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/
< rcurtin> ShikharJ: yeah, it's all over the map, it depends on the particular workshop
< rcurtin> many workshops don't actually have formal proceedings either
< rcurtin> sometimes, the submission is actually just an extended abstract
< rcurtin> but it is true that in general, NIPS workshop papers are not particularly technically in-depth
< rcurtin> (the workshops are totally different things than the main conference, usually for incomplete or in-progress type work, where some good results are known but it's not ready for a full submission yet)
< rcurtin> (so, e.g., submitting a workshop paper lets you get it in front of the relevant audience and maybe have a nice discussion about how to improve it)
< rcurtin> jeffin143: no worries about the spaces, it's easy for me to fix during merge :)
< rcurtin> I don't know about webpack, maybe can you send a link or something?
< rcurtin> Toshal: yeah, I took a look through, I see that it would be a bunch of work, but I'm happy to help if you like. I think that we should put `exactObjective` last, in general, for reverse compatibility
< rcurtin> there are some situations where UpdatePolicyType parameters are currently last, and in these cases, I agree, maybe it is better to have `exactObjective` before those
< rcurtin> here's an idea: we could add both constructors, and mark the one that's reverse-compatible as deprecated, and remove it eventually
< rcurtin> perhaps this would be the best of both worlds? let me know what you think
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< travis-ci> robertohueso/mlpack#44 (mc_kde_error_bounds - a512a48 : Roberto Hueso Gomez): The build was broken.
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< jeffin143> could anyone help me debug this code please : https://pastebin.com/wnpk1Xxc
< jeffin143> not showing complete output
< jeffin143> rcurtin : https://webpack.js.org/ , They do it for only .js files
< jeffin143> also python and java by deafult does something like ,for python : from numpy import arange and for java : import static java.lang.Math.abs; But i agree it would be difficult for c++
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< ShikharJ> rcurtin: I see, I was surprised when I saw a 4 page accepted workshop submission in MLOSS, which wasn't even technical. No wonder grad school committees do not look highly upon workshop publications.
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< jenkins-mlpack2> Project docker mlpack nightly build build #393: STILL UNSTABLE in 3 hr 49 min: http://ci.mlpack.org/job/docker%20mlpack%20nightly%20build/393/
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< zoq> favre49: Right now there is no good solution for passing a python object/class to mlpack, that's whay there is no binding for the RL code. The same applies to the exectuable, a user can configure the method itself but I don't think there is an easy to way to pass an env. The only option I can see right now, is to let the user choose something what is already there, e.g. CartPole, MountainCar, etc. MEans a
< zoq> user would have to define the env in C++ first.
< zoq> favre49: About phased searching, what about we create an artificial task (NEAT is already preconfigured) where we can see that phased searching does make a difference; we don't let it run until it converges, we could just run it once and see if we get the expected output.
< zoq> jeffin143: Either replace ss.str(line); with stringstream ss(line); or use ss.clear() after the getline while loop: http://www.cplusplus.com/forum/beginner/203521/ does have an explanation.
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< jeffin143> Thansk zoq, That worked out, Thanks for the article too :)
< jeffin143> Also need an help, https://travis-ci.org/mlpack/mlpack/jobs/561648772 - is there any issue with new branch ?
< jeffin143> Ann layer test is failing
< zoq> jeffin143: Yeah, I saw the issue but haven't had the time to take a closer look. You can ignore the issue.
< jeffin143> Cool, Thanks :)
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< favre49> zoq Alright, thanks. I'll remove neat_main.cpp then, I don't think we can have NEAT bindings.
< favre49> I'll try what you suggested with the phased searching test
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< zoq> favre49: I don't mind to keep the executable, a user could pass a string that defines the env, if it doesn't exsist we return an error. What do you think?
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< favre49> zoq: wouldn't that mean the user could only use existing envs?
< favre49> That doesn't seem particularly useful beyond testing purposes
< rcurtin> ShikharJ: yeah, it is true that graduate school admissions would generally view workshop papers less favorably than conference or journal papers; however, it depends a lot on the workshop, content, etc., and a workshop paper certainly counts for something :)
< rcurtin> jeffin143: yeah, I see what you mean, thanks for the link. I'm not sure if anything similar exists for C++ though
< zoq> favre49: It's certainly no ideal, but that would give a user the option to first implement an env in C++ and use the executable afterwards.
< zoq> favre49: If you like to remove the main for now, that's okay for me as well.
< rcurtin> jeffin143: also, yeah, looks like one of the ANN layerbtests is failing; there's been an issue open for it for some time if I remember right
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< cerealkiller> Hello everyone!
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< cerealkiller> I'm Nirmesh Bansal, a 2nd year student at The LNM Institute of Information Technology (Communication and Computer Engineering). I would love to contribute here. As of now, I know a bit of C++ and machine learning.
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< favre49> cerealkiller: Hey! mlpack.org/community.html will probably help
< favre49> You can check out what issues we have open and fix them, or try implementing something new
< favre49> There's also an optimization library, ensmallen, which you can check out at github.com/mlpack/ensmallen
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< travis-ci> robertohueso/mlpack#45 (mc_kde_error_bounds - fee8261 : Roberto Hueso Gomez): The build is still failing.
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