Understanding AutoML Tables model deployment

In order to deploy the model that we trained in the previous section, perform the following steps:

1. We must click on the TEST & USE tab to deploy the model. There are multiple ways of testing the trained model: you can either test it as a batch prediction (file-based), as an online prediction (API), or export it in a Docker container. The option at the top of the page lets you toggle between online predictions via the REST API and batch predictions. This allows you to upload a CSV file or point to a BigQuery table and get prediction results for that entire file or table. Considering the amount of time it takes to use, AutoML Tables enables you to achieve a much higher level of model performance than you could reach manually. We will be doing online API-based prediction in this section:

   Figure 9.22 – AutoML Tables – exporting the model

2. Click on the ONLINE PREDICTION tab. You will see the following screen. Here...