Gp-emulator

This release deals with Python 3 and starts documentation. Can also install from pip, or conda.

This code has been used in the Remote Sensing paper that cites this release (a recursive software release we're dealing with here... No less and no more...). The paper reference is

Gomez-Dans, J L, Lewis, P E, Disney M, "Efficient Emulation of Radiative Transfer Codes Using Gaussian Processes and Application to Land Surface Parameter Inferences", Remote Sensing, 2016

This bump to version 1.5.5 brings the possibility to only limit the prediction to only calculate the mean, with the variance and emulated gradient being now optional. Note that the return is now always a 3-element tuple, with some of those elements set to `None` if they're not being calculated.

This version also gives you the chance to specialise the training set. While that could already be done by changing the PDF of the parameters for the LHS scheme, you can now add reinforced sampling of same areas of interest.

Finally, the dependency on h5py has now been take out (I think!). At some point, we'll have a sensible way to save and retrieve emulators and metadata, but so far hdf5 is causing more headaches than problems it is solving!

Nothing new here, I just got rid of HDF5, as it's not ready to be used to load/save emulators, and the library has some really dodgy properties depending on how you compile it.

Main update here has been the inclusion of a function that allows one to easily create an emulator from a simulator Python function. The function tests the emulator with an independent run of the simulator, and will also test the partial derivatives using finite differences.