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[REVIEW]: modelDown: automated website generator with interpretable documentation for predictive machine learning models #1444

Closed whedon closed 5 years ago

whedon commented 5 years ago

Submitting author: @matiszak (Mateusz Urbański) Repository: https://github.com/MI2DataLab/modelDown Version: v1.0.1 Editor: @alexhanna Reviewer: @terrytangyuan, @pdwaggoner Archive: 10.5281/zenodo.3247303

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status

Status badge code:

HTML: <a href="http://joss.theoj.org/papers/d8c6609e293913021f03e2bb0ef759a1"><img src="http://joss.theoj.org/papers/d8c6609e293913021f03e2bb0ef759a1/status.svg"></a>
Markdown: [![status](http://joss.theoj.org/papers/d8c6609e293913021f03e2bb0ef759a1/status.svg)](http://joss.theoj.org/papers/d8c6609e293913021f03e2bb0ef759a1)

Reviewers and authors:

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Review checklist for @terrytangyuan

Conflict of interest

Code of Conduct

General checks

Functionality

Documentation

Software paper

Review checklist for @pdwaggoner

Conflict of interest

Code of Conduct

General checks

Functionality

Documentation

Software paper

whedon commented 5 years ago

:tada::tada::tada: Congratulations on your paper acceptance! :tada::tada::tada:

If you would like to include a link to your paper from your README use the following code snippets:

Markdown:
[![DOI](http://joss.theoj.org/papers/10.21105/joss.01444/status.svg)](https://doi.org/10.21105/joss.01444)

HTML:
<a style="border-width:0" href="https://doi.org/10.21105/joss.01444">
  <img src="http://joss.theoj.org/papers/10.21105/joss.01444/status.svg" alt="DOI badge" >
</a>

reStructuredText:
.. image:: http://joss.theoj.org/papers/10.21105/joss.01444/status.svg
   :target: https://doi.org/10.21105/joss.01444

This is how it will look in your documentation:

DOI

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