8000 DOC Ensures that GaussianProcessRegressor passes numpydoc validation by baam25simo · Pull Request #20981 · scikit-learn/scikit-learn · GitHub
[go: up one dir, main page]

Skip to content

DOC Ensures that GaussianProcessRegressor passes numpydoc validation #20981

New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Conversation

baam25simo
Copy link
Contributor

Reference Issues/PRs

Addresses #20308

What does this implement/fix? Explain your changes.

  • GaussianProcessRegressor removed from DOCSTRING_IGNORE_LIST in test_docstrings.py.
  • In GaussianProcessRegressor: "See Also" section added.
  • In GaussianProcessRegressor.fit: self description added.
  • In GaussianProcessRegressor.log_marginal_likelihood: summary fixed.
  • In GaussianProcessRegressor.predict: summary fixed.
  • In GaussianProcessRegressor.sample_y: n_sample description fixed.

@baam25simo baam25simo changed the title DOC Ensures GaussianProcessRegressor passes numpydoc validation DOC Ensures that GaussianProcessRegressor passes numpydoc validation Sep 8, 2021
@glemaitre glemaitre merged commit 0b782bc into scikit-learn:main Sep 9, 2021
@glemaitre
Copy link
Member

Thanks @baam25simo LGTM. Merging

Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment
Projects
None yet
Development

Successfully merging this pull request may close these issues.

2 participants
0