sagemaker-python-sdk
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aws
A library for training and deploying machine learning models on Amazon SageMaker
**Describe the bug** The documentation for [SKLearn](https://sagemaker.readthedocs.io/en/stable/frameworks/sklearn/sagemaker.sklearn.html?highlight=SKLearn#sagemaker.sklearn.estimator.SKLearn) constructor mentions that we can use custom `metric_definitions` with a regex. I checked that this kwarg is passed to `Framework` which then passes...
**Issue #, if available:** #2656, #2763 **Description of changes:** A slimmed-down alternative to #2633, reducing unnecessary change to `ScriptProcessor` to try and speed up acceptance so we can defer longer-term...
DeepAR's repository for `ap-northeast-3` was missing (see screenshot). 
*Issue #, if available:* *Description of changes:* *Testing done:* ## Merge Checklist _Put an `x` in the boxes that apply. You can also fill these out after creating the PR....
*Issue #, if available:* *Description of changes:* *Testing done:* ## Merge Checklist _Put an `x` in the boxes that apply. You can also fill these out after creating the PR....
**Describe the bug** https://github.com/aws/sagemaker-training-toolkit/blob/master/src/sagemaker_training/logging_config.py#L29 needs an integer for `level`. Through https://github.com/aws/sagemaker-python-sdk/blob/dev/src/sagemaker/estimator.py#L685 the value in `hyperparams[CONTAINER_LOG_LEVEL_PARAM_NAME]` (which is `logging.INFO`, the integer value `20`) gets converted to a string (`'20'`), and hence...
The current timeout for InvokeEndpoint is 60 seconds as specified here: https://docs.aws.amazon.com/en_pv/sagemaker/latest/dg/API_runtime_InvokeEndpoint.html Is there any way we can increase this limit, to say 120 seconds? ***EDIT Just to be clear,...
*Issue #, if available:* *Description of changes:* Add support for TF2.9.0 inference images *Testing done:* ## Merge Checklist _Put an `x` in the boxes that apply. You can also fill...
**Describe the feature you'd like** Each step in the Pipeline will produce some sort of metadata, and this metadata may be needed in a later step. It would be a...
**What did you find confusing? Please describe.** I am trying to retrain a `SKLearn` estimator in SageMaker, then redeploy it to an existing inference endpoint. However, the `update_endpoint=True` option in...
