@Gaël
> I believe that it is the same thing as cosine similarity. If that's
> indeed the case, you could add a note in the cosine similarity docstring
> to stress it.
I think it is somewhat different from cosine similarity.
@Boyuan
> I remember there is an off-the-shelf function in scipy.stats called
> pearsonr. You don't have to implement it on your own.
Yeah, I know about that. I thought of suggesting this addition after I saw
that we a newton_cg as comparted to scipy's fmin_ncg. :)
Besides, we could do things differently. For example, in my project, I
needed to calculate the mean of all the items a user has rated. I saw
pearsonr's implementation in which it is taking in account the unrated
items (which had zero rating) too for calculating this mean. We could add
an option in which the user selects this criteria. Also, I think it doesn't
consider taking into account only the ratings for an item which both users
have rated. We could add this as an option too.
Vinayak
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