Description
Export models from a notebook so that they can be imported and used in other notebooks.
Application
Within a notebook you can generate regression models as part of your workflow. You may want to import these models into another notebook for other use-cases. The export function allows you to export a model for use in another notebook or to all teams on the platform.
How to use
- In the Models field, select from the available models in the current notebook that you want to export.
- You can select one or multiple models.
- If there is only one model present in the notebook, this field is automatically populated with that model.
- For each model selected, a new field will appear called Export Name for {Model Name}.
- This field is automatically populated with the name of the model prefixed with the word “Global”: e.g. “Global Neural Network.”
- You can enter a new export name for the model by editing this field.
- This export name will be used to reference this model within the platform and when importing the model into another notebook.
- This name must be unique within the platform otherwise when clicking apply, the step will return an error to say the name is already in use.
- If you tick ‘Export to all teams’ the model will be available in all teams on the platform, not constrained to the team it was trained in
- Click on Apply: Export Model to complete the export.
More on this step
This model export function is compatible with any type of model that can be generated in the Monolith platform.
This does not export models for use outside the Monolith platform, but makes the model available for importing into other notebooks/teams within the platform. It will appear in the available list of models referenced by its Export Name when using the Import Global Model function. Once exported, the model will appear in the data manager and can be accessed via the Import Global Model function.Last modified on July 23, 2026
