ENH Raise NotFittedError in get_feature_names_out for Imputers and Isotonic Regression #25367
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glemaitre
reviewed
Jan 13, 2023
| @@ -41,7 +41,11 @@ Changes impacting all modules | |||
| raises a `NotFittedError` if the instance is not fitted. This ensures the error is | |||
| consistent in all estimators with the `get_feature_names_out` method. | |||
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| - :class:`feature_extraction.text.TfidfTransformer` | |||
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I reordered those to be in alphabetic order.
glemaitre
approved these changes
Jan 13, 2023
36 tasks
|
Extended this PR to include isotonic regression based on #24916 (comment) |
thomasjpfan
approved these changes
Jan 18, 2023
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Reference Issues/PRs
Towards #24916
What does this implement/fix? Explain your changes.
Includes
check_is_fittedfor the following Imputers:Also includes
check_is_fittedfor Isotonic RegressionAny other comments?
Test passes
pytest -vsl sklearn/tests/test_common.py -k estimators_get_feature_names_out_error