Amazon SageMaker Pipelines: Repeatable ML Workflows
Source: docs.aws.amazon.comintermediate
Think of SageMaker Pipelines as a CI/CD pipeline for ML models, automating workflows from data prep to deployment. Use it for reproducible training and automated retraining.
Think of SageMaker Pipelines as a CI/CD pipeline for ML models. It automates your entire workflow—from data prep and training to evaluation and deployment—as a series of connected, repeatable steps. This is crucial for production ML, enabling reproducible training runs and automated model retraining. A common mistake is not enabling step caching, which forces expensive re-execution of unchanged steps on every run.
Read the original → docs.aws.amazon.com
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