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How does R support MLOps pipelines in production environments?

Updated May 24, 2026

Short answer

R supports MLOps through reproducible pipelines, model versioning, CI/CD, and deployment frameworks.

Deep explanation

MLOps in R combines packages like targets, renv, and plumber with external CI/CD systems. Pipelines ensure reproducibility, model artifacts are versioned, and deployment is automated via containerization. Monitoring systems track drift and performance degradation in production.

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