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A library for training and deploying machine learning models on Amazon SageMaker

Results 337 sagemaker-python-sdk issues
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**Describe the bug** When calling `FeatureGroup.create` (and other) method the SDK fails with the following exception: ``` Traceback (most recent call last): File "test.py", line 15, in fg.create( File "/home/guillem/miniconda3/envs/jk-nb/lib/python3.8/site-packages/sagemaker/feature_store/feature_group.py",...

bug

Hello, You give the ability to use LocalSession which is potentially really helpful. I am still struggling to make it work by using local-stack and pytests. I find everywhere small...

type: feature request
type: maintenance

**Describe the bug** When trying to register a model package by calling register() on the SKLearn Estimator which was already used for training and deploying a model to an endpoint,...

bug

**Describe the feature you'd like** During the work with SageMaker BYOC on local mode (with Python SDK), we encountered the situation where the outputs of the container are staged into...

type: feature request

**Describe the feature you'd like** The benefits of wheels are well documented. See: https://pythonwheels.com/ This package is pure Python and publishing it as both source and as a wheel is...

**Describe the feature you'd like** Not able to set workgroup for Athena query running on feature group. If I try to set: identity_query.run(query_string=query_string, output_location='s3://'+default_s3_bucket_name+'/query_results/',workgroup='non-primaty') Getting the below error: TypeError: run()...

#### Describe the bug When I am trying to create a workflow step for deployment with a script from a local path in a Windows OS the code will fail...

**Describe the bug** LocalSession class does not accept default_bucket argument and it always uses `sagemaker-{region}-{aws-account-id}` bucket **To reproduce** Creating a local session while passing `default_bucket` fails: ```python >>> import sagemaker...

bug

I cloned https://github.com/aws-samples/amazon-sagemaker-bert-pytorch.git in SageMaker, and ran jupyter notebook without any modification, and got error as below: "UnexpectedStatusException: Error for Training job pytorch-training-2020-10-27-16-28-37-955: Failed. Reason: AlgorithmError: ExecuteUserScriptError: Command "/opt/conda/bin/python train_deploy.py...

type: question
PyTorch

**Describe the bug** I created a pipeline with only one `ProcessingStep` based on `FrameworkProcessor`. When I `upsert()` and `start()` the pipeline from a notebook, it runs well. The code is...

bug