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| .. | ||
| .ipynb_checkpoints | ||
| csv | ||
| .gitignore | ||
| .python-version | ||
| README.md | ||
| api.py | ||
| model.ipynb | ||
| model.py | ||
| pyproject.toml | ||
| shuffle.py | ||
| treatment.py | ||
| uv.lock | ||
README.md
Overview
This is the machine learning model for the EMS-Sense project.
How to use
This model is built using sklearn. To use it, simply follow these steps:
- Setup uv on your machine uv.
- Run
uv venvto create your virtual environment. - Run
uv pip install -r pyproject.tomlto install the dependencies. - Run
uv run model.pyto train the model. - Run
fastapi dev api.pyto serve the api for the model.