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Update docs to indicate shuffle=True still maintains sample order within each split #16085

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Merged
merged 2 commits into from
Jan 10, 2020

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madhuracj
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Reference Issues/PRs

Fixes #16068

What does this implement/fix? Explain your changes.

As suggested in #16068, updated the documentation to indicate shuffle=True still maintains sample order within each split

Any other comments?

@jnothman jnothman merged commit 1c422ca into scikit-learn:master Jan 10, 2020
@madhuracj madhuracj deleted the fix16068 branch January 10, 2020 03:25
@NicolasHug
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Sorry I'm a bit late, but without context the new docstring is quite confusing to me.

@jnothman
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jnothman commented Jan 14, 2020 via email

@NicolasHug
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I have read through #16068 but I honestly don't understand what the problem is.

Note that the samples within each split will not be shuffled.

What does that mean? shuffle=True will shuffle the data and then create splits. I can't imagine any other way, perhaps that's why I don't see where there might be an issue.

thomasjpfan pushed a commit to thomasjpfan/scikit-learn that referenced this pull request Feb 22, 2020
panpiort8 pushed a commit to panpiort8/scikit-learn that referenced this pull request Mar 3, 2020
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Successfully merging this pull request may close these issues.

Shuffle does not work properly in Kfolds (stratified or not)
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