[scikit-learn] Get parameters of classes in a Pipeline within cross_validate

[Andreas Mueller]

This is implemented in the current development version:
https://github.com/scikit-learn/scikit-learn/pull/9686

On 03/29/2018 05:16 AM, Roberto Guidotti 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.guidotti at unich.it <mailto:r.guidotti at unich.it>; 
> rguidotti at acm.org <mailto:rguidotti at acm.org>
> linkedin: http://it.linkedin.com/in/robertogui/
> twitter: @robbisg
> github: https://github.com/robbisg
>
>
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