On 06/01/2013 01:03 PM, Joel Nothman wrote: > I haven't seen any patch for this precisely, though it's a known issue > (even if it doesn't seem to be explicitly ticketed; it's closest to > https://github.com/scikit-learn/scikit-learn/issues/1179). There are > various tricky cases not currently supported for which it's easiest to > roll your own search and/or pipeline infrastructures. > > Part of the issue is that presumably (or perhaps not?) your search > objective function needs to adjust for weights as well as the training > procedure, and currently our metrics don't support that (work in > progress at https://github.com/scikit-learn/scikit-learn/pull/1574). This is the one I meant.
> > After that's in place there's still an API issue to apply this > generally: if `BaseSearchCV.fit` were modified to take extra arguments > that needed to be split in cross-validation, when are they passed to > `fit` and when to `score`? Perhaps that's not so hard if we're only > considering sample_weight. (And if Pipeline were modified to support > sample_weight, should it presume it to pass sample_weight to *all* its > transformers? to those accepting the parameter? to none but the last > estimator?) Questions like that are what made me suggest to split 1574 from the AdaBoost pr ;) Cheers, Andy ------------------------------------------------------------------------------ Get 100% visibility into Java/.NET code with AppDynamics Lite It's a free troubleshooting tool designed for production Get down to code-level detail for bottlenecks, with <2% overhead. Download for free and get started troubleshooting in minutes. http://p.sf.net/sfu/appdyn_d2d_ap2 _______________________________________________ Scikit-learn-general mailing list Scikit-learn-general@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/scikit-learn-general
