10:34 < partobs-mdp> zoq: Trying to compile model code, running into the error: /home/pretorium/Repos/mlpack-models/models/augmented_lstm_baseline/src/lstm_baseline_main.cpp: In function ‘void RunCopyTask(size_t, size_t, size_t, size_t)’: \n /home/pretorium/Repos/mlpack-models/models/augmented_lstm_baseline/src/lstm_baseline_main.cpp:110:3: error: ‘mlpack::optimization::Adam {aka mlpack::optimization::AdamType<mlpack::optimization::AdamUpdate>}’ i

10:34 < partobs-mdp> s not a template \n Adam<decltype(model)> opt(model);

10:35 < partobs-mdp> zoq: As far as I understand, the optimizer API has changed. Could you show how did you create the optimizer in your experiments?

13:14 < SwapnilP_> HI! can someone point out the skills needed to code mlpack.. i really want to contribute to mlpack, since im learning ml and dl.. all help is highly appreciated...

13:22 < zoq> SwapnilP_: Hello, mlpack uses lots of different C++ paradigms including template metaprogramming so intermediate C++ knowledge is definitely a plus, but if you are willing to learn such things you are good to go; here are some helpful links: http://www.mlpack.org/involved.html and http://mlpack.org/gsoc.html

13:26 < zoq> partobs-mdp: Right, if you remove the function/model from the optimizer instantiation it should work: so instead of StandardSGD<decltype(model)> opt(model, 0.1, 2, -50000); you do StandardSGD opt(0.1, 2, -50000);

13:28 < SwapnilP_> Thanks for that. Im gonna begin learning now. So ml and dl experience isnt a necessity?

13:30 < zoq> SwapnilP_: Not necessarily, as long as you are willing to invest some time into the topic.

16:59 < sumedhghaisas> zoq: Hey Marcus. There?

19:59 < sumedhghaisas> rcurtin: Hey Ryan... free? had some questions

21:44 < rcurtin> sumedhghaisas: not today, just sitting at the desk for a few minutes... send an email? :)

21:45 < sumedhghaisas> rcurtin: It will be simpler on IRC... will talk tomorrow or something :)