[python-package] take shallow copy of dataframe in predict (fixes #6195)#6218
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[python-package] take shallow copy of dataframe in predict (fixes #6195)#6218
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Haha no worries. I missed it too when reviewing, the predict path wasn't clear (feature_name='auto' leading to the shallow copy). |
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This pull request has been automatically locked since there has not been any recent activity since it was closed. To start a new related discussion, open a new issue at https://github.com/microsoft/LightGBM/issues including a reference to this. |
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Takes a shallow copy of the dataframe in the
_data_from_pandasfunction to avoid modifying it when converting categorical features to their codes. This used to always be done (implicitly) for predict until #6066, since the function is called withfeature_name='auto'and thecopyargument ofpandas.DataFrame.renameis passed as thedeepargument topandas.DataFrame.copy, however that behavior wasn't obvious.Fixes #6195.
Also updates the test that verifies the original dataframe isn't modified to now consider the case of unseen categories, which fails in the current master and should prevent #6195 from happening again.