Download
This repository contains implementations of the Random Cut Forest (RCF) probabilistic data structure. RCFs were originally developed at Amazon to use in a nonparametric anomaly detection algorithm for streaming data. Later new algorithms based on RCFs were developed for density estimation, imputation, and forecasting. The different directories correspond to equivalent implementations in different languages, and bindings to to those base implementations, using language-specific features for greater flexibility of use.
Features
- This project has adopted an Open Source Code of Conduct
- The different directories correspond to equivalent implementations in different languages
- This repository contains implementations of the Random Cut Forest (RCF) probabilistic data structure
- RCFs were originally developed at Amazon to use in a nonparametric anomaly detection
- Anomaly detection, density estimation, imputation, and more
Categories
Software DevelopmentLicense
Apache License V2.0Follow Random Cut Forest by AWS
Other Useful Business Software
$300 Free Credits for Your Google Cloud Projects
Launch your next project with $300 in free Google Cloud credits—no strings attached. Test, build, and deploy without risk. Use your credits across the entire Google Cloud platform to find what works best for your needs. After your credits are used, continue with always-free tier services. Only pay when you're ready to scale. Sign up in minutes and start exploring.
Rate This Project
Login To Rate This Project
User Reviews
Be the first to post a review of Random Cut Forest by AWS!