Implement error handling for MLflow score logging #1259
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Fix #1254: MLFlow runs not properly closed after error
Added try-except block around log_scores() call to ensure MLFlow runs are properly closed with FAILED status when metrics file doesn't exist or other errors occur during score logging. Previously, runs would remain in RUNNING state indefinitely when errors occurred.
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./scripts/actions.sh lint./scripts/actions.sh unit-test./scripts/actions.sh integration-testlaunch-slurm.py --time 60