Class

ml.combust.mleap.xgboost.runtime

XGBoostClassificationModel

Related Doc: package runtime

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

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

  1. new XGBoostClassificationModel(impl: XGBoostClassificationModelBase)

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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. def binaryClassificationModel: XGBoostBinaryClassificationModel

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  7. def booster: Booster

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  8. def clone(): AnyRef

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

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

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    Definition Classes
    AnyRef

  10. def finalize(): Unit

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

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

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    Definition Classes
    AnyRef → Any

  12. val impl: XGBoostClassificationModelBase

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  13. def inputSchema: StructType

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    Definition Classes
    ProbabilisticClassificationModel → Model

  14. final def isInstanceOf[T0]: Boolean

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    Definition Classes
    Any

  15. def multinomialClassificationModel: XGBoostMultinomialClassificationModel

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

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    Definition Classes
    AnyRef

  17. final def notify(): Unit

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    Definition Classes
    AnyRef

  18. final def notifyAll(): Unit

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    Definition Classes
    AnyRef

  19. val numClasses: Int

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    Definition Classes
    XGBoostClassificationModel → ProbabilisticClassificationModel

  20. val numFeatures: Int

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    Definition Classes
    XGBoostClassificationModel → ProbabilisticClassificationModel

  21. def outputSchema: StructType

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    Definition Classes
    XGBoostClassificationModel → ProbabilisticClassificationModel → Model

  22. def predict(data: DMatrix): Double

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  23. def predict(features: Vector): Double

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    Definition Classes
    ProbabilisticClassificationModel → ClassificationModel

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

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

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

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

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  28. def predictProbabilities(data: DMatrix): Vector

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  29. def predictProbabilities(features: Vector): Vector

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    Definition Classes
    XGBoostClassificationModel → ProbabilisticClassificationModel

  30. def predictRaw(data: DMatrix): Vector

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  31. def predictRaw(features: Vector): Vector

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    Definition Classes
    XGBoostClassificationModel → ProbabilisticClassificationModel

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

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    Definition Classes
    ProbabilisticClassificationModel

  33. def probabilityToPrediction(probability: Vector): Double

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    Definition Classes
    ProbabilisticClassificationModel

  34. def probabilityToPredictionIndex(probability: Vector): Int

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    Definition Classes
    ProbabilisticClassificationModel

  35. def rawToPrediction(raw: Vector): Double

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    Definition Classes
    ProbabilisticClassificationModel

  36. def rawToProbability(raw: Vector): Vector

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    Definition Classes
    ProbabilisticClassificationModel

  37. def rawToProbabilityInPlace(raw: Vector): Vector

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    Definition Classes
    XGBoostClassificationModel → ProbabilisticClassificationModel

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

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    Definition Classes
    AnyRef

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

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    Definition Classes
    ProbabilisticClassificationModel

  40. def treeLimit: Int

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  41. final def wait(): Unit

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    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

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

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    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

  43. 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 ProbabilisticClassificationModel

Inherited from ClassificationModel

Inherited from Model

Inherited from AnyRef

Inherited from Any

Ungrouped