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Overview
The use of surrogate models in recent years is known for quickly obtaining predictive response values.
JMAG has a feature to create these surrogate models. Users can use script to verify the input and output variables as well as the accuracy of surrogate model files generated by JMAG.
This tutorial describes the procedures to verify variable names, descriptions, ranges, and the coefficients of determination of surrogate model files generated by JMAG using Python script and batch files.
Keywords
surrogate model, AI, machine learning, response value, Python, script, batch file
