On 02/11/2015 04:22 PM, Timothy Vivian-Griffiths wrote: > Hi Gilles, > > Thank you so much for clearing this up for me. So, am I right in thinking > that the feature selection is carried for every CV-fold, and then once the > best parameters have been found, the pipeline is then run on the whole > training set in order to get the .best_estimator_? Yes. > > One final thing, I did manage to find out which of the predictors were being > chosen for the .best_estimator_ but it was not immediately clear how to do > it. In the end, I isolated them by doing the following: > > chosen_predictors = grid2.best_estimator_.steps[0][1].get_support() > I don't think there is an easier way to do this. If you have any idea how to expose this easier, suggestions welcome ;)
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