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https://aws.amazon.com/blogs/machine-learning/customize-amazon-sagemaker-studio-using-lifecycle-configurations/
The text was updated successfully, but these errors were encountered:
Did this through console by adding a lifecycle configuration to the SageMaker domain:
Config options:
Have to shutdown and restart jupyterserver instances for it to take effect.
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need to implement this in CloudFormation
bruffridge
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https://aws.amazon.com/blogs/machine-learning/customize-amazon-sagemaker-studio-using-lifecycle-configurations/
The text was updated successfully, but these errors were encountered: