Elements of an Automatic Data Scientist.
IDA(2018)
摘要
A simple but non-trivial setting for automating data science is introduced. Given are a set of worksheets in a spreadsheet and the goal is to automatically complete some values. We also outline elements of the Synth framework that tackles this task: Synth-a-Sizer, an automated data wrangling system for automatically transforming the problem into attribute-value format; TacLe, an inductive constraint learning system for inducing formulas in spreadsheets; Mercs, a versatile predictive learning system; as well as the autocompletion component that integrates these systems.
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关键词
Automated data science, Autocompletion, Data wrangling, Learning constraints, Versatile models
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