Get an ML endpoint deployment by name
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Get an ML endpoint deployment by name
with Microsoft Azure
Use Microsoft Azure: its Microsoft Azure Endpoint API lets you get an ML endpoint deployment by name in a single step (GET /subscriptions/{subscriptionId}/resourceGroups/{resourceGroupName}/providers/Microsoft.MachineLearningServices/workspaces/{workspaceName}/endpoints/{endpointName}/deployments/{deploymentName}). capabilities.work can help you get signed up and connected.
- How can I inspect a single deployment on an ML endpoint?
- What's the configuration of a named deployment behind my endpoint?
Say it to your AI assistant
- Get deployment {deploymentName} on endpoint {endpointName} in workspace {workspaceName}.
- Show details of ML deployment {deploymentName} under {endpointName}.
For your developer
GET /subscriptions/{subscriptionId}/resourceGroups/{resourceGroupName}/providers/Microsoft.MachineLearningServices/workspaces/{workspaceName}/endpoints/{endpointName}/deployments/{deploymentName} in Microsoft Azure Endpoint API. Full spec on APIs.io.