scale is an experimental classifier designed to predict obesity levels using a range of metrics beyond just height and weight.
My goal with the project was to get some open-source applied ML code out there, particularly since most of my professional work is typically done behind closed doors. I hope this repo also serves as a reference others!
The demo is hosted here: https://scale.galdin.dev
The demo API is hosted here: https://scale-api.galdin.dev
Note that the hosted scale API has been heavily rate-limited since it is currently running on my personal cluster.
Pre-requisites: Docker Desktop
docker compose build
docker compose up
# App: http://localhost:8888
# API: http://localhost:8808Pre-requisites: Docker Desktop, VS Code, VS Code Dev Containers Extension
A development container is a pre-configured development environment running within a docker container. It has everything you need to get started with a project, and you won't have to install any dependencies such as python, or rust, etc.
To open a project in a development environment, open one of the project folders in VS Code, press Ctrl+Shift+P to open the command palette, and run the "Reopen in Container" command. The project folders are as follows:
./notebooks
./apps/pyworker
./apps/webapi
./apps/reactappThis project is based on the following dataset:
- Estimation of Obesity Levels Based On Eating Habits and Physical Condition [Dataset]. (2019). UCI Machine Learning Repository. https://doi.org/10.24432/C5H31Z.
This project is licensed under a GNU Affero General Public License (AGPL) v3.0.
See the LICENSE file for more details.
I picked AGPL largely because I do not see anyone needing to use this project outside of an open-source context. However, if you'd like this project under a more permissive license, please open an issue explaining your use-case.
The dataset, originally published by Fabio Mendoza Palechor and Alexis De la Hoz Manotas, is redistributed under a Creative Commons Attribution 4.0 International (CC BY 4.0) license.