def mapk(actual, predicted, k=<NUM_LIT:10>):
return np.mean([apk(a,p,k) for a,p in zip(actual, predicted)])<EOL>
Computes the mean average precision at k.

This function computes the mean average prescision at k between two lists
of lists of items.

Parameters
----------
actual : list
         A list of lists of elements that are to be predicted 
         (order doesn't matter in the lists)
predicted : list
            A list of lists of predicted elements
            (order matters in the lists)
k : int, optional
    The maximum number of predicted elements

Returns
-------
score : double
        The mean average precision at k over the input lists