Before downloading the code, feel free to have a go with our web apps!
Perform data-driven dimension reduction with equadratures. Use dimension reducing ridges to explore an airfoil flowfield, or upload your own dataset to reduce its dimensionality.
Polynomial Regression Trees
Fit polynomial regression trees to your data! These combine decision trees and polynomials to form a new supervised machine learning model with a high degree of interpretability.
Use polynomial chaos to quantify the uncertainty of a computational model. Interact with your own offline model, or try an analytical one.