isotree: Isolation-Based Outlier Detection
Fast and multi-threaded implementation of
isolation forest (Liu, Ting, Zhou (2008) <doi:10.1109/ICDM.2008.17>),
extended isolation forest (Hariri, Kind, Brunner (2018) <arXiv:1811.02141>),
SCiForest (Liu, Ting, Zhou (2010) <doi:10.1007/978-3-642-15883-4_18>),
and fair-cut forest (Cortes (2019) <arXiv:1911.06646>),
for isolation-based outlier detection, clustered outlier detection, distance or similarity
approximation (Cortes (2019) <arXiv:1910.12362>),
and imputation of missing values (Cortes (2019) <arXiv:1911.06646>),
based on random or guided decision tree splitting. Provides simple heuristics for fitting the model to
categorical columns and handling missing data, and offers options for varying between random and guided
splits, and for using different splitting criteria.
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