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
Project details
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