c

ml.combust.mleap.xgboost.runtime

XGBoostBinaryClassificationModel

case class XGBoostBinaryClassificationModel(booster: Booster, numFeatures: Int, treeLimit: Int) extends XGBoostClassificationModelBase with Product with Serializable

Linear Supertypes
Serializable, Serializable, Product, Equals, XGBoostClassificationModelBase, ProbabilisticClassificationModel, ClassificationModel, Model, AnyRef, Any
Ordering
  1. Alphabetic
  2. By Inheritance
Inherited
  1. XGBoostBinaryClassificationModel
  2. Serializable
  3. Serializable
  4. Product
  5. Equals
  6. XGBoostClassificationModelBase
  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 XGBoostBinaryClassificationModel(booster: Booster, 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. val booster: Booster
    Definition Classes
    XGBoostBinaryClassificationModel → XGBoostClassificationModelBase
  7. def clone(): AnyRef
    Attributes
    protected[lang]
    Definition Classes
    AnyRef
    Annotations
    @throws( ... ) @native()
  8. final def eq(arg0: AnyRef): Boolean
    Definition Classes
    AnyRef
  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 inputSchema: StructType
    Definition Classes
    ProbabilisticClassificationModel → Model
  12. final def isInstanceOf[T0]: Boolean
    Definition Classes
    Any
  13. final def ne(arg0: AnyRef): Boolean
    Definition Classes
    AnyRef
  14. final def notify(): Unit
    Definition Classes
    AnyRef
    Annotations
    @native()
  15. final def notifyAll(): Unit
    Definition Classes
    AnyRef
    Annotations
    @native()
  16. val numClasses: Int
    Definition Classes
    XGBoostBinaryClassificationModel → ProbabilisticClassificationModel
  17. val numFeatures: Int
    Definition Classes
    XGBoostBinaryClassificationModel → ProbabilisticClassificationModel
  18. def outputSchema: StructType
    Definition Classes
    ProbabilisticClassificationModel → Model
  19. def predict(data: DMatrix): Double
    Definition Classes
    XGBoostBinaryClassificationModel → XGBoostClassificationModelBase
  20. def predict(features: Vector): Double
    Definition Classes
    XGBoostClassificationModelBase → ProbabilisticClassificationModel → ClassificationModel
  21. def predictContrib(data: DMatrix): Seq[Double]
    Definition Classes
    XGBoostClassificationModelBase
  22. def predictContrib(features: Vector): Seq[Double]
    Definition Classes
    XGBoostClassificationModelBase
  23. def predictLeaf(data: DMatrix): Seq[Double]
    Definition Classes
    XGBoostClassificationModelBase
  24. def predictLeaf(features: Vector): Seq[Double]
    Definition Classes
    XGBoostClassificationModelBase
  25. def predictProbabilities(data: DMatrix): Vector
    Definition Classes
    XGBoostBinaryClassificationModel → XGBoostClassificationModelBase
  26. def predictProbabilities(features: Vector): Vector
    Definition Classes
    XGBoostClassificationModelBase → ProbabilisticClassificationModel
  27. def predictRaw(data: DMatrix): Vector
    Definition Classes
    XGBoostBinaryClassificationModel → XGBoostClassificationModelBase
  28. def predictRaw(features: Vector): Vector
    Definition Classes
    XGBoostClassificationModelBase → ClassificationModel
  29. def predictWithProbability(features: Vector): (Double, Double)
    Definition Classes
    ProbabilisticClassificationModel
  30. def probabilityToPrediction(probability: Vector): Double
    Definition Classes
    ProbabilisticClassificationModel
  31. def probabilityToPredictionIndex(probability: Vector): Int
    Definition Classes
    ProbabilisticClassificationModel
  32. def rawToPrediction(raw: Vector): Double
    Definition Classes
    ProbabilisticClassificationModel
  33. def rawToProbability(raw: Vector): Vector
    Definition Classes
    ProbabilisticClassificationModel
  34. def rawToProbabilityInPlace(raw: Vector): Vector
    Definition Classes
    XGBoostBinaryClassificationModel → ProbabilisticClassificationModel
  35. final def synchronized[T0](arg0: ⇒ T0): T0
    Definition Classes
    AnyRef
  36. def thresholds: Option[Array[Double]]
    Definition Classes
    ProbabilisticClassificationModel
  37. val treeLimit: Int
    Definition Classes
    XGBoostBinaryClassificationModel → XGBoostClassificationModelBase
  38. final def wait(): Unit
    Definition Classes
    AnyRef
    Annotations
    @throws( ... )
  39. final def wait(arg0: Long, arg1: Int): Unit
    Definition Classes
    AnyRef
    Annotations
    @throws( ... )
  40. 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 XGBoostClassificationModelBase

Inherited from ProbabilisticClassificationModel

Inherited from ClassificationModel

Inherited from Model

Inherited from AnyRef

Inherited from Any

Ungrouped