Hi all, Just a quick note: I opened a new repository https://github.com/jakevdp/pyDistances where I'm working on distance functions which can be incorporated into BallTree (this is expanded from the gist I sent around earlier). Feel free to take a look. Some of it necessarily overlaps with parts of scipy.spatial and sklearn.metrics: this is because I will need to expose a C function for each metric that can be utilized by BallTree. As this project progresses, we can discuss how this could best fit into scikit-learn. Thanks Jake
------------------------------------------------------------------------------ Ridiculously easy VDI. With Citrix VDI-in-a-Box, you don't need a complex infrastructure or vast IT resources to deliver seamless, secure access to virtual desktops. With this all-in-one solution, easily deploy virtual desktops for less than the cost of PCs and save 60% on VDI infrastructure costs. Try it free! http://p.sf.net/sfu/Citrix-VDIinabox _______________________________________________ Scikit-learn-general mailing list [email protected] https://lists.sourceforge.net/lists/listinfo/scikit-learn-general
