11:45 < rcurtin[m]1> Ryan Stout (Gitter) there isn't support to do this directly... it would be possible to develop an algorithm for it, but that might be overkill for your needs. instead, if you are okay with an approximate solution, maybe get the furthest `n` points from each query point via `ApproxKFN`, then use brute-force computation among those candidates to find the point whose summed distances are the greatest?

11:46 < rcurtin[m]1> there will be edge case datasets for which that idea may not perform well, but I think you could get decent results by tuning `n`, for instance

16:43 < zoq> shrit[m]: I have to do some configuration, since the connected node is already a docker image. But it's just a simple setting, I'll do that later today.

16:44 < shrit[m]> no worries, many thanks

17:10 < jeffin143[m]> Zoq : do we need text rank algorithm or rake algorithm ??

19:53 < jenkins-mlpack2> Yippee, build fixed!

19:53 < jenkins-mlpack2> Project mlpack - git commit test build #653: FIXED in 1 hr 2 min: http://ci.mlpack.org/job/mlpack%20-%20git%20commit%20test/653/

20:10 < zoq> jeffin143[m]: I like the idea, at least right now mlpack is not super focused on text processing, but I like to see more support in that direction.

22:08 < AlexNguyenGitter> @zoq Hi, I'm experiemnting on the elixir server for reinforcement learning interaction with open ai gym, when I ran the server and cpp example, the server terminate by saying that there is no module named gym installed, although I have installed gym with pip. Do you have any idea how this happened?