[PRE REVIEW]: idinn: A Python Package for Inventory-Dynamics Control with Neural Networks

[editorialbot]

Submitting author: !--author-handle-->@iewaij<!--end-author-handle-- (Jiawei Li) Repository: https://gitlab.com/ComputationalScience/idinn Branch with paper.md (empty if default branch): Version: v0.1.5 Editor: Pending Reviewers: Pending Managing EiC: Chris Vernon

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[editorialbot]

Software report:

github.com/AlDanial/cloc v 1.90  T=0.02 s (1263.1 files/s, 131553.2 lines/s)
-------------------------------------------------------------------------------
Language                     files          blank        comment           code
-------------------------------------------------------------------------------
Python                           7            167            403            904
Markdown                         2            103              0            324
TeX                              1             19              0            220
reStructuredText                12            136            222            103
TOML                             1              3              0             29
DOS Batch                        1              8              1             26
YAML                             1              3              7             10
make                             1              4              7              9
-------------------------------------------------------------------------------
SUM:                            26            443            640           1625
-------------------------------------------------------------------------------

Commit count by author:

   167  Lucas Böttcher
    58  Jiawei Li
     2  Ioannis Fragkos

[editorialbot]

Paper file info:

📄 Wordcount for paper.md is 2404

✅ The paper includes a Statement of need section

[editorialbot]

License info:

✅ License found: MIT License (Valid open source OSI approved license)

[editorialbot]

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

OK DOIs

- None

MISSING DOIs

- 10.1287/ijoc.2022.0136 may be a valid DOI for title: Control of dual-sourcing inventory systems using r...
- No DOI given, and none found for title: Robust dual sourcing inventory management: Optimal...
- No DOI given, and none found for title: A delivery-lag inventory model with an emergency p...
- No DOI given, and none found for title: Optimal policies for the inventory problem with ne...
- No DOI given, and none found for title: Injecting logical constraints into neural networks...
- No DOI given, and none found for title: Towards recommendations for value sensitive sustai...
- 10.1101/2024.03.18.585589 may be a valid DOI for title: Control of medical digital twins with artificial n...
- No DOI given, and none found for title: Gradient-free training of neural ODEs for system i...
- 10.2139/ssrn.4003191 may be a valid DOI for title: Optimal control of PDEs using physics-informed neu...
- 10.1088/2632-2153/ac92c3 may be a valid DOI for title: Near-optimal control of dynamical systems with neu...
- 10.1038/s41467-021-27590-0 may be a valid DOI for title: AI Pontryagin or how artificial neural networks le...
- 10.1103/physrevresearch.4.013221 may be a valid DOI for title: Neural ordinary differential equation control of d...
- 10.1109/72.661124 may be a valid DOI for title: Runge–Kutta neural network for identification of d...
- No DOI given, and none found for title: Neural ordinary differential equations
- No DOI given, and none found for title: Interpretable polynomial neural ordinary different...
- No DOI given, and none found for title: Automatic differentiation in PyTorch
- No DOI given, and none found for title: PyTorch: An imperative style, high-performance dee...
- 10.1287/msom.2019.0798 may be a valid DOI for title: Capacity and inventory management: Review, trends,...
- 10.4337/9781800377103.00015 may be a valid DOI for title: Dual-sourcing, dual-mode dynamic stochastic invent...
- 10.1145/3604237.3626857 may be a valid DOI for title: Gradient-assisted calibration for financial agent-...

INVALID DOIs

- None

[editorialbot]

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

[editorialbot]

Five most similar historical JOSS papers:

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⚠️ 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.

[crvernon]

@editorialbot query scope

:wave: @iewaij - Thank you for your submission to JOSS! I am going to run this submission through our larger editorial board due to ensure that it meets the substantial scholarly effort requirements. This should take about 2 weeks and I'll inform you when we have reached agreement. Thanks!

[editorialbot]

Submission flagged for editorial review.

[crvernon]

@editorialbot reject

👋 @iewaij - Thanks so much for your submission to JOSS. After further review with our larger editorial board we must reject your submission at this time based on it falling short of our substantial scholarly effort requirements. Specifically, the editors found the following:

• Code base too small in general
• Code base size also an issue due to code duplication for items such as fit functions

Thank you and we wish you the best in the advancement of this codebase.

[editorialbot]

Paper rejected.