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A Spark/Scala implementation of the isolation forest unsupervised outlier detection algorithm.
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Copyright 2019 LinkedIn Corporation
All Rights Reserved.

Licensed under the BSD 2-Clause License (the "License").
See License in the project root for license information.


This product includes:

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For Apache Spark and its subcomponents:
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This project includes components from the Apache Spark project, generally licensed under Apache License 2.0.  However,
the Apache Spark project contains subcomponents with separate copyright notices and license terms.  Your use of these
subcomponents are subject to the the terms and conditions of the licenses as set forth in the Apache Spark NOTICE
Attributions (https://github.com/apache/spark/blob/branch-2.3/NOTICE).

The following files contain modified Apache Spark code:

isolation-forest/src/main/scala/com/linkedin/relevance/isolationforest/BaggedPoint.scala
isolation-forest/src/main/scala/com/linkedin/relevance/isolationforest/IsolationForestModelReadWrite.scala
isolation-forest/src/test/scala/com/linkedin/relevance/isolationforest/BaggedPointTest.scala

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External dependencies
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In addition, this product automatically loads third party code from an external repository
using the Gradle build system. Such third party code is subject to other license
terms than as set forth above. In addition, such third party code may also
depend on and load multiple tiers of dependencies.

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Dataset at isolation-forest/src/test/resources/mammography.csv and isolation-forest-onnx/test/resources/mammography.csv
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Shebuti Rayana (2016). ODDS Library [http://odds.cs.stonybrook.edu].
Stony Brook, NY: Stony Brook University, Department of Computer Science.
Dataset from https://odds.cs.stonybrook.edu/mammography-dataset/

The original Mammography (Woods et al., 1993) data set was made available by the courtesy of
Aleksandar Lazarevic. This dataset is publicly available in openML (https://www.openml.org/d/310)
under Public Domain Mark 1.0.

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Dataset at isolation-forest/src/test/resources/shuttle.csv and isolation-forest-onnx/test/resources/shuttle.csv
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Shebuti Rayana (2016). ODDS Library [http://odds.cs.stonybrook.edu].
Stony Brook, NY: Stony Brook University, Department of Computer Science.
Dataset from https://odds.cs.stonybrook.edu/shuttle-dataset/

Dua, D. and Graff, C. (2019). UCI Machine Learning Repository [http://archive.ics.uci.edu/ml].
Irvine, CA: University of California, School of Information and Computer Science.

Acknowledgment:
Thanks to Jason Catlett of Basser Department of Computer Science,
University of Sydney, N.S.W., Australia for providing the shuttle dataset.
Thanks also to NASA for allowing us to use the shuttle datasets.

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Acknowledgements
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Some aspects of this library were inspired by the following implementations of the Isolation Forest
algorithm.

- scikit-learn (3-clause BSD): https://scikit-learn.org/stable/modules/generated/sklearn.ensemble.IsolationForest.html
- spark-iforest (Apache 2.0): https://github.com/titicaca/spark-iforest