c

ml.combust.mleap.xgboost.runtime

XGBoostPredictorBinaryClassificationModel

case class XGBoostPredictorBinaryClassificationModel(predictor: Predictor, 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. XGBoostPredictorBinaryClassificationModel
  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
  1. Public
  2. All

Instance Constructors

  1. new XGBoostPredictorBinaryClassificationModel(predictor: Predictor, numFeatures: Int, treeLimit: Int)

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 finalize(): Unit
    Attributes
    protected[lang]
    Definition Classes
    AnyRef
    Annotations
    @throws( classOf[java.lang.Throwable] )
  9. final def getClass(): Class[_]
    Definition Classes
    AnyRef → Any
    Annotations
    @native()
  10. def inputSchema: StructType
    Definition Classes
    ProbabilisticClassificationModel → Model
  11. final def isInstanceOf[T0]: Boolean
    Definition Classes
    Any
  12. final def ne(arg0: AnyRef): Boolean
    Definition Classes
    AnyRef
  13. final def notify(): Unit
    Definition Classes
    AnyRef
    Annotations
    @native()
  14. final def notifyAll(): Unit
    Definition Classes
    AnyRef
    Annotations
    @native()
  15. val numClasses: Int
    Definition Classes
    XGBoostPredictorBinaryClassificationModel → ProbabilisticClassificationModel
  16. val numFeatures: Int
    Definition Classes
    XGBoostPredictorBinaryClassificationModel → ProbabilisticClassificationModel
  17. def outputSchema: StructType
    Definition Classes
    ProbabilisticClassificationModel → Model
  18. def predict(data: FVec): Double
    Definition Classes
    XGBoostPredictorBinaryClassificationModel → XGBoostPredictorClassificationModelBase
  19. def predict(features: Vector): Double
    Definition Classes
    XGBoostPredictorClassificationModelBase → ProbabilisticClassificationModel → ClassificationModel
  20. def predictLeaf(data: FVec): Seq[Double]
    Definition Classes
    XGBoostPredictorClassificationModelBase
  21. def predictLeaf(features: Vector): Seq[Double]
    Definition Classes
    XGBoostPredictorClassificationModelBase
  22. def predictProbabilities(data: FVec): Vector
    Definition Classes
    XGBoostPredictorBinaryClassificationModel → XGBoostPredictorClassificationModelBase
  23. def predictProbabilities(features: Vector): Vector
    Definition Classes
    XGBoostPredictorClassificationModelBase → ProbabilisticClassificationModel
  24. def predictRaw(data: FVec): Vector
    Definition Classes
    XGBoostPredictorBinaryClassificationModel → XGBoostPredictorClassificationModelBase
  25. def predictRaw(features: Vector): Vector
    Definition Classes
    XGBoostPredictorClassificationModelBase → ClassificationModel
  26. def predictWithProbability(features: Vector): (Double, Double)
    Definition Classes
    ProbabilisticClassificationModel
  27. val predictor: Predictor
    Definition Classes
    XGBoostPredictorBinaryClassificationModel → XGBoostPredictorClassificationModelBase
  28. def probabilityToPrediction(probability: Vector): Double
    Definition Classes
    ProbabilisticClassificationModel
  29. def probabilityToPredictionIndex(probability: Vector): Int
    Definition Classes
    ProbabilisticClassificationModel
  30. def rawToPrediction(raw: Vector): Double
    Definition Classes
    ProbabilisticClassificationModel
  31. def rawToProbability(raw: Vector): Vector
    Definition Classes
    ProbabilisticClassificationModel
  32. def rawToProbabilityInPlace(raw: Vector): Vector
    Definition Classes
    XGBoostPredictorBinaryClassificationModel → ProbabilisticClassificationModel
  33. final def synchronized[T0](arg0: ⇒ T0): T0
    Definition Classes
    AnyRef
  34. def thresholds: Option[Array[Double]]
    Definition Classes
    ProbabilisticClassificationModel
  35. val treeLimit: Int
    Definition Classes
    XGBoostPredictorBinaryClassificationModel → XGBoostPredictorClassificationModelBase
  36. final def wait(): Unit
    Definition Classes
    AnyRef
    Annotations
    @throws( ... )
  37. final def wait(arg0: Long, arg1: Int): Unit
    Definition Classes
    AnyRef
    Annotations
    @throws( ... )
  38. final def wait(arg0: Long): Unit
    Definition Classes
    AnyRef
    Annotations
    @throws( ... ) @native()

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

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