Supervision
- class dtaianomaly.anomaly_detection.Supervision(*values)[source]
Supervision types.
An enum for the different supervision types for anomaly detectors. Valid supervision types are:
Unsupervised: the anomaly detector does not need any labels or training data.Semi-supervised: The anomaly detector requires normal training data, but no training labels.Supervised: The anomaly detector requires both training data and training labels. The training data may contain anomalies.