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