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MNT Better error message for MinMaxScaler and sparse data #15695

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Nov 21, 2019
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MNT Better error message for MinMaxScaler and sparse data #15695

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4 changes: 2 additions & 2 deletions sklearn/preprocessing/_data.py
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Original file line number Diff line number Diff line change
Expand Up @@ -365,8 +365,8 @@ def partial_fit(self, X, y=None):
" than maximum. Got %s." % str(feature_range))

if sparse.issparse(X):
raise TypeError("MinMaxScaler does no support sparse input. "
"You may consider to use MaxAbsScaler instead.")
raise TypeError("MinMaxScaler does not support sparse input. "
"Consider using MaxAbsScaler instead.")

X = check_array(X,
estimator=self, dtype=FLOAT_DTYPES,
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