c

ml.combust.mleap.xgboost.runtime

XGBoostRegressionModel

case class XGBoostRegressionModel(booster: Booster, numFeatures: Int, treeLimit: Int) extends Model with Product with Serializable

Created by hollinwilkins on 9/16/17.

Linear Supertypes
Serializable, Serializable, Product, Equals, Model, AnyRef, Any
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Inherited
  1. XGBoostRegressionModel
  2. Serializable
  3. Serializable
  4. Product
  5. Equals
  6. Model
  7. AnyRef
  8. Any
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Visibility
  1. Public
  2. All

Instance Constructors

  1. new XGBoostRegressionModel(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. final def asInstanceOf[T0]: T0
    Definition Classes
    Any
  5. val booster: Booster
  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
    XGBoostRegressionModel → 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 numFeatures: Int
  15. def outputSchema: StructType
    Definition Classes
    XGBoostRegressionModel → Model
  16. def predict(data: DMatrix): Double
  17. def predict(tensor: Tensor[Double]): Double
  18. def predictContrib(data: DMatrix): Seq[Double]
  19. def predictContrib(tensor: Tensor[Double]): Seq[Double]
  20. def predictLeaf(data: DMatrix): Seq[Double]
  21. def predictLeaf(tensor: Tensor[Double]): Seq[Double]
  22. final def synchronized[T0](arg0: ⇒ T0): T0
    Definition Classes
    AnyRef
  23. val treeLimit: Int
  24. final def wait(arg0: Long, arg1: Int): Unit
    Definition Classes
    AnyRef
    Annotations
    @throws( ... )
  25. final def wait(arg0: Long): Unit
    Definition Classes
    AnyRef
    Annotations
    @throws( ... ) @native()
  26. 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 Model

Inherited from AnyRef

Inherited from Any

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