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org.emmalanguage.lib.ml.optimization.loss

crossentropy

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object crossentropy extends Loss

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  1. final def !=(arg0: Any): Boolean

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  2. final def ##(): Int

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  4. def apply[ID](w: DVector, x: LDPoint[ID, Double]): Double

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    Compute the cross entropy loss function:

    Compute the cross entropy loss function:

    w

    The weights that are used to evaluate the loss.

    x

    The instance that is evaluated.

    returns

    The loss as measured by the least squares solution.

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    crossentropyLoss
  5. final def asInstanceOf[T0]: T0

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  6. def clone(): AnyRef

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  10. final def getClass(): Class[_]

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  11. def gradient[ID](w: DVector, x: LDPoint[ID, Double]): DVector

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    Compute the gradient of the cross entropy loss function.

    Compute the gradient of the cross entropy loss function.

    w

    The weights for which the gradient is computed.

    x

    The instance for which the gradient is computed.

    returns

    The computed gradient.

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    crossentropyLoss
  12. def hashCode(): Int

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