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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.
![image](https://github.com/aws/sag…
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Using a fresh install of DRfC (or using DOTS) on g series instances in AWS results in intermittent hanging of the servers and they become totally unresponsive, the only was to access them again is to …
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See:
https://aws.amazon.com/blogs/machine-learning/serving-pytorch-models-in-production-with-the-amazon-sagemaker-native-torchserve-integration/
antje updated
3 years ago
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**What did you find confusing? Please describe.**
I am trying to make use of the ```model_name``` attribute in the ```Context``` object that gets passed into my input handler, which the documentation…
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This needs to be executed after Thursday 3/24/22.
The documentation of the task should include:
Terminal output from running the cleanup script
Screenshot from AWS console showing that …
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Checklist
- [x] I've prepended issue tag with type of change: [feature]
- [ ] (If applicable) I've documented below the DLC image/dockerfile this relates to
- [ ] (If applicable) I've documented th…
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I'm trying to run '01_getting_started_pytorch' tutorial with no luck from a sagemaker instance. I tried the [original notebook](https://github.com/huggingface/notebooks/tree/master/sagemaker/01_getti…
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Hello, I would like to understand why this limitation is in place. Presumably most machine learning models take in much more than 16 features.
I created a model and had over 100 features. I tried t…
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**Describe the use case example you want to see**
I am using AWS SageMaker for an Image Classification task with a private workforce. I have 6252 images to label. However, I can’t seem to work out if…
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I have some questions:
1) I was trying to implement a "pyspark custom estimator" using this GitHub notebook:
https://github.com/awslabs/amazon-sagemaker-examples/blob/master/sagemaker-spark/pyspark…