Comments (1)
martinRenou
commented on July 21, 2024
Sorry, I don't have the boto version handy but will find it and update the ticket. It was very old.
Thank you! We can probably update the boto version requirements when you have more information about this. Otherwise the piece of information in this ticket could be enough for other users who may end up here because they had the same error.
from sagemaker-python-sdk.
Related Issues (20)
- More unclosed files in source and tests
- How can I use the custom generator to train a TensorFlow model on SageMaker? HOT 1
- Initialization of default JumpStart SageMaker Session is slow HOT 1
- SageMaker Processing Step not working with `ScriptProcessor()` HOT 1
- pip install from requirements.txt on SageMaker training jobs does not install from github repo HOT 2
- KeyError: 'Message' when encountering an error in _send_metrics HOT 4
- Missing Parameter in docs
- Remote Training Job created with decorator not installing pip dependencies HOT 2
- Model cannot be loaded in the SageMaker endpoint after update of SageMaker SDK to 2.212 HOT 4
- test
- Sagemaker creates separate experiment runs for training jobs
- Timeseries Explainability Bug - 2.214.0 HOT 2
- Runtime dependency on setuptools from importing distutils
- parameter passed to tensorflow estimator is not all passed to create_model
- Upstream package not pinned in setuptools config (schema) HOT 4
- Bug with schema version when installing sagemaker HOT 1
- Deploy this TheBloke/vicuna-13B-v1.5-GGUF model on AWS
- Estimator.enable_network_isolation parameter ignored by config
- Multi-container endpoint SKLearn support unclear HOT 1
- Trailing Slash in `create_dataset` output_path causes issues with joining results HOT 1
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