September 2022
Intermediate to advanced
549 pages
11h 27m
Chinese
Content preview from 基于AWS的数据科学实践
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90
｜
第
3
章
3.2
用
SageMaker Autopilot
跟踪实验
SageMaker Autopilot
使用
SageMaker
实验来跟踪所有的数据分析、特征工程和模型
训练与调优步骤。这个功能在
Amazon SageMaker
的
ML
服务家族中广泛存在，其
可以帮助我们组织、追踪、比较并评估机器学习实验。
SageMaker
实验使
ML
生命
周期的所有阶段中的模型版本控制和血统追踪（
lineage tracking
）变得可能。
一个
SageMaker
实验由一些尝试（
trials
）组成。一次尝试是一组步骤，包括数据预
处理、模型训练和模型调优。
SageMaker
实验也提供跨
S3
位置、算法、超参数、已
训练模型和模型性能指标的血统追踪。
我们可以通过
UI
界面或
SDK
探索并管理
SageMaker Autopilot
实验和尝试，比如
Amazon SageMaker Python SDK
（
https:// oreil.ly/nUN9I
）或
AWS SDK for Python
（
Boto3
）（
https://oreil.ly/eiN8j
）。
SageMaker SDK
是一个基于
Boto3
的、针对
SageMaker
的高级抽象，是
开发和管理
SageMaker
模型的推荐选择。
3.3
用
SageMaker Autopilot
训练并部署文本
分类器
让我们创建一个
SageMaker Autopilot
实验，以构建一个自定义文本分类器，对我们
所销售产品的公众反馈进行分类。产品反馈来源于不同的在线渠道，比如网站、合
作方网站、社交媒体和客户支持邮件等 ...
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and much more.
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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.