TY - ADVS
T1 - Digital Twin Analytics SEARCH: Generating initial ML Results for an Unidentified Dataset
A2 - INL Software
A2 - Kunz, Matthew
A2 - Wilsdon, Katherine
A2 - Wen, Shaw
A2 - Conley, Thomas
A2 - Galloway, Dawn
PY - 2024
Y1 - 2024
N2 - The purpose of this software is to generate initial machine learning results for an unidentified data set. This package leverages various components of SEARCH: store, explore, assess, reduce, confirm, and holistic. It allows for analysis of a given data set by preprocessing the data, selecting suitable algorithms for analysis, performing dimension reduction, validating results through multiple imputations of the data, and providing user-friendly documentation. It has diverse applications in machine learning and serves as an open-source, edge-based automated machine learning platform.
AB - The purpose of this software is to generate initial machine learning results for an unidentified data set. This package leverages various components of SEARCH: store, explore, assess, reduce, confirm, and holistic. It allows for analysis of a given data set by preprocessing the data, selecting suitable algorithms for analysis, performing dimension reduction, validating results through multiple imputations of the data, and providing user-friendly documentation. It has diverse applications in machine learning and serves as an open-source, edge-based automated machine learning platform.
M3 - Software
ER -