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MLFlow Registry

The Model Registry is a hub where you can find the models that you have trained and saved as "final" models. It is a place where you can keep track of the different versions of your models, and it allows you to compare them, share them, and deploy them.

mlflow_registry

Models can be registered in two ways:

  1. Using the UI: You can register a model using the MLflow Web Intergace. This is useful when you want to manually register a model.
  2. Using the API: You can register a model using the MLflow API (using python code). This is useful when you want to automate the process of registering a model.