org.kramerlab.autoencoder.math.optimization

SquareErrorFunctionFactory

object SquareErrorFunctionFactory extends DifferentiableErrorFunctionFactory[Mat]

Returns half of the square of the norm induced by the scalar products structure on Real^n. The normalization factor 1/2 is there so that the residual corresponds to the gradient.

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DifferentiableErrorFunctionFactory[Mat], AnyRef, Any
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  1. final def !=(arg0: AnyRef): Boolean

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

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  6. def apply(target: Mat): DifferentiableFunction[Mat]

    Takes the target value as input and returns a differentiable function which represents the error betweenthe input and the target value.

    Takes the target value as input and returns a differentiable function which represents the error betweenthe input and the target value.

    Definition Classes
    SquareErrorFunctionFactory → DifferentiableErrorFunctionFactory

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  11. def finalize(): Unit

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

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  15. final def ne(arg0: AnyRef): Boolean

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  16. final def notify(): Unit

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  18. final def synchronized[T0](arg0: ⇒ T0): T0

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  19. def toString(): String

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Inherited from DifferentiableErrorFunctionFactory[Mat]

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