For a walkthrough that takes you on a tour of the main features of Amazon SageMaker Studio, see the xgboost_customer_churn_studio.ipynb sample notebook from the aws/amazon-sagemaker-examples GitHub repository. The code in the notebook trains multiple models and sets up the SageMaker Debugger and SageMaker Model Monitor. The walkthrough shows you how to view the trials, compare the resulting models, show the debugger results, and deploy the best model using the Studio UI. You don't need to understand the code to follow this walkthrough.
Prerequisites
To run the notebook for this tour, you need:
- An IAM account to sign in to Studio. For information, see Onboard to Amazon SageMaker Domain.
- Basic familiarity with the Studio user interface and Jupyter notebooks. For information, see Amazon SageMaker Studio UI Overview.
- A copy of the aws/amazon-sagemaker-examples repository in your Studio environment.
To clone the repository
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Sign in to Studio. For users in IAM Identity Center, sign in using the URL from your invitation email. For IAM users, follow these steps.
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Sign in to the SageMaker console.
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Choose Studio in the left navigation pane.
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Under Get Started, select your domain and user profile.
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Choose Open Studio.
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On the top menu, choose File, then New, then Terminal.
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At the command prompt, run the following command to clone the aws/amazon-sagemaker-examples GitHub repository.
$ git clone https://github.com/aws/amazon-sagemaker-examples.git
To navigate to the sample notebook
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From the File Browser on the left menu, select amazon-sagemaker-examples.
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Navigate to the example notebook with the following path.
~/amazon-sagemaker-examples/aws_sagemaker_studio/getting_started/xgboost_customer_churn_studio.ipynb -
Follow the notebook to learn about Studio's main features.
Note
If you encounter an error when you run the sample notebook, and some time has passed from when you cloned the repository, review the notebook on the remote repository for updates.