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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
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Apache License V2.0Follow Random Cut Forest by AWS
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