[PRE REVIEW]: nnR: A package to perform algebraic operations on neural networks

[editorialbot]

Submitting author: !--author-handle-->@2shakilrafi<!--end-author-handle-- (Shakil Rafi) Repository: https://github.com/2shakilrafi/nnR Branch with paper.md (empty if default branch): Version: 0.1.0-2 Editor: Pending Reviewers: Pending Managing EiC: Daniel S. Katz

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Thanks for submitting your paper to JOSS @2shakilrafi. Currently, there isn't a JOSS editor assigned to your paper.

@2shakilrafi 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.

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[editorialbot]

Software report:

github.com/AlDanial/cloc v 1.88  T=0.04 s (1222.4 files/s, 115501.3 lines/s)
-------------------------------------------------------------------------------
Language                     files          blank        comment           code
-------------------------------------------------------------------------------
R                               45            216            990           1211
TeX                              2            174              0           1156
Markdown                         3            150              0            624
Rmd                              1            110            285             65
YAML                             2              2              4             21
-------------------------------------------------------------------------------
SUM:                            53            652           1279           3077
-------------------------------------------------------------------------------

gitinspector failed to run statistical information for the repository

[editorialbot]

Wordcount for paper.md is 642

[editorialbot]

:point_right::page_facing_up: Download article proof :page_facing_up: View article proof on GitHub :page_facing_up: :point_left:

[2shakilrafi]

Robert Baker Francesco Paolo Lovergine Abinash Satapathy

[danielskatz]

@2shakilrafi - if you can provide their github usernames (but not tagged with @), please do

[danielskatz]

@2shakilrafi - also, because of the relatively small amount of code here and the relatively short commit history (in both the current repo as well as https://github.com/2shakilrafi/R-simulations/), I'm going to ask the JOSS editors to check this for scope, to see if it meets the substantial scholarly effort criterion for review by JOSS. You should hear back in a week or so.

[danielskatz]

@editorialbot query scope

[editorialbot]

Submission flagged for editorial review.

[danielskatz]

@editorialbot check references

[editorialbot]

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

OK DOIs

- 10.1007/s10444-022-09970-2 is OK
- 10.1007/s42985-021-00100-z is OK
- 10.1017/CBO9780511997044.004 is OK
- 10.1098/rspa.2019.0630 is OK
- 10.3934/dcdsb.2020320 is OK
- 10.1142/s0219493721500489 is OK
- 10.48550/arXiv.2110.08297 is OK
- 10.1090/S0273-0979-1992-00266-5 is OK
- 10.1017/CBO9780511543210 is OK
- 10.1007/s10959-008-0155-9 is OK
- 10.1214/20-EJP423 is OK
- 10.1142/S0219493721500489 is OK
- 10.1038/s41467-021-27838-9 is OK
- 10.1038/s42005-023-01334-6 is OK
- 10.1007/s42985-021-00089-5 is OK
- 10.1007/s10915-018-00903-0 is OK
- 10.1609/aaai.v35i8.16826 is OK
- 10.1109/CVPR.2017.195 is OK
- 10.1016/j.neunet.2018.08.019 is OK
- 10.1007/BF02478259 is OK
- 10.1007/BF02551274 is OK
- 10.1109/72.712178 is OK
- 10.48550/arXiv.1811.01122 is OK
- 10.1609/aaai.v35i8.16826 is OK

MISSING DOIs

- 10.1093/acprof:oso/9780190241148.003.0012 may be a valid DOI for title: Brownian Motion and Stochastic Calculus
- 10.1090/memo/1410 may be a valid DOI for title: A proof that artificial neural networks overcome the curse of dimensionality in the numerical approximation of Black-Scholes partial differential equations
- 10.1201/9781420035827-8 may be a valid DOI for title: Matrix Computations
- 10.18653/v1/p19-1355 may be a valid DOI for title: Energy and Policy Considerations for Deep Learning in NLP
- 10.1016/0893-6080(91)90009-t may be a valid DOI for title: Approximation capabilities of multilayer feedforward networks

INVALID DOIs

- https://doi.org/10.1016/j.exco.2021.100035 is INVALID because of 'https://doi.org/' prefix

[danielskatz]

@2shakilrafi - finally, you could work on the possibly missing DOIs that editorialbot suggests, but note that some may be incorrect. Please feel free to make changes to your .bib file, then use the command @editorialbot check references to check again, and the command @editorialbot generate pdf when the references are right to make a new PDF. editorialbot commands need to be the first entry in a new comment.

[2shakilrafi]

fpl RobLBaker Abinashbunty

[danielskatz]

@2shakilrafi - for the future, if you can provide their github usernames (but not tagged with @), please do meant to not put the @ in front of their usernames so they didn't get notified about this until an editor decided to ask them.

[Abinashbunty]

@danielskatz I'm done with my latest review, so I'm available for this paper. Feel free to assign me as reviewer or I'll wait for editor as well. 🙂

[danielskatz]

Thanks @Abinashbunty - the editor should do the assigning

[2shakilrafi]

@2shakilrafi - for the future, if you can provide their github usernames (but not tagged with @), please do meant to not put the @ in front of their usernames so they didn't get notified about this until an editor decided to ask them.

Ooops my bad, sorry about that.

[danielskatz]

@2shakilrafi - I apologize for the delay in getting back to you, and I'm also sorry to say that after discussion amongst the JOSS editors, we have decided that this submission does not meet the substantial scholarly effort criterion for review by JOSS. Please see https://joss.readthedocs.io/en/latest/submitting.html#other-venues-for-reviewing-and-publishing-software-packages for other suggestions for how you might receive credit for your work.

Some comments from editors on the current version include

• the README is sparse and is missing a lot of the JOSS required elements
• there are no Issues or Pull Requests that have ever been opened in the repository, suggesting this isn't being used/contributed to by many at this point
• These sentences in DESCRIPTION: "Our implementation is meant mainly as a pedagogical tool, and proof of concept. Faster implementations with deeper vectorizations may be made in future versions."
• The code is relatively minimal and the documentation is pretty sparse, so it's hard to assess the contribution and effort

This was fairly close, and if you further develop the software (perhaps adding to it in some way, and adding more documentation), we would encourage you to submit again in a year or so, or when you think you've made more progress.

[danielskatz]

@editorialbot reject

[editorialbot]

Paper rejected.