Amazon SageMaker Service Update: Amazon SageMaker Automatic Model Tuning now supports specifying Grid Search strategy for tuning jobs, which evaluates all hyperparameter combinations exhaustively based on the categorical hyperparameters provided.

Author: AWS

.changes/next-release/feature-AmazonSageMakerService-a9f25f2.json

@@ -0,0 +1,6 @@
+{
+    "type": "feature",
+    "category": "Amazon SageMaker Service",
+    "contributor": "",
+    "description": "Amazon SageMaker Automatic Model Tuning now supports specifying Grid Search strategy for tuning jobs, which evaluates all hyperparameter combinations exhaustively based on the categorical hyperparameters provided."
+}

services/sagemaker/src/main/resources/codegen-resources/service-2.json

@@ -15757,7 +15757,8 @@
       "enum":[
         "Bayesian",
         "Random",
-        "Hyperband"
+        "Hyperband",
+        "Grid"
       ]
     },
     "HyperParameterTuningJobSummaries":{
@@ -25203,10 +25204,7 @@
     },
     "ResourceLimits":{
       "type":"structure",
-      "required":[
-        "MaxNumberOfTrainingJobs",
-        "MaxParallelTrainingJobs"
-      ],
+      "required":["MaxParallelTrainingJobs"],
       "members":{
         "MaxNumberOfTrainingJobs":{
           "shape":"MaxNumberOfTrainingJobs",