Table Of Content

亚马逊 SageMaker 开发人员指南 亚马逊 SageMaker 开发人员指南 亚马逊 SageMaker: 开发人员指南 Copyright © 2023 Amazon Web Services, Inc. and/or its affiliates. All rights reserved. Amazon 的商标和商业外观不得用于任何非 Amazon 的商品或服务，也不得以任何可能引起客户混淆、贬低或诋毁 Amazon 的方式使用。所有非 Amazon 拥有的其它商标均为各自所有者的财产，这些所有者可能附属于 Amazon、与 Amazon 有关联或由 Amazon 赞助，也可能不是如此。 亚马逊 SageMaker 开发人员指南 Table of Contents 什么是亚马逊 SageMaker？................................................................................................................. 1 亚马逊 SageMaker 定价.............................................................................................................. 1 您是亚马逊的首次用户 SageMaker吗？.......................................................................................... 1 工作方式 ............................................................................................................................ 2 SageMaker 特征......................................................................................................................... 2 新功能............................................................................................................................... 2 机器学习环境..................................................................................................................... 3 主要功能 ............................................................................................................................ 3 Amazon Machine SageMaker....................................................................................................... 5 探索、分析和处理数据................................................................................................................. 6 公平性和模型可解释性................................................................................................................. 7 在机器学习生命周期中评估公平性和可解性的最佳实践.............................................................. 7 示例笔记本........................................................................................................................ 8 SageMaker 澄清文档指南..................................................................................................... 8 模型训练 .................................................................................................................................... 9 模型部署 .................................................................................................................................. 10 验证模型 .................................................................................................................................. 11 模型监控 .................................................................................................................................. 12 机器学习框架和工具包............................................................................................................... 12 Apache MXNet................................................................................................................. 12 Apache Spark.................................................................................................................. 13 Chainer........................................................................................................................... 21 拥抱面部联接.................................................................................................................... 22 PyTorch........................................................................................................................... 24 R.................................................................................................................................... 24 Scikit-learn....................................................................................................................... 26 SparkML Serving.............................................................................................................. 27 TensorFlow...................................................................................................................... 28 Triton Inference................................................................................................................ 28 支持的区域和配额...................................................................................................................... 29 配额 ................................................................................................................................ 29 入门 ................................................................................................................................................ 31 设置亚马逊 SageMaker 先决条件................................................................................................. 31 创建 AWS 账户................................................................................................................ 31 创建 IAM 管理员用户和组................................................................................................... 32 AWS CLI 先决条件............................................................................................................ 33 载入 Damine............................................................................................................................ 33 使用快速设置进行登录....................................................................................................... 34 使用 IAM Identity C........................................................................................................... 34 使用 IAM 进行注册............................................................................................................ 38 选择 VPC。..................................................................................................................... 41 SageMaker JumpStart............................................................................................................... 42 打开并使用 JumpStart........................................................................................................ 42 解决方案模板.................................................................................................................... 45 模型 ................................................................................................................................ 51 共享模型和笔记本电脑....................................................................................................... 63 SageMaker JumpStart 行业：金融....................................................................................... 66 开始使用笔记本实例 .................................................................................................................. 69 使用 SageMaker Python 开发工具包进行Machine Learning...................................................... 70 教程概览 .......................................................................................................................... 70 步骤 1：创建 Amazon SageMaker 笔记本实例 ...................................................................... 70 步骤 2：创建 Jupyter 笔记本.............................................................................................. 72 步骤 3：下载、浏览和转换数据........................................................................................... 72 步骤 4：训练模型.............................................................................................................. 76 iii 亚马逊 SageMaker 开发人员指南 步骤 5：部署模型.............................................................................................................. 80 步骤 6：评估模型.............................................................................................................. 82 步骤 7：清除.................................................................................................................... 85 Machine Learning Le......................................................................................................................... 87 SageMaker 域.......................................................................................................................... 87 先决条件 .......................................................................................................................... 90 多域概述 .......................................................................................................................... 90 域资源隔离....................................................................................................................... 91 为域设置默认值................................................................................................................. 93 环境 ................................................................................................................................ 94 查看和编辑域名................................................................................................................. 95 删除域............................................................................................................................. 96 域用户配置文件................................................................................................................. 99 域中的 IM Idtittittittitt........................................................................................................ 102 与共享空间协作............................................................................................................... 103 SageMaker 工作室.................................................................................................................. 107 Studio............................................................................................................................ 108 UI 概述.......................................................................................................................... 108 启动亚马逊 SageMaker 工作室.......................................................................................... 112 JupyterLab 版本控制........................................................................................................ 114 使用工作室启动器 ............................................................................................................ 120 使用 Studio 笔记本.......................................................................................................... 122 自定义Studi.................................................................................................................... 145 执行常见任务.................................................................................................................. 167 Studio 定价.................................................................................................................... 173 问题排查 ........................................................................................................................ 173 SageMaker 工作室实验室......................................................................................................... 174 工作室实验室组件概述...................................................................................................... 175 加入工作室实验室 ............................................................................................................ 177 管理您的账户.................................................................................................................. 178 启动工作室实验室 ............................................................................................................ 179 使用 Studio 实验室初学者资源........................................................................................... 180 使用 Studio Lab 项目运行时间........................................................................................... 182 问题排查 ........................................................................................................................ 195 SageMaker 帆布..................................................................................................................... 196 您是首次使用 SageMaker Canvas 的用户吗？..................................................................... 197 开始使用 ........................................................................................................................ 197 设置和管理 Amazon SageMaker Canvas（适用于 IT 管理员）............................................... 209 在亚马逊 SageMaker 画布中导入数据................................................................................ 229 建立模型 ........................................................................................................................ 237 在亚马逊 SageMaker Canvas 中评估您的模型的性能............................................................ 258 对您的数据进行预测 ......................................................................................................... 263 注销 .............................................................................................................................. 263 亚马逊 SageMaker 画布中的时间序列预测........................................................................... 264 在亚马逊 SageMaker 画布中更新模型................................................................................. 268 与数据科学家合作 ............................................................................................................ 269 将自己的模型带到 SageMaker Canvas................................................................................ 275 管理账单和成本............................................................................................................... 282 SageMaker 地理空间能力......................................................................................................... 283 入门 .............................................................................................................................. 284 地球观测职位.................................................................................................................. 286 矢量增益工作.................................................................................................................. 291 使用 SageMaker 地理空间功能进行可视化........................................................................... 292 亚马逊 SageMaker 地理空间地图 SDK............................................................................... 297 亚马逊上的 rStudio SageMaker................................................................................................. 302 rStud 组件...................................................................................................................... 303 与 rStudio 工作台的区别................................................................................................... 303 iv 亚马逊 SageMaker 开发人员指南 在 RStudio 上管理 SageMaker.......................................................................................... 303 在亚马逊上使用 rStudio SageMaker................................................................................... 330 笔记本实例..................................................................................................................................... 334 AL2 与 AL1 实例..................................................................................................................... 334 AL1 维护阶段计划........................................................................................................... 334 支持的实例..................................................................................................................... 335 可用内核 ........................................................................................................................ 335 迁移到 Amazon Linx 2..................................................................................................... 337 JupyterLab 版本控制................................................................................................................ 337 JupyterLab 3.................................................................................................................. 337 使用您的 JupyterLab 版本创建笔记本................................................................................. 338 从控制台查看笔记本的 JupyterLab 版本.............................................................................. 338 创建笔记本实例 ....................................................................................................................... 338 访问笔记本实例 ....................................................................................................................... 340 更新笔记本实例 ....................................................................................................................... 341 自定义笔记本实例.................................................................................................................... 342 生命周期配置最佳实践...................................................................................................... 342 在笔记本实例中安装外部库和内核...................................................................................... 343 笔记本实例软件更新 ......................................................................................................... 346 使用笔记本控制亚马逊 EMR Spark 实例............................................................................. 346 示例笔记本............................................................................................................................. 348 在 Jupyter 经典视图中使用或查看示例笔记本....................................................................... 348 在 Jupyterlab 视图中使用或查看示例笔记本......................................................................... 349 设置笔记本内核 ....................................................................................................................... 350 Git Repos.............................................................................................................................. 350 将 Git 存储库添加到您的亚马逊 SageMaker 账户.................................................................. 351 创建具有关联 Git 存储库的笔记本实例................................................................................ 353 将不同AWS账户中的 CodeCommit 存储库与 Notebook 实例相关联......................................... 354 在笔记本实例中使用 Git 存储库......................................................................................... 355 笔记本实例元数据.................................................................................................................... 357 监控亚马逊日志中的 Jupyter CloudWatch 日志............................................................................. 357 自动驾驶：自动机器学习................................................................................................................... 359 开始使用 ................................................................................................................................ 360 示例 .............................................................................................................................. 360 视频 .............................................................................................................................. 360 教程 .............................................................................................................................. 361 创建 Autopilot 实验.................................................................................................................. 361 数据集和问题类型.................................................................................................................... 363 数据集........................................................................................................................... 363 训练和验证数据集 ............................................................................................................ 364 选择功能 ........................................................................................................................ 364 问题类型 ........................................................................................................................ 364 训练模式和算法支持 ................................................................................................................. 365 训练模式 ........................................................................................................................ 365 算法支持 ........................................................................................................................ 366 指标和验证............................................................................................................................. 366 自动驾驶指标.................................................................................................................. 366 自动驾驶中的交叉验证...................................................................................................... 368 模型部署和预测 ....................................................................................................................... 370 实时推理 ........................................................................................................................ 370 Batch 推理..................................................................................................................... 377 可解释性 ................................................................................................................................ 383 生成的模型............................................................................................................................. 383 分享你的自动驾驶模型...................................................................................................... 383 查看模型详细信息 ............................................................................................................ 383 生成的笔记本.......................................................................................................................... 384 数据探索报告.................................................................................................................. 385 v 亚马逊 SageMaker 开发人员指南 候选人定义笔记本 ............................................................................................................ 391 模型洞察 ........................................................................................................................ 391 配置推理输出.......................................................................................................................... 396 回归和分类问题类型的推理容器定义................................................................................... 397 配额 ...................................................................................................................................... 401 您可以增加的配额 ............................................................................................................ 401 资源配额 ........................................................................................................................ 402 API 参考................................................................................................................................ 402 SageMaker API 参考文档................................................................................................. 403 亚马逊 SageMaker Python................................................................................................ 404 AWS 命令行界面（CLI）.................................................................................................. 404 AWSPython (Boto).......................................................................................................... 404 适用于 .NET 的AWS开发工具包......................................................................................... 404 适用于 C++ 的 AWS SDK................................................................................................ 405 适用于 Go 的 AWS SDK.................................................................................................. 405 AWS SDK for Java......................................................................................................... 405 AWS适用于 JavaScript..................................................................................................... 405 AWSSDK for PHP V3 V3................................................................................................. 405 AWSSDK for Ruby V3..................................................................................................... 406 标记数据........................................................................................................................................ 407 Ground Truth.......................................................................................................................... 407 你是第一次使用 Ground Truth 吗？.................................................................................... 408 开始使用 ........................................................................................................................ 408 标签图片 ........................................................................................................................ 412 标签数.......................................................................................................................... 431 为视频和视频帧添加标签................................................................................................... 440 标记 3D 点云.................................................................................................................. 469 验证和调整标签............................................................................................................... 527 创建自定义标记工作流...................................................................................................... 534 创建标记作业.................................................................................................................. 563 使用输入和输出数据 ......................................................................................................... 590 增强的数据标记............................................................................................................... 649 安全和权限..................................................................................................................... 659 监控标记作业状态 ............................................................................................................ 683 SageMaker Truth.................................................................................................................... 686 Amazon Gro SageMaker und Truth。................................................................................. 686 申请项目 ........................................................................................................................ 687 创建项目组..................................................................................................................... 688 打开项目门户.................................................................................................................. 690 创建Batch...................................................................................................................... 691 查看指标 ........................................................................................................................ 692 查看批次 ........................................................................................................................ 692 接受或拒绝批处理 ............................................................................................................ 696 Ground Truth th...................................................................................................................... 696 Amazon Gro SageMaker und Truth 合成数据入门................................................................ 697 共享来自您的 Amazon S3 存储桶的数据............................................................................. 698 项目门户 ........................................................................................................................ 699 批处理........................................................................................................................... 700 接受或拒绝批次............................................................................................................... 702 创建和管理人力 ....................................................................................................................... 702 使用情况操作 TeAmazon Mechanical Turk 人力................................................................... 702 管理供应商人力............................................................................................................... 705 使用私有人力.................................................................................................................. 706 Crowd HTML 元素参考............................................................................................................. 725 SageMaker Ground HTML................................................................................................ 725 Augmented AI 人群 HTML 元素......................................................................................... 795 准备和分析数据集............................................................................................................................ 802 vi 亚马逊 SageMaker 开发人员指南 检测预训练数据偏差 ................................................................................................................. 802 亚马逊 SageMaker 阐明偏见和公平的条款........................................................................... 802 示例笔记本..................................................................................................................... 803 度量训练前偏差............................................................................................................... 804 在 SageMaker Studio 中生成预训练数据偏差报告................................................................. 811 使用 Data Wrangler 准备数据.................................................................................................... 812 开始使用 Data Wrangler................................................................................................... 813 导入 .............................................................................................................................. 821 创建和使用 Data Wrangler 流程......................................................................................... 863 获取有关数据和数据质量的见解 ......................................................................................... 873 在数据流中自动训练模型................................................................................................... 886 转换数据 ........................................................................................................................ 887 分析和可视化.................................................................................................................. 922 为不同的数据集重复使用数据流 ......................................................................................... 930 Export............................................................................................................................ 936 在 Studio 笔记本中使用数据准备来获取数据见解.................................................................. 956 安全和权限..................................................................................................................... 960 发行说明 ........................................................................................................................ 969 问题排查 ........................................................................................................................ 972 提高Amazon EC2 实例限制.............................................................................................. 976 更新数据 Wrangler.......................................................................................................... 815 关闭数据 Wrangler.......................................................................................................... 978 使用 Studio 笔记本大规模准备数据............................................................................................. 979 使用亚马逊 EMR 准备数据................................................................................................ 980 使用 Glue 交互式会话准备数据........................................................................................ 1012 处理数据...................................................................................................................................... 1016 示例笔记本........................................................................................................................... 1016 CloudWatch 日志和指标......................................................................................................... 1016 使用 Apache Spark 进行数据处理............................................................................................ 1017 运行 Spark 处理Job....................................................................................................... 1017 使用 scikit-learn 进行数据处理................................................................................................. 1017 使用框架处理器进行数据处理 ................................................................................................... 1018 Hugging Face 框架处理器............................................................................................... 1018 MXNet 框架处理器......................................................................................................... 1019 PyTorch 框架处理器....................................................................................................... 1020 TensorFlow 框架处理器.................................................................................................. 1021 XGBoost 框架处理器...................................................................................................... 1022 使用您自己的处理代码............................................................................................................ 1023 使用处理容器运行脚本.................................................................................................... 1023 构建您自己的处理容器.................................................................................................... 1024 创建、存储和共享功能.................................................................................................................... 1029 Feature................................................................................................................................ 1029 创建功能组........................................................................................................................... 1030 查找、发现和共享功能............................................................................................................ 1030 实时推断存储在在线商店中的功能  ............................................................................................ 1030 用于模型训练和Batch 推理的离线商店....................................................................................... 1030 功能数据摄取........................................................................................................................ 1031 Amazon Forage For SageMaker age 入.................................................................................... 1031 Feature 概念................................................................................................................. 1031 创建功能组................................................................................................................... 1032 向您的 IAM 角色添加必需的策略..................................................................................... 1042 在 Studio 中使用功能商店............................................................................................... 1047 数据源和摄取........................................................................................................................ 1049 直播提取 ...................................................................................................................... 1049 带功能存储的 Data Wrangler........................................................................................... 1049 Batch 摄取 Spark 连接器设置.......................................................................................... 1051 向功能组添加功能.................................................................................................................. 1057 vii 亚马逊 SageMaker 开发人员指南 示例代码 ...................................................................................................................... 1057 在您的功能组中查找功能......................................................................................................... 1059 在您的功能商店中查找功能组 ................................................................................................... 1062 向您的功能添加可搜索的元数据 ................................................................................................ 1066 示例代码 ...................................................................................................................... 1068 从您的要素组创建数据集......................................................................................................... 1070 使用亚马逊 SageMaker Python SDK 从您的功能组获取数据................................................. 1071 Amazon Athena 查询（.................................................................................................. 1074 跨账户离线商店访问 ............................................................................................................... 1075 步骤 1：在账户 A 中设置离线商店访问角色 ........................................................................ 1075 步骤 2：在账户 B 中设置离线存储 S3 存储桶..................................................................... 1076 步骤 3：在账户 A 中设置离线商店 KMS 加密密钥 ............................................................... 1077 步骤 4：在账户 A 中创建功能组....................................................................................... 1078 安全和访问控制 ..................................................................................................................... 1078 使用亚马逊 SageMaker 功能商店的AWS KMS权限............................................................. 1079 授权使用您的在线商店的客户管理密钥............................................................................... 1079 使用授权对功能存储进行授权 ........................................................................................... 1080 监控功能存储与的交互AWS KMS..................................................................................... 1081 访问在线商店中的数据.................................................................................................... 1081 授权您的线下商店使用客户管理密钥.................................................................................. 1081 配额、命名规则和数据类型...................................................................................................... 1081 限制和配额................................................................................................................... 1081 命名规则 ...................................................................................................................... 1082 数据类型 ...................................................................................................................... 1082 亚马逊 SageMaker 功能商店离线商店数据格式........................................................................... 1082 亚马逊 SageMaker 功能商店笔记本示例.................................................................................... 1083 功能商店示例笔记本示例................................................................................................. 1083 培训 ............................................................................................................................................. 1085 选择算法 .............................................................................................................................. 1085 选择算法实现................................................................................................................ 1086 基本机器学习范例的问题类型 ........................................................................................... 1088 使用 内置算法............................................................................................................... 1089 使用强化学习................................................................................................................ 1333 实验 ..................................................................................................................................... 1338 支持 AWS 区域............................................................................................................. 1339 创建实验 ...................................................................................................................... 1339 查看、搜索和比较实验运行情况 ........................................................................................ 1343 SageMaker 集成............................................................................................................ 1347 教程 ............................................................................................................................. 1349 清除实验资源................................................................................................................ 1350 支持的其他 SDK............................................................................................................ 1352 实验常见问题................................................................................................................ 1354 使用控制台和 API 进行搜索............................................................................................. 1356 调试和配置........................................................................................................................... 1361 调试程序 ...................................................................................................................... 1361 支持的框架和算法 .......................................................................................................... 1362 调试程序 ...................................................................................................................... 1364 教程 ............................................................................................................................. 1365 调试训练作业................................................................................................................ 1373 简介培训职位................................................................................................................ 1403 内置规则列表................................................................................................................ 1458 创建自定义规则............................................................................................................. 1499 将调试器用于自定义训练容器 ........................................................................................... 1500 使用配置调试程序 SageMaker API................................................................................... 1504 调试器的最佳实践 .......................................................................................................... 1514 高级主题和参考资料 ....................................................................................................... 1516 自动模型优化........................................................................................................................ 1523 viii 亚马逊 SageMaker 开发人员指南 超参数优化的工作方式.................................................................................................... 1524 定义指标 ...................................................................................................................... 1525 定义超参数范围............................................................................................................. 1527 优化多个算法................................................................................................................ 1529 示例：超参数优化作业.................................................................................................... 1533 提前停止训练作业 .......................................................................................................... 1544 运行热启动超参数优化作业.............................................................................................. 1545 自动模型调整的资源限制................................................................................................. 1548 超参数优化的最佳实践.................................................................................................... 1550 分布式训练........................................................................................................................... 1552 开始使用分布式训练 ....................................................................................................... 1552 基本的分布式训练概念.................................................................................................... 1554 高级概念 ...................................................................................................................... 1555 策略 ............................................................................................................................. 1555 优化分布式训练............................................................................................................. 1557 场景 ............................................................................................................................. 1557 SageMaker的数据并行度库.............................................................................................. 1560 SageMaker的模型并行度库.............................................................................................. 1591 SageMaker 分布式训练笔记本示例................................................................................... 1653 训练编译器........................................................................................................................... 1655 什么是 SageMaker 训练编译器？..................................................................................... 1655 工作方式 ...................................................................................................................... 1656 支持的框架AWS 区域、实例类型和测试模型...................................................................... 1656 自带Deep Learning 模型................................................................................................. 1670 启用训练编译器............................................................................................................. 1677 示例笔记本和博客 .......................................................................................................... 1689 最佳实践和注意事项 ....................................................................................................... 1690 培训编译器常见问题 ....................................................................................................... 1692 问题排查 ...................................................................................................................... 1693 发行说明 ...................................................................................................................... 1697 阐明偏差检测和模型可解释性 ................................................................................................... 1700 示例笔记本................................................................................................................... 1700 先决条件 ...................................................................................................................... 1701 澄清了处理任务............................................................................................................. 1701 入门：澄清容器............................................................................................................. 1702 配置澄清处理Job........................................................................................................... 1703 配置分析 ...................................................................................................................... 1704 运行 SageMaker 澄清处理任务........................................................................................ 1710 检测训练后数据和模型偏差.............................................................................................. 1713 模型可解释性................................................................................................................ 1729 任务故障排除................................................................................................................ 1736 异构集群训练........................................................................................................................ 1738 如何配置异构集群 .......................................................................................................... 1738 使用异构集群进行分布式训练 ........................................................................................... 1741 修改您的训练脚本以分配实例组 ........................................................................................ 1743 注意事项 ...................................................................................................................... 1745 示例、博客和案例研究.................................................................................................... 1745 管理池................................................................................................................................. 1745 工作原理 ...................................................................................................................... 1746 暖池（资源限制） .......................................................................................................... 1747 如何使用 SageMaker 托管温水池..................................................................................... 1748 注意事项 ...................................................................................................................... 1751 增量训练 .............................................................................................................................. 1751 执行增量训练（控制台）................................................................................................. 1752 执行增量训练 (API)........................................................................................................ 1753 训练存储文件夹 ..................................................................................................................... 1756 概览 ............................................................................................................................. 1756 ix 亚马逊 SageMaker 开发人员指南 SageMaker 训练存储文件夹的环境变量和默认路径.............................................................. 1758 设置存储路径的提示和注意事项 ........................................................................................ 1759 访问训练数据........................................................................................................................ 1759 SageMaker 输入模式和AWS云存储.................................................................................. 1759 使用选择数据输入模式 SageMaker Python S...................................................................... 1761 将数据输入通道配置为使用 Amazon FSx for Lustre............................................................. 1762 选择数据源和输入模式的最佳实践..................................................................................... 1765 托管的 Spot 训练................................................................................................................... 1767 使用托管的 Spot 训练..................................................................................................... 1768 托管的 Spot 训练生命周期.............................................................................................. 1768 使用检查点........................................................................................................................... 1769 框架和算法................................................................................................................... 1769 启用检查点检验点 .......................................................................................................... 1770 浏览检查点文件............................................................................................................. 1771 从检查点恢复训练 .......................................................................................................... 1772 检查点检验注意事项 ....................................................................................................... 1772 使用增强清单文件.................................................................................................................. 1772 增强清单文件格式 .......................................................................................................... 1772 流式处理增强清单文件数据.............................................................................................. 1773 使用增强清单文件（控制台） ........................................................................................... 1774 使用增强清单文件 (API).................................................................................................. 1775 使用监控和分析 CloudWatch指标............................................................................................. 1776 定义训练指标................................................................................................................ 1776 监控培训Job 指标 (CloudWatch 控制台）.......................................................................... 1778 监视训练作业指标（SageMaker 控制台）.......................................................................... 1779 示例：查看训练和验证曲线.............................................................................................. 1781 部署用于推理的模型 ....................................................................................................................... 1783 先决条件 .............................................................................................................................. 1783 您需要做什么？ ..................................................................................................................... 1783 管理模型部署........................................................................................................................ 1783 部署自己的推理代码 ............................................................................................................... 1784 获取终端节点实例类型推荐...................................................................................................... 1784 工作方式 ...................................................................................................................... 1784 如何开始 ...................................................................................................................... 1784 示例笔记本................................................................................................................... 1784 先决条件 ...................................................................................................................... 1784 推荐职位 ...................................................................................................................... 1790 实时推理 .............................................................................................................................. 1813 托管选项 ...................................................................................................................... 1813 自动缩放模型................................................................................................................ 1866 主机实例存储卷............................................................................................................. 1880 在生产环境中安全验证模型.............................................................................................. 1881 最佳实践 ...................................................................................................................... 1891 澄清了在线可解释性 ....................................................................................................... 1897 调用实时终端节点 .......................................................................................................... 1913 监控模型的数据和模型质量、偏差和可解释性 ............................................................................. 1915 工作方式 ...................................................................................................................... 1916 捕获数据 ...................................................................................................................... 1917 监控数据质量................................................................................................................ 1925 监控模型质量................................................................................................................ 1931 监视器偏差漂移............................................................................................................. 1939 监控功能归因偏差 .......................................................................................................... 1947 计划监控作业................................................................................................................ 1955 预建容器 ...................................................................................................................... 1957 解析结果 ...................................................................................................................... 1958 将实时端点的结果可视化................................................................................................. 1960 高级主题 ...................................................................................................................... 1966 x

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有关更多信息，请参阅步骤3：使用内置算法训练模型并进行部署(p. 18)。 4. 列表以及相关注意事项，请参阅对Amazon SageMaker 使用内置算法(p. 31)。
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有关更多信息，请参阅步骤3：使用内置算法训练模型并进行部署(p. 18)。 4. 列表以及相关注意事项，请参阅对Amazon SageMaker 使用内置算法(p. 31)。

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