Class

ml.combust.mleap.xgboost

XGBoostBinaryClassificationModel

Related Doc: package xgboost

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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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Visibility
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Instance Constructors

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

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Value Members

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

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    Definition Classes
    AnyRef → Any

  2. final def ##(): Int

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    Definition Classes
    AnyRef → Any

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

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    Definition Classes
    AnyRef → Any

  4. def apply(features: Vector): Double

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    Definition Classes
    ClassificationModel

  5. final def asInstanceOf[T0]: T0

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    Definition Classes
    Any

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

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    Definition Classes
    XGBoostBinaryClassificationModel → XGBoostClassificationModelBase

  7. def clone(): AnyRef

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

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

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    Definition Classes
    AnyRef

  9. def finalize(): Unit

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

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

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    Definition Classes
    AnyRef → Any

  11. def inputSchema: StructType

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    Definition Classes
    ProbabilisticClassificationModel → Model

  12. final def isInstanceOf[T0]: Boolean

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    Definition Classes
    Any

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

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    Definition Classes
    AnyRef

  14. final def notify(): Unit

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    Definition Classes
    AnyRef

  15. final def notifyAll(): Unit

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    Definition Classes
    AnyRef

  16. val numClasses: Int

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    Definition Classes
    XGBoostBinaryClassificationModel → ProbabilisticClassificationModel

  17. val numFeatures: Int

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    Definition Classes
    XGBoostBinaryClassificationModel → ProbabilisticClassificationModel

  18. val outputMargin: Boolean

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    Definition Classes
    XGBoostBinaryClassificationModel → XGBoostClassificationModelBase

  19. def outputSchema: StructType

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    Definition Classes
    ProbabilisticClassificationModel → Model

  20. def predict(features: Vector): Double

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    Definition Classes
    ProbabilisticClassificationModel → ClassificationModel

  21. def predictProbabilities(features: Vector): Vector

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    Definition Classes
    ProbabilisticClassificationModel

  22. def predictRaw(features: Vector): Vector

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    Definition Classes
    XGBoostBinaryClassificationModel → ProbabilisticClassificationModel

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

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    Definition Classes
    ProbabilisticClassificationModel

  24. val predictor: Predictor

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    Definition Classes
    XGBoostBinaryClassificationModel → XGBoostClassificationModelBase

  25. def probabilityToPrediction(probability: Vector): Double

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    Definition Classes
    ProbabilisticClassificationModel

  26. def probabilityToPredictionIndex(probability: Vector): Int

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    Definition Classes
    ProbabilisticClassificationModel

  27. def rawToPrediction(raw: Vector): Double

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    Definition Classes
    ProbabilisticClassificationModel

  28. def rawToProbability(raw: Vector): Vector

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    Definition Classes
    ProbabilisticClassificationModel

  29. def rawToProbabilityInPlace(raw: Vector): Vector

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    Definition Classes
    XGBoostBinaryClassificationModel → ProbabilisticClassificationModel

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

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    Definition Classes
    AnyRef

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

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    Definition Classes
    ProbabilisticClassificationModel

  32. final def wait(): Unit

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    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

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

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    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

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

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    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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