A simple, interactive Gaussian process regression introduction in Python
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README.md

gp_interact

Binder

A simple, interactive Gaussian process regression introduction in Python.

Getting started via Binder

  1. Click the "Launch Binder" button above
  2. Wait for the interactive notebook to launch
  3. Start learning by reading the notebook, and executing its cells

Getting started via source code

  1. Clone the repository with
git clone https://github.com/bmorris3/gp_interact.git
  1. Change directories into the repo
cd gp_interact
  1. Make sure you have the required packages installed
pip install -r requirements.txt
  1. Launch the notebook with the command
jupyter notebook

gp_interact only requires python 3, numpy, matplotlib and scipy.