normParam

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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4. final def asInstanceOf[T0]: T0

   

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5. def clone(): AnyRef

   

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6. final def eq(arg0: AnyRef): Boolean

   

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7. def equals(arg0: Any): Boolean

   

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8. def finalize(): Unit

   

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9. def getAxis(): Shape

   

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

    

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11. def getData(): NDArray

    

12. def getKeepdims(): Boolean

    

13. def getOrd(): Integer

    

14. def getOut(): mxnet.NDArray

    

15. def getOut_dtype(): String

    

16. def hashCode(): Int

    

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17. final def isInstanceOf[T0]: Boolean

    

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

    

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19. final def notify(): Unit

    

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20. final def notifyAll(): Unit

    

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21. def setAxis(axis: Shape): normParam

    
    axis

    The axis or axes along which to perform the reduction. The default, axis=(), will compute over all elements into a scalar array with shape (1,). If axis is int, a reduction is performed on a particular axis. If axis is a 2-tuple, it specifies the axes that hold 2-D matrices, and the matrix norms of these matrices are computed.

22. def setKeepdims(keepdims: Boolean): normParam

    
    keepdims

    If this is set to True, the reduced axis is left in the result as dimension with size one.

23. def setOrd(ord: Integer): normParam

    
    ord

    Order of the norm. Currently ord=1 and ord=2 is supported.

24. def setOut(out: NDArray): normParam

    

25. def setOut_dtype(out_dtype: String): normParam

    
    out_dtype

    The data type of the output.

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

    

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27. def toString(): String

    

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28. final def wait(): Unit

    

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29. final def wait(arg0: Long, arg1: Int): Unit

    

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30. final def wait(arg0: Long): Unit

    

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