Visualizing the running ML system is important to measure success rate of the system. There is a dashboard which you can import into your grafana installation and can be found here: https://bit.ly/2ppyFO0
Fact Store Metrics¶
Metrics for seeing the successful deployment of factstore. We may add more metrics in the future.
|aiops_human_feedback_count||count of number of human feedback provided by customer||Counter|
|aiops_human_feedback_error||count of human feedback not able to write to db||Counter|
- Metrics for visualizing the running ML job running and false positives found. We may add more metrics you will find
- updates here.
|aiops_lad_train_count||count of training runs||Counter|
|aiops_lad_inference_count||count of inference runs||Counter|
|aiops_lad_anomaly_count||count of anomalies runs||Gauge|
|aiops_lad_anomaly_avg_score||avg anomaly score||Gauge|
|aiops_lad_false_positive_count||count of false positives processed runs||Counter|
|aiops_hist||histogram of anomalies runs||Histogram|
|aiops_lad_threshold||threshold of marker for anomaly||Gauge|