Thank you Gael, Fabrizio
On Jan 18, 2016, at 9:06 AM, Gael Varoquaux wrote: > You can always "fit" the feature selection on one dataset and apply it on > another. However, you will have to do this outside the pipeline and > cross-validation framework of scikit-learn. > > Outside the framework, everything is possible by calling the "fit", > "transform", and "predict" methods of the various objects. > > Gaël > > On Fri, Jan 15, 2016 at 07:55:45PM +0100, Fabrizio Fasano wrote: >> Thank a lot, Andreas, > >> if they are not i.i.d. (for example, different subsets of features having >> different nature and/or some dependencies between those subsets) do I have >> to apply prior ANOVA feature reduction to a first dataset and subsequent SVM >> to a second dataset, i.e. using something like an a-priori? Or there are >> other (scikit learn supported) CV methods? > >> Thank you very much again, > >> Best, > >> Fabrizio > >> On Jan 15, 2016, at 7:44 PM, Andreas Mueller wrote: > > > >>> On 01/15/2016 01:16 PM, Fabrizio Fasano wrote: >>>> Dear community, > >>>> I would like to use ANOVA + SVM pipeline to check 2 group classification >>>> performances of neuroimaging datasets, > >>>> My questions are: > >>>> 1) In pipeline approach implemented by Scikit-learn >>>> (http://scikit-learn.org/stable/auto_examples/svm/plot_svm_anova.html) is >>>> the cross validation implemented on the whole pipeline (different >>>> univariate feature selection for every fold)? >>> Yes >>>> 2) Is this enough to exclude I'm introducing a problem in generalization? > >>> Yes if your data is i.i.d. >>> If your data is not i.i.d. you might need to change your >>> cross-validation strategy. > >>> ------------------------------------------------------------------------------ >>> Site24x7 APM Insight: Get Deep Visibility into Application Performance >>> APM + Mobile APM + RUM: Monitor 3 App instances at just $35/Month >>> Monitor end-to-end web transactions and take corrective actions now >>> Troubleshoot faster and improve end-user experience. Signup Now! >>> http://pubads.g.doubleclick.net/gampad/clk?id=267308311&iu=/4140 >>> _______________________________________________ >>> Scikit-learn-general mailing list >>> Scikit-learn-general@lists.sourceforge.net >>> https://lists.sourceforge.net/lists/listinfo/scikit-learn-general > > >> ------------------------------------------------------------------------------ >> Site24x7 APM Insight: Get Deep Visibility into Application Performance >> APM + Mobile APM + RUM: Monitor 3 App instances at just $35/Month >> Monitor end-to-end web transactions and take corrective actions now >> Troubleshoot faster and improve end-user experience. Signup Now! >> http://pubads.g.doubleclick.net/gampad/clk?id=267308311&iu=/4140 >> _______________________________________________ >> Scikit-learn-general mailing list >> Scikit-learn-general@lists.sourceforge.net >> https://lists.sourceforge.net/lists/listinfo/scikit-learn-general > > -- > Gael Varoquaux > Researcher, INRIA Parietal > NeuroSpin/CEA Saclay , Bat 145, 91191 Gif-sur-Yvette France > Phone: ++ 33-1-69-08-79-68 > http://gael-varoquaux.info http://twitter.com/GaelVaroquaux > > ------------------------------------------------------------------------------ > Site24x7 APM Insight: Get Deep Visibility into Application Performance > APM + Mobile APM + RUM: Monitor 3 App instances at just $35/Month > Monitor end-to-end web transactions and take corrective actions now > Troubleshoot faster and improve end-user experience. Signup Now! > http://pubads.g.doubleclick.net/gampad/clk?id=267308311&iu=/4140 > _______________________________________________ > Scikit-learn-general mailing list > Scikit-learn-general@lists.sourceforge.net > https://lists.sourceforge.net/lists/listinfo/scikit-learn-general ------------------------------------------------------------------------------ Site24x7 APM Insight: Get Deep Visibility into Application Performance APM + Mobile APM + RUM: Monitor 3 App instances at just $35/Month Monitor end-to-end web transactions and take corrective actions now Troubleshoot faster and improve end-user experience. Signup Now! http://pubads.g.doubleclick.net/gampad/clk?id=267308311&iu=/4140 _______________________________________________ Scikit-learn-general mailing list Scikit-learn-general@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/scikit-learn-general
