Class

ml.combust.mleap.xgboost.runtime

XGBoostPredictorMultinomialClassificationModel

Related Doc: package runtime

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case class XGBoostPredictorMultinomialClassificationModel(predictor: Predictor, numClasses: Int, numFeatures: Int, treeLimit: Int) extends XGBoostPredictorClassificationModelBase with Product with Serializable

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

  1. new XGBoostPredictorMultinomialClassificationModel(predictor: Predictor, numClasses: Int, 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. 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 finalize(): Unit

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

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

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    Definition Classes
    AnyRef → Any

  10. def inputSchema: StructType

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    Definition Classes
    ProbabilisticClassificationModel → Model

  11. final def isInstanceOf[T0]: Boolean

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    Definition Classes
    Any

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

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    Definition Classes
    AnyRef

  13. final def notify(): Unit

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    Definition Classes
    AnyRef

  14. final def notifyAll(): Unit

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    Definition Classes
    AnyRef

  15. val numClasses: Int

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    Definition Classes
    XGBoostPredictorMultinomialClassificationModel → ProbabilisticClassificationModel

  16. val numFeatures: Int

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    Definition Classes
    XGBoostPredictorMultinomialClassificationModel → ProbabilisticClassificationModel

  17. def outputSchema: StructType

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    Definition Classes
    ProbabilisticClassificationModel → Model

  18. def predict(data: FVec): Double

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    Definition Classes
    XGBoostPredictorMultinomialClassificationModel → XGBoostPredictorClassificationModelBase

  19. def predict(features: Vector): Double

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    Definition Classes
    XGBoostPredictorClassificationModelBase → ProbabilisticClassificationModel → ClassificationModel

  20. def predictLeaf(data: FVec): Seq[Double]

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    Definition Classes
    XGBoostPredictorClassificationModelBase

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

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    Definition Classes
    XGBoostPredictorClassificationModelBase

  22. def predictProbabilities(data: FVec): Vector

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    Definition Classes
    XGBoostPredictorMultinomialClassificationModel → XGBoostPredictorClassificationModelBase

  23. def predictProbabilities(features: Vector): Vector

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    Definition Classes
    XGBoostPredictorClassificationModelBase → ProbabilisticClassificationModel

  24. def predictRaw(data: FVec): Vector

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    Definition Classes
    XGBoostPredictorMultinomialClassificationModel → XGBoostPredictorClassificationModelBase

  25. def predictRaw(features: Vector): Vector

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    Definition Classes
    XGBoostPredictorClassificationModelBase → ClassificationModel

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

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    Definition Classes
    ProbabilisticClassificationModel

  27. val predictor: Predictor

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    Definition Classes
    XGBoostPredictorMultinomialClassificationModel → XGBoostPredictorClassificationModelBase

  28. def probabilityToPrediction(probability: Vector): Double

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    Definition Classes
    ProbabilisticClassificationModel

  29. def probabilityToPredictionIndex(probability: Vector): Int

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    Definition Classes
    ProbabilisticClassificationModel

  30. def rawToPrediction(raw: Vector): Double

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    Definition Classes
    ProbabilisticClassificationModel

  31. def rawToProbability(raw: Vector): Vector

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    Definition Classes
    ProbabilisticClassificationModel

  32. def rawToProbabilityInPlace(raw: Vector): Vector

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    Definition Classes
    XGBoostPredictorMultinomialClassificationModel → ProbabilisticClassificationModel

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

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    Definition Classes
    AnyRef

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

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    Definition Classes
    ProbabilisticClassificationModel

  35. val treeLimit: Int

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    Definition Classes
    XGBoostPredictorMultinomialClassificationModel → XGBoostPredictorClassificationModelBase

  36. final def wait(): Unit

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    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

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

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    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

  38. 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 XGBoostPredictorClassificationModelBase

Inherited from ProbabilisticClassificationModel

Inherited from ClassificationModel

Inherited from Model

Inherited from AnyRef

Inherited from Any

Ungrouped