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**Describe the bug**
Even though the base_job_name argument is set in the Processor definition, for instance sagemaker.sklearn.processing.SKLearnProcessor, the resulting processing job created has a …
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**Describe the bug**
SageMaker adds wrongly `/` when using `S3DataSource` where files are stored in an nested order, see screenshot of how my s3 directory looks.
 and copy the contents to the home directory of the notebook user wi…
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Customers running this in groups (for immersion days) would like to add a username field to the base job name
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Does anyone have Jupyterhub + Sparkmagic/levy + Spark running on Kubernetes at scale (in production)?
How stable is it?
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#740
@zxy844288792 @yuanzhua
Hi guys,
For our Customer Churn with Amazon Machine Learning example, Can I add another notebook to xgboost_customer_churn file using **batch transformation** to d…
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I am trying to replicate https://github.com/awslabs/amazon-sagemaker-examples/blob/master/sagemaker-python-sdk/tensorflow_serving_using_elastic_inference_with_your_own_model/tensorflow_serving_pretrai…
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Hi,
We have been testing the notebooks to train the unity agents with Sagemaker and encountered a series of errors. We have a good unity env, uploaded it to AWS S3, so we can use it with the Jupyte…
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We are successfully running the extension except for T3 instances. When we try to span a new t3.medium instance from SageMaker Studio it gets always stopped just after being available.
- Extension…