FIX Validate estimators in Voting{Classifier,Regressor} #30649
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OmarManzoor
approved these changes
Jan 15, 2025
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OmarManzoor
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Otherwise LGTM. Thanks @thomasjpfan
Co-authored-by: Omar Salman <[email protected]>
lesteve
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Jan 17, 2025
sklearn/ensemble/_base.py
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| def _validate_estimators(self): | ||
| if len(self.estimators) == 0: | ||
| if len(self.estimators) == 0 or not all( | ||
| isinstance(item, tuple) and isinstance(item[0], str) |
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Not sure how much we care, but the previous code was working fine with lists rather than tuple and with this PR it would be an error, i.e. when using estimators=[['name', LogisticRegression()]] rather than estimators=[('name', LogisticRegression())]
I guess this is documented as a list of tuples but you never know people may be using list of lists in the wild ...
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I'm +1 to silently allow lists as well.
For instance in Pipeling, ColumnTransformer, ... we silently allow tuples in addition to lists.
lesteve
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Jan 21, 2025
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Thanks, let's merge this one! |
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Reference Issues/PRs
Fixes #30622
What does this implement/fix? Explain your changes.
This PR adds a little more validation to make sure
estimatorsis correct inVotingClassiferandVotingRegressor.