DOC Ensures that metrics.pairwise.euclidean_distances passes numpydoc validation#21429
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glemaitre merged 10 commits intoscikit-learn:mainfrom Oct 24, 2021
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ogrisel
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LGTM. Thanks @embandera and @genvalen!
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| Array containing points. | ||
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| Y : {array-like, sparse matrix} of shape (n_samples_Y, n_features), \ | ||
| default=None |
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Just below, you can as well add:
An array where each row is a sample and each column is a feature.
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You still need to add this line here.
Co-authored-by: Guillaume Lemaitre <g.lemaitre58@gmail.com>
Co-authored-by: Guillaume Lemaitre <g.lemaitre58@gmail.com>
Co-authored-by: Guillaume Lemaitre <g.lemaitre58@gmail.com>
Co-authored-by: Guillaume Lemaitre <g.lemaitre58@gmail.com>
Co-authored-by: Guillaume Lemaitre <g.lemaitre58@gmail.com>
glemaitre
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Oct 23, 2021
Co-authored-by: Guillaume Lemaitre <g.lemaitre58@gmail.com>
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Thanks @embandera |
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… validation (scikit-learn#21429) Co-authored-by: Guillaume Lemaitre <g.lemaitre58@gmail.com>
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… validation (scikit-learn#21429) Co-authored-by: Guillaume Lemaitre <g.lemaitre58@gmail.com>
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… validation (scikit-learn#21429) Co-authored-by: Guillaume Lemaitre <g.lemaitre58@gmail.com>
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… validation (#21429) Co-authored-by: Guillaume Lemaitre <g.lemaitre58@gmail.com>
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Reference Issues/PRs
Addresses #21350
#DataUmbrella
What does this implement/fix? Explain your changes.
This PR ensures metrics.pairwise.euclidean_distances is compatible with numpydoc:
Any other comments?
Partner: @genvalen