Shadow Deployment
Shadow deployment is a model release strategy in which a new model version runs in parallel with the production model on live traffic, generating predictions that are logged for analysis but never shown to real users.
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Glossary Terms(4)
Model Serving
Model serving is the process of deploying a trained machine learning model so it can receive input data and return predictions in a production environment, typ…
A/B Testing (ML)
A/B testing in machine learning is a controlled experimentation method that compares two or more model versions by routing production traffic between them and…
Shadow Deployment
Shadow deployment is a model release strategy in which a new model version runs in parallel with the production model on live traffic, generating predictions t…
Canary Model Deployment
Canary model deployment is a gradual rollout strategy in which a new model version is exposed to a small percentage of production traffic first, with exposure…