[python-package] add scikit-learn-style API for early stopping #7007
Workflow file for this run
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| name: Optional checks | |
| on: | |
| pull_request: | |
| branches: | |
| - master | |
| jobs: | |
| all-optional-checks-successful: | |
| timeout-minutes: 120 | |
| runs-on: ubuntu-latest | |
| steps: | |
| - name: Checkout repository | |
| uses: actions/checkout@v4 | |
| with: | |
| fetch-depth: 5 | |
| submodules: false | |
| - name: Check that all tests succeeded | |
| run: | | |
| workflows=( | |
| "R valgrind tests;r-valgrind" | |
| ) | |
| for i in "${workflows[@]}"; do | |
| workflow_name=${i%;*} | |
| trigger_phrase=${i#*;} | |
| python "$GITHUB_WORKSPACE/.ci/get-workflow-status.py" "$trigger_phrase" \ | |
| || { echo "The last reported status from workflow \"$workflow_name\" is failure. Commit fixes and rerun the workflow."; \ | |
| exit 1; } | |
| done |