FIX StandardScaler.inverse_transform raise error when the input is a 1d array #19752
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ogrisel
reviewed
Mar 29, 2021
Thanks for the PR. Could you please add a new test in sklearn/preprocessing/tests/test_data.py that checks the new behavior only for StandardScaler in isolation?
Please also add a new entry in doc/whats_new/v1.0.rst.
Co-authored-by: Thomas J. Fan <[email protected]>
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Hey guys, since the PR has been opened for a couple month, just checking if there is any other changes that I need to work on regarding this issue? |
thomasjpfan
approved these changes
Jun 19, 2021
Thank you for the ping @MaxwellLZH
I synced this PR with main and I think its ready to merge.
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Thanks @MaxwellLZH |
TomDLT
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Jul 29, 2021
…1d array (scikit-learn#19752) Co-authored-by: Thomas J. Fan <[email protected]> Co-authored-by: Guillaume Lemaitre <[email protected]>
samronsin
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Nov 30, 2021
…1d array (scikit-learn#19752) Co-authored-by: Thomas J. Fan <[email protected]> Co-authored-by: Guillaume Lemaitre <[email protected]>
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Reference Issues/PRs
This is a fix to issue #19518.
What does this implement/fix? Explain your changes.
Added check_array in
StandardScaler.inverse_transform, and fixed failing test cases.The text was updated successfully, but these errors were encountered: