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Insights: aws/sagemaker-python-sdk
Overview
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- 1 Merged pull request
- 1 Open pull request
- 1 Closed issue
- 0 New issues
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1 Pull request merged by 1 person
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Directly use customer-provided endpoint name for ModelBuilder deployment.
#5246 merged
Jul 28, 2025
1 Pull request opened by 1 person
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feat: support pipeline versioning
#5248 opened
Jul 25, 2025
1 Issue closed by 1 person
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test
#5247 closed
Jul 24, 2025
8 Unresolved conversations
Sometimes conversations happen on old items that aren’t yet closed. Here is a list of all the Issues and Pull Requests with unresolved conversations.
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Incorrect type annotation of hyperparameter_ranges argument of HyperparameterTuner constructor
#5243 commented on
Jul 24, 2025 • 0 new comments -
Tuning with a categorical parameter containing values that are pipeline variables does not work for a framework estimator.
#5240 commented on
Jul 24, 2025 • 0 new comments -
Importing sagemaker seems to enable rich tracebacks
#5179 commented on
Jul 28, 2025 • 0 new comments -
Structure for custom entrypoint inference script and its overridden methods for DJLModel
#4182 commented on
Jul 28, 2025 • 0 new comments -
Something like a .sagemakerignore file option to allow for skipping of certain directories when creating source tar
#4187 commented on
Jul 28, 2025 • 0 new comments -
Document the support for installing requirements.txt dependencies from CodeArtifact in PyTorch 2.0.1+ SageMaker Containers
#4189 commented on
Jul 29, 2025 • 0 new comments -
Use of boolean hyperparameters: recommended use of `type=bool` is not okay
#4247 commented on
Jul 29, 2025 • 0 new comments -
Add numpy 2.0 support
#5199 commented on
Jul 23, 2025 • 0 new comments