My personal little ML engineering library.
Project description
rics: my personal little ML engineering library.
What is it?
A collection of utility and convenience functions that I've written and rewritten over the years, until they become so general that it makes sense to have them documented and tested for inclusion in the library. The scope is naturally diverse and ranges from basic enum definitions to multivariate performance testing. More advanced features, like element mapping and ID translation, is built on top of basic utilities.
Highlighted Features
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Multivariate performance testing.
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Highly configurable element mapping using a wide variety of filtering, scoring and heuristic functions.
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A flexible ID translation suite: Converts meaningless IDs to human-readable labels. Comes with prebuilt SQL and file-system integration, all of which is configurable using TOML files.
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Various other utilities, ranging from logging to plotting to specialized dict functions.
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.
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