RiCS: my personal little ML engineering library. #
What is it?#
An assorted collections of generic functions that used to live in a Dropbox folder where I used to keep useful snippets. RiCS, pronounced “rix”, is short for Richard’s Code Stash. I started this project with the purpose of learning more about Python best practices, typing and the Python ecosystem. It has grown organically since then, and now provides a wide variety of utility functions. The id-translation suite (installed separately) relies heavily on rics.mapping, as well as a number of other functions provided herein.
Highlighted Features#
Multivariate performance testing.
Highly configurable element mapping;
Provides a wide variety of filtering, scoring and heuristic functions.
Powers Name-to-source mapping for the id-translation suite (installed separately).
Various other utilities, ranging from logging to plotting to specialized dict functions.
Time-based cross-validation splitter for heterogeneous data, including
pandasandscikit-learnintegrations.
Installation#
The package is published through the Python Package Index (PyPI). Source code is available on GitHub: https://github.com/rsundqvist/rics
pip install -U rics
This is the preferred method to install rics, as it will always install the
most recent stable release.
If you don’t have pip installed, this Python installation guide can guide you through the process.
License#
Documentation#
Hosted on Read the Docs: https://rics.readthedocs.io
Contributing#
All contributions, bug reports, bug fixes, documentation improvements, enhancements, and ideas are welcome. To get started, see the Contributing Guide and Code of Conduct.