first of all thank you for this great package! What would you say about adding kwargs to the precision_at_k function to control the parameters of the recommend function? Or simply adding the parameters of the recommend function to the precision_at_k function...
This would be very helpful in the case, for example if need recommendations with filter_already_liked_items = True. Currently this is not possible with the precision_at_k function.
Perhaps, you would implement your own precision_at_k method and simply call it after getting the recommendation list to compute the precision. That is what I have done on my end.
Hi,
first of all thank you for this great package! What would you say about adding kwargs to the precision_at_k function to control the parameters of the recommend function? Or simply adding the parameters of the recommend function to the precision_at_k function...
This would be very helpful in the case, for example if need recommendations with filter_already_liked_items = True. Currently this is not possible with the precision_at_k function.