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
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