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Update autosklearn/pipeline/components/data_preprocessing/categorical…
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…_encoding/encoding.py

Co-authored-by: Matthias Feurer <[email protected]>
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eddiebergman and mfeurer authored Nov 30, 2021
1 parent d30a42f commit 194d8fa
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Expand Up @@ -29,7 +29,7 @@ def fit(self, X: PIPELINE_DATA_DTYPE,
self.preprocessor.fit(X, y)
return self
else:
# TODO spare_encoding of negative labels
# TODO sparse_encoding of negative labels
#
# The next step in the pipeline relies on positive labels
# Given a categorical column [[0], [-1]], the next step will fail
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