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A small tool for data collection and processing for SE2021 HSE SPb course

Project description

Hermes

Project description

This project's implementation is a part of SE course in Higher School of Economics.

Hermes is a platform for collecting data from hospitals and clinics and using this data for training ML models.

Project presentation is available here

The project is currently in an initial state.

Instructions

Install

pip install hermes-se2021

Build from source

git clone git@github.com:MariaChizhova/SE_2021.git
cd SE_2021

python3 -m pip install poetry
poetry install

Install from source

poetry build
python3 -m pip install "$(find dist -name "*.whl" -print -quit)"

Usage

Run web application:

poetry run uvicorn hermes.endpoints:app --reload

Using as a library

import hermes
import hermes.stroke_regressor

Tests

poetry run ./tests.sh all

Roadmap

The roadmap of the project is available here

CHANGELOG

The changelog of the project is available here

Acknowledgements

Thanks to our teachers (Vladislav Tankov, Timofey Bryksin) for created this task!

Contributors

Maria Chizhova: @MariaChizhova

Anna Potryasaeva: @annapotr

Jura Khudyakov: @23jura23

Contributing

Pull requests are welcome!

Additional instructions

Develop in venv with all dependencies:

After executing poetry install:

  • Use poetry shell to launch a shell with all dependencies
  • For usage with PyCharm one can use virtual environment from ~/.cache/pypoetry/virtualenvs

Deploying to PyPi repository

poetry publish

License

MIT

Project details


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