My personal little ML engineering library.
Project description
Readme
My personal little ML engineering library.
- GitHub repo: https://github.com/rsundqvist/rics.git
- Documentation: https://rics.readthedocs.io
- Free software: MIT
Features
- Multivariate performance testing - with plots!
- An extensible ID translation suite, including SQL integration for retrival of data
- Various other utilities methods - from logging configuration to fetching data from the web
- Two-directional mapping implementation in
rics.mapping
Quickstart for development
Notice
This project uses groups for extras dependencies, which is currently a PRERELEASE feature (slated for 1.2). Assuming
poetry was installed the recommended way (see below), this can be done using:
curl -sSL https://install.python-poetry.org/ | python -
poetry self update --preview 1.2.0a2
Setting up for local development
Assumes a "modern" version of Ubuntu (guide written under Ubuntu 20.04.2 LTS) with basic dev dependencies installed.
This project uses groups for extras dependencies. If installation fails, make sure that output from poetry --version
is 1.2.0 or greater.
To get started, run the following commands:
-
Installing the latest version of Poetry
curl -sSL https://install.python-poetry.org/ | python -
-
Installing the project
git clone git@github.com:rsundqvist/rics.git cd rics poetry install --with dev-extras inv install-hooks ./run-invocations
The last step is optional, but serves to verify that the project is ready-to-run.
Registering the project on Codecov
Probably only for forking?
curl -Os https://uploader.codecov.io/latest/linux/codecov
chmod +x codecov
Visit https://app.codecov.io and log in, follow instructions to link the repo and get a token for private repos.
CODECOV_TOKEN="<from-the-website>"
inv coverage --fmt=xml
./codecov -t ${CODECOV_TOKEN}
Credits
This package was created with Cookiecutter and the fedejaure/cookiecutter-modern-pypackage project template.
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