Surgeo is a Python tool that allows you to recreate a version of the BisG race predictor from scratch to approximate race. This is important for us to recreate so that we can create a baseline for race prediction to compare against.
Initial thoughts: this development work would probably entail:
importing the surgeo collection into the backend
working in the flask backend to create a surgeo based model
creating an endpoint on the flask backend that can be called by the frontend React app -- this should primarily return a initial race prediction estimation, with different probabilities.
It would be good to define a response object that we can standardize throughout the process (this would a similar object returned by the picked ZRP model). This is generally best practice to create clean, strict code.
Surgeo is a Python tool that allows you to recreate a version of the BisG race predictor from scratch to approximate race. This is important for us to recreate so that we can create a baseline for race prediction to compare against.
Reference documentation: https://surgeo.readthedocs.io/en/dev/
Initial thoughts: this development work would probably entail:
It would be good to define a response object that we can standardize throughout the process (this would a similar object returned by the picked ZRP model). This is generally best practice to create clean, strict code.