## mlpack IRC logs, 2020-03-14

Logs for the day 2020-03-14 (starts at 0:00 UTC) are shown below.

March 2020
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--- Log opened Sat Mar 14 00:00:27 2020
00:30 -!- lozhnikov_ [~mikhail@lozhnikov.static.corbina.ru] has joined #mlpack
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04:37 < AbishaiEbenezerG> hi mlpack! i do not know how to run the rl implementations and test cases with gym. could someone help me out?
04:37 < AbishaiEbenezerG> i went through https://github.com/zoq/gym_tcp_api#getting-started but i'm not sure if this is what i'm looking for
04:38 < AbishaiEbenezerG> i remember a conversation earlier here that said that we don't have to use this api anymore since mlpack already has the envs...something like that
04:39 < AbishaiEbenezerG> and especially since there isn't any documentation on this....
04:42 < AbishaiEbenezerG> even #1533 is kinda unclear to me...
05:07 < AbishaiEbenezerG> @sriramsk1999 need your help...
05:11 < SriramSKGitter[m> Hi @abinezer what exactly are you having troubles with?
05:12 < AbishaiEbenezerG> hey! so, i'm just starting out with trying out the rl algos with gym
05:13 < AbishaiEbenezerG> i'm a beginner here, so i might ask a few dumb stuff
05:14 < SriramSKGitter[m> To learn the ropes, I think it would be better to experiment with mlpack's inbuilt environments before trying out openai gym
05:14 < AbishaiEbenezerG> so lets say for example if i wanna try out the mountain car env with mlpacks q_learning
05:14 < AbishaiEbenezerG> how do i do that?
05:15 < SriramSKGitter[m> #2295 is a work in progress, but I think it should be of some help to you :)
05:16 < AbishaiEbenezerG> oh cool thanks ! i'll check it out rn and get back back if i have any more probs...
05:16 < SriramSKGitter[m> For more details, look at some of the tests like q_learning_test.cpp, rl_components_test.cpp and async_learning_test.cpp
05:17 < SriramSKGitter[m> No problem :)
05:17 < AbishaiEbenezerG> sure
07:14 < jenkins-mlpack2> Project docker mlpack nightly build build #640: STILL FAILING in 3 hr 0 min: http://ci.mlpack.org/job/docker%20mlpack%20nightly%20build/640/
07:18 < JoelJosephGitter> @abinezer https://codeshare.io/2BLeVb - this is some code i used to do mountaincar task, inspired from the "q_learning_test.cpp".... hope it helps :)
07:26 < JoelJosephGitter> Does the ffn.hpp have a backward function which can accept a custom loss function?
07:27 < JoelJosephGitter> backward function = for doing backpropagation
07:28 < JoelJosephGitter> i can see that pytorch has that feature, if im right
07:46 < pickle-rick[m]> How might I go about debugging a network that's not converging? In my case, I'm testing a vgg16 implementation(it compiles but trains slow and doesn't converge) , and I'm not sure what's going wrong. You could checkout #62 in mlpack/models repo for the code. Thanks in advance.
08:12 < kartikdutt18Gitt> Hey @adithya-tp, I have left some comments on your PR. Hope they help. Thanks.
08:48 < AbishaiEbenezerG> sure @joeljosephjin , i'll have a look at it....
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09:14 < AbishaiEbenezerG> @sriramsk1999 where do i find this? \ref mlpack::rl
09:14 < AbishaiEbenezerG> "complete API documentation".
09:14 < AbishaiEbenezerG> For further documentation on the rl classes, consult the \ref mlpack::rl
09:14 < AbishaiEbenezerG> "complete API documentation".
09:23 < SriramSKGitter[m> @abinezer : https://www.mlpack.org/doc/mlpack-3.2.2/doxygen/namespacemlpack_1_1rl.html
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09:52 < himanshu_pathak[> Zoq: I have completed the implementation RBFN locally by the I will push all changes with one test but there are many things left such as implementing multiple activation functions can I include this work in my proposal or not and yes implementation is quite slow because I am using for loop for some operation I will try to use arma functions for operations and improve it lot of work is left I thought it will be quite
09:52 < himanshu_pathak[> easy for me to implement I will complete it in a week or so but no it's taking much time. Sorry for delay I will update my pr by this evening
09:59 < pickle-rick[m]> > Hey @adithya-tp, I have left some comments on your PR. Hope they help. Thanks.
09:59 < pickle-rick[m]> Thanks!
10:00 < jeffin143[m]> @himanshu_pathak:matrix.org: it's totally ok , it's not everytime we can follow up with the expected plan , so being liltle late is ok , You shouldn't be sorry about it :)
10:31 < himanshu_pathak[> Yes jeffin143 Sometimes things does not happen as planned next time I will try to stick to the timeline
11:07 < AbishaiEbenezerG> @joeljosephjin
11:07 < AbishaiEbenezerG> while compiling i am getting this error
11:09 < AbishaiEbenezerG> i didn't understand the first error - the parameters passed looked fine
11:09 < AbishaiEbenezerG> did this same code work for you?
11:10 < AbishaiEbenezerG> error: ‘cout’ was not declared in this scope
11:10 < AbishaiEbenezerG> 63 | cout << "Average return: " << averageReturn.mean()
11:11 < AbishaiEbenezerG> the above 2 lines is part of the error as shown above. i don't know whats wrong here. i even added using namespace std. not sure why these basic errors are showing up, but i'll continue looking at this
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14:00 < jeffin143[m]> zoq , rcurtin what happened to azure builds , can't see them in checks
14:33 < jeffin143[m]> rcurtin : you there ?
14:52 < nishantkr18[m]> <rcurtin "okay, strange, in this case I am"> rcurtin: I finally installed and ran with -lmlpack, so everything works now.. but still if i try to make it run using -L instead of -lmlpack, its giving undefined referrence error.
15:17 < nishantkr18[m]> <nishantkr18[m] "rcurtin: I finally installed and"> Sorry I couldn't get u before, as u had mentioned, I just found out that -lmlpack is also required to search for the library mlpack, along with -L, finally works without installing, sorry for the confusion.. feeling so stupid 😶
15:37 -!- AbhiSaphire [75d4f19f@117.212.241.159] has joined #mlpack
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16:54 < zoq> jeffin143[m]: Not sure, will take a look into the issue later.
17:00 < zoq> jeffin143[m]: https://status.dev.azure.com/
17:00 < zoq> jeffin143[m]: https://status.dev.azure.com/_event/179641421
17:01 < zoq> I guess, we just have to wait.
17:02 < jeffin143[m]> Ok
17:02 < jeffin143[m]> That was quick
17:02 < jeffin143[m]> They must be really tensed , and working over time to solve this issue 😂
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18:39 < favre49> A lot of olleges are closing because of COVID-19. I hope everyone stays safe and healthy :)
18:39 < favre49> On the plus side, I guess I have a lot of time to work on mlpack
18:47 < jeffin143[m]> So true , work from home in my office
18:47 < jeffin143[m]> Have spare time for Mlpack :)
18:48 < jeffin143[m]> And also we will get more PR , now since everyone will be working 😉
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19:04 < GauravSinghGitte> Hi, @zoq shouldn't there be a fatal error if MaxIterations() parameter of an optimizer is defined as negative?
19:05 < himanshu_pathak[> I don't think Gaurav Singh (Gitter): anyone is going to do that.
19:30 < GauravSinghGitte> Hi @himanshupathak21061998 I also think that but when I did that just to see what happens with the progress_barcallback I got this result
19:50 < PrinceGuptaGitte> Hi @jeffin143, can you have a look at PR #2148 and #2192. I think they are ready from my side but any further suggestion to make improvements are appreciated.
19:50 < PrinceGuptaGitte> Thanks.
19:50 < PrinceGuptaGitte> (edited) Thanks. => Hi @jeffin143, can you have a look at PR #2184 and #2192. I think they are ready from my side but any further suggestion to make improvements are appreciated.
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19:51 < PrinceGuptaGitte> They've been ready for some time now. I've also done the refactoring to avoid r value references.
19:52 < PrinceGuptaGitte> (edited) They've been ready for some time now. I've also done the refactoring to avoid r value references. => Hi @jeffin143, can you have a look at PR #2184 and #2192 if you get time. I think they are ready from my side but any further suggestion to make improvements are appreciated.
20:04 -!- favre49 [dce39556@220.227.149.86] has joined #mlpack
20:05 < favre49> It seems that the function definition is not showing at https://www.mlpack.org/doc/mlpack-3.2.2/doxygen/classmlpack_1_1ann_1_1TanhFunction.html#details
20:08 < favre49> Seems to be an issue with HardSigmoid as well
20:11 < favre49> The GELU and LiSHT functions are missing entirely from the docs
20:13 < favre49> doxygen function definitions are broken across the board, from what I can tell. I don't know enough to debug this right now (also need to go to sleep), so just letting everyone know
20:14 < favre49> Ah wait actually it makes sense classes are missing, since this is documenting a release. Seems like I really need some sleep :)
20:15 < favre49> Good night, everyone
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21:08 < rcurtin> favre49: :), they should be showing for the mlpack-git documentation
21:41 -!- AbhiSaphire [75d4f19f@117.212.241.159] has quit [Remote host closed the connection]
21:58 < togo> what is the support level for Nvidia Tesla cards with this machine learning library?
22:17 < himanshu_pathak[> zoq (@freenode_zoq:matrix.org): Hey zoq when you get time please look at this pr https://github.com/mlpack/mlpack/pull/2261 right now the thyroid test is working and giving 0.07 classificationerror I will try to make mnist test also work right now it is not if you have any suggestions please provide.
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--- Log closed Sun Mar 15 00:00:29 2020