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No dynamic\nmemory allocation, online algorithms, easy to use and extend.\n\nPlanned: \n- CSV reading\n- Feature hashing\n- Passive-aggressive regression/classification\n- More metrics\n\n## Getting started\nBuild with Meson:\n\n```bash\nmeson setup builddir\nmeson test -C builddir\n```\n\nSee `examples/` for usage.\n\n\n## Algorithms\n- [Xorshift](docs/marsaglia2003xrn.pdf): PRNG\n- [FNV hash](https://tools.ietf.org/html/draft-eastlake-fnv-17): Feature hashing\n- Welford's method: Online mean/variance\n- Fast Walsh-Hadamard Transform: O(n log n) transform\n- Passive-aggressive learning (planned)\n- Online learning utilities (planned)\n- More metrics (planned)\n\n\n## License\nBSD 3-Clause License. See `LICENSE`.\n\n\n\n[![CI Meson](https://github.com/breuderink/epsilon/actions/workflows/ci_meson.yml/badge.svg)](https://github.com/breuderink/epsilon/actions/workflows/ci_meson.yml)","funding_links":[],"categories":[],"sub_categories":[],"project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fbreuderink%2Fepsilon","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fbreuderink%2Fepsilon","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fbreuderink%2Fepsilon/lists"}