Skip to content

Build and Deploy Custom AI Predictive Models Part 3 - Creating a notebook

Saving your pipeline as a notebook

  • You can create a notebook if you want to view the code that created the model pipeline or interact with the model programatically.

  • Select the pipeline of your choice and click save as and choose the notebook option.

  • You can choose the notebook type as a WML notebook to work with a trained model in a notebook, review and update the code, view visualisations and also deploy the model with Watson Machine Learning.

  • OR you can choose to save it as a AutoAI_lib notebook where you can view the sci-kit learn source code for the trainel model in the notebook.

Save model as a notebook

- Once you click create the notebook will be created for you to access within the project.

view AutoAI notebook