Sharing Random Forest Models

This feature allows you to share a trained Random Forest Model from one project to another. It also enables you to run analyses using the shared model in the receiving project.

Requirements for Sharing

To share a Random Forest Model, you must have one of the following roles in the original project:

  • Expert
  • Admin
  • Project Owner

Similarly, in the project where the model is being shared, you must also have one of these roles to access and use the model.

How to Share a Random Forest Model

Follow these steps to share a trained Random Forest Model:

  1. Go to the Project – Open the project that contains the trained Random Forest Model.
  2. Navigate to the Random Forest Model – Locate the trained Random Forest Model in the project from the Training Results section.
  3. Select Share Option – Click on the "Share Model" button.

  1. Select the Model and Target Project – Select the model you want to share and specify the project where it should be shared. If the target project does not show up in the list then you do not have sufficient permissions in the target project (must be expert, admin or project owner).
  2. Confirm the Share – Review the project details and confirm the sharing action.

Viewing the Original Model

To view the shared model in its original project, click the link next to the model name.

Using a Shared Model

Once the model shared, the Random Forest Model can be used for analysis within the receiving project. However, the shared model cannot be edited. Any modifications must be made in the original project.


Note:

Shared Random Forest Models can not be retrained in the target project.