00:01 < abernauer[m]> Well finished my draft for now 😁

00:03 < rcurtin> awesome :)

00:14 < abernauer[m]> The web design changes to the mlpack site are nice forgot to mention that.

00:20 < rcurtin> abernauer[m]: thanks, @gmanlan did all the hard work :)

05:59 < rcurtin> well this is absurd

05:59 < rcurtin> https://mobile.twitter.com/MichaelHBowling/status/1204592806221750272

05:59 < rcurtin> I wasn't able to attend the poster session because it was full and there were significant lines

06:06 < jenkins-mlpack2> Yippee, build fixed!

06:06 < jenkins-mlpack2> Project docker ensmallen nightly build build #108: FIXED in 51 min: http://ci.mlpack.org/job/docker%20ensmallen%20nightly%20build/108/

07:27 < ShikharJaiswalGi> I second the above suggestion, Andrew Koenig's books are a real gem.

07:27 < ShikharJaiswalGi> (edited) ... above suggestion, Andrew ... => ... above suggestion by @abernauer, Andrew ...

08:13 < jenkins-mlpack2> Project docker mlpack nightly build build #549: STILL UNSTABLE in 2 hr 59 min: http://ci.mlpack.org/job/docker%20mlpack%20nightly%20build/549/

11:01 < zoq> rcurtin: The comment - "I literally had to argue the security guard to let me in *to present my poster*, he kept trying to send me to the back of the queue and saying a line is a line.

16:47 < abernauer[m]> @rcurtin Would you ever consider going on an AI/machine learning podcast? Might be a decent way to market mlpack.

16:56 < abernauer[m]> That poster situation sounds like a logistical nightmare too.

17:04 < rcurtin> abernauer[m]; if someone approached me, I'd probably do it, but I don't think I have the time to seek that out myself

17:08 < abernauer[m]> Yeah that's reasonable can only take on, so many things at a time. Lex Fridman has a pretty good A.I. podcast guests like Elon Musk, Gilbert Strang, Juda Pearl, Ian Goodfellow, etc.

17:09 < zoq> abernauer[m]: Agreed, great podcast :)

17:46 < rcurtin> abernauer[m]: if Lex Fridman ever called me up I would of course agree :)

20:57 < Nakul[m]> Hi

20:57 < Nakul[m]> I have added test for softmax_regression callback , and need to test what is the best way to run "FAST" all the tests ... I read more about testing from here https://github.com/mlpack/mlpack/wiki/Testing-Guidelines

21:05 < zoq> Nakul[m]: You don't have to run all tests, which could take some time, instead you can run a single test suite; if you make a test suite called "TestSuite" (BOOST_AUTO_TEST_SUITE(TestSuite)), and then build 'mlpack_test' ('make mlpack_test'), you can run only the tests in that test suite with 'bin/mlpack_test -t TestSuite'. A specific test case called 'TestCase' (BOOST_AUTO_TEST_CASE(TestCase)) could be run

21:05 < zoq> with 'bin/mlpack_test -t TestSuite/TestCase'.

21:06 < Nakul[m]> @zo

21:07 < Nakul[m]> zoq: thanks

22:23 < rcurtin> zoq: I think I'll release a version of ensmallen once we merge #145; anything else you think we should wait on?

22:23 < rcurtin> I can make time to review #138 (the lookahead optimizer) too, and it seems like #137 is just about ready, but no rush

22:23 < rcurtin> perfectly okay to release one version, then merge #138 or #137 and release again

22:24 < zoq> yeah, let's make another release with the new optimization methods

22:26 < zoq> so nothing else from my side, merging #145 and do a new relase sounds good

22:27 < zoq> I had a minor comment about CMAES in #145, but we can move that into the next release.

23:17 < rcurtin> sure, either way works

23:18 < rcurtin> I can make the change for CMAES or focus on #138, just let me know which you'd rather have me do