RiCS: my personal little ML engineering library. #
What is it?#
An assorted collection of reusable functions that used to live in a Dropbox folder. 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 small utility functions. Large submodules are typically converted to stand-alone PyPI packages once they begin to mature.
Highlighted Features#
Multivariate performance testing and plotting.
get_by_full_name(): Import functions, objects and classes by name.
rics.collections.dicts: Extended functionality for the built-in
dicttype.basic_config(): Configure logging for development.
And much more; click here for the full API.
Related libraries#
The following packages started life as RiCS submodules.
ID Translation
Turn meaningless IDs into human-readable labels.
Time Split
Time-based k-fold validation splits for heterogeneous data.
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.
License#
Documentation#
Hosted on Read the Docs: https://rics.readthedocs.io
Command line program#
The rics CLI is bundled with the package. Some related libraries will add new subroutines. To
get an overview, run:
rics --help
in the terminal.
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.