Hi Roberto, One option it could be to make a wrapper and serialize your pipeline in your wrapper's fit method. After the serialization you could load the pipeline anytime and inspect whatever you want. I have coded an example in the following gist.
https://gist.github.com/chkoar/2993a6e3f6bae1887eabc3fa27bb06a6 Best, Chris On Thu, Mar 29, 2018 at 12:16 PM, Roberto Guidotti <robbenso...@gmail.com> wrote: > Hi scikit-learners, > > I have a simple Pipeline with Feature Selection and SVC classifier and I > use it in a cross validation schema with cross_validate / > cross_validation_score functions. > I need to extract the selected features for each fold of the CV and in > general get information about the fitted elements of the pipeline in each > of the CV fold. > > Is there a way to get these information (e.g. fs.get_support() or > fs.scores_) or I need to build my own cross_validate function? > > Thank you, > Roberto > > -- > Ing. Roberto Guidotti, PhD. > PostDoc Fellow > Institute for Advanced Biomedical Technologies - ITAB > Department of Neuroscience and Imaging > University of Chieti "G. D'Annunzio" > Via dei Vestini, 33 > 66013 Chieti, Italy > tel: +39 0871 3556919 > e-mail: r.guido...@unich.it; rguido...@acm.org > linkedin: http://it.linkedin.com/in/robertogui/ > twitter: @robbisg > github: https://github.com/robbisg > > _______________________________________________ > scikit-learn mailing list > scikit-learn@python.org > https://mail.python.org/mailman/listinfo/scikit-learn > >
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