Packages

case class LogLoss(numClasses: Int) extends GBMClassificationLoss with HasHessian with Product with Serializable

Source
GBMLoss.scala
Linear Supertypes
Product, Equals, HasHessian, GBMClassificationLoss, GBMLoss, Serializable, AnyRef, Any
Ordering
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  2. By Inheritance
Inherited
  1. LogLoss
  2. Product
  3. Equals
  4. HasHessian
  5. GBMClassificationLoss
  6. GBMLoss
  7. Serializable
  8. AnyRef
  9. Any
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Visibility
  1. Public
  2. Protected

Instance Constructors

  1. new LogLoss(numClasses: 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. def clone(): AnyRef
    Attributes
    protected[lang]
    Definition Classes
    AnyRef
    Annotations
    @throws(classOf[java.lang.CloneNotSupportedException]) @native()
  6. def dim: Int
    Definition Classes
    LogLoss → GBMLoss
  7. def encodeLabel(label: Double): Array[Double]
    Definition Classes
    LogLoss → GBMLoss
  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[_ <: AnyRef]
    Definition Classes
    AnyRef → Any
    Annotations
    @native()
  11. def gradient(label: Array[Double], prediction: Array[Double]): Array[Double]
    Definition Classes
    LogLoss → GBMLoss
  12. def hessian(label: Array[Double], prediction: Array[Double]): Array[Double]
    Definition Classes
    LogLoss → HasHessian
  13. final def isInstanceOf[T0]: Boolean
    Definition Classes
    Any
  14. def loss(label: Array[Double], prediction: Array[Double]): Double
    Definition Classes
    LogLoss → GBMLoss
  15. final def ne(arg0: AnyRef): Boolean
    Definition Classes
    AnyRef
  16. def negativeGradient(label: Array[Double], prediction: Array[Double]): Array[Double]
    Definition Classes
    GBMLoss
  17. final def notify(): Unit
    Definition Classes
    AnyRef
    Annotations
    @native()
  18. final def notifyAll(): Unit
    Definition Classes
    AnyRef
    Annotations
    @native()
  19. val numClasses: Int
  20. def productElementNames: Iterator[String]
    Definition Classes
    Product
  21. def raw2probabilityInPlace(rawPrediction: Vector): Vector
    Definition Classes
    LogLoss → GBMClassificationLoss
  22. final def synchronized[T0](arg0: => T0): T0
    Definition Classes
    AnyRef
  23. final def wait(): Unit
    Definition Classes
    AnyRef
    Annotations
    @throws(classOf[java.lang.InterruptedException])
  24. final def wait(arg0: Long, arg1: Int): Unit
    Definition Classes
    AnyRef
    Annotations
    @throws(classOf[java.lang.InterruptedException])
  25. final def wait(arg0: Long): Unit
    Definition Classes
    AnyRef
    Annotations
    @throws(classOf[java.lang.InterruptedException]) @native()

Inherited from Product

Inherited from Equals

Inherited from HasHessian

Inherited from GBMClassificationLoss

Inherited from GBMLoss

Inherited from Serializable

Inherited from AnyRef

Inherited from Any

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