center_warping_funs

The function 'prep_training_data' does not center the warping functions. For
visualizing the aligned and warping functions, it can be easier to look at
centered versions. This function centers the warping functions and
corresponding aligned functions.

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

Katherine Goode

veesa

Pipeline for Explainable Machine Learning with Functional Data

J. Derek Tucker

Sandia National Laboratories 

center_warping_funs function

<dl><dt>train_obj</dt>
<dd>Output object from `prep_training_data`</dd></dl>

Arguments

Center warping functions — center_warping_funs

<dl>

<dt>train_obj</dt>
<dd>Output object from `prep_training_data`</dd>

</dl>

center_warping_funs: Center warping functions

Description

Usage

Value

Arguments