Hello tabular data: Cleaning up your project

Clean up the Google Cloud resources that you created during this tutorial. Follow these steps to avoid incurring unexpected charges from some of the resources.

This tutorial has several pages:

  1. Setting up your project and environment.

  2. Creating a tabular dataset and training an AutoML classification model.

  3. Deploying the model to an endpoint and sending a prediction.

  4. Cleaning up your project.

Each page assumes that you have already performed the instructions from the previous pages of the tutorial.

Deleting AI Platform resources

This section describes how delete the following project resources: endpoint, model, and dataset.

Deleting your endpoint

  1. In the Google Cloud Console, in the AI Platform section, go to the Endpoints page.

    Go to the Endpoints page

  2. Click your endpoint to open its details page.

  3. On the row for your model, click Undeploy model .

  4. In the Undeploy model from endpoint dialog, click Undeploy.

1, Return to the Endpoints tab, and find your endpoint. Click View more .

  1. Click Remove endpoint and confirm the operation.

Deleting your model

  1. In the Google Cloud Console, in the AI Platform section, go to the Models page.

    Go to the Models page

  2. Find your model. On that row, click View more .

  3. Click Delete model and confirm the operation.

Deleting your dataset

  1. In the Google Cloud Console, in the AI Platform section, go to the Datasets page.

    Go to the Datasets page

  2. Find your dataset. On that row, click View more .

  3. Click Delete dataset.

What's next