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已发布 : Nov 20, 2019
Not on the current edition
This blip is not on the current edition of the Radar. If it was on one of the last few editions it is likely that it is still relevant. If the blip is older it might no longer be relevant and our assessment might be different today. Unfortunately, we simply don't have the bandwidth to continuously review blips from previous editions of the Radar Understand more
Nov 2019
评估 ? 在了解它将对你的企业产生什么影响的前提下值得探索

不论是直接使用还是作为机器学习模型的训练输入,越来越多的重要决策源自于大数据集。因此了解数据中的差距、缺陷和潜在偏见十分重要。Google的Facets项目在此领域提供了两个有力工具:Facets Overview和Facets Dive。Facets Overview对数据集中的特征分布进行可视化,可以展现训练和验证集的偏斜,并且可以用于比较多个数据集;Facets Dive用于在大数据集中挖掘和可视化单个数据点,并使用不同的可视维度来探究属性之间的关系。它们都是进行道德偏差测试的有力工具。

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