bmorris3 / gp_interact

A simple, interactive Gaussian process regression introduction in Python

gp_interact

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

2. Change directories into the repo

cd gp_interact

3. Make sure you have the required packages installed

pip install -r requirements.txt

4. Launch the notebook with the command

jupyter notebook

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