rcurtin_irc changed the topic of #mlpack to: mlpack: a scalable machine learning library (https://www.mlpack.org/) -- channel logs: https://libera.irclog.whitequark.org/mlpack -- NOTE: messages sent here might not be seen by bridged users on matrix, gitter, or slack
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<shrit[m]> Does anyone know if I can use numpy matrices with mlpack in a smart way with out making my life too complex?
<rcurtin[m]> directly from python, or in C++?
<shrit[m]> C++
<shrit[m]> everything in C++
<shrit[m]> If I can avoid conversion to armadillo that would be the best thing to do
<rcurtin[m]> numpy should give you a memory pointer, you can use that to wrap an Armadillo matrix around using one of the advanced constructors
<rcurtin[m]> so you will get an Armadillo object, but there will be no copying of the data
<shrit[m]> do we have a working example?
<shrit[m]> so I can have a look?
<shrit[m]> or do you know where I can find one?
<rcurtin[m]> it's "kind of" C++... it's actually Cython code. in any case, you should be able to pretty much use that, or something like it
<rcurtin[m]> for the Armadillo constructor I am using, search for `advanced constructor` on the Armadillo docs: http://arma.sourceforge.net/docs.html
<shrit[m]> thanks, I will give them a try and see if this works
<shrit[m]> I will do some testing without mlpack and then see with it
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