Surrogate models

When an Discipline is costly to evaluate, it can be replaced by a SurrogateDiscipline cheap to evaluate, e.g. linear model, Kriging, RBF regressor, ... This SurrogateDiscipline is built from a few evaluations of this Discipline. This learning phase commonly relies on a regression model calibrated by machine learning techniques. This is the reason why GEMSEO provides a machine learning package which includes the BaseRegressor class implementing the concept of regression model. In addition, this machine learning package has a much broader set of features than regression: clustering, classification, dimension reduction, data scaling, ...

See also

Machine learning

• Create a surrogate discipline
  • Import
  • Create the discipline to learn
  • Create the input sampling space
  • Create the learning set
  • Create the surrogate discipline
  • Predict output