[Similarity module] Add more similarity measurements about diverseselector HOT 7 OPEN

As explained on Wikipedia there is a Tanimoto similarity and a Tanimoto distance. So both exist.

The easiest test is to compare an object to itself. Its similarity is greater than zero (often one) and the distance is zero.

I feel like it is better to add AIMSim as a dependence. Implementing 30+ methods is a lot of work.

We may wish to have a few basic methods implemented; the most common distance metrics and similarity measures are already there in scikit-learn
(distances) sklearn.metrics.DistanceMetric
(similarities and divergences) sklearn.metrics.pairwise

I'd lead with interfacing to scikit-learn (I think we already did this in large part?) and then considering interfacing to AIMSim a follow-up task.

I guess it is important to distinguish between similarities/affinities and distances/divergences. I'd suggest making sure that we have these distinguished, plus the "converter" between them.

from diverseselector.

Yes, we should make them differentiable and be obvious as much as we can to avoid any ambiguity.

from diverseselector.

Update: We decided not to include any wrappers to support the functionality in other packages (reason: additional overhead and unnecessary dependency), instead, we showcase how our package works with other libraries in notebooks/tutorials.

from diverseselector.