GradientBoostedTreesModel

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

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

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3. final def ##(): Int

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4. final def ==(arg0: AnyRef): Boolean

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

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6. final def asInstanceOf[T0]: T0

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7. def clone(): AnyRef

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

   :: 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

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

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   @Since( "1.4.0" ) @DeveloperApi()

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

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11. def finalize(): Unit

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

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14. final def isInstanceOf[T0]: Boolean

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

    sc

    Spark context used for loading model files.

    path

    Path specifying the directory to which the model was saved.

    returns

    Model instance

    Definition Classes

    GradientBoostedTreesModel → Loader

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    @Since( "1.3.0" )

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

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17. final def notify(): Unit

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18. final def notifyAll(): Unit

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

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20. def toString(): String

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

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

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

    returns

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

    Annotations

    @Since( "1.4.0" ) @DeveloperApi()

22. final def wait(): Unit

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

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

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