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In a collaborative project utilizing MLflow, a data scientist aims to share the entire machine learning project, including code, environment specifications, and model artifacts with their team. Which MLflow command should they use to package and share the project?
In a collaborative project utilizing MLflow, a data scientist aims to share the entire machine learning project, including code, environment specifications, and model artifacts with their team. Which MLflow command should they use to package and share the project?
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