Amazon SageMaker Service Update: Amazon SageMaker Edge Manager provides lightweight model deployment feature to deploy machine learning models on requested devices.

Author: AWS

.changes/next-release/feature-AmazonSageMakerService-802b017.json

@@ -0,0 +1,6 @@
+{
+    "type": "feature",
+    "category": "Amazon SageMaker Service",
+    "contributor": "",
+    "description": "Amazon SageMaker Edge Manager provides lightweight model deployment feature to deploy machine learning models on requested devices."
+}

services/sagemaker/src/main/resources/codegen-resources/paginators-1.json

@@ -90,6 +90,12 @@
       "limit_key": "MaxResults",
       "result_key": "Domains"
     },
+    "ListEdgeDeploymentPlans": {
+      "input_token": "NextToken",
+      "output_token": "NextToken",
+      "limit_key": "MaxResults",
+      "result_key": "EdgeDeploymentPlanSummaries"
+    },
     "ListEdgePackagingJobs": {
       "input_token": "NextToken",
       "output_token": "NextToken",
@@ -275,6 +281,12 @@
       "output_token": "NextToken",
       "limit_key": "MaxResults"
     },
+    "ListStageDevices": {
+      "input_token": "NextToken",
+      "output_token": "NextToken",
+      "limit_key": "MaxResults",
+      "result_key": "DeviceDeploymentSummaries"
+    },
     "ListStudioLifecycleConfigs": {
       "input_token": "NextToken",
       "output_token": "NextToken",