Value Members

1.  final def !=(arg0: Any): Boolean

   Definition Classes

   AnyRef → Any

2.  final def ##(): Int

   Definition Classes

   AnyRef → Any

3.  final def ==(arg0: Any): Boolean

   Definition Classes

   AnyRef → Any

4.  def apply(features: Vector): Double

   Definition Classes

   ClassificationModel

5.  final def asInstanceOf[T0]: T0

   Definition Classes

   Any

6.  def binaryClassificationModel: XGBoostPredictorBinaryClassificationModel
7.  def clone(): AnyRef

   Attributes

   protected[lang]

   Definition Classes

   AnyRef

   Annotations

   @throws( ... ) @native()

8.  final def eq(arg0: AnyRef): Boolean

   Definition Classes

   AnyRef

9.  def finalize(): Unit

   Attributes

   protected[lang]

   Definition Classes

   AnyRef

   Annotations

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

10.  final def getClass(): Class[_]

    Definition Classes

    AnyRef → Any

    Annotations

    @native()

11.  val impl: XGBoostPredictorClassificationModelBase
12.  def inputSchema: StructType

    Definition Classes

    ProbabilisticClassificationModel → Model

13.  final def isInstanceOf[T0]: Boolean

    Definition Classes

    Any

14.  def multinomialClassificationModel: XGBoostPredictorMultinomialClassificationModel
15.  final def ne(arg0: AnyRef): Boolean

    Definition Classes

    AnyRef

16.  final def notify(): Unit

    Definition Classes

    AnyRef

    Annotations

    @native()

17.  final def notifyAll(): Unit

    Definition Classes

    AnyRef

    Annotations

    @native()

18.  val numClasses: Int

    Definition Classes

    XGBoostPredictorClassificationModel → ProbabilisticClassificationModel

19.  val numFeatures: Int

    Definition Classes

    XGBoostPredictorClassificationModel → ProbabilisticClassificationModel

20.  def outputSchema: StructType

    Definition Classes

    XGBoostPredictorClassificationModel → ProbabilisticClassificationModel → Model

21.  def predict(data: FVec): Double
22.  def predict(features: Vector): Double

    Definition Classes

    ProbabilisticClassificationModel → ClassificationModel

23.  def predictLeaf(data: FVec): Seq[Double]
24.  def predictLeaf(features: Vector): Seq[Double]
25.  def predictProbabilities(data: FVec): Vector
26.  def predictProbabilities(features: Vector): Vector

    Definition Classes

    XGBoostPredictorClassificationModel → ProbabilisticClassificationModel

27.  def predictRaw(data: FVec): Vector
28.  def predictRaw(features: Vector): Vector

    Definition Classes

    XGBoostPredictorClassificationModel → ClassificationModel

29.  def predictWithProbability(features: Vector): (Double, Double)

    Definition Classes

    ProbabilisticClassificationModel

30.  def predictor: Predictor
31.  def probabilityToPrediction(probability: Vector): Double

    Definition Classes

    ProbabilisticClassificationModel

32.  def probabilityToPredictionIndex(probability: Vector): Int

    Definition Classes

    ProbabilisticClassificationModel

33.  def rawToPrediction(raw: Vector): Double

    Definition Classes

    ProbabilisticClassificationModel

34.  def rawToProbability(raw: Vector): Vector

    Definition Classes

    ProbabilisticClassificationModel

35.  def rawToProbabilityInPlace(raw: Vector): Vector

    Definition Classes

    XGBoostPredictorClassificationModel → ProbabilisticClassificationModel

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

    Definition Classes

    AnyRef

37.  def thresholds: Option[Array[Double]]

    Definition Classes

    ProbabilisticClassificationModel

38.  def treeLimit: Int
39.  final def wait(): Unit

    Definition Classes

    AnyRef

    Annotations

    @throws( ... )

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

    Definition Classes

    AnyRef

    Annotations

    @throws( ... )

41.  final def wait(arg0: Long): Unit

    Definition Classes

    AnyRef

    Annotations

    @throws( ... ) @native()