Model registry
This page describes the model registration process in MLOps.
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.
Register an experiment as a model
The following steps describe how to register an experiment as a model.
- In the main navigation, click Projects.
-
Select the project that contains the experiment you want to register as a model.
-
On the project page, navigate to the list of experiments associated with the project by clicking the Experiments tab, then click the name of the experiment that you want to register.
-
In the Experiment Details panel, click the Register as Model button.
-
MLOps prompts you to select one of the following options:
-
Register as a new model: Register the experiment as a new model. Enter a model name and a description for the model. The experiment is registered as version 1 of the newly created model. The new model is displayed in the Models tab of the project page.
-
Register to an existing model: Register the experiment to an existing model. This option creates a new version of the selected model. If there are no models associated with the project, this option cannot be selected.
-
- Submit and view feedback for this page
- Send feedback about H2O MLOps to cloud-feedback@h2o.ai