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4 changes: 0 additions & 4 deletions python/cuml/cuml/tests/test_common.py
Original file line number Diff line number Diff line change
Expand Up @@ -19,10 +19,6 @@
import cuml
from cuml.datasets import make_blobs

pytestmark = pytest.mark.filterwarnings(
"ignore:The default value of `n_init` will change from 1 to 'auto' in 25.04"
)


@pytest.mark.parametrize(
"Estimator",
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3 changes: 0 additions & 3 deletions python/cuml/cuml/tests/test_public_methods_attributes.py
Original file line number Diff line number Diff line change
Expand Up @@ -26,9 +26,6 @@
pytest.mark.filterwarnings(
"ignore:Starting from version 22.04, the default method of TSNE is 'fft'."
),
pytest.mark.filterwarnings(
"ignore:The default value of `n_init` will change from 1 to 'auto' in 25.04"
),
]


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9 changes: 0 additions & 9 deletions python/cuml/cuml/tests/test_sklearn_import_export.py
Original file line number Diff line number Diff line change
Expand Up @@ -103,12 +103,6 @@ def assert_estimator_roundtrip(
_ = original_params.pop("init", None)
_ = rm_params.pop("init", None)

# This failure will be fixed by
# https://github.com/rapidsai/cuml/pull/6142
# otherwise the predict with default n_init like this
# roundtrip will fail later.
pytest.xfail(reason="auto is not supported by cuML n_init yet")

def dict_diff(a, b):
# Get all keys from both dictionaries
all_keys = set(a.keys()) | set(b.keys())
Expand Down Expand Up @@ -158,9 +152,6 @@ def test_basic_roundtrip():
assert ckm.n_clusters == 13


@pytest.mark.filterwarnings(
"ignore:The default value of `n_init` will change from 1 to 'auto' in 25.04"
)
def test_kmeans(random_state):
# Using sklearn directly for demonstration
X, _ = make_blobs(
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