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