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Contribution Guide #5

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jejjohnson opened this issue Oct 24, 2019 · 4 comments
Closed

Contribution Guide #5

jejjohnson opened this issue Oct 24, 2019 · 4 comments

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@jejjohnson
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Hello!

First of all, I really like this package you've created! It's a really nice stepping stone into the world of Bayesian NN without the need for a lot of boilerplate code.

But, I was wondering if you had a priority list potential contributions? Also perhaps a schematic of what type of things should be added or what things are out of the scope of this package?

Thanks,
Emmanuel

@jejjohnson
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Nevermind, I found your list in the backlog section!

Closing.

@brendanhasz
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Hi! Thanks, glad you like the package! Yep, the priority list is in the backlog section, though I could add a list of things which are out-of-scope, or maybe a contributing guide, or a schematic, if you'd still find any of those useful.

Cheers,

Brendan

@jejjohnson
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I think it would find it useful for potential devs to at least know what's out of the scope.

Thanks again!

@brendanhasz
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Added an out-of-scope section to the backlog page, thanks for the idea!

Unfortunately, I included Gaussian Processes in that list (and it appears you've done a lot of work with GPs - so, sorry! haha) since I found it a bit hard to figure out how to fit nonparametric models into the ProbFlow framework (e.g., the probflow.model.predict interface would have to change, and all the methods which depend on it, since you'd need both the x and y training data as well as the x test data). For more info on that see #7

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