Gaussian Processes Practical Tips
These repo contains a collection of experiments on benchmark datasets to validate the practical tips to improve the performance of Gaussian processes.
Tips
Datasets
- UCI datasets (available on request)
Collaboration guidelines
General guidelines
- You can take up a particular issue, discuss doubts in the issue itself and submit a PR to resolve the issue.
Technical details
- We are going to work with
hydra
for configuration management. For motivation behind using it, I highly recommend watching this video. - If needed, we should be able to spin off multiple jobs (experiment configs) at once using hydra's cli interface.
- We should log statistics such as training and testing time, memory usage etc. using
hydra
's logging interface.