| Name : R-isotree
| |
| Version : 0.6.1.1
| Vendor : obs://build_opensuse_org/devel:languages:R
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| Release : lp153.2.3
| Date : 2024-07-18 14:45:02
|
| Group : Development/Libraries/Other
| Source RPM : R-isotree-0.6.1.1-lp153.2.3.src.rpm
|
| Size : 3.85 MB
| |
| Packager : (none)
| |
| Summary : Isolation-Based Outlier Detection
|
Description :
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>), fair-cut forest
(Cortes (2021) < arXiv:2110:13402>), robust random-cut forest (Guha,
Mishra, Roy, Schrijvers (2016)
< http://proceedings.mlr.press/v48/guha16.html>), and customizable
variations of them, for isolation-based outlier detection, clustered
outlier detection, distance or similarity approximation (Cortes (2019)
< arXiv:1910.12362>), isolation kernel calculation (Ting, Zhu, Zhou
(2018) < doi:10.1145/3219819.3219990>), and imputation of missing values
(Cortes (2019) < arXiv:1911.06646>), based on random or guided decision
tree splitting, and providing different metrics for scoring anomalies
based on isolation depth or density (Cortes (2021) < arXiv:2111.11639>).
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.
|
RPM found in directory: /packages/linux-pbone/ftp5.gwdg.de/pub/opensuse/repositories/devel:/languages:/R:/autoCRAN/openSUSE_Leap_15.3/x86_64 |
