heron — Heron 0.1.0+65.g49fbb43.dirty documentation


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.