/GP_tutorial

Primary LanguageJupyter NotebookMIT LicenseMIT

Gaussian Process tutorial

This code serves as an introduction to Gaussian Processes. It demonstrates how to apply Gaussian processes to regression and time-series data using the python library GPflow.

Purpose of the project

This software is a tutorial, solely developed for educational purpose. It will neither be maintained nor monitored in any way.

License

Benchmarks is open-sourced under the MIT license. See the LICENSE file for details.