The nd0821-c3-starter-code project is a deployable machine learning model leveraging a FastAPI interface. This project was created as part of the Deploying a Scalable ML Pipeline In Production Project for the Udacity Machine Learning Devops Engineer course.
Use the package manager pip in conjunction with the requirements.txt file to setup the required environment dependencies.
pip install -r requirements.txtA new model can be trained by executing the train_model script. The TrainedModel dataclass containing the trained model, encoder, label binazer and metrics is output to the ./model/ folder.
python -m ml.train_modelThe FastAPI interface can be deployed using uvicorn on a local machine using the following command.
uvicorn main:app --reloadPull requests are welcome. For major changes, please open an issue first to discuss what you would like to change.
Please make sure to update tests as appropriate.