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In [3]: from sklearn.preprocessing import LabelEncoder
...: LabelEncoder().fit_transform(y=[0, 1 ,2])
Out[3]: array([0, 1, 2])Works for me. |
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This bug was issued in #26854 and resolved some time ago. Forgot to close this. |
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Hi,
I get the following error when running this piece of code:
Output:
TypeError: LabelEncoder.transform() missing 1 required positional argument: 'X'Why am I getting this error when there is no
Xparameter? And why does it not happen when I runle = LabelEncoder().fit_transform([0,1 ,2 ])(withouty=)?Looking at the source code I can't see why using a keyword argument would make it fail.
scikit-learn/sklearn/preprocessing/_label.py
Lines 118 to 135 in 7f9bad9
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