orion.evaluation

Contextual Metrics

contextual_accuracy(expected, observed[, …])	Compute an accuracy score between the ground truth and the detected anomalies.
contextual_precision(expected, observed[, …])	Compute an precision score between the ground truth and the detected anomalies.
contextual_recall(expected, observed[, …])	Compute an recall score between the ground truth and the detected anomalies.
contextual_f1_score(expected, observed[, …])	Compute an f1 score between the ground truth and the detected anomalies.
contextual_confusion_matrix(expected, observed)	Compute the confusion matrix between the ground truth and the detected anomalies.

Point Metrics

point_accuracy(expected, observed[, data, …])	Compute an accuracy score between the ground truth and the detected anomalies.
point_precision(expected, observed[, data, …])	Compute an precision score between the ground truth and the detected anomalies.
point_recall(expected, observed[, data, …])	Compute an recall score between the ground truth and the detected anomalies.
point_f1_score(expected, observed[, data, …])	Compute an f1 score between the ground truth and the detected anomalies.
point_confusion_matrix(expected, observed[, …])	Compute the confusion matrix between the ground truth and the detected anomalies.

orion.benchmark.benchmark orion.evaluation.contextual_accuracy