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DOC Add wikipedia principal eigenvector example to API docs #30017

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Merged
merged 5 commits into from
Oct 8, 2024
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DOC Add wikipedia principal eigenvector example to API docs #30017

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c78f423
ref link to wikipedia_principal_eigenvector.py in randomized_svd
azyleee Oct 6, 2024
295bbd2
linting - black and ruff
azyleee Oct 7, 2024
1bd90ad
Merge branch 'scikit-learn:main' into issue26927-wikipedia
azyleee Oct 7, 2024
407429a
move the example in the long summary and refer to Google PageRank
glemaitre Oct 8, 2024
b8b62c3
grammar
glemaitre Oct 8, 2024
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6 changes: 6 additions & 0 deletions sklearn/utils/extmath.py
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Expand Up @@ -373,6 +373,12 @@ def randomized_svd(
This method solves the fixed-rank approximation problem described in [1]_
(problem (1.5), p5).

Refer to
:ref:`sphx_glr_auto_examples_applications_wikipedia_principal_eigenvector.py`
for a typical example where the power iteration algorithm is used to rank web pages.
This algorithm is also known to be used as a building block in Google's PageRank
algorithm.

Parameters
----------
M : {ndarray, sparse matrix}
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