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Added mlops-stepfunctions module #229
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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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4. Model Approval: Implement manual or automated approval steps to review the model's performance and decide whether to proceed with deployment. | ||
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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"
).
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#### Required | ||
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- `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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Describe your changes
Added Module which demonstrates implementation of MLOps using AWS Step Functions
Issue ticket number and link
Checklist before requesting a review
CHANGELOG.MD
with a description of my changesscripts/validate.sh
)seedfarmer apply
By submitting this pull request, I confirm that my contribution is made under the terms of the Apache 2.0 license.