On Tue, Apr 17, 2012 at 04:22:50PM +0200, Alexandre Gramfort wrote: > what would be the semantic of scale_params?
scale_params=False by default scale_params=True would scale the parameters by a data-dependent terms such as C_min. > shall we touch every estimator No, because for some estimators we do not have a good heuristic to set the scale. As we gain better understandings of the various estimators, hopefully we'll come up with scale_params for them. > or assume scale_params=True if not present as attribute? In the GridSearchCV, we should test if an estimator has a 'scale_params' parameter (using get_param_names) and then check if it is set to false, and then, and only then, complain. 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
