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Deep Feature Synthesis is an algorithm developed by James Max Kanter and Kalyan Veeramachaneni in their paper "Deep Feature Synthesis: Towards Automating Data Science Endeavors" == Definition == Quoting the above paper: "Deep Feature Synthesis is an algorithm that automatically generates features for relational datasets. In essence, the algorithm follows relationships in the data to a base field, and then sequentially applies mathematical functions along that path to create the final feature." 抄文引用元・出典: フリー百科事典『 ウィキペディア(Wikipedia)』 ■ウィキペディアで「Deep feature synthesis」の詳細全文を読む スポンサード リンク
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