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Data Drift


In our Drift overview, we describe the different types of drift commonly referenced and measured for a robust machine learning monitoring capability. Data drift refers to a measure of similarity between production data and the model's training dataset.



Data drift is only available for models that have data drift configured within the model container

Data drift object

  "modelIdentifier": "...",
  "modelVersion": "..."