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awslabs / mlmax

Example templates for the delivery of custom ML solutions to production so you can get started quickly without having to make too many design choices.
https://mlmax.readthedocs.io/en/latest/
Apache License 2.0
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Let user specify training and inference pipeline bucket #58

Closed verdimrc closed 3 years ago

verdimrc commented 3 years ago

🚀 Feature request

Describe the feature you'd like

Training & inference pipeline use the default sagemaker bucket (i.e., sagemaker-<region>-<acc>). This won't work without create S3 bucket permission, which happens in some situations.

Propose to update the pipelines so that when they call the sagemaker APIs (train, processing), to clearly define the s3_prefix to use (code_path, output, etc.).

What is the motivation for the feature?

Pipeline can work without create S3 bucket policy.

Could you contribute? (Optional)

A description of how you can help, e.g. submitting a PR.

github-actions[bot] commented 3 years ago

This issue is stale. If left untouched, it will be automatically closed in 7 days.

github-actions[bot] commented 3 years ago

This issue is stale because it has been open for 60 days with no activity. Please update or respond to this comment if you're still interested in working on this.