Isolation Forest on Spark
@titicaca / (1)
An implementation of distributed isolation forest on Spark, which is trained via model-wise parallelism, and predicts a new Dataset via data-wise parallelism.
This package doesn't have any releases published in the Spark Packages repo, or with maven coordinates supplied. You may have to build this package from source, or it may simply be a script. To use this Spark Package, please follow the instructions in the README.