Perform Gaussian process regression in x-y data. The code makes use of the excellent GPy package.

1. Rasmussen, C. E. and C. K. I. Williams (2006). Gaussian processes for machine learning. Cambridge, Mass., MIT Press.
2. The GPy authors, (2012--2014). "GPy: A Gaussian process framework in Python." from http://github.com/SheffieldML/GPy.

Researchers should cite this work as follows:

• Ilias Bilionis, Alejandro Strachan, Benjamin P Haley, Martin Hunt, Rohit Kaushal Tripathy, Sam Reeve (2014), "Gaussian process regression in 1D," https://nanohub.org/resources/gptool. (DOI: 10.4231/D3CZ3259R).

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1. Bayesian
2. Bayesian statistics
3. Gaussian process
4. machine learning
5. NCN Group - Machine Learning
6. NCN Group - Materials Science
7. regression
8. uncertainty quantification (UQ)