8000 DOC Clarify use_idf in TfidfTransformer/TfidfVectorizer docstrings (#… · scikit-learn/scikit-learn@8ad7c3f · GitHub
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DOC Clarify use_idf in TfidfTransformer/TfidfVectorizer docstrings (#21213)
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‎sklearn/feature_extraction/text.py

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@@ -1504,7 +1504,7 @@ class TfidfTransformer(_OneToOneFeatureMixin, TransformerMixin, BaseEstimator):
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See :func:`preprocessing.normalize`.
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use_idf : bool, default=True
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Enable inverse-document-frequency reweighting.
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Enable inverse-document-frequency reweighting. If False, idf(t) = 1.
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smooth_idf : bool, default=True
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Smooth idf weights by adding one to document frequencies, as if an
@@ -1842,7 +1842,7 @@ class TfidfVectorizer(CountVectorizer):
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See :func:`preprocessing.normalize`.
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use_idf : bool, default=True
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Enable inverse-document-frequency reweighting.
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Enable inverse-document-frequency reweighting. If False, idf(t) = 1.
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smooth_idf : bool, default=True
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Smooth idf weights by adding one to document frequencies, as if an

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