-
-
Notifications
You must be signed in to change notification settings - Fork 38
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]: pykoop: a Python Library for Koopman Operator Approximation #7451
Comments
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:
For example, to regenerate the paper pdf after making changes in the paper's md or bib files, type:
|
|
Software report:
Commit count by author:
|
Paper file info: 📄 Wordcount for ✅ The paper includes a |
License info: ✅ License found: |
Five most similar historical JOSS papers: ddop: A python package for data-driven operations management dfba: Software for efficient simulation of dynamic flux-balance analysis models in Python Simulation Decomposition in Python giotto-deep: A Python Package for Topological Deep Learning PySPOD: A Python package for Spectral Proper Orthogonal Decomposition (SPOD) |
@sdahdah - 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! If you want to fix the DOIs (noting that @editorialbot's suggestions are not always right), you can, then use the following commands (one at a time, as the first line of a new comment) to regenerate the PDF and check the references. @editorialbot generate pdf |
Thank you, I will fix the DOIs in the meantime. |
@editorialbot generate pdf |
@editorialbot generate pdf |
Five most similar historical JOSS papers: ddop: A python package for data-driven operations management dfba: Software for efficient simulation of dynamic flux-balance analysis models in Python Simulation Decomposition in Python PySPOD: A Python package for Spectral Proper Orthogonal Decomposition (SPOD) giotto-deep: A Python Package for Topological Deep Learning |
@editorialbot check references |
|
The remaining references do not have DOIs as far as I can tell. |
👋 @diehlpk - Do you think you could edit this submission? |
@editorialbot invite @diehlpk as editor |
Invitation to edit this submission sent! |
👋 @drvinceknight - Do you think you could edit this submission? |
@editorialbot invite @drvinceknight as editor |
Invitation to edit this submission sent! |
👋 @diehlpk & @drvinceknight - pinging you again... |
@danielskatz I need to pass on this one due to having too many papers assigned already. |
@gkthiruvathukal - Would you be able to edit this submission (since another of yours is just completing)? |
@editorialbot invite @gkthiruvathukal as editor |
Invitation to edit this submission sent! |
Sure, @danielskatz! |
@editorialbot assign @gkthiruvathukal as editor |
Assigned! @gkthiruvathukal is now the editor |
Not sure how I missed this @danielskatz, sorry, glad you found an editor. |
Submitting author: @sdahdah (Steven Dahdah)
Repository: https://github.com/decargroup/pykoop
Branch with paper.md (empty if default branch): paper
Version: v2.0.1
Editor: @gkthiruvathukal
Reviewers: Pending
Managing EiC: Arfon Smith
Status
Status badge code:
Author instructions
Thanks for submitting your paper to JOSS @sdahdah. Currently, there isn't a JOSS editor assigned to your paper.
@sdahdah 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:
The text was updated successfully, but these errors were encountered: