rics 6.0.4

My personal little ML engineering library.

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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 dict type.
• 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

MIT

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.