The Correlation Coefficient (CC) although not a particularly good metric due to it being scale and offset invariant is sometimes used as a goodness-of-fit metric in regression tasks.

Perhaps a feature worth adding? Implementation should be straightforward since it would essentially be a mere call to numpy's corrcoeff function, followed by appropriate indexing (i.e. [0,1]).