interpretation engines to, according to different processing strategies, generate different
feature engineering pipelines that specify operations for generating feature sets that can be
used for training ML models.ones of the feature engineering pipelines can be provided to
users, who may select a preferred feature engineering pipeline for use or further modify the
feature engineering pipelines according to user-knowledge for further customization.