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/
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< rcurtin>
zoq: awesome
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< jeffin143>
rcurtin , zoq , just read c++ 20 features , modules are there we could do something like python using that from math import abs
< jeffin143>
Build time would be reduced a lot
< jeffin143>
Still a long way to go but at least they made a move
< rcurtin>
jeffin143: awesome to hear, I guess it will be a long time until c++20 features are supported across a lot of compilers though :(
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< ssk99>
Hi guys! I'm new here and I want to start contributing and I'm a little lost and would appreciate help. I'm currently looking to work on issue #1957
< ssk99>
It is mentioned there that the assignments have already been implemented for the RectangleTree so I'm using that as a reference for BinarySpaceTree which I'm working on right now
< ssk99>
I was hoping for some guidance on how to start
< rcurtin>
ssk99: hi there, glad to hear you're interested :)
< rcurtin>
I'm not quite sure of how to answer your question; you've found the RectangleTree code, and the issue lists the other trees that need to be done
< ssk99>
Hi there rcurtin, to be frank I myself am not completely sure what questions I have. Its my first time encountering industrial C++ and it is quite intimidating. I will try making some changes and get back to you if I have any questions :)
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< rcurtin>
ssk99: sounds good, and I would agree, the best way to learn is just to jump in and play around :)
< rcurtin>
be sure to check out the various mlpack tutorials and documentation
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< rcurtin>
ssk99: I left just a couple messages; don't know if you have seen the IRC log: http://mlpack.org/irc/ (you can see what I wrote there :))
< ssk99>
rcurtin: Saw them just now. :D
< rcurtin>
awesome :)
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