diff --git a/python/cuml/tests/test_metrics.py b/python/cuml/tests/test_metrics.py index ef8f431e28..59edee6b1c 100644 --- a/python/cuml/tests/test_metrics.py +++ b/python/cuml/tests/test_metrics.py @@ -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]] diff --git a/python/cuml/tests/test_spectral_clustering.py b/python/cuml/tests/test_spectral_clustering.py index 799e68b322..90095709ef 100644 --- a/python/cuml/tests/test_spectral_clustering.py +++ b/python/cuml/tests/test_spectral_clustering.py @@ -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 # @@ -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), diff --git a/python/cuml/tests/test_tsne.py b/python/cuml/tests/test_tsne.py index 6606a7ba09..23a3ab3bf2 100644 --- a/python/cuml/tests/test_tsne.py +++ b/python/cuml/tests/test_tsne.py @@ -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"] diff --git a/python/cuml/tests/test_umap.py b/python/cuml/tests/test_umap.py index 4d1b89f353..7c09b901e1 100644 --- a/python/cuml/tests/test_umap.py +++ b/python/cuml/tests/test_umap.py @@ -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),