Deploying your Model¶

This is the second AutoAI module, and assumes that you have already created and ran the AutoAI experiment.

Once you select your final model pipeline. You can choose to Save it as a notebook or an ML model.
Choose model and click save

Save AutoAI model

Once your model is saved you will see a popup to View in Project or you can access the saved model from the Assets tab.
Click on the saved model and Promote to a deployment space

Promote model to deployment space

Select the target deployment space you want to use for this deployment. If you do not have one yet, you can create a new space.

Select deployment space

Access the deployment space from the left navigation pane.
In your Deployment Space, Choose the model you want to deploy from the Assets tab and click the deploy icon as shown

Deploy model

Choose your Deployment type and create your Deployment.

Add AutoAI experiment

Once your model is successuly deployed, you can access the API reference to make API calls or Test your model by providing input using a form or in a JSON format

Test model

Save the model as a Jupyter notebook¶

Next we will Save your pipeline as a notebook