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Deploying a model as a web-service

  • Creating a virtual environment with Pipenv
  • Creating a script for predictiong
  • Putting the script into a Flask app
  • Packaging the app to Docker
docker build -t ride-duration-prediction-service:v1 .
docker run -it --rm -p 9696:9696  ride-duration-prediction-service:v1