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awstools
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feat(client-sagemaker): Amazon SageMaker Studio now supports Docker access from within app container
1 parent 5e8a193 commit 16531e4

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10 files changed

+182
-69
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10 files changed

+182
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‎clients/client-sagemaker/src/commands/CreateDomainCommand.ts‎

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@@ -246,6 +246,12 @@ export interface CreateDomainCommandOutput extends CreateDomainResponse, __Metad
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* DefaultResourceSpec: "<ResourceSpec>",
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* },
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* ExecutionRoleIdentityConfig: "USER_PROFILE_NAME" || "DISABLED",
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* DockerSettings: { // DockerSettings
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* EnableDockerAccess: "ENABLED" || "DISABLED",
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* VpcOnlyTrustedAccounts: [ // VpcOnlyTrustedAccounts
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* "STRING_VALUE",
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* ],
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* },
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* },
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* SubnetIds: [ // Subnets // required
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* "STRING_VALUE",

‎clients/client-sagemaker/src/commands/DescribeDomainCommand.ts‎

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@@ -217,6 +217,12 @@ export interface DescribeDomainCommandOutput extends DescribeDomainResponse, __M
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* // DefaultResourceSpec: "<ResourceSpec>",
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* // },
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* // ExecutionRoleIdentityConfig: "USER_PROFILE_NAME" || "DISABLED",
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* // DockerSettings: { // DockerSettings
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* // EnableDockerAccess: "ENABLED" || "DISABLED",
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* // VpcOnlyTrustedAccounts: [ // VpcOnlyTrustedAccounts
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* // "STRING_VALUE",
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* // ],
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* // },
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* // },
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* // AppNetworkAccessType: "PublicInternetOnly" || "VpcOnly",
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* // HomeEfsFileSystemKmsKeyId: "STRING_VALUE",

‎clients/client-sagemaker/src/commands/DescribeTrainingJobCommand.ts‎

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@@ -5,8 +5,7 @@ import { Command as $Command } from "@smithy/smithy-client";
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import { MetadataBearer as __MetadataBearer } from "@smithy/types";
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import { commonParams } from "../endpoint/EndpointParameters";
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import { DescribeTrainingJobRequest } from "../models/models_2";
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import { DescribeTrainingJobResponse } from "../models/models_3";
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import { DescribeTrainingJobRequest, DescribeTrainingJobResponse } from "../models/models_3";
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import { de_DescribeTrainingJobCommand, se_DescribeTrainingJobCommand } from "../protocols/Aws_json1_1";
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import { SageMakerClientResolvedConfig, ServiceInputTypes, ServiceOutputTypes } from "../SageMakerClient";
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‎clients/client-sagemaker/src/commands/UpdateDomainCommand.ts‎

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@@ -201,6 +201,12 @@ export interface UpdateDomainCommandOutput extends UpdateDomainResponse, __Metad
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* SecurityGroupIds: [ // DomainSecurityGroupIds
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* "STRING_VALUE",
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* ],
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* DockerSettings: { // DockerSettings
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* EnableDockerAccess: "ENABLED" || "DISABLED",
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* VpcOnlyTrustedAccounts: [ // VpcOnlyTrustedAccounts
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* "STRING_VALUE",
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* ],
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* },
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* },
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* AppSecurityGroupManagement: "Service" || "Customer",
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* DefaultSpaceSettings: { // DefaultSpaceSettings

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

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@@ -38,6 +38,7 @@ import {
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ContextSource,
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ContinuousParameterRange,
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ConvergenceDetected,
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FeatureStatus,
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HyperParameterScalingType,
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HyperParameterTuningJobObjective,
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InferenceSpecification,
@@ -1275,6 +1276,24 @@ export interface UserSettings {
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CustomFileSystemConfigs?: CustomFileSystemConfig[];
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}
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/**
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* @public
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* <p>A collection of settings that configure the domain's Docker interaction.</p>
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*/
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export interface DockerSettings {
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/**
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* @public
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* <p>Indicates whether the domain can access Docker.</p>
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*/
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EnableDockerAccess?: FeatureStatus;
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/**
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* @public
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* <p>The list of Amazon Web Services accounts that are trusted when the domain is created in VPC-only mode.</p>
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*/
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VpcOnlyTrustedAccounts?: string[];
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}
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/**
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* @public
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* @enum
@@ -1349,6 +1368,12 @@ export interface DomainSettings {
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* <a href="https://docs.aws.amazon.com/IAM/latest/UserGuide/id_credentials_temp_control-access_monitor.html">sts:SourceIdentity key</a>.</p>
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*/
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ExecutionRoleIdentityConfig?: ExecutionRoleIdentityConfig;
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/**
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* @public
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* <p>A collection of settings that configure the domain's Docker interaction.</p>
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*/
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DockerSettings?: DockerSettings;
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}
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13541379
/**
@@ -11752,43 +11777,6 @@ export interface InfraCheckConfig {
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EnableInfraCheck?: boolean;
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}
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/**
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* @public
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* <p>Configuration information for Amazon SageMaker Debugger system monitoring, framework profiling, and
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* storage paths.</p>
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*/
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export interface ProfilerConfig {
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/**
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* @public
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* <p>Path to Amazon S3 storage location for system and framework metrics.</p>
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*/
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S3OutputPath?: string;
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/**
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* @public
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* <p>A time interval for capturing system metrics in milliseconds. Available values are
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* 100, 200, 500, 1000 (1 second), 5000 (5 seconds), and 60000 (1 minute) milliseconds. The default value is 500 milliseconds.</p>
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*/
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ProfilingIntervalInMilliseconds?: number;
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/**
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* @public
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* <p>Configuration information for capturing framework metrics. Available key strings for different profiling options are
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* <code>DetailedProfilingConfig</code>, <code>PythonProfilingConfig</code>, and <code>DataLoaderProfilingConfig</code>.
11778-
* The following codes are configuration structures for the <code>ProfilingParameters</code> parameter. To learn more about
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* how to configure the <code>ProfilingParameters</code> parameter,
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* see <a href="https://docs.aws.amazon.com/sagemaker/latest/dg/debugger-createtrainingjob-api.html">Use the SageMaker and Debugger Configuration API Operations to Create, Update, and Debug Your Training Job</a>.
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* </p>
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*/
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ProfilingParameters?: Record<string, string>;
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/**
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* @public
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* <p>Configuration to turn off Amazon SageMaker Debugger's system monitoring and profiling functionality. To turn it off, set to <code>True</code>.</p>
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*/
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DisableProfiler?: boolean;
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}
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/**
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* @internal
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*/

‎clients/client-sagemaker/src/models/models_2.ts‎

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@@ -159,7 +159,6 @@ import {
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ProductionVariantManagedInstanceScaling,
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ProductionVariantRoutingConfig,
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ProductionVariantServerlessConfig,
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ProfilerConfig,
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RecommendationJobInputConfig,
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RecommendationJobStoppingConditions,
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RecommendationJobType,
@@ -176,6 +175,43 @@ import {
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VendorGuidance,
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} from "./models_1";
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/**
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* @public
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* <p>Configuration information for Amazon SageMaker Debugger system monitoring, framework profiling, and
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* storage paths.</p>
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*/
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export interface ProfilerConfig {
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/**
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* @public
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* <p>Path to Amazon S3 storage location for system and framework metrics.</p>
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*/
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S3OutputPath?: string;
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/**
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* @public
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* <p>A time interval for capturing system metrics in milliseconds. Available values are
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* 100, 200, 500, 1000 (1 second), 5000 (5 seconds), and 60000 (1 minute) milliseconds. The default value is 500 milliseconds.</p>
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*/
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ProfilingIntervalInMilliseconds?: number;
196+
197+
/**
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* @public
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* <p>Configuration information for capturing framework metrics. Available key strings for different profiling options are
200+
* <code>DetailedProfilingConfig</code>, <code>PythonProfilingConfig</code>, and <code>DataLoaderProfilingConfig</code>.
201+
* The following codes are configuration structures for the <code>ProfilingParameters</code> parameter. To learn more about
202+
* how to configure the <code>ProfilingParameters</code> parameter,
203+
* see <a href="https://docs.aws.amazon.com/sagemaker/latest/dg/debugger-createtrainingjob-api.html">Use the SageMaker and Debugger Configuration API Operations to Create, Update, and Debug Your Training Job</a>.
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* </p>
205+
*/
206+
ProfilingParameters?: Record<string, string>;
207+
208+
/**
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* @public
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* <p>Configuration to turn off Amazon SageMaker Debugger's system monitoring and profiling functionality. To turn it off, set to <code>True</code>.</p>
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*/
212+
DisableProfiler?: boolean;
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}
214+
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/**
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* @public
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* <p>Configuration information for profiling rules.</p>
@@ -10013,17 +10049,6 @@ export interface DescribeSubscribedWorkteamResponse {
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SubscribedWorkteam: SubscribedWorkteam | undefined;
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}
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10016-
/**
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* @public
10018-
*/
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export interface DescribeTrainingJobRequest {
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/**
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* @public
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* <p>The name of the training job.</p>
10023-
*/
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TrainingJobName: string | undefined;
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}
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/**
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* @internal
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*/

‎clients/client-sagemaker/src/models/models_3.ts‎

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@@ -53,6 +53,7 @@ import {
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_InstanceType,
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DebugHookConfig,
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DebugRuleConfiguration,
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DockerSettings,
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EdgeOutputConfig,
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ExecutionRoleIdentityConfig,
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ExperimentConfig,
@@ -71,7 +72,6 @@ import {
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MonitoringType,
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OfflineStoreConfig,
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OnlineStoreConfig,
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ProfilerConfig,
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RecommendationJobType,
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ResourceLimits,
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RetryStrategy,
@@ -122,6 +122,7 @@ import {
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OfflineStoreStatusValue,
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PipelineExecutionStatus,
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ProductionVariantSummary,
125+
ProfilerConfig,
125126
ProfilerRuleConfiguration,
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RecommendationJobStatus,
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RecommendationMetrics,
@@ -137,6 +138,17 @@ import {
137138
TrialComponentStatus,
138139
} from "./models_2";
139140

141+
/**
142+
* @public
143+
*/
144+
export interface DescribeTrainingJobRequest {
145+
/**
146+
* @public
147+
* <p>The name of the training job.</p>
148+
*/
149+
TrainingJobName: string | undefined;
150+
}
151+
140152
/**
141153
* @public
142154
* <p>The name, value, and date and time of a metric that was emitted to Amazon CloudWatch.</p>
@@ -2353,6 +2365,12 @@ export interface DomainSettingsForUpdate {
23532365
* communication between Domain-level apps and user apps.</p>
23542366
*/
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SecurityGroupIds?: string[];
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2369+
/**
2370+
* @public
2371+
* <p>A collection of settings that configure the domain's Docker interaction.</p>
2372+
*/
2373+
DockerSettings?: DockerSettings;
23562374
}
23572375

23582376
/**
@@ -11104,15 +11122,3 @@ export interface TransformJobStepMetadata {
1110411122
*/
1110511123
Arn?: string;
1110611124
}
11107-
11108-
/**
11109-
* @public
11110-
* <p>Metadata for a tuning step.</p>
11111-
*/
11112-
export interface TuningJobStepMetaData {
11113-
/**
11114-
* @public
11115-
* <p>The Amazon Resource Name (ARN) of the tuning job that was run by this step execution.</p>
11116-
*/
11117-
Arn?: string;
11118-
}

‎clients/client-sagemaker/src/models/models_4.ts‎

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@@ -74,7 +74,6 @@ import {
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ProcessingResources,
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ProcessingStoppingCondition,
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Processor,
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ProfilerConfig,
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ProvisioningParameter,
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RetryStrategy,
8079
RootAccess,
@@ -113,6 +112,7 @@ import {
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PipelineExperimentConfig,
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PipelineStatus,
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ProcessingJobStatus,
115+
ProfilerConfig,
116116
ProfilerRuleConfiguration,
117117
ProjectStatus,
118118
ScheduleStatus,
@@ -165,14 +165,25 @@ import {
165165
TrialComponentMetricSummary,
166166
TrialComponentSource,
167167
TrialSource,
168-
TuningJobStepMetaData,
169168
UserProfileStatus,
170169
WarmPoolResourceStatus,
171170
WarmPoolStatus,
172171
Workforce,
173172
Workteam,
174173
} from "./models_3";
175174

175+
/**
176+
* @public
177+
* <p>Metadata for a tuning step.</p>
178+
*/
179+
export interface TuningJobStepMetaData {
180+
/**
181+
* @public
182+
* <p>The Amazon Resource Name (ARN) of the tuning job that was run by this step execution.</p>
183+
*/
184+
Arn?: string;
185+
}
186+
176187
/**
177188
* @public
178189
* <p>Metadata for a step execution.</p>

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