Is there a way to compute the average of the primitive elements along the columns or rows of a matrix, such that we obtain vectors with the average values?
For example, let
A = [[1, 2, 3],[4, 5, 6]]
be a 2x3
matrix. The column-wise average would be retrieved in a 3-element vector, like [2.5, 3.5, 4.5]
, while the row-wise average would be retrieved in a 2-element vector, like [2, 5]
.
Numpy and Matlab offer this functionality, and I was wondering if there is such availability in ojAlgo. This, of course, would preclude the use of loops, which is desired in our case.
No, currently you have to do some looping yourself, but please open an issue for this at GitHub.
https://github.com/optimatika/ojAlgo/issues
(It will be implemented.)