# [−][src]Function arrayfire::meanvar

pub fn meanvar<T, W>(

input: &Array<T>,

weights: &Array<W>,

bias: VarianceBias,

dim: i64

) -> (Array<T::MeanOutType>, Array<T::MeanOutType>) where

T: HasAfEnum,

T::MeanOutType: HasAfEnum,

W: HasAfEnum + RealFloating,

Calculate mean and variance in single API call

# Parameters

`input`

is the input Array`weights`

Array has the weights to be used during the stat computation`bias`

is type of bias used for variance calculation`dim`

is dimension along which the current stat has to be computed

# Return Values

A tuple of Arrays, whose size is equal to input except along the dimension which
the stat operation is performed. Array size along `dim`

will be reduced to one.

- First Array contains mean values
- Second Array contains variance values