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[PRE REVIEW]: ADaPT-ML: A Data Programming Template for Machine Learning #3975
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Hi @jmschrei! Would this be a good fit for you? |
@jmschrei has been invited to edit this submission. |
I can do this but I am away from my computer for the weekend
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Thanks! |
OK, the editor is @jmschrei |
@aaronpeikert are you able to review this submission? The GitHub is mostly in Python but the tool seems to not involve programming that much. @julianpistorius are you able to review this submission? |
Looks like a great project. Judging from the first glimpse, I am comfortable enough with Python to review it. |
@whedon invite @aaronpeikert as reviewer |
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@whedon add @aaronpeikert as reviewer |
OK, @aaronpeikert is now a reviewer |
Hi @tupi, would you be able to serve as a reviewer for this submission? |
Hi @wincowgerDEV, would you b able to serve as a reviewer for this submission? |
I am able to serve as a reviewer for this submission, thanks for the invitation. |
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OK, @wincowgerDEV is now a reviewer |
Great! Let's start. |
@whedon start review |
OK, I've started the review over in #4038. |
Submitting author: @nulberry (Andrea Whittaker)
Repository: https://github.com/U-Alberta/ADaPT-ML
Version: v1.0.0
Editor: @jmschrei
Reviewers: @aaronpeikert, @wincowgerDEV
Managing EiC: Kristen Thyng
Due to the challenges of the COVID-19 pandemic, JOSS is currently operating in a "reduced service mode". You can read more about what that means in our blog post.
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