feat(client-sagemaker): 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: awstools

clients/client-sagemaker/src/models/models_1.ts

@@ -1159,7 +1159,7 @@ export interface ResourceLimits {
    *             number of training jobs that a hyperparameter tuning job can
    *             launch.</p>
    */
-  MaxNumberOfTrainingJobs: number | undefined;
+  MaxNumberOfTrainingJobs?: number;
 
   /**
    * <p>The
@@ -1172,6 +1172,7 @@ export interface ResourceLimits {
 
 export enum HyperParameterTuningJobStrategyType {
   BAYESIAN = "Bayesian",
+  GRID = "Grid",
   HYPERBAND = "Hyperband",
   RANDOM = "Random",
 }

codegen/sdk-codegen/aws-models/sagemaker.json

@@ -22422,6 +22422,12 @@
           "traits": {
             "smithy.api#enumValue": "Hyperband"
           }
+        },
+        "GRID": {
+          "target": "smithy.api#Unit",
+          "traits": {
+            "smithy.api#enumValue": "Grid"
+          }
         }
       },
       "traits": {
@@ -30592,7 +30598,6 @@
     "com.amazonaws.sagemaker#MaxNumberOfTrainingJobs": {
       "type": "integer",
       "traits": {
-        "smithy.api#default": 0,
         "smithy.api#range": {
           "min": 1
         }
@@ -39570,9 +39575,7 @@
         "MaxNumberOfTrainingJobs": {
           "target": "com.amazonaws.sagemaker#MaxNumberOfTrainingJobs",
           "traits": {
-            "smithy.api#default": 0,
-            "smithy.api#documentation": "<p>The\n            maximum\n            number of training jobs that a hyperparameter tuning job can\n            launch.</p>",
-            "smithy.api#required": {}
+            "smithy.api#documentation": "<p>The\n            maximum\n            number of training jobs that a hyperparameter tuning job can\n            launch.</p>"
           }
         },
         "MaxParallelTrainingJobs": {