Operationalize machine learning models (MLOps)

Deployment YAML referencing the model version and specifying the endpoint, instance type, and instance count

Deployment YAML referencing the model, plus a scoring script that loads the MLflow model for inference

Deployment YAML referencing the model, plus a scoring script and an environment defining its dependencies

Deployment YAML defining a custom container environment, plus an image bundling the model and inference server