trait GBMRegressionLoss extends GBMScalarLoss
Abstract Value Members
- abstract def gradient(label: Double, prediction: Double): Double
- abstract def loss(label: Double, prediction: Double): Double
Concrete Value Members
- final def !=(arg0: Any): Boolean
- final def ##: Int
- final def ==(arg0: Any): Boolean
- final def asInstanceOf[T0]: T0
- def clone(): AnyRef
- def dim: Int
- def encodeLabel(label: Double): Array[Double]
- final def eq(arg0: AnyRef): Boolean
- def equals(arg0: AnyRef): Boolean
- def finalize(): Unit
- final def getClass(): Class[_ <: AnyRef]
- def gradient(label: Array[Double], prediction: Array[Double]): Array[Double]
- def hashCode(): Int
- final def isInstanceOf[T0]: Boolean
- def loss(label: Array[Double], prediction: Array[Double]): Double
- final def ne(arg0: AnyRef): Boolean
- def negativeGradient(label: Double, prediction: Double): Double
- def negativeGradient(label: Array[Double], prediction: Array[Double]): Array[Double]
- final def notify(): Unit
- final def notifyAll(): Unit
- final def synchronized[T0](arg0: => T0): T0
- def toString(): String
- final def wait(): Unit
- final def wait(arg0: Long, arg1: Int): Unit
- final def wait(arg0: Long): Unit
Value Members
- abstract def gradient(label: Double, prediction: Double): Double
- abstract def loss(label: Double, prediction: Double): Double
- def dim: Int
- def gradient(label: Array[Double], prediction: Array[Double]): Array[Double]
- def loss(label: Array[Double], prediction: Array[Double]): Double
- def negativeGradient(label: Double, prediction: Double): Double
Inherited from GBMLoss
Value Members
- def negativeGradient(label: Array[Double], prediction: Array[Double]): Array[Double]
Inherited from AnyRef
Value Members
- final def !=(arg0: Any): Boolean
- final def ##: Int
- final def ==(arg0: Any): Boolean
- def clone(): AnyRef
- final def eq(arg0: AnyRef): Boolean
- def equals(arg0: AnyRef): Boolean
- def finalize(): Unit
- final def getClass(): Class[_ <: AnyRef]
- def hashCode(): Int
- final def ne(arg0: AnyRef): Boolean
- final def notify(): Unit
- final def notifyAll(): Unit
- final def synchronized[T0](arg0: => T0): T0
- def toString(): String
- final def wait(): Unit
- final def wait(arg0: Long, arg1: Int): Unit
- final def wait(arg0: Long): Unit
Inherited from Any
Value Members
- final def asInstanceOf[T0]: T0
- final def isInstanceOf[T0]: Boolean
Ungrouped
- abstract def gradient(label: Double, prediction: Double): Double
- abstract def loss(label: Double, prediction: Double): Double
- final def !=(arg0: Any): Boolean
- final def ##: Int
- final def ==(arg0: Any): Boolean
- final def asInstanceOf[T0]: T0
- def clone(): AnyRef
- def dim: Int
- def encodeLabel(label: Double): Array[Double]
- final def eq(arg0: AnyRef): Boolean
- def equals(arg0: AnyRef): Boolean
- def finalize(): Unit
- final def getClass(): Class[_ <: AnyRef]
- def gradient(label: Array[Double], prediction: Array[Double]): Array[Double]
- def hashCode(): Int
- final def isInstanceOf[T0]: Boolean
- def loss(label: Array[Double], prediction: Array[Double]): Double
- final def ne(arg0: AnyRef): Boolean
- def negativeGradient(label: Double, prediction: Double): Double
- def negativeGradient(label: Array[Double], prediction: Array[Double]): Array[Double]
- final def notify(): Unit
- final def notifyAll(): Unit
- final def synchronized[T0](arg0: => T0): T0
- def toString(): String
- final def wait(): Unit
- final def wait(arg0: Long, arg1: Int): Unit
- final def wait(arg0: Long): Unit