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[PRE REVIEW]: shapfs: A Python package for feature selection by shapley value #5398
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@JianyangHu – can you confirm that this repository (https://github.com/JianyangHu/shapfs) contains all of the source code associated with your submission? It looks to be very small (and well below our lower limit) but I wanted to check with you first. |
@arfon - Yes, because the shapfs package is based on the shap package and some existing packages, it does not need a lot of code to calculate the SHAP value, so it looks very small, but the focus of the package reflects a logic of variable selection based on the SHAP value, from this aspect, although the package is small, it is also very convenient to use. |
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I'm afraid this means that this submission is not in scope for JOSS as it doesn't meet our substantial scholarly effort criterion. One possible alternative to JOSS is to follow GitHub's guide on how to create a permanent archive and DOI for your software. This DOI can then be used by others to cite your work. |
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Five most similar historical JOSS papers: MOAFS: A Massive Online Analysis library for feature selection in data streams RENT: A Python Package for Repeated Elastic Net Feature Selection pysr3: A Python Package for Sparse Relaxed Regularized Regression Autorank: A Python package for automated ranking of classifiers Simulation Decomposition in Python |
Submitting author: @JianyangHu (Jianyang Hu)
Repository: https://github.com/JianyangHu/shapfs
Branch with paper.md (empty if default branch): main
Version: 0.0.1
Editor: Pending
Reviewers: Pending
Managing EiC: Arfon Smith
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