I use Python 2.7 with Anaconda on Ubuntu. When I start Python with it I can import sklearn. But when I load tensorflow environment:$source activate tensorflowI cannot load sklearn, because the following command:>>>import sklearnresults the following:Segmentation fault (core dumped).If I left tensorflow environment I still can import sklearn. When I try to update sklearn in tensorflow enviromnent with conda update scikit-learn it produces:Error: package 'scikit-learn' is not installed.I am confused: why sklearn cannot run in tensorflow environment, why does it render sklearn not installed when it tries to import, and anyway, why should we use different environments to run tensorflow at the first place?
Error importing sklearn in tensorflow environment
scikit learn;tensorflow