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Serve Ax bayesian optimization as an endpoint.

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pozzo-research-group/bo-serving

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bo-serving

This package provides a way to serve a Bayesian Optimiztion model as an HTTP endpoint. It was developed closely with the Pozzo Research Group color matching demonstration for use in autonomous experimentation applications. It is still in early development. This package uses flask to provide an endpoint for a BoTorch or Ax model.

If you are here from the Jubilee color match demonstration documentation, you want to follow these steps:

  1. Clone this repository
  2. Install this package into the same environment that you have science_jubilee and jubilee_pipette_BOdemo installed into (i.e. pip install -e .)
  3. cd into the src/bo_serving/botorch_serving directory
  4. Spin up the flask app with flask --app serve_botorch run
  5. Return to the color match demonstration documentation

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Serve Ax bayesian optimization as an endpoint.

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