On 17/04/2012, Gael Varoquaux <[email protected]> wrote: > On Tue, Apr 17, 2012 at 02:56:13PM +0200, Lars Buitinck wrote: >> >> > This way people who don't read the doc (the majority of the users) >> >> > will not fall in the libsvm-gives-different-results trap and will >> >> > have >> >> > the tools to not fall in the statistical inconsistency trap if they >> >> > make the effort to read the doc. > >> >> + .5 > >> > +1 > >> +1 > > It seems to me that we are hearing here the people with large number of > samples who do not have the problems that scale_C=False creates saying > that they prefer this default choice. > > :(. Basically the impression that I have is that either choice we take, > we are breaking the library for a set of users. > >> > And we could add a warning in grid_search.py: > >> > if not getattr(clf, "scale_C", True): >> > warning.warning("scale_C=False is not recommended when using grid >> > search: see http:// for a discussion") > >> I'm not very fond of adding estimator-specific heuristics to >> general-purpose modules... > > I agree. This is a clearly a code smell, telling us that something is > wrong with our objects: they are unable to abstract out enough the > details of the model. > > G > > ------------------------------------------------------------------------------ > Better than sec? Nothing is better than sec when it comes to > monitoring Big Data applications. Try Boundary one-second > resolution app monitoring today. Free. > http://p.sf.net/sfu/Boundary-dev2dev > _______________________________________________ > Scikit-learn-general mailing list > [email protected] > https://lists.sourceforge.net/lists/listinfo/scikit-learn-general >
------------------------------------------------------------------------------ Better than sec? Nothing is better than sec when it comes to monitoring Big Data applications. Try Boundary one-second resolution app monitoring today. Free. http://p.sf.net/sfu/Boundary-dev2dev _______________________________________________ Scikit-learn-general mailing list [email protected] https://lists.sourceforge.net/lists/listinfo/scikit-learn-general
