Class

ml.combust.mleap.xgboost.runtime

XGBoostBinaryClassificationModel

Related Doc: package runtime

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case class XGBoostBinaryClassificationModel(booster: Booster, numFeatures: Int, treeLimit: Int) 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(booster: Booster, numFeatures: Int, treeLimit: Int)

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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: Booster

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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. def outputSchema: StructType

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    Definition Classes
    ProbabilisticClassificationModel → Model

  19. def predict(data: DMatrix): Double

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    Definition Classes
    XGBoostBinaryClassificationModel → XGBoostClassificationModelBase

  20. def predict(features: Vector): Double

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    Definition Classes
    XGBoostClassificationModelBase → ProbabilisticClassificationModel → ClassificationModel

  21. def predictContrib(data: DMatrix): Seq[Double]

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    Definition Classes
    XGBoostClassificationModelBase

  22. def predictContrib(features: Vector): Seq[Double]

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    Definition Classes
    XGBoostClassificationModelBase

  23. def predictLeaf(data: DMatrix): Seq[Double]

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    Definition Classes
    XGBoostClassificationModelBase

  24. def predictLeaf(features: Vector): Seq[Double]

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    Definition Classes
    XGBoostClassificationModelBase

  25. def predictProbabilities(data: DMatrix): Vector

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    Definition Classes
    XGBoostBinaryClassificationModel → XGBoostClassificationModelBase

  26. def predictProbabilities(features: Vector): Vector

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    Definition Classes
    XGBoostClassificationModelBase → ProbabilisticClassificationModel

  27. def predictRaw(data: DMatrix): Vector

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    Definition Classes
    XGBoostBinaryClassificationModel → XGBoostClassificationModelBase

  28. def predictRaw(features: Vector): Vector

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    Definition Classes
    XGBoostClassificationModelBase → ProbabilisticClassificationModel

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

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    Definition Classes
    ProbabilisticClassificationModel

  30. def probabilityToPrediction(probability: Vector): Double

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    Definition Classes
    ProbabilisticClassificationModel

  31. def probabilityToPredictionIndex(probability: Vector): Int

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    Definition Classes
    ProbabilisticClassificationModel

  32. def rawToPrediction(raw: Vector): Double

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    Definition Classes
    ProbabilisticClassificationModel

  33. def rawToProbability(raw: Vector): Vector

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    Definition Classes
    ProbabilisticClassificationModel

  34. def rawToProbabilityInPlace(raw: Vector): Vector

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    Definition Classes
    XGBoostBinaryClassificationModel → ProbabilisticClassificationModel

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

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    Definition Classes
    AnyRef

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

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    Definition Classes
    ProbabilisticClassificationModel

  37. val treeLimit: Int

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    Definition Classes
    XGBoostBinaryClassificationModel → XGBoostClassificationModelBase

  38. final def wait(): Unit

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    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

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

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    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

  40. 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

Ungrouped