Digital Twin Analytics SEARCH: Generating initial ML Results for an Unidentified Dataset
This package utilizes different components of SEARCH: store, explore, assess, reduce, confirm, and holistic to generate initial machine learning results for an unidentified data set.
Technology No. CW-23-38
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.