This image dockerizes 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.
💻 GitHub Repo: GlassAPI
💾 Data Source: UCI Machine Learning Repository
Content type
Image
Digest
sha256:c62002d3a…
Size
750.8 MB
Last updated
over 2 years ago
docker pull stesiam/glass-api