Amazon SageMaker Service Update: Added support for serverless MLflow Apps. Added support for new HubContentTypes (DataSet and JsonDoc) in Private Hub for AI model customization assets, enabling tracking and management of training datasets and evaluators (reward functions/prompts) throughout the ML lifecycle.

Author: AWS

.changes/next-release/feature-AmazonSageMakerService-7e757d8.json

@@ -0,0 +1,6 @@
+{
+    "type": "feature",
+    "category": "Amazon SageMaker Service",
+    "contributor": "",
+    "description": "Added support for serverless MLflow Apps. Added support for new HubContentTypes (DataSet and JsonDoc) in Private Hub for AI model customization assets, enabling tracking and management of training datasets and evaluators (reward functions/prompts) throughout the ML lifecycle."
+}

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

@@ -240,6 +240,12 @@
       "limit_key": "MaxResults",
       "result_key": "LineageGroupSummaries"
     },
+    "ListMlflowApps": {
+      "input_token": "NextToken",
+      "output_token": "NextToken",
+      "limit_key": "MaxResults",
+      "result_key": "Summaries"
+    },
     "ListMlflowTrackingServers": {
       "input_token": "NextToken",
       "output_token": "NextToken",