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- Pin mlflow<2.19 in training command to fix auto-logging - Use custom Environment + CodeConfiguration to bypass broken auto-generated Dockerfile (conda info --root deprecated) - Custom score.py installs model-specific dependencies at init to handle scikit-learn version mismatches
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