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[PRE REVIEW]: cblearn: Comparison-based Machine Learning in Python #5896
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Five most similar historical JOSS papers: Autorank: A Python package for automated ranking of classifiers Multiple Inference: A Python package for comparing multiple parameters Efficiently Learning Relative Similarity Embeddings with Crowdsourcing bwsample: Processing Best-Worst Scaling data fieldcompare: A Python package for regression testing simulation results |
@dekuenstle - thanks for your submission to JOSS. We're currently managing a large backlog of submissions and the editor most appropriate for your area is already rather busy. For now, we will need to waitlist this paper and process it as the queue reduces. Thanks for your patience! |
@editorialbot invite @mbarzegary as editor 👋 @mbarzegary – would you be willing to edit this submission for JOSS? |
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Hi @arfon |
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Hi @haniyeka 👋 Paper: https://raw.githubusercontent.com/openjournals/joss-papers/joss.05896/joss.05896/10.21105.joss.05896.pdf |
Hi @ulf1 @sherbold @stsievert 👋 Paper: https://raw.githubusercontent.com/openjournals/joss-papers/joss.05896/joss.05896/10.21105.joss.05896.pdf |
Hi @mbarzegary, Thank you for considering me to review this submission. |
Hi @mbarzegary While I am generally available as reviewer for JOSS, my schedule is brutal for the rest of this year. If a review in the first half of January is okay, then yes, otherwise I unfortunately need to decline. |
I'd be happy to review this software. Thanks for the notification. |
Thank you @haniyeka @sherbold @stsievert @sherbold yes, a review in the first half of January is fine. |
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OK, I've started the review over in #6139. |
Submitting author: @dekuenstle (David-Elias Künstle)
Repository: https://github.com/cblearn/cblearn
Branch with paper.md (empty if default branch): joss
Version: v0.1.2
Editor: @mbarzegary
Reviewers: @haniyeka, @sherbold, @stsievert
Managing EiC: Arfon Smith
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