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To have the most consistent documentation when it comes to the API, we could use the NumPyDoc validator: https://numpydoc.readthedocs.io/en/latest/validation.html
We have such implementation in scikit-learn. It catches discrepancy at the moment where we introduce new documentation.
The text was updated successfully, but these errors were encountered:
auguste-probabl
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To have the most consistent documentation when it comes to the API, we could use the NumPyDoc validator: https://numpydoc.readthedocs.io/en/latest/validation.html
We have such implementation in scikit-learn. It catches discrepancy at the moment where we introduce new documentation.
The text was updated successfully, but these errors were encountered: