Join GitHub today
GitHub is home to over 31 million developers working together to host and review code, manage projects, and build software together.Sign up
Review #2 #3
The following peer review was solicited as part of the Distill review process.
The reviewer chose to keep anonymity. Distill offers reviewers a choice between anonymous review and offering reviews under their name. Non-anonymous review allows reviewers to get credit for the service them offer to the community.
Distill is grateful to the reviewer for taking the time to review this article.
Labeling figures would have been helpful. Axis labels (even dummy values) on some plots would have been helpful because it's not clear what they refer to on the first pass, such as the first figures in the "Gaussian Process" and "Kernel" sections. It's also not intuitive how to play with the figures.
For diagrams with a shaded portion (first and last figures in article), it's not clear how much "confidence" (standard deviations) they show. Are they showing the mean plus/minus one standard deviation? Two standard deviations?
The definition for regression is not precise (what does "as close as possible" mean?). On the definition of Gaussian Processes, I would say that GPs give a confidence for the predicted value for a given input. GPs can be viewed as a distribution over functions, so it’s not accurate to use the term “predicted function” in the first definition.
For the definition of GPs, I would avoid the use of the term “kernel” and prefer the term “covariance function”. Or include a caveat to avoid confusion between GP kernels and kernel methods (e.g. SVMs).
Distill employs a reviewer worksheet as a help for reviewers.
The first three parts of this worksheet ask reviewers to rate a submission along certain dimensions on a scale from 1 to 5. While the scale meaning is consistently "higher is better", please read the explanations for our expectations for each score—we do not expect even exceptionally good papers to receive a perfect score in every category, and expect most papers to be around a 3 in most categories.
Any concerns or conflicts of interest that you are aware of?: No known conflicts of interest
PR #15 adresses
PR #20 adresses