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> that would be my recommendation, if that's easy for you to do
< rcurtin> but there are Windows build tutorials you could try
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< Vishal90> heyy
< Vishal90> How should I start exploring the codebase?
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< jenkins-mlpack2> Project docker mlpack nightly build build #594: UNSTABLE in 2 hr 53 min: http://ci.mlpack.org/job/docker%20mlpack%20nightly%20build/594/
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< Nakul[m]> @zoq @rcurtin:matrix.org have a look
< GauravSinghGitte> Hey Everyone, My name is Gaurav Singh and I am currently a third-year undergrad computer science student. I am comfortable with multithreading concepts in C++. So is there any issues related to multithreading concepts in mlpack repository where I can help?
< zoq> GauravSing: Hello, I don't think there is an open issue, but what you could do is pick an interesting method and see if it can be improved using OpenMP or SIMD, etc.
< zoq> GauravSing: For an OpenMP example you can look at: regularized_svd_function_impl
< zoq> GauravSing: Or for SIMD: gini_gain.hpp
< zoq> Nakul[m]: Will take a look later.
< Nakul[m]> > Nakul: Will take a look later.
< Nakul[m]> Ok
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