GradientBoostedTreesModel

Value Members

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

   Definition Classes

   AnyRef

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

   Definition Classes

   Any

3. final def ##(): Int

   Definition Classes

   AnyRef → Any

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

   Definition Classes

   AnyRef

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

   Definition Classes

   Any

6. final def asInstanceOf[T0]: T0

   Definition Classes

   Any

7. def clone(): AnyRef

   Attributes

   protected[java.lang]

   Definition Classes

   AnyRef

   Annotations

   @throws( ... )

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

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

   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.

   Annotations

   @Since( "1.4.0" )

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

   Definition Classes

   AnyRef

10. def equals(arg0: Any): Boolean

    Definition Classes

    AnyRef → Any

11. def finalize(): Unit

    Attributes

    protected[java.lang]

    Definition Classes

    AnyRef

    Annotations

    @throws( classOf[java.lang.Throwable] )

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

    Definition Classes

    AnyRef → Any

13. def hashCode(): Int

    Definition Classes

    AnyRef → Any

14. final def isInstanceOf[T0]: Boolean

    Definition Classes

    Any

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

    Annotations

    @Since( "1.3.0" )

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

    Definition Classes

    AnyRef

17. final def notify(): Unit

    Definition Classes

    AnyRef

18. final def notifyAll(): Unit

    Definition Classes

    AnyRef

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

    Definition Classes

    AnyRef

20. def toString(): String

    Definition Classes

    AnyRef → Any

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

    Update a zipped predictionError RDD (as obtained with computeInitialPredictionAndError)

    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" )

22. final def wait(): Unit

    Definition Classes

    AnyRef

    Annotations

    @throws( ... )

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

    Definition Classes

    AnyRef

    Annotations

    @throws( ... )

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

    Definition Classes

    AnyRef

    Annotations

    @throws( ... )