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/
< izlacociredef> hi there! I was able to build mlpack with the latest version of boost, but when i try to compile a project with other libraries, I get "error: using invalid field ‘boost::variant<T0, TN>::storage_" any ideas?
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< CssTejaGitter[m]> > `rcurtin (@ryan:ratml.org)` CssTeja (Gitter) can you tell us the command you used for CMake? what did you set `CEREAL_INCLUDE_DIR` to?
< CssTejaGitter[m]> cmake -G "Visual Studio 16 2019" -A x64 -DBLAS_LIBRARIES:FILEPATH="C:/mlpack/mlpack/packages/OpenBLAS.0.2.14.1/lib/native/lib/x64/libopenblas.dll.a" -DLAPACK_LIBRARIES:FILEPATH="C:/mlpack/mlpack/packages/OpenBLAS.0.2.14.1/lib/native/lib/x64/libopenblas.dll.a" -DARMADILLO_INCLUDE_DIR="C:/mlpack/armadillo/include" -DARMADILLO_LIBRARY:FILEPATH="C:/mlpack/armadillo/build/Debug/armadillo.lib"
< CssTejaGitter[m]> -DBOOST_INCLUDEDIR:PATH="C:/boost/" -DBOOST_LIBRARYDIR:PATH="C:/boost/lib64-msvc-14.2" -DCEREAL_INCLUDE_DIR="D:/mlpack/ml[ack/build/deps/cereal/include" -DDEBUG=OFF -DPROFILE=OFF ..
< CssTejaGitter[m]> Directory is D instead of C for all deps. Just copied this from docs and added cereal include dir.
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< CssTejaGitter[m]> nvm after tweaking around a bit finally got it to build, thanks for the help guys.
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< amandarose[m]> Hello. http://v.ht/Cj4Kz
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< lazaros65> hello everyone! I'm interested in reinforcement learning and after taking a look at the summer of code ideas, I noticed that most of rainbow was basically implemented last year and ppo was also implemented the year before even though I cannot find it in methods/reinforcement_learning. Can you please elaborate?
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< Shadow3049> Hello, I am Shivank. I am new to MLpack. I tried to build from source on linux, but it gives a warning and then freezes
< Shadow3049> Should I send the warning displayed?
< jonpsy[m]> about the freeze, mlpack could be a bit hard on moderate computer
< jonpsy[m]> Shadow3049: run with single core ```-j1``` and close everything else.
< Shadow3049> I ran with j2 and everything off, but ram shot to 100% (8GB) and everything froze, had to force shutdown
< brongulusGitter[> Don't run it with j2 and add more swap maybe
< jonpsy[m]> > I ran with j2 and everything off, but ram shot to 100% (8GB) and everything froze, had to force shutdown
< jonpsy[m]> that's more common than u think.
< jonpsy[m]> > Don't run it with j2 and add more swap maybe
< jonpsy[m]> +1
< Shadow3049> I ran make install, I guess it by default uses 1 thread maybe. That worked.
< brongulusGitter[> It's dependent on the cpu, if it's a quad-core, it can handle -j2 but doing that on a dual core cpu is an invitation to constant freezing.
< NippunSharmaGitt> Hey @rcurtin, I had a little doubt regarding the mail you sent in reply to my project idea (revamping the mlpack bindings). Sorry that I forgot to mention it in my reply. In the mail, you mentioned that it would be better to take one binding and refactor it in the way that I am planning to. So, should this be automatically generated? I am asking because this is just used to demonstrate the idea so will a handwritten
< NippunSharmaGitt> example work? Also, can you tell what is the best way to share the code along with my proposal?
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