05:47 <say4n[m]> you may ask here on irc or on the mailing list :)

12:42 <zoq[m]> And if you have a specific question about an open issue/pr please feel free to leave a comment on the issue/pr itself.

14:15 <shrit[m]> I remember there was a PR to parallelize the CNN training steps, did this one get merged?

14:17 <zoq[m]> I don't recall such PR.

14:21 <zoq[m]> We have parallel SGD in ensmallen.

14:26 <shrit[m]> I found it: https://github.com/mlpack/mlpack/pull/2341

14:35 <zoq[m]> Ohh, interesting.

14:38 <shrit[m]> Yeah, but the results seeems to be not correct

14:38 <shrit[m]> Even the code seems to be fine as well

15:54 <shrit[m]> rcurtin: a question, suppose that I have two neighbors, can I use the KNN or Neighbor search in mlpack in order to find the distance between two neighbors? instead of finding the nearest neighbors?

15:56 <rcurtin[m]> shrit no need to do that, just use the metric to compute the distance, like `EuclideanDistance::Evaluate(a, b)` or something like that---I think that should work

15:57 <shrit[m]> thanks, that even better 💯

15:57 <shrit[m]> * thanks, that is even better

17:51 <liteYagimiOO9lit> Yeah sure I'll do that too. Thanks!