.tree.model

GradientBoostedTreesModel

Related Docs: class GradientBoostedTreesModel | package model

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object GradientBoostedTreesModel extends Loader[GradientBoostedTreesModel] with Serializable

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@Since( "1.3.0" )
Source
treeEnsembleModels.scala
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Serializable, Serializable, Loader[GradientBoostedTreesModel], AnyRef, Any
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  1. final def !=(arg0: Any): Boolean

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  2. final def ##(): Int

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  4. final def asInstanceOf[T0]: T0

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  5. def clone(): AnyRef

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  6. def computeInitialPredictionAndError(data: RDD[LabeledPoint], initTreeWeight: Double, initTree: DecisionTreeModel, loss: Loss): RDD[(Double, Double)]

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    :: DeveloperApi :: Compute the initial predictions and errors for a dataset for the first iteration of gradient boosting.

    :: DeveloperApi :: Compute the initial predictions and errors for a dataset for the first iteration of gradient boosting.

    returns

    an RDD with each element being a zip of the prediction and error corresponding to every sample.

    Annotations
    @Since( "1.4.0" ) @DeveloperApi()
  7. final def eq(arg0: AnyRef): Boolean

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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. def load(sc: SparkContext, path: String): GradientBoostedTreesModel

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    sc

    Spark context used for loading model files.

    path

    Path specifying the directory to which the model was saved.

    returns

    Model instance

    Definition Classes
    GradientBoostedTreesModelLoader
    Annotations
    @Since( "1.3.0" )
  14. final def ne(arg0: AnyRef): Boolean

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  15. final def notify(): Unit

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  16. final def notifyAll(): Unit

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

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  18. def toString(): String

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  19. def updatePredictionError(data: RDD[LabeledPoint], predictionAndError: RDD[(Double, Double)], treeWeight: Double, tree: DecisionTreeModel, loss: Loss): RDD[(Double, Double)]

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    :: DeveloperApi :: Update a zipped predictionError RDD (as obtained with computeInitialPredictionAndError)

    :: DeveloperApi :: Update a zipped predictionError RDD (as obtained with computeInitialPredictionAndError)

    returns

    an RDD with each element being a zip of the prediction and error corresponding to each sample.

    Annotations
    @Since( "1.4.0" ) @DeveloperApi()
  20. final def wait(): Unit

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

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

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