Open Source: Spark/Scala Isolation Forest Library
I’m happy to announce that my implementation of the isolation forest unsupervised outlier detection algorithm was open sourced today. It is used by the LinkedIn Anti-Abuse AI team to detect and prevent abusive activity on the world’s largest professional network.
You can read more about isolation forests, my Scala/Spark implementation, how it solves challenges unique to anti-abuse work, and many other potential uses for this algorithm on the LinkedIn Engineering Blog. The repository is available on GitHub and artifacts are available in Maven Central.