[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