How do you manage dependencies in an ML project to ensure consistency across development and production environments?
Instruction: Discuss the methods you employ to handle and document dependencies in machine learning projects to maintain environment consistency.
Context: This question evaluates the candidate's practices for dependency management, a key aspect of MLOps that supports the smooth transition of models from development to production without discrepancies.
Updated
Official answer available
Read the opening below, then unlock the full answer and practical guidance.
I lock dependencies explicitly, build reproducible environments, and keep training and serving environments defined as code instead of relying on ad hoc...