verne.freenode.net changed the topic of #mlpack to: http://www.mlpack.org/ -- We don't respond instantly... but we will respond. Give it a few minutes. Or hours. -- Channel logs: http://www.mlpack.org/irc/
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< rcurtin>
alsc: sorry for the slow response---I am at NIPS this week, I'll take a closer look when I get home
< rcurtin>
the conference goes from like 8am to 10pm every day, very hard to stay on top of things :(
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< praveenojha33>
How to begin with Machine Learning if I want to contribute for mlpack.
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< gopalakr>
how do I compile mlpack so that the commandline executable are multithreaded ? currently all my executables are running on single core
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< alsc>
rcurtin: no worries! I’m away anyways
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< rcurtin>
alsc: sounds good; it'll probably be next week sometime
< rcurtin>
gopalakr: make sure your compiler has OpenMP support (although it probably does), but not all of the command-line programs support multithreaded execution
< rcurtin>
another way would be to use OpenBLAS instead of ATLAS or BLAS or LAPACK as the underlying linear algebra library
< rcurtin>
this can provide significant speedups because OpenBLAS is parallel; but you'll only see those speedups in the command-line programs if that particular command-line program uses linear algebra heavily
< gopalakr>
right ok thanks.. what should I specifically change in compilation to let openMP be the dafault ?
< rcurtin>
cmake should detect it automatically
< rcurtin>
you can compile with 'VERBOSE=1 make' to ensure that the '-fopenmp' flag is being used when the compiler is being called
< gopalakr>
ok thanks will do this..
< gopalakr>
unrelated question, does linear_regression expect dimensions as columns and rows as samples ?
< rcurtin>
yes, if you are loading from a csv or similar, that's the expected format