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Mar, 2024
FeatAug: 从一对多关系表中自动进行特征增强
FeatAug: Automatic Feature Augmentation From One-to-Many Relationship Tables
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Danrui Qi, Weiling Zheng, Jiannan Wang
TL;DR
特征增强是机器学习模型开发中的一个关键问题,该论文提出了一种新的特征增强框架 FEATAUG,该框架可以从一对多关系表中自动提取谓词感知的 SQL 查询,并通过超参数优化和 Beam 搜索等技术提高算法性能。
Abstract
feature augmentation
from one-to-many relationship tables is a critical but challenging problem in ML model development. To augment good features, data scientists need to come up with
sql queries
manually, which
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