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One doc tagged with "MLOps"

Managing the model lifecycle — registries, drift monitoring, automatic retriggering, and deployments.

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The Toolkit and the Pipeline

The five Python libraries that do the work, how they stack, scikit-learn's fit/predict/transform contract, and the seven-step pipeline every project follows.