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Version: v0.64.0

Understand model registration and versioning

H2O MLOps lets you register individual experiments and group them as versions of a registered model to organize a collection of experiments efficiently. Experiments that are imported into MLOps must first be registered before being deployed. When registering an experiment, you can either register it as a new model or register it under an existing model. Selecting the latter option creates a new version of the existing model.

A registered model is a collection of individual model versions. Registered models are used to group registered model versions that are relevant to a specific problem. New experiments and iterations can be registered as updated versions of the model.

A model version has a one-to-one relationship with experiments within a given Project. When you want to proceed with serving your best experiment, you can register that experiment as a model version.


When registering an experiment as a model, all data and metadata lineage is maintained.