StatisticsOps

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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 finalize(): Unit

   

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

   

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9. final def isInstanceOf[T0]: Boolean

   

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10. def moments(axes: Seq[Int], weights: Output = null, keepDims: Boolean = false): (Output, Output)

    

    $OpDocStatisticsMoments

    $OpDocStatisticsMoments

    axes

    Axes along which to compute the mean and variance.

    weights

    Optional tensor of positive weights that can be broadcast with input, to weigh the samples. Defaults to null, meaning that equal weighting is used (i.e., all samples have weight equal to 1).

    keepDims

    If true, retain the reduced axes.

    returns

    Tuple containing the created op outputs: (i) the mean tensor, and (ii) the variance tensor.

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

    

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12. final def notify(): Unit

    

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13. final def notifyAll(): Unit

    

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14. val output: Output

    

15. def sufficientStatistics(axes: Output, shift: Output = null, keepDims: Boolean = false): (Output, Output, Output, Output)

    

    $OpDocStatisticsSufficientStatistics

    $OpDocStatisticsSufficientStatistics

    axes

    Tensor containing the axes along which to compute the mean and variance.

    shift

    Optional tensor containing the value by which to shift the data for numerical stability. Defaults to null, meaning that no shift needs to be performed. A shift close to the true mean provides the most numerically stable results.

    keepDims

    If true, retain the reduced axes.

    returns

    Tuple containing the following created op outputs:

    • Count: The number of elements to average over.
    • Mean Sufficient Statistic: The (possibly shifted) sum of the elements in the tensor.
    • Variance Sufficient Statistic: The (possibly shifted) sum of squares of the elements in the tensor.
    • Shift: The shift by which the mean must be corrected, or null if no shift was used.

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

    

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17. final def wait(): Unit

    

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

    

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

    

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