The libgp file format

Gaussian process models and the training data can be easily written to text files using the write command. The syntax of the model files is very simple.

• Lines beginning with # are interpreted as comments and are ignored.
• The first non-comment and non-empty line contains the input dimensionality.
• The second line describes the covariance function. Composite covariance functions are specified by their name, followed by two covariance functions (composite or simple) enclosed in parenthesis and separated by comma.
• The next line contains the log-hyperparameters of the covariance function.
• The remaining lines are filled with the training data. The first number is the target value, the following values represent the input vector.

Example

# Tue May 22 15:22:15 2012

# input dimensionality
2

# covariance function
CovSum(CovSEiso, CovNoise)

# log-hyperparameter
0 0 -2 

# data (target value in first column)
-0.2418600751 -0.414140905 1.361941478 
-0.3589076369 -0.7252289108 1.545713733 
-0.01130130786 -1.362525494 -0.4651365008 
-0.2589561064 1.599417225 -1.345816197 
1.031256984 0.4165767588 0.3307960848 
-0.4366041211 -0.8263977195 0.9695096241 
-0.2039803933 -0.3800694657 1.429511771 
-2.104040652 1.38590312 -1.988979674 
1.423510208 1.151506484 -0.9375510601 
1.036225178 0.403420546 0.4348626134 
-0.2472420233 -0.781371593 -1.392560544 
0.6467016903 0.5744393156 1.014213103 
0.3509130214 -0.1625587347 0.6099537879 
0.1124851074 -0.5278405303 1.775561357 
-1.398084471 -0.908916189 -1.902803377 
-1.460878427 1.5107734 -1.762525226