Viewing deployment summary of trained Machine Learning models

The deployment summary is a valuable resource for administrators to monitor the status and performance of machine learning models, ensuring that data analysis and decision-making processes are running smoothly and effectively.

To view a deployment summary of a trained model

1. On the BMC Helix Edge page, select Machine Learning.
2. On the Machine Learning page, identify the specific model to train in the list of trained Machine Learning models.
3. Clicknext to the model to expand the model details.

4. In the expanded Model panel, click Deployment summary.
   BMC Helix Edge displays information about the deployment, including the Machine Learning model and the deployment status: 
   
   The following table describes the model (description?) fields:

   Field name	Description
   Model	This field refers to the specific machine learning model deployed in the BMC Helix Edge setup. It typically includes the name or identifier of the model used for processing and analyzing data within the Edge environment.
   Description	This field provides additional details or context about the deployed machine learning model. It might include information about the model's purpose, functionality, or specific characteristics that differentiate it from other models.
   Algorithm	This field specifies the machine learning algorithm or method the deployed model uses for data analysis and prediction. Machine learning algorithms are mathematical techniques employed to uncover patterns and insights in data. Examples of algorithms include decision trees, neural networks, linear regression, and HedgeAnomaly.
   Primary Profile	This field indicates the set of devices and metrics the model works with. In the context of BMC Helix Edge, the primary profile refers to the device profile or configuration primarily associated with the deployed model. The primary profile helps users understand the scope and focus of the model's data analysis.

   The following table describes the table headings related to the deployment summary:

   Column name	Description
   Nodes	This field lists all the nodes or components involved in the deployment. Nodes can include core nodes, edge nodes, or other system components that process and analyze data.
   Node ID	This identifier helps track and manage individual nodes within the Edge setup. Each node in the deployment environment is assigned a unique identifier known as the Node ID.
   Last version	This field indicates the version or revision of the deployed machine learning model. It helps users keep track of changes and updates to the model over time.
   Deployment date	This field specifies when the deployment was initiated or completed. It provides a time stamp for when the model became operational within the BMC Helix Edge environment.
   Last status	This field reports the deployed model's most recent status or condition. This status could be categorized as follows, indicating whether the model is functioning as expected: ReadyToDeploy ModelDeployedAtEdge ModelDeploymentFailed PublishedDeployCommand PublishedUnDeployCommand ModelDeployedAtEdge ModelUnDeployedAtEdge ModelDeploymentFailed ModelUnDeploymentFailed ModelEventConfigSyncSuccess ModelEventConfigSyncFailed ModelEndOfLife