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MLflow Model Registry on Databricks Simplifies MLOps With CI/CD Features
( go to the article → https://databricks.com/blog/2020/11/19/mlflow-model-registry-on-databricks-simplifies-mlops-with-ci-cd-features.html )
MLflow helps organizations manage the ML lifecycle through the ability to track experiment metrics, parameters, and artifacts, as well as deploy models to batch or real-time serving systems. The MLflow Model Registry provides a central repository to manage the model deployment lifecycle, acting as the hub between experimentation and deployment. A critical part of MLOps,... The post MLflow Model Registry on Databricks Simplifies MLOps With CI/CD Features appeared first on Databricks.
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