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See [Monitor Machine Learning](monitor-azure-machine-learning.md) for details on the data you can collect for Azure Machine Learning and how to use it.
The resource provider for these metrics is Microsoft.MachineLearningServices/workspaces.
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The metrics categories are Model, Quota, Resource, Run, and Traffic. Quota information is for Machine Learning compute only. Run provides information on training runs for the workspace.
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The metrics categories are **Model**, **Quota**, **Resource**, **Run**, and **Traffic**. **Quota** information is for Machine Learning compute only. **Run** provides information on training runs for the workspace.
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<!-- Repeat the following section for each resource type/namespace in your service. -->
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### Supported metrics for Microsoft.MachineLearningServices/workspaces
@@ -57,13 +57,13 @@ The following table lists the metrics available for the Microsoft.MachineLearnin
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2. Find the metrics for the resource type at https://learn.microsoft.com/azure/azure-monitor/reference/supported-metrics/metrics-index#supported-metrics-per-resource-type, which is autogenerated from underlying systems. Either link to the listed metrics page(s), OR #include the metrics table(s).
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3. Add any further information after each metric #include or link. -->
### Supported metrics for Microsoft.MachineLearningServices/workspaces/onlineEndpoints/deployments
@@ -74,12 +74,12 @@ The following table lists the metrics available for the Microsoft.MachineLearnin
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2. Find the metrics for the resource type at https://learn.microsoft.com/azure/azure-monitor/reference/supported-metrics/metrics-index#supported-metrics-per-resource-type, which is autogenerated from underlying systems. Either link to the listed metrics page(s), OR #include the metrics table(s).
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3. Add any further information after each metric #include or link. -->
<!-- Find the table(s) for your service at https://learn.microsoft.com/azure/azure-monitor/reference/tables/tables-resourcetype. These files are auto generated from the REST API.
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NOTE: Also refer to https://learn.microsoft.com/azure/azure-monitor/reference/tables/azurediagnostics#azure-diagnostics-mode to see whether your service uses the AzureDiagnostics table in Azure Monitor Logs / Log Analytics.
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Link to the service-specific tables. If your service uses the AzureDiagnostics table, list the fields you use and what they're for. If your service uses both tables, list both types of information. Add any further information after each table link, such as descriptions and usage, or information not found in the tables. Example:
<!-- Refer to https://learn.microsoft.com/azure/role-based-access-control/resource-provider-operations and link to the possible operations for your service, using the format - [<Namespace> resource provider operations](/azure/role-based-access-control/resource-provider-operations#<namespace>).
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Example: - .
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If there are other operations not in the link, list them here in table form. -->
@@ -167,7 +167,7 @@ The following table lists some operations related to Machine Learning that may b
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| List secrets | On operation listed secrets for a Machine Learning workspace |
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<!-- ## Other schemas. Optional section. Please keep heading in this order. If your service uses other schemas, add the following include and information. -->
<!-- List other schemas and their usage here. These can be resource logs, alerts, event hub formats, etc. depending on what you think is important. You can put JSON messages, API responses not listed in the REST API docs, and other similar types of info here. -->
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