Statements (33)
| Predicate | Object |
|---|---|
| gptkbp:instanceOf |
gptkb:software
|
| gptkbp:author |
Alok Chilka
Yue Zhao Zain Nasrullah Zheng Li |
| gptkbp:citation |
Zhao, Y., Nasrullah, Z., & Li, Z. (2019). PyOD: A Python Toolbox for Scalable Outlier Detection. Journal of Machine Learning Research, 20(96), 1-7.
|
| gptkbp:documentation |
https://pyod.readthedocs.io/
|
| gptkbp:firstReleased |
2017
|
| https://www.w3.org/2000/01/rdf-schema#label |
PyOD
|
| gptkbp:license |
gptkb:BSD_2-Clause
|
| gptkbp:pipInstallable |
true
|
| gptkbp:platform |
Cross-platform
|
| gptkbp:programmingLanguage |
gptkb:Python
|
| gptkbp:purpose |
outlier detection
|
| gptkbp:PyPI |
https://pypi.org/project/pyod/
|
| gptkbp:repository |
https://github.com/yzhao062/pyod
|
| gptkbp:supportsAlgorithm |
gptkb:SOD
gptkb:PCA gptkb:HBOS gptkb:LOF gptkb:MCD Isolation Forest kNN ABOD AutoEncoder CBLOF Feature Bagging SUOD XGBOD |
| gptkbp:usedFor |
anomaly detection
novelty detection |
| gptkbp:bfsParent |
gptkb:Databricks_Runtime_11.2_ML
|
| gptkbp:bfsLayer |
8
|