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class Softmax extends AnyRef

Softmax class calculate softmax regularization for the input

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Instance Constructors

  1. new Softmax()

Value Members

  1. final def !=(arg0: Any): Boolean
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  2. final def ##(): Int
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  3. final def ==(arg0: Any): Boolean
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  5. def clone(): AnyRef
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  6. def diff(input: VectoD, index: Int): VectoD

    Calculate the difference by first predict the input and deduct the position of index.

    Calculate the difference by first predict the input and deduct the position of index.

    input

    the data input

    index

    class labels for input

  7. final def eq(arg0: AnyRef): Boolean
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  8. def equals(arg0: Any): Boolean
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  9. final def getClass(): Class[_]
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  10. def hashCode(): Int
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  11. final def isInstanceOf[T0]: Boolean
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  12. def loss(input: VectoD, index: Int): Double

    Calculate loss between the vector input and the label index.

    Calculate loss between the vector input and the label index.

    input

    the data input

    index

    class labels for input

  13. final def ne(arg0: AnyRef): Boolean
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  14. final def notify(): Unit
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  15. final def notifyAll(): Unit
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  16. def predict(input: VectoD): VectoD

    Calculate softmax for the input.

    Calculate softmax for the input.

    input

    the vector input for softmax (vector sum = 1)

  17. final def synchronized[T0](arg0: ⇒ T0): T0
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  18. def toString(): String
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  19. final def wait(arg0: Long, arg1: Int): Unit
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  20. final def wait(arg0: Long): Unit
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  21. final def wait(): Unit
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  1. def finalize(): Unit
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    @throws( classOf[java.lang.Throwable] ) @Deprecated
    Deprecated

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