This simple python project performs Gaussian process regression, without depending on any external libraries.
Gaussian process regression involves sampling from a distribution over all functions:
Allowing us to make predictions based on a training data set consisting of samples from the true process:
This project is licensed under the terms of MIT license. See the LICENSE file for more info.