Create or update an ML endpoint deployment

Create or update an ML endpoint deployment

Use Microsoft Azure: its Microsoft Azure Endpoint API lets you create or update an ML endpoint deployment in a single step (PUT /subscriptions/{subscriptionId}/resourceGroups/{resourceGroupName}/providers/Microsoft.MachineLearningServices/workspaces/{workspaceName}/endpoints/{endpointName}/deployments/{deploymentName}). capabilities.work can help you get signed up and connected.

• How do I deploy a model to an existing Azure ML endpoint?
• Can I change an existing deployment's settings on an ML endpoint?

Say it to your AI assistant

• Create deployment {deploymentName} on endpoint {endpointName} in workspace {workspaceName} with {properties}.
• Update ML deployment {deploymentName} under {endpointName} to properties {properties}.

For your developer

PUT /subscriptions/{subscriptionId}/resourceGroups/{resourceGroupName}/providers/Microsoft.MachineLearningServices/workspaces/{workspaceName}/endpoints/{endpointName}/deployments/{deploymentName} in Microsoft Azure Endpoint API. Full spec on APIs.io.