org.apache.mxnet.javaapi

sample_generalized_negative_binomialParam

Related Doc: package javaapi

class sample_generalized_negative_binomialParam extends AnyRef

This Param Object is specifically used for sample_generalized_negative_binomial

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Instance Constructors

  1. new sample_generalized_negative_binomialParam(mu: NDArray, alpha: NDArray)

    mu

    Means of the distributions.

    alpha

    Alpha (dispersion) parameters of the distributions.

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 getAlpha(): NDArray

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

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  11. def getDtype(): String

  12. def getMu(): NDArray

  13. def getOut(): mxnet.NDArray

  14. def getShape(): Shape

  15. def hashCode(): Int

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  16. final def isInstanceOf[T0]: Boolean

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  17. final def ne(arg0: AnyRef): 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 setDtype(dtype: String): sample_generalized_negative_binomialParam

    dtype

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

  21. def setOut(out: NDArray): sample_generalized_negative_binomialParam

  22. def setShape(shape: Shape): sample_generalized_negative_binomialParam

    shape

    Shape to be sampled from each random distribution.

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

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  24. def toString(): String

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  25. final def wait(): Unit

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

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

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