Mini toolsDefinition
Automated workflows that chain together ML tasks from data ingestion through deployment.
Detailed Explanation
ML pipelines automate sequences of tasks including data processing feature engineering model training validation and deployment. Includes dependency management parallel execution and error handling. Often implements directed acyclic graphs (DAGs) for task organization.
Use Cases
Automated training workflows Data processing sequences Model update chains Production ML workflows
