Troubleshoot common setup issues - Amazon SageMaker AI
Services or capabilities described in AWS documentation might vary by Region. To see the differences applicable to the AWS European Sovereign Cloud Region, see the AWS European Sovereign Cloud User Guide.

Troubleshoot common setup issues

Explore common troubleshooting issues.

Could not find executable named 'groff'

When using the AWS CLI, you might encounter the following error: Could not find executable named 'groff'.

If using a Mac, you can resolve this issue with the following command:

brew install groff

On a Linux machine, use the following commands:

sudo apt-get update -y sudo apt-get install groff -y

Command not found: jq

When creating your AuthZ permission policy JSON file, you might encounter the following error: jq: command not found.

If using a Mac, you can resolve this issue with the following command:

brew install jq

On a Linux machine, use the following commands:

sudo apt-get update -y sudo apt-get install jq -y

AWS MLflow plugin installation speeds

Installing the AWS MLflow plugin can take several minutes when using a Mac Python environment.

UnsupportedModelRegistryStoreURIException

If you see the UnsupportedModelRegistryStoreURIException, do the following:

  1. Restart your Jupyter notebook Kernel.

  2. Reinstall the AWS MLflow plugin:

    !pip install --force-reinstall sagemaker-mlflow