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
Ordering
  1. Alphabetic
  2. By Inheritance
Inherited
  1. XGBoostPredictorBinaryClassificationModel
  2. Serializable
  3. Serializable
  4. Product
  5. Equals
  6. XGBoostPredictorClassificationModelBase
  7. ProbabilisticClassificationModel
  8. ClassificationModel
  9. Model
  10. AnyRef
  11. Any
  1. Hide All
  2. Show All
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() @HotSpotIntrinsicCandidate()
  7. final def eq(arg0: AnyRef): Boolean
    Definition Classes
    AnyRef
  8. final def getClass(): Class[_]
    Definition Classes
    AnyRef → Any
    Annotations
    @native() @HotSpotIntrinsicCandidate()
  9. def inputSchema: StructType
    Definition Classes
    ProbabilisticClassificationModel → Model
  10. final def isInstanceOf[T0]: Boolean
    Definition Classes
    Any
  11. final def ne(arg0: AnyRef): Boolean
    Definition Classes
    AnyRef
  12. final def notify(): Unit
    Definition Classes
    AnyRef
    Annotations
    @native() @HotSpotIntrinsicCandidate()
  13. final def notifyAll(): Unit
    Definition Classes
    AnyRef
    Annotations
    @native() @HotSpotIntrinsicCandidate()
  14. val numClasses: Int
    Definition Classes
    XGBoostPredictorBinaryClassificationModel → ProbabilisticClassificationModel
  15. val numFeatures: Int
    Definition Classes
    XGBoostPredictorBinaryClassificationModel → ProbabilisticClassificationModel
  16. def outputSchema: StructType
    Definition Classes
    ProbabilisticClassificationModel → Model
  17. def predict(data: FVec): Double
    Definition Classes
    XGBoostPredictorBinaryClassificationModel → XGBoostPredictorClassificationModelBase
  18. def predict(features: Vector): Double
    Definition Classes
    XGBoostPredictorClassificationModelBase → ProbabilisticClassificationModel → ClassificationModel
  19. def predictLeaf(data: FVec): Seq[Double]
    Definition Classes
    XGBoostPredictorClassificationModelBase
  20. def predictLeaf(features: Vector): Seq[Double]
    Definition Classes
    XGBoostPredictorClassificationModelBase
  21. def predictProbabilities(data: FVec): Vector
    Definition Classes
    XGBoostPredictorBinaryClassificationModel → XGBoostPredictorClassificationModelBase
  22. def predictProbabilities(features: Vector): Vector
    Definition Classes
    XGBoostPredictorClassificationModelBase → ProbabilisticClassificationModel
  23. def predictRaw(data: FVec): Vector
    Definition Classes
    XGBoostPredictorBinaryClassificationModel → XGBoostPredictorClassificationModelBase
  24. def predictRaw(features: Vector): Vector
    Definition Classes
    XGBoostPredictorClassificationModelBase → ClassificationModel
  25. def predictWithProbability(features: Vector): (Double, Double)
    Definition Classes
    ProbabilisticClassificationModel
  26. val predictor: Predictor
    Definition Classes
    XGBoostPredictorBinaryClassificationModel → XGBoostPredictorClassificationModelBase
  27. def probabilityToPrediction(probability: Vector): Double
    Definition Classes
    ProbabilisticClassificationModel
  28. def probabilityToPredictionIndex(probability: Vector): Int
    Definition Classes
    ProbabilisticClassificationModel
  29. def rawToPrediction(raw: Vector): Double
    Definition Classes
    ProbabilisticClassificationModel
  30. def rawToProbability(raw: Vector): Vector
    Definition Classes
    ProbabilisticClassificationModel
  31. def rawToProbabilityInPlace(raw: Vector): Vector
    Definition Classes
    XGBoostPredictorBinaryClassificationModel → ProbabilisticClassificationModel
  32. final def synchronized[T0](arg0: ⇒ T0): T0
    Definition Classes
    AnyRef
  33. def thresholds: Option[Array[Double]]
    Definition Classes
    ProbabilisticClassificationModel
  34. val treeLimit: Int
    Definition Classes
    XGBoostPredictorBinaryClassificationModel → XGBoostPredictorClassificationModelBase
  35. final def wait(arg0: Long, arg1: Int): Unit
    Definition Classes
    AnyRef
    Annotations
    @throws( ... )
  36. final def wait(arg0: Long): Unit
    Definition Classes
    AnyRef
    Annotations
    @throws( ... ) @native()
  37. 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 XGBoostPredictorClassificationModelBase

Inherited from ProbabilisticClassificationModel

Inherited from ClassificationModel

Inherited from Model

Inherited from AnyRef

Inherited from Any

Ungrouped