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scikit-learn__scikit-learn-10508

Based on the issue description and error traceback, I can generate the fix. The problem is in sklearn/preprocessing/label.py at the transform method (around line 134). When an empty list is passed to transform(), numpy creates an array…

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Content

Based on the issue description and error traceback, I can generate the fix. The problem is in `sklearn/preprocessing/label.py` at the `transform` method (around line 134). When an empty list is passed to `transform()`, numpy creates an array with dtype `float64`, but `np.searchsorted` fails when trying to cast from `float64` to the string dtype of `self.classes_`.

The fix is to handle the empty input case by checking if the input array is empty and returning an empty integer array immediately.

Here's the patch:

--- a/sklearn/preprocessing/label.py
+++ b/sklearn/preprocessing/label.py
@@ -12

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