Initial implementation of GPML toolbox 3.2. Implemented are only basic inference, covariance, likelihood and mean functions.
Implemented simple and composite mean functions.
Added copyright file.
Comparing function's module name to global variable '__name__'.
Default value of hyp parameter set to None, compare functions' module name to global variable __name__ and other minor improvements.
Implemented periodic, seIso, seIsoU, rqIso, sum and prod covariance functions.
AddedGPML example: predicting carbon dioxide concentration.
Main description of the covariance functions module added.
FITC covariance function added and improved documentation.
FITC inference function added and improved documentation.
Imports fixed.
Expectation Propagation (EP) inference method added.
Error or cumulative Gaussian likelihood (erf) and logistic likelihood functions added.
EP inference method improved.
Classification example added.
Merge pull request #1 from depet/gpml

GPML 0.1