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DOC Ensures that SpectralCoclustering passes numpydoc validation #21282
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SpectralClustering: Performs a low-dimension embedding of the | ||
affinity matrix between samples, followed by clustering, e.g., by KMeans, | ||
of the components of the eigenvectors in the low dimensional space. |
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I am not able to make suggestions. I assume that when opening the PR, you unchecked the checkbox that allows maintainers to make some editing.
Here, you should replace with:
SpectralClustering : Apply clustering to a projection of the normalized Laplacian.
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Returns | ||
------- | ||
self: object |
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Replace with
self : object
Returns | ||
------- | ||
self: object | ||
Fitted biclustering for X. |
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Replace with
Returns a fitted instance.
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y : Ignored | ||
Not used. |
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Replace with
y : Ignored
Not used, present for API consistency by convention.
Addressed in #21463 |
Reference Issues/PRs
Addresses #20308
What does this implement/fix? Explain your changes.
Any other comments?