A python package for scalable Gaussian process regression, allowing for simultaneous inference of both a dataset's latent function and input-dependent noise profile. Originally developed for ...

@misc{wang2020intuitive, title={An Intuitive Tutorial to Gaussian Processes Regression}, author={Jie Wang}, year={2020}, eprint={2009.10862}, archivePrefix={arXiv}, primaryClass={stat.ML} } This ...

Gaussian process regression (GPR), it's all the rage. However, many people may feel that it is difficult to understand what role the hyperparameters of GPR play. Therefore, I created a tool to ...