2012/8/24 Alex Wiltschko <[email protected]>: > Hello all, > > Long time user of scikits-learn, first time posting here. > I implemented a self-organizing (aka Kohonen) map with Numba. It's fast. I'd > like to share it with the scientific python community. Can I contribute it > to scikits-learn?
numba (because of llvm) is a too large dependency to be accepted in scikit-learn for now. As anybody tried to make it work under windows for instance? Maybe in a year or two, once numba as reached more maturity we might reimplement everything with it but it's way to early to think about that now IMHO. > Here's a notebook with a run-down of how it works: > http://nbviewer.ipython.org/3407544 (the source: > https://gist.github.com/3407544) > > I don't know much about how scikits-learn structures unsupervised learning > methods, but if there's interest, and perhaps someone to point me to a brief > run-down on how to format my work for inclusion in scikits-learn, I'd love > the chance to contribute. This is a very interesting work. You should blog it. It's great to demonstrate the promise of the numba approach with real working algorithm implementations. In the mean time if your want to start a new github repo with implementations of machine learning algorithm that rely on numba as the execution accelerator and that follow the scikit-learn coding conventions / style / community contribution rules I am sure others might be interested in contributing / experimenting with numba. -- Olivier http://twitter.com/ogrisel - http://github.com/ogrisel ------------------------------------------------------------------------------ Live Security Virtual Conference Exclusive live event will cover all the ways today's security and threat landscape has changed and how IT managers can respond. Discussions will include endpoint security, mobile security and the latest in malware threats. http://www.accelacomm.com/jaw/sfrnl04242012/114/50122263/ _______________________________________________ Scikit-learn-general mailing list [email protected] https://lists.sourceforge.net/lists/listinfo/scikit-learn-general
