random_generalized_negative_binomialParam

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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 getAlpha(): Float

   

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

    

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11. def getCtx(): String

    

12. def getDtype(): String

    

13. def getMu(): Float

    

14. def getOut(): mxnet.NDArray

    

15. def getShape(): Shape

    

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 setAlpha(alpha: Float): random_generalized_negative_binomialParam

    
    alpha

    Alpha (dispersion) parameter of the negative binomial distribution.

22. def setCtx(ctx: String): random_generalized_negative_binomialParam

    
    ctx

    Context of output, in format [cpu|gpu|cpu_pinned](n). Only used for imperative calls.

23. def setDtype(dtype: String): random_generalized_negative_binomialParam

    
    dtype

    DType of the output in case this can't be inferred. Defaults to float32 if not defined (dtype=None).

24. def setMu(mu: Float): random_generalized_negative_binomialParam

    
    mu

    Mean of the negative binomial distribution.

25. def setOut(out: NDArray): random_generalized_negative_binomialParam

    

26. def setShape(shape: Shape): random_generalized_negative_binomialParam

    
    shape

    Shape of the output.

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

    

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28. def toString(): String

    

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29. final def wait(): Unit

    

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

    

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

    

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