An implementation of the Random Cut Forest data structure for sketching streaming data, with support for anomaly detection, density estimation, imputation, and more.
Hi, thanks for this library! I recently created a few projects around it and wanted to share:
C / shared library, so more languages can use it 🎉 It uses the Rust library, but Rust is only required to build it.
Ruby and PHP libraries, which call the shared library through FFI.
Standalone CLI (thanks to Rust). It currently supports the AnomalyScoreRunner functionality, but other runners could be added. It uses a CSV parser to address the String::split note in the docs.
If you have any feedback on any of the projects, let me know. Thanks again for creating this!
Hi, thanks for this library! I recently created a few projects around it and wanted to share:
AnomalyScoreRunner
functionality, but other runners could be added. It uses a CSV parser to address theString::split
note in the docs.If you have any feedback on any of the projects, let me know. Thanks again for creating this!