feat(client-sagemaker): Releasing large data support as part of Creat…

…eAutoMLJobV2 in SageMaker Autopilot and CreateDomain API for SageMaker Canvas.
aws · Aug 12, 2024 · 014f34c · 014f34c
1 parent 933816f
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diff --git a/clients/client-sagemaker/src/commands/CreateAutoMLJobCommand.ts b/clients/client-sagemaker/src/commands/CreateAutoMLJobCommand.ts
@@ -29,6 +29,18 @@ export interface CreateAutoMLJobCommandOutput extends CreateAutoMLJobResponse, _
 
 /**
  * <p>Creates an Autopilot job also referred to as Autopilot experiment or AutoML job.</p>
+ *          <p>An AutoML job in SageMaker is a fully automated process that allows you to build machine
+ *          learning models with minimal effort and machine learning expertise. When initiating an
+ *          AutoML job, you provide your data and optionally specify parameters tailored to your use
+ *          case. SageMaker then automates the entire model development lifecycle, including data
+ *          preprocessing, model training, tuning, and evaluation. AutoML jobs are designed to simplify
+ *          and accelerate the model building process by automating various tasks and exploring
+ *          different combinations of machine learning algorithms, data preprocessing techniques, and
+ *          hyperparameter values. The output of an AutoML job comprises one or more trained models
+ *          ready for deployment and inference. Additionally, SageMaker AutoML jobs generate a candidate
+ *          model leaderboard, allowing you to select the best-performing model for deployment.</p>
+ *          <p>For more information about AutoML jobs, see <a href="https://docs.aws.amazon.com/sagemaker/latest/dg/autopilot-automate-model-development.html">https://docs.aws.amazon.com/sagemaker/latest/dg/autopilot-automate-model-development.html</a>
+ *          in the SageMaker developer guide.</p>
  *          <note>
  *             <p>We recommend using the new versions <a href="https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_CreateAutoMLJobV2.html">CreateAutoMLJobV2</a> and <a href="https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_DescribeAutoMLJobV2.html">DescribeAutoMLJobV2</a>, which offer backward compatibility.</p>
  *             <p>

diff --git a/clients/client-sagemaker/src/commands/CreateAutoMLJobV2Command.ts b/clients/client-sagemaker/src/commands/CreateAutoMLJobV2Command.ts
@@ -5,7 +5,7 @@ import { Command as $Command } from "@smithy/smithy-client";
 import { MetadataBearer as __MetadataBearer } from "@smithy/types";
 
 import { commonParams } from "../endpoint/EndpointParameters";
-import { CreateAutoMLJobV2Request, CreateAutoMLJobV2Response } from "../models/models_0";
+import { CreateAutoMLJobV2Request, CreateAutoMLJobV2Response } from "../models/models_1";
 import { de_CreateAutoMLJobV2Command, se_CreateAutoMLJobV2Command } from "../protocols/Aws_json1_1";
 import { SageMakerClientResolvedConfig, ServiceInputTypes, ServiceOutputTypes } from "../SageMakerClient";
 
@@ -29,6 +29,21 @@ export interface CreateAutoMLJobV2CommandOutput extends CreateAutoMLJobV2Respons
 
 /**
  * <p>Creates an Autopilot job also referred to as Autopilot experiment or AutoML job V2.</p>
+ *          <p>An AutoML job in SageMaker is a fully automated process that allows you to build machine
+ *          learning models with minimal effort and machine learning expertise. When initiating an
+ *          AutoML job, you provide your data and optionally specify parameters tailored to your use
+ *          case. SageMaker then automates the entire model development lifecycle, including data
+ *          preprocessing, model training, tuning, and evaluation. AutoML jobs are designed to simplify
+ *          and accelerate the model building process by automating various tasks and exploring
+ *          different combinations of machine learning algorithms, data preprocessing techniques, and
+ *          hyperparameter values. The output of an AutoML job comprises one or more trained models
+ *          ready for deployment and inference. Additionally, SageMaker AutoML jobs generate a candidate
+ *          model leaderboard, allowing you to select the best-performing model for deployment.</p>
+ *          <p>For more information about AutoML jobs, see <a href="https://docs.aws.amazon.com/sagemaker/latest/dg/autopilot-automate-model-development.html">https://docs.aws.amazon.com/sagemaker/latest/dg/autopilot-automate-model-development.html</a>
+ *          in the SageMaker developer guide.</p>
+ *          <p>AutoML jobs V2 support various problem types such as regression, binary, and multiclass
+ *          classification with tabular data, text and image classification, time-series forecasting,
+ *          and fine-tuning of large language models (LLMs) for text generation.</p>
  *          <note>
  *             <p>
  *                <a href="https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_CreateAutoMLJobV2.html">CreateAutoMLJobV2</a> and <a href="https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_DescribeAutoMLJobV2.html">DescribeAutoMLJobV2</a> are new versions of <a href="https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_CreateAutoMLJob.html">CreateAutoMLJob</a>
@@ -197,6 +212,11 @@ export interface CreateAutoMLJobV2CommandOutput extends CreateAutoMLJobV2Respons
  *   DataSplitConfig: { // AutoMLDataSplitConfig
  *     ValidationFraction: Number("float"),
  *   },
+ *   AutoMLComputeConfig: { // AutoMLComputeConfig
+ *     EmrServerlessComputeConfig: { // EmrServerlessComputeConfig
+ *       ExecutionRoleARN: "STRING_VALUE", // required
+ *     },
+ *   },
  * };
  * const command = new CreateAutoMLJobV2Command(input);
  * const response = await client.send(command);

diff --git a/clients/client-sagemaker/src/commands/CreateClusterCommand.ts b/clients/client-sagemaker/src/commands/CreateClusterCommand.ts
@@ -5,8 +5,7 @@ import { Command as $Command } from "@smithy/smithy-client";
 import { MetadataBearer as __MetadataBearer } from "@smithy/types";
 
 import { commonParams } from "../endpoint/EndpointParameters";
-import { CreateClusterRequest } from "../models/models_0";
-import { CreateClusterResponse } from "../models/models_1";
+import { CreateClusterRequest, CreateClusterResponse } from "../models/models_1";
 import { de_CreateClusterCommand, se_CreateClusterCommand } from "../protocols/Aws_json1_1";
 import { SageMakerClientResolvedConfig, ServiceInputTypes, ServiceOutputTypes } from "../SageMakerClient";
 

diff --git a/clients/client-sagemaker/src/commands/CreateDomainCommand.ts b/clients/client-sagemaker/src/commands/CreateDomainCommand.ts
@@ -185,6 +185,10 @@ export interface CreateDomainCommandOutput extends CreateDomainResponse, __Metad
  *       GenerativeAiSettings: { // GenerativeAiSettings
  *         AmazonBedrockRoleArn: "STRING_VALUE",
  *       },
+ *       EmrServerlessSettings: { // EmrServerlessSettings
+ *         ExecutionRoleArn: "STRING_VALUE",
+ *         Status: "ENABLED" || "DISABLED",
+ *       },
  *     },
  *     CodeEditorAppSettings: { // CodeEditorAppSettings
  *       DefaultResourceSpec: {
@@ -253,7 +257,7 @@ export interface CreateDomainCommandOutput extends CreateDomainResponse, __Metad
  *     ],
  *     StudioWebPortalSettings: { // StudioWebPortalSettings
  *       HiddenMlTools: [ // HiddenMlToolsList
- *         "DataWrangler" || "FeatureStore" || "EmrClusters" || "AutoMl" || "Experiments" || "Training" || "ModelEvaluation" || "Pipelines" || "Models" || "JumpStart" || "InferenceRecommender" || "Endpoints" || "Projects",
+ *         "DataWrangler" || "FeatureStore" || "EmrClusters" || "AutoMl" || "Experiments" || "Training" || "ModelEvaluation" || "Pipelines" || "Models" || "JumpStart" || "InferenceRecommender" || "Endpoints" || "Projects" || "InferenceOptimization",
  *       ],
  *       HiddenAppTypes: [ // HiddenAppTypesList
  *         "JupyterServer" || "KernelGateway" || "DetailedProfiler" || "TensorBoard" || "CodeEditor" || "JupyterLab" || "RStudioServerPro" || "RSessionGateway" || "Canvas",

diff --git a/clients/client-sagemaker/src/commands/CreateProcessingJobCommand.ts b/clients/client-sagemaker/src/commands/CreateProcessingJobCommand.ts
@@ -82,7 +82,7 @@ export interface CreateProcessingJobCommandOutput extends CreateProcessingJobRes
  *         OutputName: "STRING_VALUE", // required
  *         S3Output: { // ProcessingS3Output
  *           S3Uri: "STRING_VALUE", // required
- *           LocalPath: "STRING_VALUE", // required
+ *           LocalPath: "STRING_VALUE",
  *           S3UploadMode: "Continuous" || "EndOfJob", // required
  *         },
  *         FeatureStoreOutput: { // ProcessingFeatureStoreOutput

diff --git a/clients/client-sagemaker/src/commands/CreateUserProfileCommand.ts b/clients/client-sagemaker/src/commands/CreateUserProfileCommand.ts
@@ -156,6 +156,10 @@ export interface CreateUserProfileCommandOutput extends CreateUserProfileRespons
  *       GenerativeAiSettings: { // GenerativeAiSettings
  *         AmazonBedrockRoleArn: "STRING_VALUE",
  *       },
+ *       EmrServerlessSettings: { // EmrServerlessSettings
+ *         ExecutionRoleArn: "STRING_VALUE",
+ *         Status: "ENABLED" || "DISABLED",
+ *       },
  *     },
  *     CodeEditorAppSettings: { // CodeEditorAppSettings
  *       DefaultResourceSpec: {
@@ -224,7 +228,7 @@ export interface CreateUserProfileCommandOutput extends CreateUserProfileRespons
  *     ],
  *     StudioWebPortalSettings: { // StudioWebPortalSettings
  *       HiddenMlTools: [ // HiddenMlToolsList
- *         "DataWrangler" || "FeatureStore" || "EmrClusters" || "AutoMl" || "Experiments" || "Training" || "ModelEvaluation" || "Pipelines" || "Models" || "JumpStart" || "InferenceRecommender" || "Endpoints" || "Projects",
+ *         "DataWrangler" || "FeatureStore" || "EmrClusters" || "AutoMl" || "Experiments" || "Training" || "ModelEvaluation" || "Pipelines" || "Models" || "JumpStart" || "InferenceRecommender" || "Endpoints" || "Projects" || "InferenceOptimization",
  *       ],
  *       HiddenAppTypes: [ // HiddenAppTypesList
  *         "JupyterServer" || "KernelGateway" || "DetailedProfiler" || "TensorBoard" || "CodeEditor" || "JupyterLab" || "RStudioServerPro" || "RSessionGateway" || "Canvas",

diff --git a/clients/client-sagemaker/src/commands/DescribeAutoMLJobV2Command.ts b/clients/client-sagemaker/src/commands/DescribeAutoMLJobV2Command.ts
@@ -273,6 +273,11 @@ export interface DescribeAutoMLJobV2CommandOutput extends DescribeAutoMLJobV2Res
  * //       ],
  * //     },
  * //   },
+ * //   AutoMLComputeConfig: { // AutoMLComputeConfig
+ * //     EmrServerlessComputeConfig: { // EmrServerlessComputeConfig
+ * //       ExecutionRoleARN: "STRING_VALUE", // required
+ * //     },
+ * //   },
  * // };
  *
  * ```

diff --git a/clients/client-sagemaker/src/commands/DescribeDomainCommand.ts b/clients/client-sagemaker/src/commands/DescribeDomainCommand.ts
@@ -157,6 +157,10 @@ export interface DescribeDomainCommandOutput extends DescribeDomainResponse, __M
  * //       GenerativeAiSettings: { // GenerativeAiSettings
  * //         AmazonBedrockRoleArn: "STRING_VALUE",
  * //       },
+ * //       EmrServerlessSettings: { // EmrServerlessSettings
+ * //         ExecutionRoleArn: "STRING_VALUE",
+ * //         Status: "ENABLED" || "DISABLED",
+ * //       },
  * //     },
  * //     CodeEditorAppSettings: { // CodeEditorAppSettings
  * //       DefaultResourceSpec: {
@@ -225,7 +229,7 @@ export interface DescribeDomainCommandOutput extends DescribeDomainResponse, __M
  * //     ],
  * //     StudioWebPortalSettings: { // StudioWebPortalSettings
  * //       HiddenMlTools: [ // HiddenMlToolsList
- * //         "DataWrangler" || "FeatureStore" || "EmrClusters" || "AutoMl" || "Experiments" || "Training" || "ModelEvaluation" || "Pipelines" || "Models" || "JumpStart" || "InferenceRecommender" || "Endpoints" || "Projects",
+ * //         "DataWrangler" || "FeatureStore" || "EmrClusters" || "AutoMl" || "Experiments" || "Training" || "ModelEvaluation" || "Pipelines" || "Models" || "JumpStart" || "InferenceRecommender" || "Endpoints" || "Projects" || "InferenceOptimization",
  * //       ],
  * //       HiddenAppTypes: [ // HiddenAppTypesList
  * //         "JupyterServer" || "KernelGateway" || "DetailedProfiler" || "TensorBoard" || "CodeEditor" || "JupyterLab" || "RStudioServerPro" || "RSessionGateway" || "Canvas",

diff --git a/clients/client-sagemaker/src/commands/DescribeModelCardCommand.ts b/clients/client-sagemaker/src/commands/DescribeModelCardCommand.ts
@@ -5,11 +5,8 @@ import { Command as $Command } from "@smithy/smithy-client";
 import { MetadataBearer as __MetadataBearer } from "@smithy/types";
 
 import { commonParams } from "../endpoint/EndpointParameters";
-import {
-  DescribeModelCardRequest,
-  DescribeModelCardResponse,
-  DescribeModelCardResponseFilterSensitiveLog,
-} from "../models/models_2";
+import { DescribeModelCardRequest } from "../models/models_2";
+import { DescribeModelCardResponse, DescribeModelCardResponseFilterSensitiveLog } from "../models/models_3";
 import { de_DescribeModelCardCommand, se_DescribeModelCardCommand } from "../protocols/Aws_json1_1";
 import { SageMakerClientResolvedConfig, ServiceInputTypes, ServiceOutputTypes } from "../SageMakerClient";
 

diff --git a/clients/client-sagemaker/src/commands/DescribeModelCardExportJobCommand.ts b/clients/client-sagemaker/src/commands/DescribeModelCardExportJobCommand.ts
@@ -5,8 +5,7 @@ import { Command as $Command } from "@smithy/smithy-client";
 import { MetadataBearer as __MetadataBearer } from "@smithy/types";
 
 import { commonParams } from "../endpoint/EndpointParameters";
-import { DescribeModelCardExportJobRequest } from "../models/models_2";
-import { DescribeModelCardExportJobResponse } from "../models/models_3";
+import { DescribeModelCardExportJobRequest, DescribeModelCardExportJobResponse } from "../models/models_3";
 import { de_DescribeModelCardExportJobCommand, se_DescribeModelCardExportJobCommand } from "../protocols/Aws_json1_1";
 import { SageMakerClientResolvedConfig, ServiceInputTypes, ServiceOutputTypes } from "../SageMakerClient";
 

diff --git a/clients/client-sagemaker/src/commands/DescribeProcessingJobCommand.ts b/clients/client-sagemaker/src/commands/DescribeProcessingJobCommand.ts
@@ -87,7 +87,7 @@ export interface DescribeProcessingJobCommandOutput extends DescribeProcessingJo
  * //         OutputName: "STRING_VALUE", // required
  * //         S3Output: { // ProcessingS3Output
  * //           S3Uri: "STRING_VALUE", // required
- * //           LocalPath: "STRING_VALUE", // required
+ * //           LocalPath: "STRING_VALUE",
  * //           S3UploadMode: "Continuous" || "EndOfJob", // required
  * //         },
  * //         FeatureStoreOutput: { // ProcessingFeatureStoreOutput

diff --git a/clients/client-sagemaker/src/commands/DescribeUserProfileCommand.ts b/clients/client-sagemaker/src/commands/DescribeUserProfileCommand.ts
@@ -156,6 +156,10 @@ export interface DescribeUserProfileCommandOutput extends DescribeUserProfileRes
  * //       GenerativeAiSettings: { // GenerativeAiSettings
  * //         AmazonBedrockRoleArn: "STRING_VALUE",
  * //       },
+ * //       EmrServerlessSettings: { // EmrServerlessSettings
+ * //         ExecutionRoleArn: "STRING_VALUE",
+ * //         Status: "ENABLED" || "DISABLED",
+ * //       },
  * //     },
  * //     CodeEditorAppSettings: { // CodeEditorAppSettings
  * //       DefaultResourceSpec: {
@@ -224,7 +228,7 @@ export interface DescribeUserProfileCommandOutput extends DescribeUserProfileRes
  * //     ],
  * //     StudioWebPortalSettings: { // StudioWebPortalSettings
  * //       HiddenMlTools: [ // HiddenMlToolsList
- * //         "DataWrangler" || "FeatureStore" || "EmrClusters" || "AutoMl" || "Experiments" || "Training" || "ModelEvaluation" || "Pipelines" || "Models" || "JumpStart" || "InferenceRecommender" || "Endpoints" || "Projects",
+ * //         "DataWrangler" || "FeatureStore" || "EmrClusters" || "AutoMl" || "Experiments" || "Training" || "ModelEvaluation" || "Pipelines" || "Models" || "JumpStart" || "InferenceRecommender" || "Endpoints" || "Projects" || "InferenceOptimization",
  * //       ],
  * //       HiddenAppTypes: [ // HiddenAppTypesList
  * //         "JupyterServer" || "KernelGateway" || "DetailedProfiler" || "TensorBoard" || "CodeEditor" || "JupyterLab" || "RStudioServerPro" || "RSessionGateway" || "Canvas",

diff --git a/clients/client-sagemaker/src/commands/ListModelExplainabilityJobDefinitionsCommand.ts b/clients/client-sagemaker/src/commands/ListModelExplainabilityJobDefinitionsCommand.ts
@@ -8,7 +8,7 @@ import { commonParams } from "../endpoint/EndpointParameters";
 import {
   ListModelExplainabilityJobDefinitionsRequest,
   ListModelExplainabilityJobDefinitionsResponse,
-} from "../models/models_3";
+} from "../models/models_4";
 import {
   de_ListModelExplainabilityJobDefinitionsCommand,
   se_ListModelExplainabilityJobDefinitionsCommand,

diff --git a/clients/client-sagemaker/src/commands/SearchCommand.ts b/clients/client-sagemaker/src/commands/SearchCommand.ts
@@ -711,7 +711,7 @@ export interface SearchCommandOutput extends SearchResponse, __MetadataBearer {}
  * //                   OutputName: "STRING_VALUE", // required
  * //                   S3Output: { // ProcessingS3Output
  * //                     S3Uri: "STRING_VALUE", // required
- * //                     LocalPath: "STRING_VALUE", // required
+ * //                     LocalPath: "STRING_VALUE",
  * //                     S3UploadMode: "Continuous" || "EndOfJob", // required
  * //                   },
  * //                   FeatureStoreOutput: { // ProcessingFeatureStoreOutput

diff --git a/clients/client-sagemaker/src/commands/UpdateDomainCommand.ts b/clients/client-sagemaker/src/commands/UpdateDomainCommand.ts
@@ -141,6 +141,10 @@ export interface UpdateDomainCommandOutput extends UpdateDomainResponse, __Metad
  *       GenerativeAiSettings: { // GenerativeAiSettings
  *         AmazonBedrockRoleArn: "STRING_VALUE",
  *       },
+ *       EmrServerlessSettings: { // EmrServerlessSettings
+ *         ExecutionRoleArn: "STRING_VALUE",
+ *         Status: "ENABLED" || "DISABLED",
+ *       },
  *     },
  *     CodeEditorAppSettings: { // CodeEditorAppSettings
  *       DefaultResourceSpec: {
@@ -209,7 +213,7 @@ export interface UpdateDomainCommandOutput extends UpdateDomainResponse, __Metad
  *     ],
  *     StudioWebPortalSettings: { // StudioWebPortalSettings
  *       HiddenMlTools: [ // HiddenMlToolsList
- *         "DataWrangler" || "FeatureStore" || "EmrClusters" || "AutoMl" || "Experiments" || "Training" || "ModelEvaluation" || "Pipelines" || "Models" || "JumpStart" || "InferenceRecommender" || "Endpoints" || "Projects",
+ *         "DataWrangler" || "FeatureStore" || "EmrClusters" || "AutoMl" || "Experiments" || "Training" || "ModelEvaluation" || "Pipelines" || "Models" || "JumpStart" || "InferenceRecommender" || "Endpoints" || "Projects" || "InferenceOptimization",
  *       ],
  *       HiddenAppTypes: [ // HiddenAppTypesList
  *         "JupyterServer" || "KernelGateway" || "DetailedProfiler" || "TensorBoard" || "CodeEditor" || "JupyterLab" || "RStudioServerPro" || "RSessionGateway" || "Canvas",

diff --git a/clients/client-sagemaker/src/commands/UpdateUserProfileCommand.ts b/clients/client-sagemaker/src/commands/UpdateUserProfileCommand.ts
@@ -142,6 +142,10 @@ export interface UpdateUserProfileCommandOutput extends UpdateUserProfileRespons
  *       GenerativeAiSettings: { // GenerativeAiSettings
  *         AmazonBedrockRoleArn: "STRING_VALUE",
  *       },
+ *       EmrServerlessSettings: { // EmrServerlessSettings
+ *         ExecutionRoleArn: "STRING_VALUE",
+ *         Status: "ENABLED" || "DISABLED",
+ *       },
  *     },
  *     CodeEditorAppSettings: { // CodeEditorAppSettings
  *       DefaultResourceSpec: {
@@ -210,7 +214,7 @@ export interface UpdateUserProfileCommandOutput extends UpdateUserProfileRespons
  *     ],
  *     StudioWebPortalSettings: { // StudioWebPortalSettings
  *       HiddenMlTools: [ // HiddenMlToolsList
- *         "DataWrangler" || "FeatureStore" || "EmrClusters" || "AutoMl" || "Experiments" || "Training" || "ModelEvaluation" || "Pipelines" || "Models" || "JumpStart" || "InferenceRecommender" || "Endpoints" || "Projects",
+ *         "DataWrangler" || "FeatureStore" || "EmrClusters" || "AutoMl" || "Experiments" || "Training" || "ModelEvaluation" || "Pipelines" || "Models" || "JumpStart" || "InferenceRecommender" || "Endpoints" || "Projects" || "InferenceOptimization",
  *       ],
  *       HiddenAppTypes: [ // HiddenAppTypesList
  *         "JupyterServer" || "KernelGateway" || "DetailedProfiler" || "TensorBoard" || "CodeEditor" || "JupyterLab" || "RStudioServerPro" || "RSessionGateway" || "Canvas",