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scikit-learn__scikit-learn-10949

Based on the issue description and my knowledge of the scikit-learn codebase, I can provide the fix. The issue is in sklearn/utils/validation.py where the check_array function handles warn_on_dtype. The problem is that when the input is a…

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Content

Based on the issue description and my knowledge of the scikit-learn codebase, I can provide the fix. The issue is in `sklearn/utils/validation.py` where the `check_array` function handles `warn_on_dtype`. The problem is that when the input is a pandas DataFrame, it gets converted to a numpy array first, and the `dtype_orig` variable (which tracks the original dtype for warning purposes) is set after this conversion happens, so it doesn't capture the original DataFrame's dtype.

Here's the patch that fixes this issue:

--- a/sklearn/utils/validation.py
+++ b/sklearn/utils/validation.py
@@ -396,

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