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This is great! I like the architecture change to the code.

One thing I would like to add is an example in one of the ipython notebooks - specifically this one - https://github.com/facebookresearch/pysparnn/blob/master/examples/sparse_search_comparison.ipynb

The other question that I have - is this only intended to be used with ClusterIndex and not MultiClusterIndex?

Thanks for looking at this @spencebeecher - to be honest I didn't really look at what MultiClusterIndex is about in a lot of detail, do you think it should also be used there? I will definitely add to the notebook in the coming days.

So it looks like LSHForest which you are comparing against in the notebook has been deprecated and in fact removed in later versions of sklearn in favour of other ANN libraries like this one 😂 - discussion is here

I tried going back to the original requirements versions in the package but can no longer get numpy 1.11.2 to pip install due to header changes in Ubuntu. I can most likely get it to work by juggling versions but perhaps it doesn't make sense to compare to LSHForest any more anyway?

Hey @spencebeecher - have you decided what you want to do about the notebook comparisons?