2011/10/7 <[email protected]>: > We wrestled with exactly this issue for decision trees, so its clear now that > a general solution would be very beneficial to scikit-learn.
For liblinear it might be a bit complicated since both the C++ code and the cython wrapper would have to be rewritten to generate the two versions (single and double precision) using some kid of preprocessor at built time. Furthermore that would make upgrading from one version of liblinear to another more complicate since we would have propagate the same source level modifications each time. For SGDClassifier, this is a single pure cython file that we fully control. Does anybody knows if there is an easy way to script cython to generate 2 versions of the function, one for single precision input and the other for double precision? Or will we have to use an adhoc source file transformation scheme? -- Olivier http://twitter.com/ogrisel - http://github.com/ogrisel ------------------------------------------------------------------------------ All of the data generated in your IT infrastructure is seriously valuable. Why? It contains a definitive record of application performance, security threats, fraudulent activity, and more. Splunk takes this data and makes sense of it. IT sense. And common sense. http://p.sf.net/sfu/splunk-d2dcopy2 _______________________________________________ Scikit-learn-general mailing list [email protected] https://lists.sourceforge.net/lists/listinfo/scikit-learn-general
