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    Method var

    static member var: Tensor<'T> * int64 option -> 'T

    Calculates the variance of the tensor.

    Declaration
    static member var: a:Tensor<'T> * ddof:int64 option -> 'T
    Parameters
    Type Name Description
    Tensor<'T> a

    The tensor containing the source values.

    int64 option ddof
    Returns
    Type Description
    'T

    The variance estimate.

    Remarks

    The variance is calculated over all elements of the tensor.

    The parameter ddof specifies the difference between the number of elements and the degrees of freedom for the computation of the variance. Use ddof=1 to obtain an unbiased estimate and ddof=0 for a maximum-likelihood estimate.

    Examples
     let a = HostTensor.ofList2D [[1.0; 2.0; 3.0; 4.0]
                                  [5.0; 6.0; 7.0; 8.0]]
     let b = Tensor.var a 
    See Also
    static member varAxis: int * Tensor<'T> * int64 option -> Tensor<'T>
    static member mean: Tensor<'T> -> 'T
    static member std: Tensor<'T> * int64 option -> 'T
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