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DOC Improve the plot_gpy_noisy.py example#29788

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glemaitre merged 3 commits intoscikit-learn:mainfrom
ogrisel:doc-improve-plot_gpr_noisy.py
Sep 5, 2024
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DOC Improve the plot_gpy_noisy.py example#29788
glemaitre merged 3 commits intoscikit-learn:mainfrom
ogrisel:doc-improve-plot_gpr_noisy.py

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@ogrisel ogrisel commented Sep 5, 2024

While reviewing GP related issues and PR and found out that this example had several imprecise / misleading phrasing.

I also took the opportunity to tweak the resolution of the plots and to empirically illustrate the final comment on random restart by show how to use n_restarts_optimizer in practice.

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ogrisel commented Sep 5, 2024

/cc @ArturoAmorQ if you want to have a look.

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github-actions bot commented Sep 5, 2024

✔️ Linting Passed

All linting checks passed. Your pull request is in excellent shape! ☀️

Generated for commit: 0cc1378. Link to the linter CI: here

@ogrisel ogrisel added the Quick Review For PRs that are quick to review label Sep 5, 2024
@glemaitre glemaitre self-requested a review September 5, 2024 14:15
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I'm the culprit for this one. I'll give a review. Could you remove all the "will" and use the present tense :)

@glemaitre glemaitre changed the title Improve the plot_gpy_noisy.py example DOC Improve the plot_gpy_noisy.py example Sep 5, 2024
@glemaitre glemaitre enabled auto-merge (squash) September 5, 2024 15:31
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Enabling auto-merge. I'll change the use of "will" in another PR.

Thanks @ogrisel

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ogrisel commented Sep 5, 2024

Could you remove all the "will" and use the present tense :)

I missed that part. I can also do the follow-up PR tomorrow if needed.

@glemaitre glemaitre merged commit 35f8159 into scikit-learn:main Sep 5, 2024
@ogrisel ogrisel deleted the doc-improve-plot_gpr_noisy.py branch September 6, 2024 07:23
glemaitre added a commit to glemaitre/scikit-learn that referenced this pull request Sep 9, 2024
Co-authored-by: Guillaume Lemaitre <guillaume@probabl.ai>
glemaitre added a commit that referenced this pull request Sep 11, 2024
Co-authored-by: Guillaume Lemaitre <guillaume@probabl.ai>
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