00:51 < robertohueso> Exactly, it's a bit tricky, specially for cover tree

00:52 < robertohueso> Thanks for taking the time :)

08:03 < jenkins-mlpack2> Project docker mlpack nightly build build #383: STILL UNSTABLE in 3 hr 49 min: http://ci.mlpack.org/job/docker%20mlpack%20nightly%20build/383/

13:01 < zoq> favre49: It should work now, you have to change the adresse to "gym.kurg.org", and the files are in https://gym.kurg.org instead of kurg.org/gym

14:02 < robertohueso> Just made some updates on mlpack's wikipedia page https://en.wikipedia.org/wiki/Mlpack :)

14:14 < KimSangYeon-DGU> robertohueso: Nice :)

16:44 < zoq> robertohues: Agreed, nice!

16:49 < favre49> robertohueso Awesome :)

16:50 < favre49> zoq So you mean https://kurg.org/media/gym/38a12f9b1c9e4 will become https://gym.kurg.org/38a12f9b1c9e4 right?

16:54 < zoq> favre49: Just https://gym.kurg.org/ for now, have have to check the date. Will see if I can fix the naming.

16:54 < zoq> *we have to check the date

16:55 < zoq> ahh, have to restart the service

16:56 < favre49> Ohh okay I'll redo it once you restart then

17:00 < zoq> favre49: Okay, restarted.

17:21 < favre49> Hmm I reran it, but I don't see it on the site. Could you take a look at the code I'm using to test? Maybe I've missed something -> https://pastebin.com/3XQmDQiB

17:29 < zoq> favre49: const std::string host = "gym.kurg.org";

17:30 < jeffin143> robertohueso , zoq , should be m capital in Mlpack..?? In wiki page

17:31 < zoq> favre49: Also might be a good idea to just use env.render(); for the best genome or every 10 iterations or so.

17:32 < zoq> jeffin143: https://en.wikipedia.org/wiki/mlpack works as well

17:33 < zoq> jeffin143: I've seen a bunch of different variations over the time.

17:34 < zoq> favre49: Ahh never mind, I see you jsut evalaute the best genome.

17:38 < sreenik[m]> Hello everyone. I am currenty working on the model translation of Tensorflow, Pytorch, Keras and Onnx models (FFN) to mlpack models. The work is mostly done. Sadly, Onnx does not translate equivalent models of different frameworks to the same Onnx model. If anyone can provide a couple of models (of the supported frameworks mentioned above) it would be quite helpful for me to enhance its compatibility. Here is the repo I am

17:38 < sreenik[m]> using to store them https://github.com/sreenikSS/mlpack-Tensorflow-Translator/tree/master/Temp/New%20models. Some additional details are present in a readme file over there iself. Thanks :)

17:57 < robertohueso> jeffin143: I don't think so but I think, by default, Wikipedia requires the first M to be capital (e.g. https://en.wikipedia.org/wiki/EBay https://en.wikipedia.org/wiki/IPod)

18:44 < zoq> favre49: https://gym.kurg.org/openaigym.video.2.4153.video000000.mp4 maybe we should aim for 10000 iterations instead of 1000?

20:03 < zoq> sreenik[m]: Will get back to you tomorrow.

20:24 < sreenik[m]> zoq: Sure, no hurry :)

20:35 < zoq> favre49: I'll rerun the experiment as well.