Machine Learning (ML) status describes the various stages of machine learning implementation in a policy from analyzing a sequence to correlating alerts.

ML StatusDescription
Insufficient data. The policy is temporarily disabled. Due to insufficient data, the machine learning model cannot detect the alert sequences, and correlation does not happen. As a result, the policy is temporarily disabled. The policy becomes active when the machine learning model finds sufficient data.
The Training ML model is queued. To use, wait for completion. When a policy is created or a CSV file is uploaded to a policy, the training can be queued. If already a policy is in training, the new policy is queued. After the training on the existing policy is complete, the status of the new policy moves to Training Initiated.
The Training ML model is initiated. To use, wait for completion. Training on the machine learning model is initiated. The status then moves to Training Started.
The Training ML model is started. To use, wait for completion. Training on the machine learning model is started. The progress of the training is visible on the progress bar.
The Training ML model is in progress. To use, wait for completion. Training on the ML model is in progress. The percentage of progress is shown in the progress bar.
ML model training is complete and is ready to detect and correlate alerts.
ML training encountered an error. Contact OpsRamp Support.