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, typically via an API.
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Glossary Terms(5)
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…
Model Monitoring
Model monitoring is the ongoing practice of tracking a deployed machine learning model's performance, input data characteristics, and predictions in production…
Concept Drift
Concept drift is the phenomenon where the statistical relationship between a model's input features and its target output changes over time, causing a previous…
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…