Please open an issue on the issue tracker:
https://github.com/scikit-learn/scikit-learn/issues
On 10/11/2016 08:19 AM, Gabriel Trautmann wrote:
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
<[email protected] <mailto:[email protected]>> 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
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