Multivariate Unsupervised Anomaly Detection

[waqarkoc]

In notebook 2.2, Kats requires parameters and training days for anomaly detection. After specifying the training days, it trains the model and detects anomalies on the testing set. How can anomalies be detected in the multivariate case without performing training? Specifically, how can anomalies be identified across the entire dataset?