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FIX ‘sparse’ kwarg was not used by fowlkes_mallows_score #28981

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3 changes: 3 additions & 0 deletions doc/whats_new/upcoming_changes/sklearn.metrics/28981.api.rst
Original file line number Diff line number Diff line change
@@ -0,0 +1,3 @@
- The `sparse` parameter of :func:`metrics.fowlkes_mallows_score` is deprecated and
will be removed in 1.9. It has no effect.
By :user:`Luc Rocher <cynddl>`.
18 changes: 15 additions & 3 deletions sklearn/metrics/cluster/_supervised.py
Original file line number Diff line number Diff line change
Expand Up @@ -15,7 +15,7 @@
from scipy import sparse as sp

from ...utils._array_api import _max_precision_float_dtype, get_namespace_and_device
from ...utils._param_validation import Interval, StrOptions, validate_params
from ...utils._param_validation import Hidden, Interval, StrOptions, validate_params
from ...utils.multiclass import type_of_target
from ...utils.validation import check_array, check_consistent_length
from ._expected_mutual_info_fast import expected_mutual_information
Expand Down Expand Up @@ -1178,11 +1178,11 @@ def normalized_mutual_info_score(
{
"labels_true": ["array-like"],
"labels_pred": ["array-like"],
"sparse": ["boolean"],
"sparse": ["boolean", Hidden(StrOptions({"deprecated"}))],
},
prefer_skip_nested_validation=True,
)
def fowlkes_mallows_score(labels_true, labels_pred, *, sparse=False):
def fowlkes_mallows_score(labels_true, labels_pred, *, sparse="deprecated"):
"""Measure the similarity of two clusterings of a set of points.

.. versionadded:: 0.18
Expand Down Expand Up @@ -1216,6 +1216,10 @@ def fowlkes_mallows_score(labels_true, labels_pred, *, sparse=False):
sparse : bool, default=False
Compute contingency matrix internally with sparse matrix.

.. deprecated:: 1.7
The ``sparse`` parameter is deprecated and will be removed in 1.9. It has
no effect.

Returns
-------
score : float
Expand Down Expand Up @@ -1249,6 +1253,14 @@ def fowlkes_mallows_score(labels_true, labels_pred, *, sparse=False):
>>> fowlkes_mallows_score([0, 0, 0, 0], [0, 1, 2, 3])
0.0
"""
# TODO(1.9): remove the sparse parameter
if sparse != "deprecated":
warnings.warn(
"The 'sparse' parameter was deprecated in 1.7 and will be removed in 1.9. "
"It has no effect. Leave it to its default value to silence this warning.",
FutureWarning,
)

labels_true, labels_pred = check_clusterings(labels_true, labels_pred)
(n_samples,) = labels_true.shape

Expand Down
10 changes: 10 additions & 0 deletions sklearn/metrics/cluster/tests/test_supervised.py
Original file line number Diff line number Diff line change
Expand Up @@ -510,3 +510,13 @@ def test_normalized_mutual_info_score_bounded(average_method):
# non constant, non perfect matching labels
nmi = normalized_mutual_info_score(labels2, labels3, average_method=average_method)
assert 0 <= nmi < 1


# TODO(1.9): remove
@pytest.mark.parametrize("sparse", [True, False])
def test_fowlkes_mallows_sparse_deprecated(sparse):
"""Check deprecation warning for 'sparse' parameter of fowlkes_mallows_score."""
with pytest.warns(
FutureWarning, match="The 'sparse' parameter was deprecated in 1.7"
):
fowlkes_mallows_score([0, 1], [1, 1], sparse=sparse)