Thank you for your response, have Windows 7 Enterprise 64 bit / Intel Xeon E5 2640 CPU, same problem on two similar machines
python-3.5.2-amd64.exe - fresh installation numpy-1.11.2+mkl-cp35-cp35m-win_amd64.whl - from Christoph Gohlke scipy-0.18.1-cp35-cp35m-win_amd64.whl pip install scikit-lean on the same python instance if I downgrade to version 0.17 is much faster. pip uninstall scikit-lean pip install scikit-lean==0.17 I will open an issue after I test on more machines or if someone else can reproduce the problem. On Tue, Oct 11, 2016 at 3:02 PM, Olivier Grisel <olivier.gri...@ensta.org> wrote: > I cannot reproduce such a degradation on my machine: > > (sklearn-0.17)ogrisel@is146148:~/code/scikit-learn$ python > ~/tmp/bench_vectorizer.py > scikit-learn 0.17.1. Numpy 1.11.2. Python 3.5.0 x86_64 > Vectorizing 20newsgroup 11314 documents > Vectorization completed in 4.033604383468628 seconds, resulting > shape (11314, 1048576) > > (sklearn-0.18) ogrisel@is146148:~/code/scikit-learn$ python > ~/tmp/bench_vectorizer.py > scikit-learn 0.18. Numpy 1.11.2. Python 3.5.0 x86_64 > Vectorizing 20newsgroup 11314 documents > Vectorization completed in 4.990509510040283 seconds, resulting > shape (11314, 1048576) > > Which operating system are you using? > > Please feel free to open an issue on the tracker anyway. > > -- > Olivier > _______________________________________________ > scikit-learn mailing list > scikit-learn@python.org > https://mail.python.org/mailman/listinfo/scikit-learn >
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