SageMaker Canvas - How to share 'my model' & 'data wrangler' with others?

Yes, you can share models built in Amazon SageMaker Canvas with other users in a few ways:

For sharing models with data scientists:

• After building and training a standard model in SageMaker Canvas, you can use the share button in SageMaker Canvas
• You can choose to share the model with a single user or multiple users within SageMaker Studio
• Data scientists can review, update, and share updated model versions back with you
• You can then generate predictions on these new versions in SageMaker Canvas

For sharing models across accounts:

• You can use the SageMaker Model Registry with AWS Resource Access Manager (RAM)
• This allows you to share model package groups across different AWS accounts
• The process involves creating a model package group, selecting appropriate permissions, and specifying which accounts to share with
• Recipients need to accept the shared model invitation (unless accounts are in the same organization)

For exporting models to SageMaker Studio:

• You can share models via the SageMaker Model Registry for collaboration
• For eligible tabular models, you can export a Jupyter notebook containing the model building steps:

1. Go to "My models" in the left navigation pane
2. Select your model and version
3. Click the "More options" icon in the header
4. Choose "View Notebook"
5. Download the notebook or copy the S3 URI

You can also publish models to the SageMaker Assets catalog to make them visible to everyone in your organization, allowing for broader collaboration on machine learning projects.

Note that the notebook export option is available for tabular models but not for image prediction, text prediction, or time series forecasting models.
Sources
No-code Machine Learning - Amazon SageMaker Canvas FAQs - AWS
Centralize model governance with SageMaker Model Registry Resource Access Manager sharing | AWS Machine Learning Blog
Export Sagemaker Canvas Model to SageMaker Studio | AWS re:Post
Work with assets (user guide) - Amazon SageMaker AI