Class

ml.combust.mleap.xgboost

XGBoostClassificationModel

Related Doc: package xgboost

Permalink

case class XGBoostClassificationModel(impl: XGBoostClassificationModelBase) extends ProbabilisticClassificationModel with Product with Serializable

Linear Supertypes
Serializable, Serializable, Product, Equals, ProbabilisticClassificationModel, ClassificationModel, Model, AnyRef, Any
Ordering
  1. Alphabetic
  2. By Inheritance
Inherited
  1. XGBoostClassificationModel
  2. Serializable
  3. Serializable
  4. Product
  5. Equals
  6. ProbabilisticClassificationModel
  7. ClassificationModel
  8. Model
  9. AnyRef
  10. Any
  1. Hide All
  2. Show All
Visibility
  1. Public
  2. All

Instance Constructors

  1. new XGBoostClassificationModel(impl: XGBoostClassificationModelBase)

    Permalink

Value Members

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

    Permalink
    Definition Classes
    AnyRef → Any

  2. final def ##(): Int

    Permalink
    Definition Classes
    AnyRef → Any

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

    Permalink
    Definition Classes
    AnyRef → Any

  4. def apply(features: Vector): Double

    Permalink
    Definition Classes
    ClassificationModel

  5. final def asInstanceOf[T0]: T0

    Permalink
    Definition Classes
    Any

  6. def binaryClassificationModel: XGBoostBinaryClassificationModel

    Permalink

  7. def booster: Option[Array[Byte]]

    Permalink

  8. def clone(): AnyRef

    Permalink
    Attributes
    protected[java.lang]
    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

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

    Permalink
    Definition Classes
    AnyRef

  10. def finalize(): Unit

    Permalink
    Attributes
    protected[java.lang]
    Definition Classes
    AnyRef
    Annotations
    @throws( classOf[java.lang.Throwable] )

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

    Permalink
    Definition Classes
    AnyRef → Any

  12. val impl: XGBoostClassificationModelBase

    Permalink

  13. def inputSchema: StructType

    Permalink
    Definition Classes
    ProbabilisticClassificationModel → Model

  14. final def isInstanceOf[T0]: Boolean

    Permalink
    Definition Classes
    Any

  15. def multinomialClassificationModel: XGBoostMultinomialClassificationModel

    Permalink

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

    Permalink
    Definition Classes
    AnyRef

  17. final def notify(): Unit

    Permalink
    Definition Classes
    AnyRef

  18. final def notifyAll(): Unit

    Permalink
    Definition Classes
    AnyRef

  19. val numClasses: Int

    Permalink
    Definition Classes
    XGBoostClassificationModel → ProbabilisticClassificationModel

  20. val numFeatures: Int

    Permalink
    Definition Classes
    XGBoostClassificationModel → ProbabilisticClassificationModel

  21. def outputMargin: Boolean

    Permalink

  22. def outputSchema: StructType

    Permalink
    Definition Classes
    ProbabilisticClassificationModel → Model

  23. def predict(features: Vector): Double

    Permalink
    Definition Classes
    ProbabilisticClassificationModel → ClassificationModel

  24. def predictProbabilities(features: Vector): Vector

    Permalink
    Definition Classes
    ProbabilisticClassificationModel

  25. def predictRaw(features: Vector): Vector

    Permalink
    Definition Classes
    XGBoostClassificationModel → ProbabilisticClassificationModel

  26. def predictWithProbability(features: Vector): (Double, Double)

    Permalink
    Definition Classes
    ProbabilisticClassificationModel

  27. def probabilityToPrediction(probability: Vector): Double

    Permalink
    Definition Classes
    ProbabilisticClassificationModel

  28. def probabilityToPredictionIndex(probability: Vector): Int

    Permalink
    Definition Classes
    ProbabilisticClassificationModel

  29. def rawToPrediction(raw: Vector): Double

    Permalink
    Definition Classes
    ProbabilisticClassificationModel

  30. def rawToProbability(raw: Vector): Vector

    Permalink
    Definition Classes
    ProbabilisticClassificationModel

  31. def rawToProbabilityInPlace(raw: Vector): Vector

    Permalink
    Definition Classes
    XGBoostClassificationModel → ProbabilisticClassificationModel

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

    Permalink
    Definition Classes
    AnyRef

  33. def thresholds: Option[Array[Double]]

    Permalink
    Definition Classes
    ProbabilisticClassificationModel

  34. final def wait(): Unit

    Permalink
    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

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

    Permalink
    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

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

    Permalink
    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

Inherited from Serializable

Inherited from Serializable

Inherited from Product

Inherited from Equals

Inherited from ProbabilisticClassificationModel

Inherited from ClassificationModel

Inherited from Model

Inherited from AnyRef

Inherited from Any

Ungrouped