sagemaker-python-sdk
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aws
A library for training and deploying machine learning models on Amazon SageMaker
**Describe the bug** When configuring Data Capture for a Batch Transform job using the SageMaker Python SDK, the job creation succeeds, but the execution fails with an "Internal Server Error"....
**Describe the bug** I am trying to setup a Sagemaker processing job where the job input is defined using the AthenaDatasetDefinition. When executing the job, it fails with message below....
**Describe the feature you'd like** Add a parameter to SHAPConfig from sagemaker.workflow.clarify_checkstep which lets the user specify the types of the dataset used to create a baseline for the SHAP...
**Describe the feature you'd like** I would like to support batch transform job for Model entity with container definitions which use ModelDataSource attribute. I am particularly interested in supporting the...
*Issue #, if available:* N/A *Description of changes:* Enhance local mode support for LLM inference without model data * Current sagemaker py-sdk local model forces the requirement of `model_data` param...
**Describe the bug** I'm encountering an issue while attempting to build a local model deployment using the ModelBuilder class in SageMaker Studio. When I attempt to use ModelBuilder, I get...
**Describe the feature you'd like** A clear and concise description of the functionality you want. ModelTrainer and Estimator classes currently support training_plan_arn, in order to run training workload by leveraging...
Bumps [transformers](https://github.com/huggingface/transformers) from 4.48.0 to 4.50.0. Release notes Sourced from transformers's releases. Release v4.50.0 New Model Additions Model-based releases Starting with version v4.49.0, we have been doing model-based releases, additionally...
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**Describe the bug** A clear and concise description of what the bug is. Setting the `additional_model_data_sources` parameter of `sagemaker.model.Model` throws the error: ``` botocore.exceptions.ClientError: An error occurred (ValidationException) when calling...
*Issue #, if available:* https://github.com/aws/sagemaker-python-sdk/security/dependabot?q=is%3Aopen+package%3Amlflow+MLflow+has+Weak+Password+Requirements *Description of changes:* * Updated mlflow version in test requirements *Testing done:* ## Merge Checklist _Put an `x` in the boxes that apply. You can...
