This demo covers a full MLOPs pipeline. We'll show you how Databricks Lakehouse can be leverage to orchestrate and deploy model in production while ensuring governance, security and robustness.
Ingest data and save them as feature store
• Build ML model with Databricks AutoML
• Setup MLFlow hook to automatically test our models
• Create the model test job
• Automatically move model in production once the test are validated
• Periodically retrain our model to prevent from drift
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Негізгі бет Databricks MLOps with 2 Lines of Code!
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