Skip to content
New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

[PRE REVIEW]: AMLTK: A Modular AutoML Toolkit in Python #6133

Closed
editorialbot opened this issue Dec 9, 2023 · 41 comments
Closed

[PRE REVIEW]: AMLTK: A Modular AutoML Toolkit in Python #6133

editorialbot opened this issue Dec 9, 2023 · 41 comments
Assignees
Labels
just pre-review Python TeX Track: 5 (DSAIS) Data Science, Artificial Intelligence, and Machine Learning waitlisted Submissions in the JOSS backlog due to reduced service mode.

Comments

@editorialbot
Copy link
Collaborator

editorialbot commented Dec 9, 2023

Submitting author: @eddiebergman (Edward Bergman)
Repository: https://github.com/automl/amltk
Branch with paper.md (empty if default branch): joss-paper
Version: v1.3.4
Editor: @JBorrow
Reviewers: @gomezzz, @woznicak, @hirzel
Managing EiC: Arfon Smith

Status

status

Status badge code:

HTML: <a href="https://joss.theoj.org/papers/63a52e26b9e3bb3cfb7e028df69d6fe5"><img src="https://joss.theoj.org/papers/63a52e26b9e3bb3cfb7e028df69d6fe5/status.svg"></a>
Markdown: [![status](https://joss.theoj.org/papers/63a52e26b9e3bb3cfb7e028df69d6fe5/status.svg)](https://joss.theoj.org/papers/63a52e26b9e3bb3cfb7e028df69d6fe5)

Author instructions

Thanks for submitting your paper to JOSS @eddiebergman. Currently, there isn't a JOSS editor assigned to your paper.

@eddiebergman if you have any suggestions for potential reviewers then please mention them here in this thread (without tagging them with an @). You can search the list of people that have already agreed to review and may be suitable for this submission.

Editor instructions

The JOSS submission bot @editorialbot is here to help you find and assign reviewers and start the main review. To find out what @editorialbot can do for you type:

@editorialbot commands
@editorialbot editorialbot added pre-review Track: 5 (DSAIS) Data Science, Artificial Intelligence, and Machine Learning labels Dec 9, 2023
@editorialbot
Copy link
Collaborator Author

Hello human, I'm @editorialbot, a robot that can help you with some common editorial tasks.

For a list of things I can do to help you, just type:

@editorialbot commands

For example, to regenerate the paper pdf after making changes in the paper's md or bib files, type:

@editorialbot generate pdf

@editorialbot
Copy link
Collaborator Author

Software report:

github.com/AlDanial/cloc v 1.88  T=0.21 s (819.7 files/s, 144138.9 lines/s)
-------------------------------------------------------------------------------
Language                     files          blank        comment           code
-------------------------------------------------------------------------------
Python                         110           4948           6589          12376
Markdown                        34            955              0           2762
SVG                             11              6             10            967
YAML                             8             31             13            527
HTML                             5             48              0            268
TOML                             1             30             14            266
TeX                              1             17              0            133
CSS                              1             17              6             87
-------------------------------------------------------------------------------
SUM:                           171           6052           6632          17386
-------------------------------------------------------------------------------


gitinspector failed to run statistical information for the repository

@editorialbot
Copy link
Collaborator Author

Wordcount for paper.md is 1189

@editorialbot
Copy link
Collaborator Author

⚠️ An error happened when generating the pdf. Problem with affiliations for Matthias Feurer, perhaps the affiliations index need quoting?.

@editorialbot
Copy link
Collaborator Author

Reference check summary (note 'MISSING' DOIs are suggestions that need verification):

OK DOIs

- None

MISSING DOIs

- 10.1109/tpami.2021.3067763 may be a valid DOI for title: Auto-Pytorch: Multi-Fidelity MetaLearning for Efficient and Robust AutoDL
- 10.21105/joss.01132 may be a valid DOI for title: GAMA: Genetic Automated Machine Learning Assistant
- 10.1007/s10994-022-06200-0 may be a valid DOI for title: Naive automated machine learning
- 10.1145/2908812.2908918 may be a valid DOI for title: Evaluation of a Tree-based Pipeline Optimization Tool for Automating Data Science
- 10.1371/journal.pdig.0000276 may be a valid DOI for title: AutoPrognosis 2.0: Democratizing Diagnostic and Prognostic Modeling in Healthcare with Automated Machine Learning

INVALID DOIs

- None

@arfon arfon added the waitlisted Submissions in the JOSS backlog due to reduced service mode. label Dec 9, 2023
@arfon
Copy link
Member

arfon commented Dec 9, 2023

@eddiebergman - thanks for your submission to JOSS. We're currently managing a large backlog of submissions and the editor most appropriate for your area is already rather busy.

For now, we will need to waitlist this paper and process it as the queue reduces. Thanks for your patience!

@eddiebergman
Copy link

@arfon No worries, we're looking forward to a review whenever the reviewer has availability :)

@eddiebergman
Copy link

@editorialbot generate pdf

@editorialbot
Copy link
Collaborator Author

👉📄 Download article proof 📄 View article proof on GitHub 📄 👈

@editorialbot
Copy link
Collaborator Author

Five most similar historical JOSS papers:

GAMA: Genetic Automated Machine learning Assistant
Submitting author: @PGijsbers
Handling editor: @arokem (Retired)
Reviewers: @jsgalan
Similarity score: 0.8675

PyAutoFit: A Classy Probabilistic Programming Language for Model Composition and Fitting
Submitting author: @Jammy2211
Handling editor: @dfm (Active)
Reviewers: @arm61, @karllark
Similarity score: 0.8230

ADaPT-ML: A Data Programming Template for Machine Learning
Submitting author: @nulberry
Handling editor: @jmschrei (Active)
Reviewers: @aaronpeikert, @wincowgerDEV
Similarity score: 0.8186

AutoFunc: A Python package for automating and verifying functional modeling
Submitting author: @AlexMikes
Handling editor: @gkthiruvathukal (Active)
Reviewers: @cmccomb, @e-dub, @srmnitc
Similarity score: 0.8185

AutoClassWrapper: a Python wrapper for AutoClass C classification
Submitting author: @pierrepo
Handling editor: @trallard (Retired)
Reviewers: @rpetit3, @lowandrew
Similarity score: 0.8171

⚠️ Note to editors: If these papers look like they might be a good match, click through to the review issue for that paper and invite one or more of the authors before considering asking the reviewers of these papers to review again for JOSS.

@arfon
Copy link
Member

arfon commented Jan 20, 2024

@editorialbot invite @JBorrow as editor

👋 @JBorrow – would you be willing to edit this submission for JOSS?

@editorialbot
Copy link
Collaborator Author

Invitation to edit this submission sent!

@JBorrow
Copy link

JBorrow commented Jan 22, 2024

Happy to edit this submission!

@JBorrow
Copy link

JBorrow commented Jan 22, 2024

@editorialbot assign me as editor

@editorialbot
Copy link
Collaborator Author

Assigned! @JBorrow is now the editor

@JBorrow
Copy link

JBorrow commented Jan 22, 2024

@eddiebergman I will be the handling editor for this submission; the next step in the process is for us to reach out to potential reviewers. If you have anyone in mind who would be appropriate, please do let me know! The guide for reviewers is available at: https://joss.readthedocs.io/en/latest/reviewer_guidelines.html.

@JBorrow
Copy link

JBorrow commented Jan 22, 2024

Hi @Jammy2211, would you be willing to review this submission to JOSS?

@eddiebergman
Copy link

Hi @JBorrow, there are a few names we could recommend. How best to forward these to you or shall I put their names here in the issue.

Further:

  • Do we need to provide github handles?
  • Do we need to provide emails?

@Jammy2211
Copy link

@JBorrow I've got two MNRAS reviews on the go (one I accepted yesterday before your invite) so I'll need to pass this time, thanks!

@JBorrow
Copy link

JBorrow commented Jan 23, 2024

@eddiebergman if you could please write their GitHub handles here but without mentioning them, I would appreciate it (i.e. JBorrow, not @JBorrow).

@JBorrow
Copy link

JBorrow commented Jan 25, 2024

Hi @eddiebergman, just a quick reminder that I'm waiting for the list of potential reviewers that you have as suggestions.

@eddiebergman
Copy link

eddiebergman commented Jan 26, 2024

Hi @JBorrow, thank you very much for the reminder!

  • Martin Hirzel hirzel - One of the main contributors to IMB Lale AutoML Tool and second author of the paper.
  • Felix Mohr fmohr - Author of ML-Plan.
  • Anna Kozak kozaka93 - Automated machine learning and responsible machine learning
  • Katarzyna Woźnica woznicak - PhD student in Machine Learning and AutoML

To the best of our knowledge, none of these proposed reviewers have a COI with any of the authors. Please let me know if you need more names!

@JBorrow
Copy link

JBorrow commented Jan 31, 2024

Thank you for providing these! I will start asking some people if they are available for reviews.

@JBorrow
Copy link

JBorrow commented Jan 31, 2024

Hi @GarrettMerz, I found your handle using the JOSS review volunteer application. Would you be interested in reviewing this package for JOSS? Our review guidelines are available here: https://joss.readthedocs.io/en/latest/reviewer_guidelines.html should you want to take a look before agreeing to review.

@JBorrow
Copy link

JBorrow commented Jan 31, 2024

Hi @hirzel, you were suggested as a potential reviewer for this paper and repository by one of the authors. Would you be interested in reviewing this package for the Journal of Open Source Software? We are a diamond open access journal focused on sharing and improving software. Our review guidelines are available here: https://joss.readthedocs.io/en/latest/reviewer_guidelines.html should you want to take a look before agreeing to review.

@JBorrow
Copy link

JBorrow commented Feb 8, 2024

Hi @woznicak, you were suggested as a potential reviewer for this paper and repository by one of the authors. Would you be interested in reviewing this package for the Journal of Open Source Software? We are a diamond open access journal focused on sharing and improving software. Our review guidelines are available here: https://joss.readthedocs.io/en/latest/reviewer_guidelines.html should you want to take a look before agreeing to review.

@JBorrow
Copy link

JBorrow commented Feb 8, 2024

Hi @gomezzz, I found your handle using the JOSS review volunteer application. Would you be interested in reviewing this package for JOSS? Our review guidelines are available here: https://joss.readthedocs.io/en/latest/reviewer_guidelines.html should you want to take a look before agreeing to review.

@hirzel
Copy link

hirzel commented Feb 8, 2024

Sorry for the delayed reply ... your reviewing process seems to be very different from that for typical academic papers, so I want to scrutinize the guidelines before committing to this.

@JBorrow
Copy link

JBorrow commented Feb 8, 2024

No worries @hirzel. Thank you for considering! Please do let me know if you have any questions about the review process or the journal more generally.

@gomezzz
Copy link

gomezzz commented Feb 9, 2024

Hi @JBorrow ,
Sure I'd be happy to review.

@woznicak
Copy link

woznicak commented Feb 9, 2024

Hello @JBorrow ,
I'd also be happy to review.

@hirzel
Copy link

hirzel commented Feb 14, 2024

Hi @JBorrow yes I would be happy to review this paper.

@JBorrow
Copy link

JBorrow commented Feb 17, 2024

Fantastic, thank you all so much! I will now assign you all as reviewers, and we will move to a different GitHub issue where the review will take place in the open. Please, if you have any further questions, do not hesitate to ask me.

@JBorrow
Copy link

JBorrow commented Feb 17, 2024

@editorialbot add @gomezzz as reviewer

@editorialbot
Copy link
Collaborator Author

@gomezzz added to the reviewers list!

@JBorrow
Copy link

JBorrow commented Feb 17, 2024

@editorialbot add @woznicak as reviewer

@editorialbot
Copy link
Collaborator Author

@woznicak added to the reviewers list!

@JBorrow
Copy link

JBorrow commented Feb 17, 2024

@editorialbot add @hirzel as reviewer

@editorialbot
Copy link
Collaborator Author

@hirzel added to the reviewers list!

@JBorrow
Copy link

JBorrow commented Feb 17, 2024

@editorialbot start review

@editorialbot
Copy link
Collaborator Author

OK, I've started the review over in #6367.

Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment
Labels
just pre-review Python TeX Track: 5 (DSAIS) Data Science, Artificial Intelligence, and Machine Learning waitlisted Submissions in the JOSS backlog due to reduced service mode.
Projects
None yet
Development

No branches or pull requests

8 participants