Models

Users can deploy models from a run in the experiment if it contains a model that is logged using mlflow APIs. By clicking on “Convert to Model”, a model is deployed on a container cluster and the model’s state will switch to Starting and then to ON. All the models created from the project's experiments will be listed in the Models tab. Models that are in ON state will have a REST API endpoint listed for integration into business applications.