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Differential D6654

Updated scikit-learn to 0.21.2
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Authored by maverick1 on Jul 2 2019, 11:52 AM.

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R2855:f7eb373033d6: Updated scikit-learn to 0.21.2

Summary

Updated scikit-learn to 0.21.

Changes:

Fixed a bug in cross_decomposition.CCA improving numerical stability when Y is close to zero
Fixed a bug in metrics.pairwise.euclidean_distances where a part of the distance matrix was left un-instanciated for suffiently large float32 datasets (regression introduced in 0.21).
Fixed a bug in preprocessing.OneHotEncoder where the new drop parameter was not reflected in get_feature_names.
Fixed an issue with plot_tree where it display entropy calculations even for gini criterion in DecisionTreeClassifiers
Fixed a bug where min_max_axis would fail on 32-bit systems for certain large inputs. This affects preprocessing.MaxAbsScaler, preprocessing.normalize and preprocessing.LabelBinarizer.

Test Plan

Ran examples codes from the website and plotted in matplotlib

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R2855 scikit-learn

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Event Timeline

maverick1 created this revision.Jul 2 2019, 11:52 AM

Herald added a reviewer: Triage Team. · View Herald TranscriptJul 2 2019, 11:52 AM

maverick1 requested review of this revision.Jul 2 2019, 11:52 AM

maverick1 mentioned this in D6655: Initial inclusion of python-joblib in the repo.Jul 2 2019, 11:56 AM

maverick1 added a parent revision: D6655: Initial inclusion of python-joblib in the repo.Jul 2 2019, 11:56 AM

LGTM, thanks!

This revision is now accepted and ready to land.Jul 2 2019, 5:12 PM

JoshStrobl mentioned this in R4767:5356c53b44bd: Initial inclusion of python-joblib in the repo.Jul 2 2019, 5:14 PM

Closed by commit R2855:f7eb373033d6: Updated scikit-learn to 0.21.2 (authored by maverick1, committed by JoshStrobl). · Explain WhyJul 2 2019, 5:16 PM

This revision was automatically updated to reflect the committed changes.

@JoshStrobl why did you remove .2 of the summary?

In D6654#105182, @maverick1 wrote:

@JoshStrobl why did you remove .2 of the summary?

Accidental when I went to cleanup the lack of newlines.

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