sagemaker-pipeline
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Sagemaker pipeline for AWS Summit New York
This error occurs in the TestEndpoint stage: ``` [Container] 2020/06/12 12:03:09 Running command pip3 install boto3 -- 31 | Collecting boto3 32 | Downloading https://files.pythonhosted.org/packages/8f/47/fd52106b41769acac53dfe1923bb363d6e4cc583a3a951c54a85a415593f/boto3-1.14.1-py2.py3-none-any.whl (128kB) 33 | Collecting botocore=1.17.1...
Getting the below error: Action execution failed Parameter 'SageMakerRole' must contain at most 64 characters (Service: AmazonCloudFormation; Status Code: 400; Error Code: ValidationError; Request ID: c9d7f5dc-9950-42d9-b755-3585182c2332) Please help
I added `Source/data-prep.py` which is run as a `pre_build` before training which takes an additional parameter `DataSource` and `BucketPrefix` to upload data. This is to enable the pipeline to support...
I noticed Sean doing a weird indent and then after loading up in an editor linted some more.
Hi, I've followed along with your Medium article successfully. I've also done this sagemaker tutorial: [tensorflow_bring_your_own/tensorflow_bring_your_own.ipynb](https://github.com/awslabs/amazon-sagemaker-examples/blob/master/advanced_functionality/tensorflow_bring_your_own/tensorflow_bring_your_own.ipynb). The format required to send an image to the TF Serving RESTful endpoint in...
If you name your stack - sagemaker-pipeline, the stack creation will fail because of S3 bucket name clash with the original author's buckets.
Describe each steps in time elapsed format