Time: June 16, 2025, 9 - 12 am
Workshop facilitator: Barry M. Wise, Ph.D. President, Eigenvector Research, Inc.
Diviner, our semi-automated machine learning tool (semi-autoML) for developing calibration models, was introduced with PLS_Toolbox and Solo 9.5 in 2024. (Divine—to discover or locate something by intuition, insight or supernatural means.) Unlike conventional autoML methods that yield a single optimal model, our approach creates a diverse family of models and ranks them by their cross-validation performance, degree of overfitting, and prediction error on validation sets. These models may be further refined to produce a single “optimal” model. Alternately, a group of candidate models can be used to create an ensemble model that harnesses the diversity of the candidate models. These models are combined using voting regression. This leverages the complementary strengths and reduces individual model weaknesses, enhancing overall predictive accuracy and robustness. In this hands-on class participants will learn to use Diviner to create single models and ensembles.
Barry M. Wise
Barry M. Wise received his Doctor of Philosophy degree in Chemical Engineering from the University of Washington in 1991 where his research focused on applying multivariate methods to chemical systems. Dr. Wise has authored more than 50 scientific publications, patents and book chapters, and a popular chemometrics software package, PLS_Toolbox, used by scientists and engineers world-wide. Wise is President and co-founder of Eigenvector Research, Inc. which delivers chemometrics software, training and consulting. Thousands have attended Wise’s chemometrics short courses at conferences and at Eigenvector University, in person and online. Dr. Wise was named winner of the Eastern Analytical Symposium Award for Achievements in Chemometrics in 2001 in recognition of his significant contributions to the field. He received the Wold Medal in Gold in 2019 for his deep commitment to the proliferation of chemometrics.
