This repository contains the code and resources for a scientific initiation project entitled "Shape-constrained Gaussian Processes" conducted by Eduardo Adame under the supervision of Professor Luiz Max Carvalho, PhD.
The use of Gaussian processes is a powerful technique for estimating functions which cannot be evaluated across their entire domain, allowing for the quantification of estimation uncertainties, especially when following the Bayesian paradigm. However, when we have prior knowledge about the shape properties of a function, especially its derivatives, it is possible to enhance the quality of our estimates. This project focuses on the development and application of shape-constrained Gaussian processes to improve function estimation.
'src': Contains the codebase for the project;'docs': Documentation related to the project;'data': Datasets or any data-related resources used in the project;'results': The project results, including plots, figures, and output files.
- Eduardo Adame: eadamesalles@gmail.com
- Luiz Max Carvalho: lmax.fgv@gmail.com
This project is licensed under the Mozilla Public License 2.0 - see the LICENSE file for details.