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@@ -5,10 +5,12 @@ This template repository contains a sample application and sample GitHub Actions
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This MLOps workflow demonstrates training and evaluating a machine learning model to predict taxi fare from the public [New York City Taxi dataset](https://registry.opendata.aws/nyc-tlc-trip-records-pds/) deployed with Amazon SageMaker.
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This repository contains a number of start workflow files for GitHub Actions:
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1. [build-pipeline.yml](./build-pipeline.yml) runs when a pull request is opened or updated. This workflow creates or updates the Sagemaker Pipeline, and starts an execution.
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1. [deploy-staging.yml](./deploy-staging.yml) runs when a new commit is pushed to the master branch for the `staging` environment. This workflow deploys the SageMaker endpoint for staging. (WIP)
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1. [deploy-prod.yml](./deploy-prod.yml) runs when a new commit is pushed to the master branch for the `production` environment. This workflow deploys the Sagemaker endpoint for production. (WIP)
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1. [publish-template.yml](./publish-template.yml) runs when a new commit is pushed to the master branch for the `public` environment. Synths and uploads the CFN templates and build & deploy assets for launching the stack.
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1. [build-deploy-pipeline.yml](.github/workflows/build-deploy-pipeline.yml) This workflow runs when a pull request is opened or commit with the following stages:
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* `build`: This workflow creates or updates the Sagemaker Pipeline, and starts an execution in the `development` environment.
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* `deploy_staging`: This workflow deploys the SageMaker endpoint in the `staging` environment.
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* `deploy_prod`: This workflow deploys the SageMaker endpoint with Model Monitor in the `prod` environment.
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1. [publish-template.yml](.github/workflows/publish-template.yml) runs when a new commit is pushed to the main branch in the `aws` environment:
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* Synths and uploads the CFN templates and build & deploy assets for launching the stack.
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## Create a GitHub repository from this template
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