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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:

  1. Setup uv on your machine uv.
  2. Run uv venv to create your virtual environment.
  3. Run uv pip install -r pyproject.toml to install the dependencies.
  4. Run uv run model.py to train the model.
  5. Run fastapi dev api.py to serve the api for the model.

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Random Forest Classifier Model to predict EMS Experiment

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