#mlpack on 2019-07-14 — irc logs at libera.irclog.whitequark.org

2018-11-12 22:39 ChanServ changed the topic of #mlpack to: "mlpack: a fast, flexible machine learning library :: We don't always respond instantly, but we will respond; please be patient :: Logs at http://www.mlpack.org/irc/

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08:03 < jenkins-mlpack2> Project docker mlpack nightly build build #386: STILL UNSTABLE in 3 hr 49 min: http://ci.mlpack.org/job/docker%20mlpack%20nightly%20build/386/

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11:22 < zoq> favre49: Modified file to run the NEAT method against gym: https://gist.github.com/zoq/519e956dd83cdcbc3a2dade9df36c479 I reuse the same env for each run, maybe that works for you as well?

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11:32 < favre49> zoq I'll try that out, I guess I would have to disable parallelization for that? Since all the genomes being evaluated parallelly would be working on the same environment?

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11:37 < zoq> favre49: Good point, yes, we could create a pool of envs at some point.

11:38 < zoq> favre49: The Instantiation and destruction of an env takes some time, so reusing envs is a lot faster.

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11:44 < favre49> zoq That explains why it was also running slower, good idea, I'll try it out on my laptop soon

11:45 < favre49> Also, it seems like QLearning relies on there being a default constructor for the environment. I don't think there's a way to use your own custom configuration for an environment

11:46 < favre49> Oh my bad, I missed out that it's just default initialized, ignore that

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14:27 < travis-ci> robertohueso/mlpack#35 (mc_kde_error_bounds - 6a049ca : Roberto Hueso Gomez): The build is still failing.

14:27 < travis-ci> Change view : https://github.com/robertohueso/mlpack/compare/a677fa3ce88a...6a049ca4620b

14:27 < travis-ci> Build details : https://travis-ci.org/robertohueso/mlpack/builds/558530456

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15:04 < travis-ci> robertohueso/mlpack#36 (mc_kde_error_bounds - 637cb6f : Roberto Hueso Gomez): The build is still failing.

15:04 < travis-ci> Change view : https://github.com/robertohueso/mlpack/compare/6a049ca4620b...637cb6f340c0

15:04 < travis-ci> Build details : https://travis-ci.org/robertohueso/mlpack/builds/558531106

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15:58 < robertohueso> Does anyone know why do I keep getting this error http://ci.mlpack.org/job/pull-requests-mlpack-static-code-analysis/2225/cppcheckResult/ just for RectangleTree if none of the other trees have implemented operator=?

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16:14 < Yashwants19> Hi robertohueso: I think so here a copy constructor is present but the assignment operator is absent.

16:15 < Yashwants19> You can take look at this code it may help to resolve the issue.

16:15 < Yashwants19> https://github.com/mlpack/mlpack/blob/595f9d23510a3669bf55555afc78a5092a8696f4/src/mlpack/methods/fastmks/fastmks_impl.hpp#L221

16:16 < Yashwants19> Here We have both the copy constructor as well as a assignment operation for copy.

16:16 < Yashwants19> Operator*

16:17 < Yashwants19> In `fastmks`

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16:31 < zoq> robertohues: The static analysis job runs or shows only modified files, so it's possible you will see the same for the other trees as well.

16:44 < akhandait> sreenik[m]: You there?

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17:00 < akhandait> zoq: Do you think we should get a softmax layer?

17:01 < akhandait> While training, we have logsoftmax for NLL, but during inference, I think it's more convenient if we have a softmax layer.

17:03 < zoq> akhandait: Yeah, good idea.

17:04 < akhandait> Okay, just wanted your confirmation.

17:06 < akhandait> sreenik[m]: We have the confirmation. Can you open a PR adding a Softmax layer?

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17:08 < akhandait> It will mostly be a copy of the LogSoftMax except changes in 2/3 lines.

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