ml.combust.mleap.xgboost

XGBoostBinaryClassificationModel

case class XGBoostBinaryClassificationModel(predictor: Predictor, booster: Option[Array[Byte]], numFeatures: Int, outputMargin: Boolean) extends XGBoostClassificationModelBase with Product with Serializable

Linear Supertypes
Serializable, Serializable, Product, Equals, XGBoostClassificationModelBase, ProbabilisticClassificationModel, ClassificationModel, Model, AnyRef, Any
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Inherited
  1. XGBoostBinaryClassificationModel
  2. Serializable
  3. Serializable
  4. Product
  5. Equals
  6. XGBoostClassificationModelBase
  7. ProbabilisticClassificationModel
  8. ClassificationModel
  9. Model
  10. AnyRef
  11. Any
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Instance Constructors

  1. new XGBoostBinaryClassificationModel(predictor: Predictor, booster: Option[Array[Byte]], numFeatures: Int, outputMargin: Boolean)

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. def apply(features: Vector): Double

    Definition Classes
    ClassificationModel

  7. final def asInstanceOf[T0]: T0

    Definition Classes
    Any

  8. val booster: Option[Array[Byte]]

    Definition Classes
    XGBoostBinaryClassificationModel → XGBoostClassificationModelBase

  9. def clone(): AnyRef

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

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

    Definition Classes
    AnyRef

  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 inputSchema: StructType

    Definition Classes
    ProbabilisticClassificationModel → Model

  14. final def isInstanceOf[T0]: Boolean

    Definition Classes
    Any

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

    Definition Classes
    AnyRef

  16. final def notify(): Unit

    Definition Classes
    AnyRef

  17. final def notifyAll(): Unit

    Definition Classes
    AnyRef

  18. val numClasses: Int

    Definition Classes
    XGBoostBinaryClassificationModel → ProbabilisticClassificationModel

  19. val numFeatures: Int

    Definition Classes
    XGBoostBinaryClassificationModel → ProbabilisticClassificationModel

  20. val outputMargin: Boolean

    Definition Classes
    XGBoostBinaryClassificationModel → XGBoostClassificationModelBase

  21. def outputSchema: StructType

    Definition Classes
    ProbabilisticClassificationModel → Model

  22. def predict(features: Vector): Double

    Definition Classes
    ProbabilisticClassificationModel → ClassificationModel

  23. def predictProbabilities(features: Vector): Vector

    Definition Classes
    ProbabilisticClassificationModel

  24. def predictRaw(features: Vector): Vector

    Definition Classes
    XGBoostBinaryClassificationModel → ProbabilisticClassificationModel

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

    Definition Classes
    ProbabilisticClassificationModel

  26. val predictor: Predictor

    Definition Classes
    XGBoostBinaryClassificationModel → XGBoostClassificationModelBase

  27. def probabilityToPrediction(probability: Vector): Double

    Definition Classes
    ProbabilisticClassificationModel

  28. def probabilityToPredictionIndex(probability: Vector): Int

    Definition Classes
    ProbabilisticClassificationModel

  29. def rawToPrediction(raw: Vector): Double

    Definition Classes
    ProbabilisticClassificationModel

  30. def rawToProbability(raw: Vector): Vector

    Definition Classes
    ProbabilisticClassificationModel

  31. def rawToProbabilityInPlace(raw: Vector): Vector

    Definition Classes
    XGBoostBinaryClassificationModel → ProbabilisticClassificationModel

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

    Definition Classes
    AnyRef

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

    Definition Classes
    ProbabilisticClassificationModel

  34. final def wait(): Unit

    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

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

    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

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

    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

Inherited from Serializable

Inherited from Serializable

Inherited from Product

Inherited from Equals

Inherited from XGBoostClassificationModelBase

Inherited from ProbabilisticClassificationModel

Inherited from ClassificationModel

Inherited from Model

Inherited from AnyRef

Inherited from Any

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