Glass API

This repo develops a plumber API (an analogous tool to FastAPI of Python for API Development) that classifies glass based on its type (window / non-window), using ML model (Random Forest). My model is built using tidymodels and ranger packages. The model build is outside the scope of docker. After the construction of my model, I exported it in an .RDS format which is used by API.

You can get the image by running the following command in your terminal:

docker pull stesiam/glass-api

To run the image:

docker run -p 8000:8000 stesiam/glass-api

When you run the image, the API documentation will be available at http://127.0.0.1:8000/__docs__/

Note : In case you get a permission error, consider to use sudo on the aforementionned commands.

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📦 DockerHub Repo: glass-api

💾 Data Source: UCI Machine Learning Repository