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FeatAug: Automatic Feature Augmentation From One-to-Many Relationship Tables
March 12, 2024, 4:42 a.m. | Danrui Qi, Weiling Zheng, Jiannan Wang
cs.LG updates on arXiv.org arxiv.org
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 is time-consuming. Featuretools [1] is a widely used tool by the data science community to automatically augment the training data by extracting new features from relevant tables. It represents each feature as a group-by aggregation SQL query on relevant tables and can automatically generate …
arxiv augmentation cs.db cs.lg feature relationship tables type
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