On 01/09/2012 12:19 PM, Mathieu Blondel wrote: > On Mon, Jan 9, 2012 at 7:40 PM, Gael Varoquaux > <[email protected]> wrote: > > >> Can it be that if nu is None C is used, or do you thihnk that this is >> confusing? >> > That wouldn't work for NuSVR, which uses both C and nu (I know, it's > confusing). > > If we merge C-SVM and nu-SVM classes, users may think that they can > obtain better results by switching from one formulation to the other. > If this is not the case, this may be confusing. > > From my understanding, the results should not really change. I don't know if any one has any actual experience with that.
Alternative to "algorithm" (which I feel is not really appropriate as both are solved either using SMO or CG), we could use "parametrization" or "formulation". I am undecided about using "nu" as the switching parameters. Generally I think less parameters are always better. Turning it around in my head, it might be a good idea (if documented correctly - which should be pretty easy) """nu: If this parameter is set, use "nu-SVM" formulation instead of standard "C-SVM" parametrization. Trades of generalization and training error. See docs.""" Yeah, I could live with that. ------------------------------------------------------------------------------ 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
