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**Describe the bug**
A model is created and managed by Sagemaker ACK controller. We are trying to update the tags of this model. The changes to the model tag are not reflected in AWS console. But the…
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I have a PyTorchModel object defined like this:
```
model = PyTorchModel(name='model-name',
model_data=model_uri,
role=role,
frame…
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Lately running into too many Sagemaker issues. Is there any unambiguous documentation on Sagemakers Instances? I could glean the following from different sources:
1. Sagemaker Instances, Sagemaker …
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**Describe the bug**
We recently migrated from old sagemaker operator to the new ACK controller.
When we tried to update the resource tags by editing the manifest, it is not reflected on SageMaker a…
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**Is your feature request related to a problem?**
`api-2.json` file has information about constraints on the fields, e.g. length, number of items, pattern of the value. e.g. SageMaker Batch Transform…
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**Is your feature request related to a problem? Please describe.**
I'd like to be able to temporarily connect different S3 buckets to SageMaker Studio Lab (SMSL) for either extra library storage or d…
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**Is your feature request related to a problem? Please describe.**
At the moment, Model serving (via KServe) and Feature Serving (via Feast—the Feature Store) are separate components without any guid…
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/kind feature
**Describe the solution you'd like**
We'd like to add AWS deployers [here](https://github.com/kubeflow/fairing/tree/master/kubeflow/fairing/deployers) to give fairing user an optio…
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I am trying to run a sagemaker pipeline in local mode from sagemaker Studio lab. Since docker is not available and without root access to get it installed on the lab environment, I tried the alternati…
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## Willingness to contribute
The MLflow Community encourages new feature contributions. Would you or another member of your organization be willing to contribute an implementation of this feature (ei…