org.apache.mxnet.javaapi

random_exponentialParam

Related Doc: package javaapi

class random_exponentialParam extends AnyRef

This Param Object is specifically used for random_exponential

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Instance Constructors

  1. new random_exponentialParam()

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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  8. def finalize(): Unit

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

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  10. def getCtx(): String

  11. def getDtype(): String

  12. def getLam(): Float

  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 setCtx(ctx: String): random_exponentialParam

    ctx

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

  21. def setDtype(dtype: String): random_exponentialParam

    dtype

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

  22. def setLam(lam: Float): random_exponentialParam

    lam

    Lambda parameter (rate) of the exponential distribution.

  23. def setOut(out: NDArray): random_exponentialParam

  24. def setShape(shape: Shape): random_exponentialParam

    shape

    Shape of the output.

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

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  26. def toString(): String

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  27. final def wait(): Unit

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

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

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