min_axisParam

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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 getExclude(): Boolean

    

13. def getKeepdims(): Boolean

    

14. def getOut(): mxnet.NDArray

    

15. def hashCode(): Int

    

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16. final def isInstanceOf[T0]: Boolean

    

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18. final def notify(): Unit

    

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19. final def notifyAll(): Unit

    

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20. def setAxis(axis: Shape): min_axisParam

    
    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 tuple of ints, a reduction is performed on all the axes specified in the tuple.

    If exclude is true, reduction will be performed on the axes that are NOT in axis instead.

    Negative values means indexing from right to left.

21. def setExclude(exclude: Boolean): min_axisParam

    
    exclude

    Whether to perform reduction on axis that are NOT in axis instead.

22. def setKeepdims(keepdims: Boolean): min_axisParam

    
    keepdims

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

23. def setOut(out: NDArray): min_axisParam

    

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

    

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25. def toString(): String

    

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26. final def wait(): Unit

    

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

    

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

    

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