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2 changes: 2 additions & 0 deletions sklearn/compose/_column_transformer.py
Original file line number Diff line number Diff line change
Expand Up @@ -731,6 +731,8 @@ def make_column_transformer(*transformers, **kwargs):
['categorical_column'])])

"""
# transformer_weights keyword is not passed through because the user
# would need to know the automatically generated names of the transformers
n_jobs = kwargs.pop('n_jobs', None)
remainder = kwargs.pop('remainder', 'drop')
sparse_threshold = kwargs.pop('sparse_threshold', 0.3)
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4 changes: 2 additions & 2 deletions sklearn/compose/tests/test_column_transformer.py
Original file line number Diff line number Diff line change
Expand Up @@ -454,12 +454,12 @@ def test_make_column_transformer_kwargs():
norm = Normalizer()
ct = make_column_transformer(('first', scaler), (['second'], norm),
n_jobs=3, remainder='drop',
sparse_threshold=0.3)
sparse_threshold=0.5)
assert_equal(ct.transformers, make_column_transformer(
('first', scaler), (['second'], norm)).transformers)
assert_equal(ct.n_jobs, 3)
assert_equal(ct.remainder, 'drop')
assert_equal(ct.sparse_threshold, 0.3)
assert_equal(ct.sparse_threshold, 0.5)
# invalid keyword parameters should raise an error message
assert_raise_message(
TypeError,
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