dgld.utils.evaluation

This is a program about evaluating scores.

dgld.utils.evaluation.split_auc(groundtruth, prob)[source]

print the scoring(AUC) of the two types of anomalies separately and global auc.

Parameters

  • groundtruth (np.ndarray) – Indicates whether this node is an injected anomaly node. 0: normal node; 1: structural anomaly; 2: contextual anomaly

  • prob (np.ndarray-like array) – saving the predicted score for every node

Return type

None