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Update autosklearn/pipeline/components/data_preprocessing/categorical_encoding/encoding.py
Co-authored-by: Matthias Feurer <[email protected]>
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autosklearn/pipeline/components/data_preprocessing/categorical_encoding/encoding.py

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@@ -29,7 +29,7 @@ def fit(self, X: PIPELINE_DATA_DTYPE,
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self.preprocessor.fit(X, y)
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return self
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else:
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# TODO spare_encoding of negative labels
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# TODO sparse_encoding of negative labels
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#
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# The next step in the pipeline relies on positive labels
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# Given a categorical column [[0], [-1]], the next step will fail

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