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基于AWS的数据科学实践
book

基于AWS的数据科学实践

by Chris Fregly, Antje Barth
September 2022
Intermediate to advanced
549 pages
11h 27m
Chinese
China Electric Power Press Ltd.
Content preview from 基于AWS的数据科学实践
188
|
第
5
章
5.7
使用
SageMaker Clarify
检测不同类别的数据
偏移问题
数据分布中的统计学变化,在统计学上通常被称为“移位”,在数据科学中被称为“偏
移”。有许多不同种类的偏移,包括“协变量偏移”“标签偏移”和“概念偏移”。
协变量偏移出现在模型输入的数据分布中(独立变量)。标签偏移出现在模型输出
的数据分布中(非独立变量)。概念偏移出现在标签的实际定义根据某些特征变化
的场景中,例如地理位置或年龄分组。
我们在全书中互换使用“偏移”和“移位”两个名词来表示统计学分布
的变化。如需了解分布偏移
/
移位的种类,请参见
d2l.ai
(
https://oreil.
ly/HjtbC
)。
让我们通过分析美国各地区对于“软饮料”的不同称呼来分析概念偏移。美国东部
地区将软饮料成为“
soda
”,中北部地区称为“
pop
”,南部地区称为“
coke
”。图
5-21
展示了与地理位置相关的标签变化(概念偏移)。
其他
图 5-21:美国软饮料名称的概念偏移。来源:
http://popvssoda.com
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Publisher Resources

ISBN: 9787519869663