An Introduction to Gaussian Processes in PyMC3
PyData San Luis 2017
Thursday, November 16, 16:00
Software requirements
This tutorial 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 tutorial materials
Clone this repository into a directory of your choice.
git clone https://github.com/fonnesbeck/gp_tutorial_pydata.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 gp_tutorial_pydata
and install everything using conda:
conda env create -f environment.yml
This will create an environment called gp_tutorial 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 gp_tutorial