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Fix the coef shape assertion in LinearPredictMixin._predict_single_ta… #3767

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Triggered via push March 26, 2025 23:02

copy-pr-bot[bot]

pull-request/6414

Status Failure

Total duration 2h 19m 52s

Artifacts 16

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5 errors and 1 warning

conda-python-scikit-learn-accel-tests / 12.0.1, 3.11, arm64, ubuntu20.04, a100, latest-driver, latest-deps

$GITHUB_STEP_SUMMARY upload aborted, supports content up to a size of 1024k, got 9504k. For more information see: https://docs.github.com/actions/using-workflows/workflow-commands-for-github-actions#adding-a-markdown-summary

conda-python-scikit-learn-accel-tests / 12.8.0, 3.12, amd64, ubuntu24.04, h100, latest-driver, latest-deps

$GITHUB_STEP_SUMMARY upload aborted, supports content up to a size of 1024k, got 8905k. For more information see: https://docs.github.com/actions/using-workflows/workflow-commands-for-github-actions#adding-a-markdown-summary

optional-job-conda-python-tests-cudf-pandas-integration / 11.4.3, 3.10, amd64, rockylinux8, l4, earliest-driver, oldest-deps

Process completed with exit code 1.

conda-python-scikit-learn-accel-tests / 11.4.3, 3.10, amd64, rockylinux8, l4, earliest-driver, oldest-deps

$GITHUB_STEP_SUMMARY upload aborted, supports content up to a size of 1024k, got 9285k. For more information see: https://docs.github.com/actions/using-workflows/workflow-commands-for-github-actions#adding-a-markdown-summary

conda-python-scikit-learn-accel-tests / 11.8.0, 3.10, amd64, rockylinux8, l4, earliest-driver, oldest-deps

$GITHUB_STEP_SUMMARY upload aborted, supports content up to a size of 1024k, got 9279k. For more information see: https://docs.github.com/actions/using-workflows/workflow-commands-for-github-actions#adding-a-markdown-summary

optional-job-conda-python-tests-cudf-pandas-integration / 11.4.3, 3.10, amd64, rockylinux8, l4, earliest-driver, oldest-deps

This job failure may be caused by using an out of date self-hosted runner. You are currently using runner version 2.322.0. Please update to the latest version 2.323.0

Artifacts

Produced during runtime

Name	Size	Digest
cuml_conda_cpp_cuda11_aarch64	232 MB	`sha256:b744ef55948d1ae232c38f3d7279712b07047551fff7f345ed5c55aed4a0db3c`
cuml_conda_cpp_cuda11_x86_64	232 MB	`sha256:f0d939bc07e7034966c36217df6413d04cfa035f5b139103e8f313374f48ea9a`
cuml_conda_cpp_cuda12_aarch64	325 MB	`sha256:c81efe077a9aede8014eae6d6bde447ad9090a9c389cabe94f03b06cf916b2f9`
cuml_conda_cpp_cuda12_x86_64	324 MB	`sha256:e57b897c5a0b297067c0dd419fee7097d431058301885fb47c2700ee9c0ba219`
cuml_conda_python_cuda11_py310_aarch64	4.29 MB	`sha256:b736398c0ee42cbc0d04162091aa826f48d7579ae7c0e7103e73eeb4ba2389d3`
cuml_conda_python_cuda11_py310_x86_64	4.44 MB	`sha256:41af716c9da91370def7aa78211c9ca1a771c20cbf1a58b91868c73fe888529f`
cuml_conda_python_cuda11_py311_aarch64	4.45 MB	`sha256:5d183afd046826df61b9c158c356bde7b62579ea61cd9c801082f20ca6310c20`
cuml_conda_python_cuda11_py311_x86_64	4.6 MB	`sha256:ea661cb247d7beaa81283455a4b3f2c343ab7eb3473bbb6338e50699b07c0fd1`
cuml_conda_python_cuda11_py312_aarch64	4.28 MB	`sha256:44451993d70fc26172a5272c02012c84922d61fd78ce1a8ba59d3592d79d3519`
cuml_conda_python_cuda11_py312_x86_64	4.42 MB	`sha256:f9496123a9f5ebe50b2d840212bfc927c5b6309e090fa7fdf8c4bd4fcbb1f1d8`
cuml_conda_python_cuda12_py310_aarch64	5.92 MB	`sha256:87e3533ef470c9e1fa6d8c2b30a3db5348ecc07eaa97888f25511948ec445ce3`
cuml_conda_python_cuda12_py310_x86_64	6.23 MB	`sha256:45e72af99f3cc14eda51c3e9518a7a977e7fef1415a6ac05469a2d6b21edc2d4`
cuml_conda_python_cuda12_py311_aarch64	6.26 MB	`sha256:9ef1746db0329f3cc5544df4bbd5b6f8836828c3e44698deb92451e925b769fd`
cuml_conda_python_cuda12_py311_x86_64	6.57 MB	`sha256:b630121216ec2527ad2f66ed2f0b7936b1c20ad4ff6f4a1e91cc857f381de631`
cuml_conda_python_cuda12_py312_aarch64	6 MB	`sha256:0305ee38fbb619965350fcacf352110facd2d2899438a173cd945527fe6908da`
cuml_conda_python_cuda12_py312_x86_64	6.3 MB	`sha256:6858eda722cf7a4a109d56c27ab6a104a4c12089c3745f953052e27b33909cad`