George

Fast and flexible Gaussian Process regression in Python.

Read the documentation at: dan.iel.fm/george.

This fork implements spectral mixture kernels at the C level with george (for spectral mixture kernels see http://arxiv.org/abs/1302.4245). Coded in collaboration with Felipe Rojas.

An example of the usage of the kernel is as follows:

import george
from george import kernels

# An SM kernel models the spectral density with N gaussians
# This creates a one gaussian kernel with amplitude amp, mean mu and
# inverse variance v

kernel = amp * kernels.SMKernel((mu,v))