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GaussianProcesses

Overview

Gaussian Processes regression and classification implementations (GPR.ipynb and GPC.ipynb), as well as blog-style notebook (GPR_blog.ipynb) containing a simpler and more refined implementation (see https://michaeloneill.github.io for static site).

Running the notebooks

  1. Clone Repo
  2. Install virtualenv
  3. cd to cloned GaussianProcesses repo and execute virtualenv -p python3 venv to create a virtual environment
  4. Execute source venv/bin/activate to activate the virtual environment.
  5. Execute pip install -r requirements.txt in the activated virtual environment to install the necessary dependencies to run the notebooks.
  6. Execute jupyter notebook to open a local server where the notebooks can be viewed/edited/run.