Register Models Introduction
Users can register Models inside Projects.
| Field | Description |
|---|---|
| Name | Name of the registered model. |
| Types | Shows the type of the model. |
| Owner | Owner of the registered model. |
| Scope | The model can be used for a Project or across Workspace. The user can define the scope of the model by selecting either Project or Workspace. If user selects workspace then, the created model can be used across the Workspace. However, if the user selects Project as scope, then the model will be visible only in the specific project. |
| API | The chosen Machine Learning API i.e. Spark ML/H20/Scikit. |
| Actions | Delete: To delete a Model. Download: You can download the ML Model. Only those models which are registered in SAX dB, will be reflected for download. More Details: View additional details such as Parent Project, Category, Date Created and Date Modified. View Model Versions: To view and create versions for the listed models. |
If you use a registered model in your data pipeline, make sure that the Spark and H20 version must be the same.
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