[MRG] prefer threads for IsolationForest#12543
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rth merged 2 commits intoscikit-learn:masterfrom Nov 7, 2018
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Co-Authored-By: ogrisel <olivier.grisel@ensta.org>
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LGTM! Thanks @ogrisel
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…ybutton * upstream/master: FIX YeoJohnson transform lambda bounds (scikit-learn#12522) [MRG] Additional Warnings in case OpenML auto-detected a problem with dataset (scikit-learn#12541) ENH Prefer threads for IsolationForest (scikit-learn#12543) joblib 0.13.0 (scikit-learn#12531) DOC tweak KMeans regarding cluster_centers_ convergence (scikit-learn#12537) DOC (0.21) Make sure plot_tree docs are generated and fix link in whatsnew (scikit-learn#12533) ALL Add HashingVectorizer to __all__ (scikit-learn#12534) BLD we should ensure continued support for joblib 0.11 (scikit-learn#12350) fix typo in whatsnew Fix dead link to numpydoc (scikit-learn#12532) [MRG] Fix segfault in AgglomerativeClustering with read-only mmaps (scikit-learn#12485) MNT (0.21) OPTiCS change the default `algorithm` to `auto` (scikit-learn#12529) FIX SkLearn `.score()` method generating error with Dask DataFrames (scikit-learn#12462) MNT KBinsDiscretizer.transform should not mutate _encoder (scikit-learn#12514)
thoo
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thoo
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Do we want this in 0.20.1? |
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I am fine with it. It was a performance problem. Not sure it counts as a strict bug fix though. +0. |
xhluca
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xhluca
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Apr 28, 2019
This reverts commit 664a23c.
xhluca
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Apr 28, 2019
This reverts commit 664a23c.
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Fixes #12469.
I re-ran @istorch's example snippets profiled by
memory_profilerand as expected the call toParallelhas a memory increment lower than 20MB (instead of 4GB as previously).