[mlpack-git] [mlpack/mlpack] R+ and R++ trees implementation (#699)

Ryan Curtin notifications at github.com
Wed Jun 29 16:36:55 EDT 2016


Looks good to me.  I added some comments; when they are addressed I don't think I have any more comments.  A couple of high-level questions:

 * We had decided that the R+ tree was deficient and could not be implemented in a way that avoided overlap, but you've implemented it here anyway.  It looks to me like you used a heuristic that will try to avoid overlap but can sometimes fail, and in that case you try to minimize overlap.  Am I understanding that correctly?  I think it's fine to include the R+ tree like this, but we should document that it is modified from the original paper implementation.

 * What happens if I build a tree on all the same point?  Like if I have a dataset of 100 points all at the origin.  Does this still give a valid tree?

 * We should notify the R++ tree authors that we have implemented their method when this is merged, and maybe provide a couple of quick performance comparisons.

I'll do a few performance comparisons as we get closer to merging this.  If you want, we can add support for the R+ and R++ trees to NSModel in this PR.  That's up to you if you want to do that now or later.

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