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Added mlops-stepfunctions module #229

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merged 17 commits into from
Aug 29, 2024
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mahesh-balumuri
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Describe your changes

Added Module which demonstrates implementation of MLOps using AWS Step Functions

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Checklist before requesting a review

  • [ x] I updated CHANGELOG.MD with a description of my changes
  • [ x] If the change was to a module, I ran the code validation script (scripts/validate.sh)
  • [ x] If the change was to a module, I have added thorough tests
  • [ x] If the change was to a module, I have added/updated the module's README.md
  • [ x] If a module was added, I added a reference to the module to the repository's README.md
  • [ x] I verified that my code deploys successfully using seedfarmer apply

By submitting this pull request, I confirm that my contribution is made under the terms of the Apache 2.0 license.

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@mahesh-balumuri mahesh-balumuri marked this pull request as ready for review August 25, 2024 06:44
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@@ -0,0 +1,29 @@
[metadata]
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Please remove this file as it's duplicating pyproject.toml

# This file is autogenerated by pip-compile with Python 3.9
# by the following command:
#
# pip-compile --output-file=requirements.txt requirements.in
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Can you please check-in requirements.in?

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kukushking
kukushking previously approved these changes Aug 29, 2024

4. Model Approval: Implement manual or automated approval steps to review the model's performance and decide whether to proceed with deployment.

5. Model Deployment: Deploy your trained model to a SageMaker endpoint, making it available for real-time inference or batch processing.
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I think it would be helpful to document what the state machine expects its JSON input to be. Things such as what parameters it's expecting (e.g. "AppSpecification", "ProcessingInputs").


#### Required

- `model-name` : Model Identifier (default it is "demo")
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Nitpick: This is an optional parameter, since it has a default value.

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@kukushking kukushking merged commit ff62b0f into awslabs:main Aug 29, 2024
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@mahesh-balumuri mahesh-balumuri deleted the mlops-sfn branch September 3, 2024 04:57
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4 participants