c

ml.combust.mleap.xgboost.runtime

XGBoostClassificationModel

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
  1. Public
  2. All

Instance Constructors

  1. new XGBoostClassificationModel(impl: XGBoostClassificationModelBase)

Value Members

  1. final def !=(arg0: Any): Boolean
    Definition Classes
    AnyRef → Any
  2. final def ##(): Int
    Definition Classes
    AnyRef → Any
  3. final def ==(arg0: Any): Boolean
    Definition Classes
    AnyRef → Any
  4. def apply(features: Vector): Double
    Definition Classes
    ClassificationModel
  5. final def asInstanceOf[T0]: T0
    Definition Classes
    Any
  6. def binaryClassificationModel: XGBoostBinaryClassificationModel
  7. def booster: Booster
  8. def clone(): AnyRef
    Attributes
    protected[lang]
    Definition Classes
    AnyRef
    Annotations
    @throws( ... ) @native() @HotSpotIntrinsicCandidate()
  9. final def eq(arg0: AnyRef): Boolean
    Definition Classes
    AnyRef
  10. final def getClass(): Class[_]
    Definition Classes
    AnyRef → Any
    Annotations
    @native() @HotSpotIntrinsicCandidate()
  11. val impl: XGBoostClassificationModelBase
  12. def inputSchema: StructType
    Definition Classes
    ProbabilisticClassificationModel → Model
  13. final def isInstanceOf[T0]: Boolean
    Definition Classes
    Any
  14. def multinomialClassificationModel: XGBoostMultinomialClassificationModel
  15. final def ne(arg0: AnyRef): Boolean
    Definition Classes
    AnyRef
  16. final def notify(): Unit
    Definition Classes
    AnyRef
    Annotations
    @native() @HotSpotIntrinsicCandidate()
  17. final def notifyAll(): Unit
    Definition Classes
    AnyRef
    Annotations
    @native() @HotSpotIntrinsicCandidate()
  18. val numClasses: Int
    Definition Classes
    XGBoostClassificationModel → ProbabilisticClassificationModel
  19. val numFeatures: Int
    Definition Classes
    XGBoostClassificationModel → ProbabilisticClassificationModel
  20. def outputSchema: StructType
    Definition Classes
    XGBoostClassificationModel → ProbabilisticClassificationModel → Model
  21. def predict(data: DMatrix): Double
  22. def predict(features: Vector): Double
    Definition Classes
    ProbabilisticClassificationModel → ClassificationModel
  23. def predictContrib(data: DMatrix): Seq[Double]
  24. def predictContrib(features: Vector): Seq[Double]
  25. def predictLeaf(data: DMatrix): Seq[Double]
  26. def predictLeaf(features: Vector): Seq[Double]
  27. def predictProbabilities(data: DMatrix): Vector
  28. def predictProbabilities(features: Vector): Vector
    Definition Classes
    XGBoostClassificationModel → ProbabilisticClassificationModel
  29. def predictRaw(data: DMatrix): Vector
  30. def predictRaw(features: Vector): Vector
    Definition Classes
    XGBoostClassificationModel → ClassificationModel
  31. def predictWithProbability(features: Vector): (Double, Double)
    Definition Classes
    ProbabilisticClassificationModel
  32. def probabilityToPrediction(probability: Vector): Double
    Definition Classes
    ProbabilisticClassificationModel
  33. def probabilityToPredictionIndex(probability: Vector): Int
    Definition Classes
    ProbabilisticClassificationModel
  34. def rawToPrediction(raw: Vector): Double
    Definition Classes
    ProbabilisticClassificationModel
  35. def rawToProbability(raw: Vector): Vector
    Definition Classes
    ProbabilisticClassificationModel
  36. def rawToProbabilityInPlace(raw: Vector): Vector
    Definition Classes
    XGBoostClassificationModel → ProbabilisticClassificationModel
  37. final def synchronized[T0](arg0: ⇒ T0): T0
    Definition Classes
    AnyRef
  38. def thresholds: Option[Array[Double]]
    Definition Classes
    ProbabilisticClassificationModel
  39. def treeLimit: Int
  40. final def wait(arg0: Long, arg1: Int): Unit
    Definition Classes
    AnyRef
    Annotations
    @throws( ... )
  41. final def wait(arg0: Long): Unit
    Definition Classes
    AnyRef
    Annotations
    @throws( ... ) @native()
  42. final def wait(): Unit
    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

Deprecated Value Members

  1. def finalize(): Unit
    Attributes
    protected[lang]
    Definition Classes
    AnyRef
    Annotations
    @throws( classOf[java.lang.Throwable] ) @Deprecated
    Deprecated

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

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