Add SKLearn and SparkML registries #14
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Conditionally log in to the appropriate ECR accounts for public SKLearn and Spark ML images in the current AWS_DEFAULT_REGION. Stop-gap for missing containers mentioned in aws-samples#13
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Issue #, if available:
Stop-gap for missing containers mentioned in #13, but doesn't provide the requested CLI input feature
Description of changes:
Conditionally log in to the appropriate ECR accounts for public SKLearn and SparkML images in the current
AWS_DEFAULT_REGION, as listed in the SageMaker docs hereI figured it would be better to add the extra registries conditionally by region, since there are so many?
Testing done:
I patched the updated buildspec template into my
pip installed version of the library and it enabled me to successfully build the container I was stuck on - but of course haven't been able to fully go and validate the registries for the many different regions!By submitting this pull request, I confirm that you can use, modify, copy, and redistribute this contribution, under the terms of your choice.