tests/test_pipeline_optimizer.py: 197 warnings
/home/runner/work/NiaAML/NiaAML/.venv/lib/python3.11/site-packages/sklearn/ensemble/_weight_boosting.py:519: FutureWarning: The SAMME.R algorithm (the default) is deprecated and will be removed in 1.6. Use the SAMME algorithm to circumvent this warning.
warnings.warn(
tests/test_classifiers.py::ClassifierTestCase::test_lsvc_works_fine
/home/runner/work/NiaAML/NiaAML/.venv/lib/python3.11/site-packages/sklearn/svm/_classes.py:31: FutureWarning: The default value of dual will change from True to 'auto' in 1.5. Set the value of dual explicitly to suppress the warning.
warnings.warn(
tests/test_feature_transform.py::FeatureTransformTestCase::test_qt_works_fine
/home/runner/work/NiaAML/NiaAML/.venv/lib/python3.11/site-packages/sklearn/preprocessing/_data.py:2762: UserWarning: n_quantiles (1000) is greater than the total number of samples (100). n_quantiles is set to n_samples.
warnings.warn(
tests/test_pipeline_optimizer.py: 197 warnings
/home/runner/work/NiaAML/NiaAML/.venv/lib/python3.11/site-packages/sklearn/ensemble/_weight_boosting.py:519: FutureWarning: The SAMME.R algorithm (the default) is deprecated and will be removed in 1.6. Use the SAMME algorithm to circumvent this warning.
warnings.warn(
tests/test_classifiers.py::ClassifierTestCase::test_lsvc_works_fine
/home/runner/work/NiaAML/NiaAML/.venv/lib/python3.11/site-packages/sklearn/svm/_classes.py:31: FutureWarning: The default value of
dualwill change fromTrueto'auto'in 1.5. Set the value ofdualexplicitly to suppress the warning.warnings.warn(
tests/test_feature_transform.py::FeatureTransformTestCase::test_qt_works_fine
/home/runner/work/NiaAML/NiaAML/.venv/lib/python3.11/site-packages/sklearn/preprocessing/_data.py:2762: UserWarning: n_quantiles (1000) is greater than the total number of samples (100). n_quantiles is set to n_samples.
warnings.warn(