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An Introduction to Gaussian Processes

Software requirements

This post is based on Python 3. I cannot guarantee that the materials will work well with Python 2 or earlier, so ensure Python 3.5 or greater is installed on your system.

I recommend installing the Anaconda distribution of Python 3, as it allows for the easy automation of package installation and virtual environment creation (see instructions below).

Getting the materials

Clone this repository into a directory of your choice.

git clone https://github.com/udohsolomon/GPIntroduction.git

If you are not familiar with Git and GitHub, you can simply download the zip file of the repository at the top of the main repository page.

Then, move to the directory created by the clone/zip file:

cd GPIntroduction

and install everything using conda:

conda env create -f environment.yml

This will create an environment called GPIntroduction that includes the packages required for the course.

If you are not using the Anaconda Python distribution, you will need to manually install the packages listed in environment.yml using pip.

Which you probably don't want to do.

So install Anaconda.

To use the environment, you may type:

source activate GPIntroduction

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