t

ml.combust.mleap.xgboost.runtime

XGBoostClassificationModelBase

trait XGBoostClassificationModelBase extends ProbabilisticClassificationModel

Linear Supertypes
ProbabilisticClassificationModel, ClassificationModel, Model, AnyRef, Any
Known Subclasses
XGBoostBinaryClassificationModel, XGBoostMultinomialClassificationModel
Ordering
  1. Alphabetic
  2. By Inheritance
Inherited
  1. XGBoostClassificationModelBase
  2. ProbabilisticClassificationModel
  3. ClassificationModel
  4. Model
  5. AnyRef
  6. Any
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Visibility
  1. Public
  2. All

Abstract Value Members

  1. abstract def booster: Booster
  2. abstract val numClasses: Int
    Definition Classes
    ProbabilisticClassificationModel
  3. abstract val numFeatures: Int
    Definition Classes
    ProbabilisticClassificationModel
  4. abstract def predict(data: DMatrix): Double
  5. abstract def predictProbabilities(data: DMatrix): Vector
  6. abstract def predictRaw(data: DMatrix): Vector
  7. abstract def rawToProbabilityInPlace(raw: Vector): Vector
    Definition Classes
    ProbabilisticClassificationModel
  8. abstract def treeLimit: Int

Concrete 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 clone(): AnyRef
    Attributes
    protected[lang]
    Definition Classes
    AnyRef
    Annotations
    @throws( ... ) @native()
  7. final def eq(arg0: AnyRef): Boolean
    Definition Classes
    AnyRef
  8. def equals(arg0: Any): Boolean
    Definition Classes
    AnyRef → Any
  9. def finalize(): Unit
    Attributes
    protected[lang]
    Definition Classes
    AnyRef
    Annotations
    @throws( classOf[java.lang.Throwable] )
  10. final def getClass(): Class[_]
    Definition Classes
    AnyRef → Any
    Annotations
    @native()
  11. def hashCode(): Int
    Definition Classes
    AnyRef → Any
    Annotations
    @native()
  12. def inputSchema: StructType
    Definition Classes
    ProbabilisticClassificationModel → Model
  13. final def isInstanceOf[T0]: Boolean
    Definition Classes
    Any
  14. final def ne(arg0: AnyRef): Boolean
    Definition Classes
    AnyRef
  15. final def notify(): Unit
    Definition Classes
    AnyRef
    Annotations
    @native()
  16. final def notifyAll(): Unit
    Definition Classes
    AnyRef
    Annotations
    @native()
  17. def outputSchema: StructType
    Definition Classes
    ProbabilisticClassificationModel → Model
  18. def predict(features: Vector): Double
    Definition Classes
    XGBoostClassificationModelBase → ProbabilisticClassificationModel → ClassificationModel
  19. def predictContrib(data: DMatrix): Seq[Double]
  20. def predictContrib(features: Vector): Seq[Double]
  21. def predictLeaf(data: DMatrix): Seq[Double]
  22. def predictLeaf(features: Vector): Seq[Double]
  23. def predictProbabilities(features: Vector): Vector
    Definition Classes
    XGBoostClassificationModelBase → ProbabilisticClassificationModel
  24. def predictRaw(features: Vector): Vector
    Definition Classes
    XGBoostClassificationModelBase → ClassificationModel
  25. def predictWithProbability(features: Vector): (Double, Double)
    Definition Classes
    ProbabilisticClassificationModel
  26. def probabilityToPrediction(probability: Vector): Double
    Definition Classes
    ProbabilisticClassificationModel
  27. def probabilityToPredictionIndex(probability: Vector): Int
    Definition Classes
    ProbabilisticClassificationModel
  28. def rawToPrediction(raw: Vector): Double
    Definition Classes
    ProbabilisticClassificationModel
  29. def rawToProbability(raw: Vector): Vector
    Definition Classes
    ProbabilisticClassificationModel
  30. final def synchronized[T0](arg0: ⇒ T0): T0
    Definition Classes
    AnyRef
  31. def thresholds: Option[Array[Double]]
    Definition Classes
    ProbabilisticClassificationModel
  32. def toString(): String
    Definition Classes
    AnyRef → Any
  33. final def wait(): Unit
    Definition Classes
    AnyRef
    Annotations
    @throws( ... )
  34. final def wait(arg0: Long, arg1: Int): Unit
    Definition Classes
    AnyRef
    Annotations
    @throws( ... )
  35. final def wait(arg0: Long): Unit
    Definition Classes
    AnyRef
    Annotations
    @throws( ... ) @native()

Inherited from ProbabilisticClassificationModel

Inherited from ClassificationModel

Inherited from Model

Inherited from AnyRef

Inherited from Any

Ungrouped