The heron
package is a python library for using Gaussian Process
Regression to generate and train Gaussian Process regression models
for surrogate modelling.
It was originally built for producing a surrogate model for numerical relativity waveforms from binary black hole coalesences, but the code should be sufficiently general to allow other surrogate models to be built.
In order to handle very large models, heron
can use the george
python package to generate the underlying Gaussian Process, which can
handle very large models thanks to its use of a hierarchical matrix
inverter.
Single-valued function surrogate production from multivalued inputs
Handling very large datasets.