Scalable Unsupervised Outlier Detection (SUOD) is an accelerated framework for training and prediction in ML models that perform outlier detection.

Use SUOD to train a large number of detection models in PyOD.

Related terms

Outlier Detection
Copula-Based Outlier Detection (COPOD)
Empirical Cumulative-distribution-based Outlier Detection (ECOD)
PyOD