May 2025
Intermediate to advanced
366 pages
4h 36m
Chinese
Content preview from 构建机器学习管道Become an O’Reilly member and get unlimited access to this title plus top books and audiobooks from O’Reilly and nearly 200 top publishers, thousands of courses curated by job role, 150+ live events each month,
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索引
A
- 使用 TensorFlow Serving 进行模型 A/B 测试,使用 TensorFlow Serving 进行模型 A/B 测试
- Kubernetes 集群节点的访问范围，管道设置
- 准确度、分类指标
- 所有组的准确率相同，公平性模型分析
- AI 平台（见Google Cloud AI 平台）
- AirflowDagRunner,管道设置,管道设置
- 气流管道配置，管道设置
- ai_platform_trainer_executor.GenericExecutor，运行训练器组件
- 分析、模型分析和验证
- 注释
- 匿名化，数据隐私的其他方法
- Apache Airflow,Apache Airflow, Apache Airflow 简介-管道执行
- 安装和初始设置,安装和初始设置-安装和 初始设置
- 使用 Apache Airflow 协调TFX 管道,使用 Apache Airflow 协调 TFX 管道-管道执行
- 设置基本管道,基本 Airflow 示例-将其组合在一起
- 简单交互式管道转换,Beam 和 Airflow 的简单交互式管道转换
- Apache Beam,TensorFlow Extended 简介,Apache Beam 简介-摘要,TFDV,Apache Beam 简介-使用 Apache Beam 协调TFX 管道
- 基本数据管道,基本数据管道
- 通过 Apache Beam 管道进行数据摄取的类和函数装饰器,重复使用现有组件
- ML 管道示例，将其组合在一起
- 使用 Google Cloud 的 Dataflow 执行，使用 Google 的 Dataflow 扩展
- 执行基本管道,执行基本管道
- 安装和设置,设置
- 使用 Apache Beam协调 TFX 管道 -使用 Apache Beam 协调 TFX 管道
- 作为管道协调器,Apache Beam
- 简单交互式管道转换,Beam 和 Airflow 的简单交互式管道转换
- 与 TensorFlow 转换一起使用，扩展预处理步骤
- 在本地设置中使用 TensorFlow 转换,TFT 的独立执行
- Apache Flink，用 Apache Beam 协调 TFX 管线
- Apache Spark，使用 Apache Beam 协调 TFX 管道
- 应用程序接口
- 阿尔戈
- 为协调 TFX 管道的 Kubeflow 管道输出配置，管道设置
- 将 Python TFX 脚本转换为 Argo 指令，用 Kubeflow 管道协调 TFX 管道
- in Kubeflow Pipelines,Kubeflow Pipelines 简介
- 工件
- 定义，TFX 组件概述
- 输入工件、在元数据存储中注册、组件驱动程序
- 检查分割数据集，将一个数据集分割成子集
- 中的引用，组件执行器
- artifact_utils 函数，组件执行器
- AUC（曲线下面积）、分类指标、评价器组件中的验证
- Avro 序列化数据，转换为 tf.示例，将 Avro 序列化数据转换为 tf.Example
- AWS（亚马逊网络服务）,使用云提供商进行部署
- 从 S3 存储桶访问私有模型,从 AWS S3 访问私有模型
- 向 TFX ...
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O’Reilly covers everything we've got, with content to help us build a world-class technology community, upgrade the capabilities and competencies of our teams, and improve overall team performance as well as their engagement.Julian F.
I wanted to learn C and C++, but it didn't click for me until I picked up an O'Reilly book. When I went on the O’Reilly platform, I was astonished to find all the books there, plus live events and sandboxes so you could play around with the technology.Addison B.
I’ve been on the O’Reilly platform for more than eight years. I use a couple of learning platforms, but I'm on O'Reilly more than anybody else. When you're there, you start learning. I'm never disappointed.Amir M.
I'm always learning. So when I got on to O'Reilly, I was like a kid in a candy store. There are playlists. There are answers. There's on-demand training. It's worth its weight in gold, in terms of what it allows me to do.