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  "Description": "Implements the Variable importance Explainable Elastic\nShape Analysis pipeline for explainable machine learning with\nfunctional data inputs. Converts training and testing data\nfunctional inputs to elastic shape analysis principal\ncomponents that account for vertical and/or horizontal\nvariability. Computes feature importance to identify important\nprincipal components and visualizes variability captured by\nfunctional principal components. See Goode et al. (2025)\n<doi:10.48550/arXiv.2501.07602> for technical details about the\nmethodology.",
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