A collection of ipython notebooks outlining the basic features of Gaussian Process Regression.
The following packages are required:
numpy scipy matplotlib ipython[all]
Install them as you see fit and clone the GPR_by_Example directory i.e.
$ git clone https://github.com/landmanbester/GPR_by_Example
To run the demos just cd into GPR_by_Example directory and run (make sure you have activated your virtual environment if you are using one)
$ jupyter notebook
Further instructions await you there.