@aws-sdk/client-cleanroomsml

中文文档
3.1164.0发布于 2026/11/07Apache-2.0TypeScriptESM + CJS近 30 天下载 6735

AWS SDK for JavaScript Cleanroomsml Client for Node.js, Browser and React Native

原始使用文档
文档目录10 节
  1. Description
  2. Installing
  3. Getting Started
  4. Import
  5. Usage
  6. Troubleshooting
  7. Getting Help
  8. Contributing
  9. License
  10. Client Commands (Operations List)

@aws-sdk/client-cleanroomsml

Description

AWS SDK for JavaScript CleanRoomsML Client for Node.js, Browser and React Native.

Welcome to the Amazon Web Services Clean Rooms ML API Reference.

Amazon Web Services Clean Rooms ML provides a privacy-enhancing method for two parties to identify similar users in their data without the need to share their data with each other. The first party brings the training data to Clean Rooms so that they can create and configure an audience model (lookalike model) and associate it with a collaboration. The second party then brings their seed data to Clean Rooms and generates an audience (lookalike segment) that resembles the training data.

To learn more about Amazon Web Services Clean Rooms ML concepts, procedures, and best practices, see the Clean Rooms User Guide.

To learn more about SQL commands, functions, and conditions supported in Clean Rooms, see the Clean Rooms SQL Reference.

Installing

To install this package, use the CLI of your favorite package manager:

  • npm install @aws-sdk/client-cleanroomsml
  • yarn add @aws-sdk/client-cleanroomsml
  • pnpm add @aws-sdk/client-cleanroomsml

Getting Started

Import

The AWS SDK is modulized by clients and commands. To send a request, you only need to import the CleanRoomsMLClient and the commands you need, for example ListAudienceExportJobsCommand:

// ES5 example
const { CleanRoomsMLClient, ListAudienceExportJobsCommand } = require("@aws-sdk/client-cleanroomsml");
// ES6+ example
import { CleanRoomsMLClient, ListAudienceExportJobsCommand } from "@aws-sdk/client-cleanroomsml";

Usage

To send a request:

  • Instantiate a client with configuration (e.g. credentials, region).
  • Instantiate a command with input parameters.
  • Call the send operation on the client, providing the command object as input.
const client = new CleanRoomsMLClient({ region: "REGION" });

const params = { /** input parameters */ };
const command = new ListAudienceExportJobsCommand(params);

Async/await

We recommend using the await operator to wait for the promise returned by send operation as follows:

// async/await.
try {
  const data = await client.send(command);
  // process data.
} catch (error) {
  // error handling.
} finally {
  // finally.
}

Promises

You can also use Promise chaining.

client
  .send(command)
  .then((data) => {
    // process data.
  })
  .catch((error) => {
    // error handling.
  })
  .finally(() => {
    // finally.
  });

Aggregated client

The aggregated client class is exported from the same package, but without the "Client" suffix.

CleanRoomsML extends CleanRoomsMLClient and additionally supports all operations, waiters, and paginators as methods. This style may be familiar to you from the AWS SDK for JavaScript v2.

If you are bundling the AWS SDK, we recommend using only the bare-bones client (CleanRoomsMLClient). More details are in the blog post on modular packages in AWS SDK for JavaScript.

import { CleanRoomsML } from "@aws-sdk/client-cleanroomsml";

const client = new CleanRoomsML({ region: "REGION" });

// async/await.
try {
  const data = await client.listAudienceExportJobs(params);
  // process data.
} catch (error) {
  // error handling.
}

// Promises.
client
  .listAudienceExportJobs(params)
  .then((data) => {
    // process data.
  })
  .catch((error) => {
    // error handling.
  });

// callbacks (not recommended).
client.listAudienceExportJobs(params, (err, data) => {
  // process err and data.
});

Troubleshooting

When the service returns an exception, the error will include the exception information, as well as response metadata (e.g. request id).

try {
  const data = await client.send(command);
  // process data.
} catch (error) {
  const { requestId, cfId, extendedRequestId } = error.$metadata;
  console.log({ requestId, cfId, extendedRequestId });
  /**
   * The keys within exceptions are also parsed.
   * You can access them by specifying exception names:
   * if (error.name === 'SomeServiceException') {
   *     const value = error.specialKeyInException;
   * }
   */
}

See also docs/ERROR_HANDLING.

Getting Help

Please use these community resources for getting help. We use GitHub issues for tracking bugs and feature requests, but have limited bandwidth to address them.

To test your universal JavaScript code in Node.js, browser and react-native environments, visit our code samples repo.

Contributing

This client code is generated automatically. Any modifications will be overwritten the next time the @aws-sdk/client-cleanroomsml package is updated. To contribute to client you can check our generate clients scripts.

License

This SDK is distributed under the Apache License, Version 2.0, see LICENSE for more information.

Client Commands (Operations List)

CancelTrainedModel

Command API Reference / Input / Output

CancelTrainedModelInferenceJob

Command API Reference / Input / Output

CreateAudienceModel

Command API Reference / Input / Output

CreateConfiguredAudienceModel

Command API Reference / Input / Output

CreateConfiguredModelAlgorithm

Command API Reference / Input / Output

CreateConfiguredModelAlgorithmAssociation

Command API Reference / Input / Output

CreateMLInputChannel

Command API Reference / Input / Output

CreateTrainedModel

Command API Reference / Input / Output

CreateTrainingDataset

Command API Reference / Input / Output

DeleteAudienceGenerationJob

Command API Reference / Input / Output

DeleteAudienceModel

Command API Reference / Input / Output

DeleteConfiguredAudienceModel

Command API Reference / Input / Output

DeleteConfiguredAudienceModelPolicy

Command API Reference / Input / Output

DeleteConfiguredModelAlgorithm

Command API Reference / Input / Output

DeleteConfiguredModelAlgorithmAssociation

Command API Reference / Input / Output

DeleteMLConfiguration

Command API Reference / Input / Output

DeleteMLInputChannelData

Command API Reference / Input / Output

DeleteTrainedModelOutput

Command API Reference / Input / Output

DeleteTrainingDataset

Command API Reference / Input / Output

GetAudienceGenerationJob

Command API Reference / Input / Output

GetAudienceModel

Command API Reference / Input / Output

GetCollaborationConfiguredModelAlgorithmAssociation

Command API Reference / Input / Output

GetCollaborationMLInputChannel

Command API Reference / Input / Output

GetCollaborationTrainedModel

Command API Reference / Input / Output

GetConfiguredAudienceModel

Command API Reference / Input / Output

GetConfiguredAudienceModelPolicy

Command API Reference / Input / Output

GetConfiguredModelAlgorithm

Command API Reference / Input / Output

GetConfiguredModelAlgorithmAssociation

Command API Reference / Input / Output

GetMLConfiguration

Command API Reference / Input / Output

GetMLInputChannel

Command API Reference / Input / Output

GetTrainedModel

Command API Reference / Input / Output

GetTrainedModelInferenceJob

Command API Reference / Input / Output

GetTrainingDataset

Command API Reference / Input / Output

ListAudienceExportJobs

Command API Reference / Input / Output

ListAudienceGenerationJobs

Command API Reference / Input / Output

ListAudienceModels

Command API Reference / Input / Output

ListCollaborationConfiguredModelAlgorithmAssociations

Command API Reference / Input / Output

ListCollaborationMLInputChannels

Command API Reference / Input / Output

ListCollaborationTrainedModelExportJobs

Command API Reference / Input / Output

ListCollaborationTrainedModelInferenceJobs

Command API Reference / Input / Output

ListCollaborationTrainedModels

Command API Reference / Input / Output

ListConfiguredAudienceModels

Command API Reference / Input / Output

ListConfiguredModelAlgorithmAssociations

Command API Reference / Input / Output

ListConfiguredModelAlgorithms

Command API Reference / Input / Output

ListMLInputChannels

Command API Reference / Input / Output

ListTagsForResource

Command API Reference / Input / Output

ListTrainedModelInferenceJobs

Command API Reference / Input / Output

ListTrainedModels

Command API Reference / Input / Output

ListTrainedModelVersions

Command API Reference / Input / Output

ListTrainingDatasets

Command API Reference / Input / Output

PutConfiguredAudienceModelPolicy

Command API Reference / Input / Output

PutMLConfiguration

Command API Reference / Input / Output

StartAudienceExportJob

Command API Reference / Input / Output

StartAudienceGenerationJob

Command API Reference / Input / Output

StartTrainedModelExportJob

Command API Reference / Input / Output

StartTrainedModelInferenceJob

Command API Reference / Input / Output

TagResource

Command API Reference / Input / Output

UntagResource

Command API Reference / Input / Output

UpdateConfiguredAudienceModel

Command API Reference / Input / Output

版本与发布记录

@aws-sdk/client-cleanroomsml 共发布 423 个版本,首次发布于 2023/11/30;过去 12 个月发布了 222 个版本。

版本发布日期距今
3.1164.0latest2026/11/071 天前
3.1163.02026/11/062 天前
3.1162.02026/11/052 天前
3.1161.02026/10/318 天前
3.1160.02026/10/309 天前
3.1159.02026/10/2910 天前

关于 @aws-sdk/client-cleanroomsml 的常见问题

@aws-sdk/client-cleanroomsml 是什么?

AWS SDK for JavaScript Cleanroomsml Client for Node.js, Browser and React Native

如何安装 @aws-sdk/client-cleanroomsml?

在项目目录运行 npm install @aws-sdk/client-cleanroomsml,或使用 pnpm add / yarn add / bun add。

@aws-sdk/client-cleanroomsml 支持 TypeScript 吗?

支持。包内自带 TypeScript 类型声明(package.json 声明了 types 入口),安装后即可获得类型提示,无需再安装 @types 包。

@aws-sdk/client-cleanroomsml 支持 ESM 还是 CommonJS?

同时提供 ES Module 与 CommonJS 入口,import 和 require() 都可以使用,打包工具会自动选择合适的版本。

@aws-sdk/client-cleanroomsml 需要什么版本的 Node.js?

package.json 的 engines 字段要求 Node.js >=20.0.0。版本不符时 npm 默认只给出警告,开启 engine-strict 后会拒绝安装。

@aws-sdk/client-cleanroomsml 可以商用吗?

@aws-sdk/client-cleanroomsml 使用 Apache-2.0 许可。宽松许可:允许商业使用、修改和再分发,并附带明确的专利授权;分发时需保留许可与 NOTICE 文件,修改过的文件要注明改动。以上为概括,不构成法律意见,请以许可原文为准。

@aws-sdk/client-cleanroomsml 的下载量有多少?

根据 npm 官方下载统计,@aws-sdk/client-cleanroomsml 在 2026/10/08 – 2026/11/06 这 30 天内被下载 6,735 次,日均约 225 次。下载量会把 CI 构建、镜像同步和作为其他包依赖的安装一并计入,适合横向比较热度,不能直接等同于使用人数。

@aws-sdk/client-cleanroomsml 还在维护吗?

最新版本 3.1164.0 发布于 2026/11/07(1 天前);至今共发布 423 个版本,其中过去 12 个月发布了 222 个;首次发布于 2023/11/30。发布频率只是参考信号:功能稳定的工具可能很少需要更新,建议结合源码仓库的 issue 和提交记录判断。