ML_LEARN_ERSATZ

ML_LEARN_ERSATZ Worker

Overview

A new worker, ML_LEARN_ERSATZ, has been added to Workflows. This worker enables training of machine learning models to generate Ersatz (surrogate) models based on input data.

Description

The ML_LEARN_ERSATZ worker is designed to learn relationships between input parameters and target responses, creating a surrogate model that can approximate complex simulations or experimental results. This helps reduce computation time by replacing expensive evaluations with fast predictions.