EVRI-thing You Need to Know About Diviner & Ensembles in PLS_Toolbox/Solo 9.6

Diviner, our semi-automated machine learning tools for calibration model development was released in the previous version of PLS_Toolbox/Solo. In many instances Diviner produces many quality calibration models with similar performance but different construction (preprocessing, variable selections, number of model factors). While users can certainly choose a single model it is also possible to leverage these models by forming an ensemble. Ensembles often out-perform any single model and are more robust. The 9.6 version of PLS_Toolbox and Solo includes a streamlined model selection process and a variety of methods for choosing and applying an ensemble.

Manny Palacios and Lyle Lawrence presented “EVRI-thing You Need to Know About Diviner & Ensembles in PLS_Toolbox/Solo 9.6” on Thursday, September 24.  This video highlights all of the new features and how to use them.

This webinar is part of a series of webinars that take deeper dives into all the new features of PLS_Toolbox/Solo 9.6 with a focus on use cases and “how to.”