DOC add link to plot_gpr_noisy_targets example in _gpr.py#30850
Merged
adrinjalali merged 4 commits intoscikit-learn:mainfrom Feb 19, 2025
Merged
DOC add link to plot_gpr_noisy_targets example in _gpr.py#30850adrinjalali merged 4 commits intoscikit-learn:mainfrom
adrinjalali merged 4 commits intoscikit-learn:mainfrom
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That looks very good. Thank you @emma-carballal!
Just a little nit.
The failing checks are due to failing http requests and should vanish once the CI is triggered again with the push to add the dot.
Co-authored-by: Stefanie Senger <91849487+StefanieSenger@users.noreply.github.com>
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I think this is ready to merge. Would you have a look @adrinjalali or @marenwestermann? |
StefanieSenger
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Feb 19, 2025
adrinjalali
approved these changes
Feb 19, 2025
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Reference Issues/PRs
Towards #30621
What does this implement/fix? Explain your changes.
@StefanieSenger This is a first contribution in preparation for the PyLadies scikit-learn contribution sprint, and I selected this issue as a good-first-issue to improve documentation.
This PR adds a link to example
plot_gpr_noisy_targets.py(Gaussian Processes regression: basic introductory example) in the docstring of the parameteralphaof the GaussianProcessRegressor class in scikit-learn/sklearn/gaussian_process/_gpr.pyThe example uses
alpha=noise_std**2to handle noisy targets, illustrating its application.Any other comments?
I've checked a test build of the documentation to make sure it renders correctly.
This example is already linked in the Examples section of 1.7.1. Gaussian Process Regression of the User Guide.