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ENH: adding array-api-compat and enabling array api conformance tests #2079

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Oct 9, 2024
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ENH: adding array-api-compat and enabling array api conformance tests #2079

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8bedde1
ENH: array api dispatching
samir-nasibli Oct 2, 2024
b11fcf3
Deselect some scikit-learn Array API tests
samir-nasibli Oct 4, 2024
467634a
Merge branch 'intel:main' into enh/array_api_dispatching
samir-nasibli Oct 4, 2024
31030f7
Merge branch 'intel:main' into enh/array_api_dispatching
samir-nasibli Oct 8, 2024
943796e
deselect more tests
samir-nasibli Oct 8, 2024
ef42daa
deselect more tests
samir-nasibli Oct 8, 2024
3bc755d
disabled tests for
samir-nasibli Oct 8, 2024
76f1876
fix the deselection comment
samir-nasibli Oct 8, 2024
ce0b8e1
disabled test for Ridge regression
samir-nasibli Oct 8, 2024
404e8c0
Disabled tests and added comment
samir-nasibli Oct 8, 2024
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20 changes: 20 additions & 0 deletions deselected_tests.yaml
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Original file line number Diff line number Diff line change
Expand Up @@ -25,6 +25,26 @@
# will exclude deselection in versions 0.18.1, and 0.18.2 only.

deselected_tests:
# Array API support
# sklearnex functional Array API support doesn't guaranty namespace consistency for the estimator's array attributes.
- decomposition/tests/test_pca.py::test_pca_array_api_compliance[PCA(n_components=2,svd_solver='covariance_eigh')-check_array_api_input_and_values-array_api_strict-None-None]
- decomposition/tests/test_pca.py::test_pca_array_api_compliance[PCA(n_components=2,svd_solver='covariance_eigh',whiten=True)-check_array_api_input_and_values-array_api_strict-None-None]
- decomposition/tests/test_pca.py::test_pca_array_api_compliance[PCA(n_components=2,svd_solver='covariance_eigh')-check_array_api_get_precision-array_api_strict-None-None]
- decomposition/tests/test_pca.py::test_pca_array_api_compliance[PCA(n_components=2,svd_solver='covariance_eigh',whiten=True)-check_array_api_get_precision-array_api_strict-None-None]
- linear_model/tests/test_ridge.py::test_ridge_array_api_compliance[Ridge(solver='svd')-check_array_api_attributes-array_api_strict-None-None]
- linear_model/tests/test_ridge.py::test_ridge_array_api_compliance[Ridge(solver='svd')-check_array_api_input_and_values-array_api_strict-None-None]
# `train_test_split` inconsistency for Array API inputs.
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Will be covered by ticket.

- model_selection/tests/test_split.py::test_array_api_train_test_split[True-None-array_api_strict-None-None]
- model_selection/tests/test_split.py::test_array_api_train_test_split[True-stratify1-array_api_strict-None-None]
- model_selection/tests/test_split.py::test_array_api_train_test_split[False-None-array_api_strict-None-None]
# PCA. Array API functionally supported for all factorizations. power_iteration_normalizer=["LU", "QR"]
- decomposition/tests/test_pca.py::test_array_api_error_and_warnings_on_unsupported_params
# PCA. InvalidParameterError: The 'M' parameter of randomized_svd must be an instance of 'numpy.ndarray' or a sparse matrix.
- decomposition/tests/test_pca.py::test_pca_array_api_compliance[PCA(n_components=2,power_iteration_normalizer='QR',random_state=0,svd_solver='randomized')-check_array_api_input_and_values-array_api_strict-None-None]
- decomposition/tests/test_pca.py::test_pca_array_api_compliance[PCA(n_components=2,power_iteration_normalizer='QR',random_state=0,svd_solver='randomized')-check_array_api_get_precision-array_api_strict-None-None]
# Ridge regression. Array API functionally supported for all solvers. Not raising error for non-svd solvers.
- linear_model/tests/test_ridge.py::test_array_api_error_and_warnings_for_solver_parameter[array_api_strict]

# 'kulsinski' distance was deprecated in scipy 1.11 but still marked as supported in scikit-learn < 1.3
- neighbors/tests/test_neighbors.py::test_kneighbors_brute_backend[float64-kulsinski] <1.3
- neighbors/tests/test_neighbors.py::test_radius_neighbors_brute_backend[kulsinski] <1.3
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1 change: 1 addition & 0 deletions requirements-test.txt
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Expand Up @@ -11,4 +11,5 @@ xgboost==2.1.1
lightgbm==4.5.0
catboost==1.2.7 ; python_version < '3.11' # TODO: Remove 3.11 condition when catboost supports numpy 2.0
shap==0.46.0
array-api-compat==1.8.0
array-api-strict==2.0.1
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