On Fri, Jan 27, 2012 at 04:58:30PM +0100, Olivier Grisel wrote: > I would advise you to start by experimenting with your own version of > GridSearchCV (by deriving from the version of sklearn) and passing a > LoadBalancedView instance as argument to the constructor and use it in > the fit method instead of calling joblib.
This does sound like a good excercice. This kind of prototypes will enable us to have better ideas of the challenges and their solutions. > This might be done by extending joblib to be able to deal with > distributed infrastructure, or this could be done at sklearn level by > refactoring the existing classes to make them more pluggable with > IPython.parallel I would really like to avoid having any direct import to IPython in scikit-learn: I would like our set of dependencies to stick to scipy, numpy, and optionally matplotlib for the examples (note that this also means that I would like to get rid of the pyamg dependency, that has proven a source of test failures that we don't catch early). Gael ------------------------------------------------------------------------------ Try before you buy = See our experts in action! The most comprehensive online learning library for Microsoft developers is just $99.99! Visual Studio, SharePoint, SQL - plus HTML5, CSS3, MVC3, Metro Style Apps, more. Free future releases when you subscribe now! http://p.sf.net/sfu/learndevnow-dev2 _______________________________________________ Scikit-learn-general mailing list [email protected] https://lists.sourceforge.net/lists/listinfo/scikit-learn-general
