Meta ModelsΒΆ
Meta-model objects are created automatically by TMIP-EMAT
using the create_metamodel() function.
The MetaModel provides a basic interface structure
for interacting with meta-models used in exploratory analysis. The
class interface is designed to mimic a typical Python-based model,
passing values to and from the underlying regression model transparently.
Although the API for the meta-model class is documented here,
typically meta-model objects are created automatically by TMIP-EMAT
using the create_metamodel() function.
Documentation is provided for the scikit-learn style de-trended multi-target Gaussian process regression model, which is used by default in TMIP-EMAT.