Trait

ml.combust.mleap.xgboost.runtime

XGBoostClassificationModelBase

Related Doc: package runtime

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trait XGBoostClassificationModelBase extends ProbabilisticClassificationModel

Linear Supertypes
ProbabilisticClassificationModel, ClassificationModel, Model, AnyRef, Any
Known Subclasses
XGBoostBinaryClassificationModel, XGBoostMultinomialClassificationModel
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Inherited
  1. XGBoostClassificationModelBase
  2. ProbabilisticClassificationModel
  3. ClassificationModel
  4. Model
  5. AnyRef
  6. Any
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Visibility
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Abstract Value Members

  1. abstract def booster: Booster

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  2. abstract val numClasses: Int

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    Definition Classes
    ProbabilisticClassificationModel

  3. abstract val numFeatures: Int

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    Definition Classes
    ProbabilisticClassificationModel

  4. abstract def predict(data: DMatrix): Double

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  5. abstract def predictProbabilities(data: DMatrix): Vector

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  6. abstract def predictRaw(data: DMatrix): Vector

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  7. abstract def rawToProbabilityInPlace(raw: Vector): Vector

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    Definition Classes
    ProbabilisticClassificationModel

  8. abstract def treeLimit: Int

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Concrete 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 clone(): AnyRef

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

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

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    Definition Classes
    AnyRef

  8. def equals(arg0: Any): Boolean

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    Definition Classes
    AnyRef → Any

  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 hashCode(): Int

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    Definition Classes
    AnyRef → Any

  12. def inputSchema: StructType

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    Definition Classes
    ProbabilisticClassificationModel → Model

  13. final def isInstanceOf[T0]: Boolean

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    Definition Classes
    Any

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

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    Definition Classes
    AnyRef

  15. final def notify(): Unit

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    Definition Classes
    AnyRef

  16. final def notifyAll(): Unit

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    Definition Classes
    AnyRef

  17. def outputSchema: StructType

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    Definition Classes
    ProbabilisticClassificationModel → Model

  18. def predict(features: Vector): Double

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    Definition Classes
    XGBoostClassificationModelBase → ProbabilisticClassificationModel → ClassificationModel

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

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

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

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

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  23. def predictProbabilities(features: Vector): Vector

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    Definition Classes
    XGBoostClassificationModelBase → ProbabilisticClassificationModel

  24. def predictRaw(features: Vector): Vector

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    Definition Classes
    XGBoostClassificationModelBase → ProbabilisticClassificationModel

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

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    Definition Classes
    ProbabilisticClassificationModel

  26. def probabilityToPrediction(probability: Vector): Double

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    Definition Classes
    ProbabilisticClassificationModel

  27. def probabilityToPredictionIndex(probability: Vector): Int

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    Definition Classes
    ProbabilisticClassificationModel

  28. def rawToPrediction(raw: Vector): Double

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    Definition Classes
    ProbabilisticClassificationModel

  29. def rawToProbability(raw: Vector): Vector

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    Definition Classes
    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. def toString(): String

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    Definition Classes
    AnyRef → Any

  33. final def wait(): Unit

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    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

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

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    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

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

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    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

Inherited from ProbabilisticClassificationModel

Inherited from ClassificationModel

Inherited from Model

Inherited from AnyRef

Inherited from Any

Ungrouped