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1 change: 0 additions & 1 deletion python/cuml/tests/test_metrics.py
Original file line number Diff line number Diff line change
Expand Up @@ -390,7 +390,6 @@ def test_silhouette_samples_batched(metric, chunk_divider, labeled_clusters):
assert False


@pytest.mark.xfail
def test_silhouette_score_batched_non_monotonic():
vecs = np.array(
[[0.0, 0.0, 0.0], [1.0, 1.0, 1.0], [2.0, 2.0, 2.0], [10.0, 10.0, 10.0]]
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3 changes: 1 addition & 2 deletions python/cuml/tests/test_spectral_clustering.py
Original file line number Diff line number Diff line change
@@ -1,4 +1,4 @@
# SPDX-FileCopyrightText: Copyright (c) 2025-2026, NVIDIA CORPORATION.
# SPDX-FileCopyrightText: Copyright (c) 2025-2026, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
# SPDX-License-Identifier: Apache-2.0
#

Expand Down Expand Up @@ -243,7 +243,6 @@ def test_precomputed_matrix_formats(converter, dtype):
assert ari > min_ari


@pytest.mark.xfail(reason="https://github.com/rapidsai/cuml/issues/7714")
@given(
n_samples=st.integers(min_value=100, max_value=2000),
n_features=st.integers(min_value=2, max_value=20),
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1 change: 0 additions & 1 deletion python/cuml/tests/test_tsne.py
Original file line number Diff line number Diff line change
Expand Up @@ -392,7 +392,6 @@ def test_tsne_distance_metrics(metric):
assert array_equal(sk_trust, cuml_trust, 0.05, with_sign=True)


@pytest.mark.xfail(reason="https://github.com/rapidsai/cuml/issues/6682")
@pytest.mark.parametrize("method", ["fft", "barnes_hut", "exact"])
@pytest.mark.parametrize(
"metric", ["l2", "euclidean", "cityblock", "l1", "manhattan", "cosine"]
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7 changes: 1 addition & 6 deletions python/cuml/tests/test_umap.py
Original file line number Diff line number Diff line change
Expand Up @@ -64,12 +64,7 @@ def test_blobs_cluster(nrows, n_feats, build_algo):
[
pytest.param(
500,
marks=[
pytest.mark.unit,
pytest.mark.xfail(
reason="https://github.com/rapidsai/cuvs/issues/184"
),
],
marks=pytest.mark.unit,
),
quality_param(5000),
stress_param(500000),
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