[PRE REVIEW]: mic_dp: A Python package for maximum information coefficient differential privacy

[editorialbot]

Submitting author: @merlery (Wenjun Yang)
Repository: https://github.com/aeris-lab/mic-dp
Branch with paper.md (empty if default branch):
Version: v 0.0.1
Editor: Pending
Reviewers: Pending
Managing EiC: Daniel S. Katz

Status

Status badge code:

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Markdown: [![status](https://joss.theoj.org/papers/f1de6bc5332583dd280dca59d16f0ab6/status.svg)](https://joss.theoj.org/papers/f1de6bc5332583dd280dca59d16f0ab6)

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[editorialbot]

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

✅ OK DOIs

- 10.1126/science.1205438 is OK
- 10.1561/0400000042 is OK
- 10.1145/2976749.2978318 is OK

🟡 SKIP DOIs

- No DOI given, and none found for title: UCI Machine Learning Repository
- No DOI given, and none found for title: Midwest Residential Energy Consumption Survey (REC...
- No DOI given, and none found for title: Diffprivlib: The IBM differential privacy library
- No DOI given, and none found for title: Scikit-learn: Machine learning in Python
- No DOI given, and none found for title: Google Differential Privacy Library
- No DOI given, and none found for title: OpenDP: The OpenDP Library

❌ MISSING DOIs

- None

❌ INVALID DOIs

- None

[editorialbot]

Software report:

github.com/AlDanial/cloc v 1.98  T=0.02 s (1073.5 files/s, 181715.4 lines/s)
-------------------------------------------------------------------------------
Language                     files          blank        comment           code
-------------------------------------------------------------------------------
CSV                              1              0              0           2001
Markdown                         4            110              0            249
Python                           3             77            234            189
XML                              6              0              0             89
TeX                              1              8              0             72
Text                             3              1              0             17
-------------------------------------------------------------------------------
SUM:                            18            196            234           2617
-------------------------------------------------------------------------------

Commit count by author:

    22	Internet of Things RESearch (INTRES) @ UWT
    19	merlerr
     9	ywj17593

[editorialbot]

Paper file info:

⚠️ Wordcount for paper.md is 1350

✅ The paper includes a Statement of need section

[editorialbot]

License info:

🟡 License found: Other (Check here for OSI approval)

[editorialbot]

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

[editorialbot]

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[danielskatz]

👋 @merlery - thanks for your submission.

Is the code associated with this submission basically https://github.com/aeris-lab/mic-dp/blob/main/mic_dp/core.py ?

[merlerr]

@danielskatz -Thanks for the inquiry.
Yes most of the methods and codes are located at core.py file. Some supplemental methods and codes are located at the supervised_experiment.py under the example folder.

[danielskatz]

In this case, due to the relatively small amount of code, the editors will now discuss if it meets the substantial scholarly effort criterion for review by JOSS. You should hear back in a week or two.

[danielskatz]

@editorialbot query scope

[editorialbot]

Submission flagged for editorial review.

[danielskatz]

👋 @merlery - I'm 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.

[danielskatz]

@editorialbot reject

[editorialbot]

Paper rejected.