SMT Toolbox

These tutorials introduce to use the opensource Surrogate Modeling Toolbox where different surrogate models are available.

SMT Tutorial (linear, quadratic, gaussian process, ...)

Noisy Gaussian process

Multi-Fidelity Gaussian Process (with or without noise)

LHS sampling (initial and expanded)

Gaussian Process Trajectory Sampling

Bayesian Optimization - Efficient Global Optimization to solve unconstrained problems

Mixed-Integer Gaussian Process and Bayesian Optimization to solve unconstrained problems with mixed variables (continuous, discrete, categorical)

Specific notebook associated to the SMT 2.0 Journal Paper (submitted) with a focus on mixed integer and mixed hierarchical surrogate models (continuous, discrete, categorical)