trait GBMRegressionLoss extends GBMScalarLoss
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Abstract Value Members
- abstract def gradient(label: Double, prediction: Double): Double
- Definition Classes
- GBMScalarLoss
- abstract def loss(label: Double, prediction: Double): Double
- Definition Classes
- GBMScalarLoss
Concrete Value Members
- final def !=(arg0: Any): Boolean
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- def dim: Int
- Definition Classes
- GBMScalarLoss → GBMLoss
- def encodeLabel(label: Double): Array[Double]
- Definition Classes
- GBMRegressionLoss → GBMLoss
- final def eq(arg0: AnyRef): Boolean
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- def gradient(label: Array[Double], prediction: Array[Double]): Array[Double]
- Definition Classes
- GBMScalarLoss → GBMLoss
- def hashCode(): Int
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- final def isInstanceOf[T0]: Boolean
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- def loss(label: Array[Double], prediction: Array[Double]): Double
- Definition Classes
- GBMScalarLoss → GBMLoss
- final def ne(arg0: AnyRef): Boolean
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- def negativeGradient(label: Double, prediction: Double): Double
- Definition Classes
- GBMScalarLoss
- def negativeGradient(label: Array[Double], prediction: Array[Double]): Array[Double]
- Definition Classes
- GBMLoss
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