What is CI/CD for ML?
MLOps
CI/CD for ML — Continuous Integration and Continuous Deployment adapted for machine learning. Includes automated testing of data, models, and code, plus automated retraining and deployment pipelines.
FAQ
How is CI/CD different for ML?
ML CI/CD tests data quality and model performance in addition to code. Deployments may include A/B testing and gradual rollouts.
What tools are used?
GitHub Actions + DVC for data, MLflow for experiments, ArgoCD for deployment, Evidently for monitoring.
Related Terms
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