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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 venv
to create your virtual environment. - Run
uv pip install -r pyproject.toml
to install the dependencies. - Run
uv run model.py
to train the model. - Run
fastapi dev api.py
to serve the api for the model.