Update nightly build URL and release staging config #16435
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ping @thomasjpfan and @adrinjalali. |
adrinjalali
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Feb 12, 2020
| @@ -26,7 +26,7 @@ Installing a nightly build is the quickest way to: | |||
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| pip install --pre -f https://sklearn-nightly.scdn8.secure.raxcdn.com scikit-learn | |||
| pip install --pre --extra-index https://pypi.anaconda.org/scipy-wheels-nightly/simple scikit-learn | |||
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oh wow, is it so slow? It's coming at a 35 kB/s for me
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It's on your end. From here I got 2.2 MB/s.
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It would be weird for this to be slower from within the anaconda offices :)
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I work mostly from home :D but it's a 50 mb/s connection otherwise. Since it's the nightly, I don't think it's that important anyway :)
thomasjpfan
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Feb 12, 2020
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* FIX ensure object array are properly casted when dtype=object (#16076) * DOC Docstring example of classifier should import classifier (#16430) * MNT Update nightly build URL and release staging config (#16435) * BUG ensure that estimator_name is properly stored in the ROC display (#16500) * BUG ensure that name is properly stored in the precision/recall display (#16505) * ENH Perform KNN imputation without O(n^2) memory cost (#16397) * bump scikit-learn version for binder * bump version to 0.22.2 * MNT Skips failing SpectralCoclustering doctest (#16232) * TST Updates test for deprecation in pandas.SparseArray (#16040) * move 0.22.2 what's new entries (#16586) * add 0.22.2 in the news of the web site frontpage * skip test_ard_accuracy_on_easy_problem Co-authored-by: alexshacked <al.shacked@gmail.com> Co-authored-by: Oleksandr Pavlyk <oleksandr-pavlyk@users.noreply.github.com> Co-authored-by: Olivier Grisel <olivier.grisel@ensta.org> Co-authored-by: Guillaume Lemaitre <g.lemaitre58@gmail.com> Co-authored-by: Joel Nothman <joel.nothman@gmail.com> Co-authored-by: Thomas J Fan <thomasjpfan@gmail.com>
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This should fix: #16412 and fix #16414.
This should be backported to the 0.22.X branch as soon as merged to update the /stable website.