[PRE REVIEW]: Scikit-Longitudinal: A Machine Learning Library for Longitudinal Classification in Python

[editorialbot]

Submitting author: @simonprovost (Simon Provost)
Repository: https://github.com/simonprovost/scikit-longitudinal
Branch with paper.md (empty if default branch): joss-paper
Version: v0.0.7
Editor: Pending
Reviewers: Pending
Managing EiC: Chris Vernon

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

✅ OK DOIs

- None

🟡 SKIP DOIs

- No DOI given, and none found for title: Autoprognosis: Automated clinical prognostic model...
- No DOI given, and none found for title: Scikit-learn: Machine learning in Python
- No DOI given, and none found for title: Longitudinal research and data analysis
- No DOI given, and none found for title: Mixed-effects models in S and S-PLUS
- No DOI given, and none found for title: Gaussian Process Boosting
- No DOI given, and none found for title: New Longitudinal Classification Approaches and App...
- No DOI given, and none found for title: treeple: Modern decision-trees compatible with sci...
- No DOI given, and none found for title: A mini-survey of supervised machine learning appro...
- No DOI given, and none found for title: Supervised machine learning: A review of classific...

❌ MISSING DOIs

- 10.1109/bibm62325.2024.10821737 may be a valid DOI for title: Auto-Sklong: A New AutoML System for Longitudinal ...
- 10.1109/icdmw.2017.102 may be a valid DOI for title: Feature selection for the classification of longit...
- 10.1109/icdmw.2017.102 may be a valid DOI for title: Feature Selection for the classification of longit...
- 10.1145/3477314.3507240 may be a valid DOI for title: Nested trees for longitudinal classification
- 10.21203/rs.3.rs-2225503/v1 may be a valid DOI for title: A lexicographic optimisation approach to promote m...
- 10.1007/s10115-023-02010-5 may be a valid DOI for title: Feature selection techniques for machine learning:...

❌ INVALID DOIs

- None

[editorialbot]

Software report:

github.com/AlDanial/cloc v 1.98  T=0.10 s (1096.5 files/s, 131078.9 lines/s)
-------------------------------------------------------------------------------
Language                     files          blank        comment           code
-------------------------------------------------------------------------------
Python                          59           1772           3393           4308
Markdown                        27            516              2           1354
Text                             1              0              0            623
HTML                             1             48              7            386
YAML                             8             48             15            374
CSS                              2             55              5            299
TeX                              1             14              0            122
TOML                             1              3              0             74
XML                              2              0              0             64
CSV                              5              0              0             60
Bourne Shell                     4             12              2             32
SVG                              1              0              0             20
JavaScript                       1              1              0             18
JSON                             1              0              0              1
-------------------------------------------------------------------------------
SUM:                           114           2469           3424           7735
-------------------------------------------------------------------------------

Commit count by author:

   148	Provost Simon
    17	sgp28

[editorialbot]

Paper file info:

⚠️ Wordcount for paper.md is 1295

✅ The paper includes a Statement of need section

[editorialbot]

License info:

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

[editorialbot]

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

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[simonprovost]

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[simonprovost]

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📄 Preprint file created: Find it here in the Artifacts list 📄

[simonprovost]

Thanks very much @crvernon!

Suggested reviewers given their expertise

Note

Below is showing hyperlinks and not tagging, as suggested.

• [Highly relevant] mhu48
• KennethEnevoldsen
• MartinBernstorff
• HLasse
• Treys925
• anuradhawick
• TahiriNadia
• cthoyt

Note

I apologise to the above reviewers if I made a mistake in suggesting them and it is not-relevant to what they do!

[simonprovost]

Reference check @ by authors (@simonprovost)

All good ✅.

[simonprovost]

Questions for prospective reviewers

• The word count for paper.md is 1295. –– We had an internal discussion with my professor (Prof. Alex Freitas) about how we needed the two hundred extra characters for terminology and credits. Can we go above the 1,000 limit if it is reasonable, or is it strictly 1k and needs to be updated? If so, what are your suggestions?

• The paper's author list includes Prof. Alex Freitas. Prof. Alex Freitas did not directly contribute to the code aspect directly but rather indirectly. Its design, architecture, and the majority of the primitives are the result of his main supervision with previous and current researchers (including myself). This will be a paper for my Ph.D. and thus cannot be done without my supervisor. Is this going to be problematic?

I would like to thank you very much my prospective reviewers for your valuable time with all of that! I cannot wait to hear from any of you!

Cheers,