feat(client-sagemaker): SageMaker Autopilot adds new metrics for all …

…candidate models generated by Autopilot experiments; RStudio on SageMaker now allows users to bring your own development environment in a custom image.

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

@@ -11,8 +11,7 @@ import {
   SerdeContext as __SerdeContext,
 } from "@aws-sdk/types";
 
-import { CreateImageVersionRequest } from "../models/models_0";
-import { CreateImageVersionResponse } from "../models/models_1";
+import { CreateImageVersionRequest, CreateImageVersionResponse } from "../models/models_1";
 import {
   deserializeAws_json1_1CreateImageVersionCommand,
   serializeAws_json1_1CreateImageVersionCommand,

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

@@ -11,7 +11,8 @@ import {
   SerdeContext as __SerdeContext,
 } from "@aws-sdk/types";
 
-import { ListTagsInput, ListTagsOutput } from "../models/models_2";
+import { ListTagsInput } from "../models/models_2";
+import { ListTagsOutput } from "../models/models_3";
 import { deserializeAws_json1_1ListTagsCommand, serializeAws_json1_1ListTagsCommand } from "../protocols/Aws_json1_1";
 import { SageMakerClientResolvedConfig, ServiceInputTypes, ServiceOutputTypes } from "../SageMakerClient";
 

clients/client-sagemaker/src/models/models_0.ts

@@ -4217,6 +4217,23 @@ export enum MetricSetSource {
   VALIDATION = "Validation",
 }
 
+export enum AutoMLMetricExtendedEnum {
+  ACCURACY = "Accuracy",
+  AUC = "AUC",
+  BALANCED_ACCURACY = "BalancedAccuracy",
+  F1 = "F1",
+  F1_MACRO = "F1macro",
+  LogLoss = "LogLoss",
+  MAE = "MAE",
+  MSE = "MSE",
+  PRECISION = "Precision",
+  PRECISION_MACRO = "PrecisionMacro",
+  R2 = "R2",
+  RECALL = "Recall",
+  RECALL_MACRO = "RecallMacro",
+  RMSE = "RMSE",
+}
+
 /**
  * <p>Information about the metric for a candidate produced by an AutoML job.</p>
  */
@@ -4235,6 +4252,11 @@ export interface MetricDatum {
    * <p>The dataset split from which the AutoML job produced the metric.</p>
    */
   Set?: MetricSetSource | string;
+
+  /**
+   * <p>The name of the standard metric.</p>
+   */
+  StandardMetricName?: AutoMLMetricExtendedEnum | string;
 }
 
 export namespace MetricDatum {
@@ -8990,7 +9012,18 @@ export namespace KernelGatewayAppSettings {
 /**
  * <p>A collection of settings that apply to an <code>RSessionGateway</code> app.</p>
  */
-export interface RSessionAppSettings {}
+export interface RSessionAppSettings {
+  /**
+   * <p>Specifies the ARN's of a SageMaker image and SageMaker image version, and the instance type that
+   *      the version runs on.</p>
+   */
+  DefaultResourceSpec?: ResourceSpec;
+
+  /**
+   * <p>A list of custom SageMaker images that are configured to run as a RSession app.</p>
+   */
+  CustomImages?: CustomImage[];
+}
 
 export namespace RSessionAppSettings {
   /**
@@ -11909,34 +11942,3 @@ export namespace CreateImageResponse {
     ...obj,
   });
 }
-
-export interface CreateImageVersionRequest {
-  /**
-   * <p>The registry path of the container image to use as the starting point for this
-   *         version. The path is an Amazon Elastic Container Registry (ECR) URI in the following format:</p>
-   *          <p>
-   *             <code><acct-id>.dkr.ecr.<region>.amazonaws.com/<repo-name[:tag] or [@digest]></code>
-   *          </p>
-   */
-  BaseImage: string | undefined;
-
-  /**
-   * <p>A unique ID. If not specified, the Amazon Web Services CLI and Amazon Web Services SDKs, such as the SDK for Python
-   *         (Boto3), add a unique value to the call.</p>
-   */
-  ClientToken?: string;
-
-  /**
-   * <p>The <code>ImageName</code> of the <code>Image</code> to create a version of.</p>
-   */
-  ImageName: string | undefined;
-}
-
-export namespace CreateImageVersionRequest {
-  /**
-   * @internal
-   */
-  export const filterSensitiveLog = (obj: CreateImageVersionRequest): any => ({
-    ...obj,
-  });
-}

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

@@ -104,6 +104,37 @@ import {
   VpcConfig,
 } from "./models_0";
 
+export interface CreateImageVersionRequest {
+  /**
+   * <p>The registry path of the container image to use as the starting point for this
+   *         version. The path is an Amazon Elastic Container Registry (ECR) URI in the following format:</p>
+   *          <p>
+   *             <code><acct-id>.dkr.ecr.<region>.amazonaws.com/<repo-name[:tag] or [@digest]></code>
+   *          </p>
+   */
+  BaseImage: string | undefined;
+
+  /**
+   * <p>A unique ID. If not specified, the Amazon Web Services CLI and Amazon Web Services SDKs, such as the SDK for Python
+   *         (Boto3), add a unique value to the call.</p>
+   */
+  ClientToken?: string;
+
+  /**
+   * <p>The <code>ImageName</code> of the <code>Image</code> to create a version of.</p>
+   */
+  ImageName: string | undefined;
+}
+
+export namespace CreateImageVersionRequest {
+  /**
+   * @internal
+   */
+  export const filterSensitiveLog = (obj: CreateImageVersionRequest): any => ({
+    ...obj,
+  });
+}
+
 export interface CreateImageVersionResponse {
   /**
    * <p>The Amazon Resource Name (ARN) of the image version.</p>
@@ -11330,12 +11361,3 @@ export namespace LabelingJobOutput {
     ...obj,
   });
 }
-
-export enum LabelingJobStatus {
-  COMPLETED = "Completed",
-  FAILED = "Failed",
-  INITIALIZING = "Initializing",
-  IN_PROGRESS = "InProgress",
-  STOPPED = "Stopped",
-  STOPPING = "Stopping",
-}

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

@@ -89,7 +89,6 @@ import {
   LabelingJobInputConfig,
   LabelingJobOutput,
   LabelingJobOutputConfig,
-  LabelingJobStatus,
   LabelingJobStoppingConditions,
   MemberDefinition,
   ModelArtifacts,
@@ -138,6 +137,15 @@ import {
   TrialComponentStatus,
 } from "./models_1";
 
+export enum LabelingJobStatus {
+  COMPLETED = "Completed",
+  FAILED = "Failed",
+  INITIALIZING = "Initializing",
+  IN_PROGRESS = "InProgress",
+  STOPPED = "Stopped",
+  STOPPING = "Stopping",
+}
+
 export interface DescribeLabelingJobResponse {
   /**
    * <p>The processing status of the labeling job. </p>
@@ -10916,25 +10924,3 @@ export namespace ListTagsInput {
     ...obj,
   });
 }
-
-export interface ListTagsOutput {
-  /**
-   * <p>An array of <code>Tag</code> objects, each with a tag key and a value.</p>
-   */
-  Tags?: Tag[];
-
-  /**
-   * <p> If response is truncated, SageMaker includes a token in the response. You can use this
-   *             token in your subsequent request to fetch next set of tokens. </p>
-   */
-  NextToken?: string;
-}
-
-export namespace ListTagsOutput {
-  /**
-   * @internal
-   */
-  export const filterSensitiveLog = (obj: ListTagsOutput): any => ({
-    ...obj,
-  });
-}

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

@@ -102,6 +102,28 @@ import {
   Workteam,
 } from "./models_2";
 
+export interface ListTagsOutput {
+  /**
+   * <p>An array of <code>Tag</code> objects, each with a tag key and a value.</p>
+   */
+  Tags?: Tag[];
+
+  /**
+   * <p> If response is truncated, SageMaker includes a token in the response. You can use this
+   *             token in your subsequent request to fetch next set of tokens. </p>
+   */
+  NextToken?: string;
+}
+
+export namespace ListTagsOutput {
+  /**
+   * @internal
+   */
+  export const filterSensitiveLog = (obj: ListTagsOutput): any => ({
+    ...obj,
+  });
+}
+
 export interface ListTrainingJobsRequest {
   /**
    * <p>If the result of the previous <code>ListTrainingJobs</code> request was truncated,

clients/client-sagemaker/src/protocols/Aws_json1_1.ts

@@ -769,7 +769,6 @@ import {
   CreateHyperParameterTuningJobResponse,
   CreateImageRequest,
   CreateImageResponse,
-  CreateImageVersionRequest,
   CustomImage,
   DataCaptureConfig,
   DataCatalogConfig,
@@ -877,6 +876,7 @@ import {
   VpcConfig,
 } from "../models/models_0";
 import {
+  CreateImageVersionRequest,
   CreateImageVersionResponse,
   CreateInferenceRecommendationsJobRequest,
   CreateInferenceRecommendationsJobResponse,
@@ -1341,7 +1341,6 @@ import {
   ListSubscribedWorkteamsRequest,
   ListSubscribedWorkteamsResponse,
   ListTagsInput,
-  ListTagsOutput,
   MetricData,
   ModelMetadataFilter,
   ModelMetadataSearchExpression,
@@ -1389,6 +1388,7 @@ import {
   Workteam,
 } from "../models/models_2";
 import {
+  ListTagsOutput,
   ListTrainingJobsForHyperParameterTuningJobRequest,
   ListTrainingJobsForHyperParameterTuningJobResponse,
   ListTrainingJobsRequest,
@@ -22365,7 +22365,14 @@ const serializeAws_json1_1RetryStrategy = (input: RetryStrategy, context: __Serd
 };
 
 const serializeAws_json1_1RSessionAppSettings = (input: RSessionAppSettings, context: __SerdeContext): any => {
-  return {};
+  return {
+    ...(input.CustomImages !== undefined &&
+      input.CustomImages !== null && { CustomImages: serializeAws_json1_1CustomImages(input.CustomImages, context) }),
+    ...(input.DefaultResourceSpec !== undefined &&
+      input.DefaultResourceSpec !== null && {
+        DefaultResourceSpec: serializeAws_json1_1ResourceSpec(input.DefaultResourceSpec, context),
+      }),
+  };
 };
 
 const serializeAws_json1_1RStudioServerProAppSettings = (
@@ -30445,6 +30452,7 @@ const deserializeAws_json1_1MetricDatum = (output: any, context: __SerdeContext)
   return {
     MetricName: __expectString(output.MetricName),
     Set: __expectString(output.Set),
+    StandardMetricName: __expectString(output.StandardMetricName),
     Value: __limitedParseFloat32(output.Value),
   } as any;
 };
@@ -33070,7 +33078,16 @@ const deserializeAws_json1_1RetryStrategy = (output: any, context: __SerdeContex
 };
 
 const deserializeAws_json1_1RSessionAppSettings = (output: any, context: __SerdeContext): RSessionAppSettings => {
-  return {} as any;
+  return {
+    CustomImages:
+      output.CustomImages !== undefined && output.CustomImages !== null
+        ? deserializeAws_json1_1CustomImages(output.CustomImages, context)
+        : undefined,
+    DefaultResourceSpec:
+      output.DefaultResourceSpec !== undefined && output.DefaultResourceSpec !== null
+        ? deserializeAws_json1_1ResourceSpec(output.DefaultResourceSpec, context)
+        : undefined,
+  } as any;
 };
 
 const deserializeAws_json1_1RStudioServerProAppSettings = (