[PRE REVIEW]: modelStudio: Interactive Studio with Explanations for ML Predictive Models

[whedon]

Submitting author: @hbaniecki (Hubert Baniecki)
Repository: https://github.com/ModelOriented/modelStudio
Version: v0.1.8
Editor: @terrytangyuan
Reviewers: @acolum, @expectopatronum

Author instructions

Thanks for submitting your paper to JOSS @hbaniecki. Currently, there isn't an JOSS editor assigned to your paper.

@hbaniecki if you have any suggestions for potential reviewers then please mention them here in this thread. In addition, this list of people have already agreed to review for JOSS and may be suitable for this submission.

Editor instructions

The JOSS submission bot @whedon is here to help you find and assign reviewers and start the main review. To find out what @whedon can do for you type:

@whedon commands

[whedon]

Hello human, I'm @whedon, a robot that can help you with some common editorial tasks.

For a list of things I can do to help you, just type:

@whedon commands

For example, to regenerate the paper pdf after making changes in the paper's md or bib files, type:

@whedon generate pdf

What happens now?

This submission is currently in a pre-review state which means we are waiting for an editor to be assigned and for them to find some reviewers for your submission. This may take anything between a few hours to a couple of weeks. Thanks for your patience 😸

You can help the editor by looking at this list of potential reviewers to identify individuals who might be able to review your submission (please start at the bottom of the list). Also, feel free to suggest individuals who are not on this list by mentioning their GitHub handles here.

[whedon]

Attempting PDF compilation. Reticulating splines etc...

[whedon]

👉 Check article proof 📄 👈

[kyleniemeyer]

Hi @terrytangyuan, can you edit this submission?

[terrytangyuan]

@whedon assign @terrytangyuan as editor

[whedon]

OK, the editor is @terrytangyuan

[terrytangyuan]

@hbaniecki if you have any suggestions for potential reviewers then please mention them here in this thread. In addition, this list of people have already agreed to review for JOSS and may be suitable for this submission.

[hbaniecki]

Hi @terrytangyuan, just by looking at Domains in your document i can see that @expectopatronum has written Interpretable machine learning there, which is cool.
I have also intersected all of your 723 reviewers with 481 stargazers of DALEX R package (probably more humorous, than useful). This has led me to 7 people. Some of them list R as their language and Machine Learning as their domain: @mkearney, @alexpghayes, @acolum .

[terrytangyuan]

Hi 👋 @expectopatronum @mkearney, @alexpghayes, @acolum, if you'd like to review this submission, please let us know here (we need at least two reviewers)!

[acolum]

Thanks for contacting me, and yes, I'd like to review this submission.

[expectopatronum]

I haven't worked with R for about a year now (switched jobs) but my main focus is interpretable machine learning. If you don't find anyone more suitable I'd gladly review this submission.
Off topic: Does anyone know where I can update my entry in this spreadsheet?

[alexpghayes]

I don't have the bandwidth to review at the moment, but this looks like a cool project!

[terrytangyuan]

@whedon assign @acolum as reviewer

[whedon]

OK, the reviewer is @acolum

[terrytangyuan]

@whedon add @expectopatronum as reviewer

[whedon]

OK, @expectopatronum is now a reviewer

[terrytangyuan]

Thanks everyone! @expectopatronum assigned you as reviewer as we cannot find anyone else at this moment. Your input on this submission would be very helpful. Regarding the spreadsheet, I’ll ask the team to see if there’s any way to update that.

[terrytangyuan]

@whedon start review

[whedon]

OK, I've started the review over in #1798. Feel free to close this issue now!

[terrytangyuan]

@expectopatronum You can direct any update request to the reviewers spreadsheet to @arfon.