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Exercise

Create the prediction endpoint

In this exercise, you'll create a prediction endpoint that uses a pre-trained model to estimate diabetes progression.

The model has been trained on a dataset which has three features age, bmi and blood_pressure. It then predicts the diabetes progression score. Using these inputs, it predicts a diabetes progression score, which helps assess how the condition may develop over time.

You'll use FastAPI to create a POST endpoint that accepts patient data and returns a prediction of diabetes progression.

Instructions

100 XP
  • Create an application instance of FastAPI to start developing the API.
  • Create a POST endpoint at /predict that accepts patient features and returns a prediction.
  • Use the loaded model to make a prediction based on the input features.