Nikitha-Narendra
/
Kvasir-Image-Segmentation-Training
mirror of https://git-codecommit.us-east-2.amazonaws.com/v1/repos/sagemaker-KSegmentation-p-vz0cixq4iruw-modelbuild


  
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            version: 0.2

phases:
  install:
    runtime-versions:
      python: 3.8
    commands:
      - pip install --upgrade --force-reinstall . awscli
      - pip install -U sagemaker
      - pip install mlflow
      - pip install dagshub
  
  build:
    commands:
      - export PYTHONUNBUFFERED=TRUE
      - export SAGEMAKER_PROJECT_NAME_ID="kvasir-segmentation-example"
      - echo "Started Building process"
      - |
        run-pipeline --module-name pipelines.kvasir.pipeline \
          --role-arn $SAGEMAKER_PIPELINE_ROLE_ARN \
          --tags "[{\"Key\":\"sagemaker:project-name\", \"Value\":\"${SAGEMAKER_PROJECT_NAME}\"}, {\"Key\":\"sagemaker:project-id\", \"Value\":\"${SAGEMAKER_PROJECT_ID}\"}]" \
          --kwargs "{\"region\":\"${AWS_REGION}\",\"dagshub_token\":\"${DAGSHUB_TOKEN}\",\"role\":\"${SAGEMAKER_PIPELINE_ROLE_ARN}\"}"
      - echo "Pipeline and execution completed."