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How to create an AWS SageMaker endpoint for predictions - creating a model
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| #!/usr/bin/env bash | |
| MODEL_NAME=half-plus-three-v1 | |
| # the role named created with | |
| # https://gist.github.com/mvsusp/599311cb9f4ee1091065f8206c026962 | |
| ROLE_NAME=SageMakerRole | |
| # the name of the image created with | |
| # https://gist.github.com/mvsusp/07610f9cfecbec13fb2b7c77a2e843c4 | |
| ECS_IMAGE_NAME=sagemaker-tf-serving | |
| # the role arn of the role | |
| EXECUTION_ROLE_ARN=$(aws iam get-role --role-name ${ROLE_NAME} | jq -r .Role.Arn) | |
| # the ECS image URI | |
| ECS_IMAGE_URI=$(aws ecr describe-repositories --repository-name ${ECS_IMAGE_NAME} |\ | |
| jq -r .repositories[0].repositoryUri) | |
| # defines the SageMaker model primary container image as the ECS image | |
| PRIMARY_CONTAINER="Image=${ECS_IMAGE_URI}" | |
| # creates the model | |
| aws sagemaker create-model --model-name ${MODEL_NAME} \ | |
| --primary-container=${PRIMARY_CONTAINER} --execution-role-arn ${EXECUTION_ROLE_ARN} |
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