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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222
｜
第
6
章
record_identifier_value = 'IJKL2345'
featurestore_runtime.get_record(
FeatureGroupName=reviews_feature_group_name,
RecordIdentifierValueAsString=record_identifier_value)
6.4
使用
SageMaker Data Wrangler
接入并转换
数据
Data Wrangler
原生支持
SageMaker
，其专注于机器学习使用场景，并在包括数据接
入、特征工程、模型训练、模型优化和模型部署的整个模型开发生命周期（
model
development life cycle, MDLC
）中保留构件的谱系。除第
5
章分析数据之外，
SageMaker Data Wrangler
准备并转换机器学习特征，且支持超过
300
种内置转换，
以及自定义
SQL
，
pandas
和
Apache Spark
代码。
Data Wrangler
有许多用途，诸如
转换列数据类型，输入缺失数据值，划分数据集为训练
/
验证
/
测试，列扩展和归
一化以及移除列。
数据转换步骤保存在
Data Wrangler
的
.flow
定义文件，这些步骤在新数据到达系统
时可重复使用。
我们也可将
Data Wrangler
转换导出为
.flow
文件到
SageMaker
处理任务、流水线、
特征存储或原始
Python
脚本。让我们导出
Data Wrangler
的工作流到
SageMaker ...
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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.