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Add Machine Learning Interpretability #325
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Add awesome-machine-learning-interpretability
@-matheusgmaia on 2019-10-26 23:06 says: unicorn |
@-vinibeloni on 2019-10-28 01:23 says: For me, its okay. Thanks for contribution! |
@-sindresorhus on 2019-10-28 06:09 says: Thanks for making an Awesome list! 🙌 It looks like you didn't read the guidelines closely enough. I noticed multiple things that are not followed. Try going through the list point for point to ensure you follow it. I spent a lot of time creating the guidelines so I wouldn't have to comment on common mistakes, and rather spend my time improving Awesome. |
@-sindresorhus on 2019-10-28 06:10 says:
@-vinibeloni Please do a better effort when reviewing. This is very far from following the guidelines. |
@-willeastcott on 2019-10-28 22:23 says: Hi @-matheusgmaia. Here are some pointers for things you might want to address if you want your PR to be merged:
Also, consider sticking to the following format for link items: Link - Description. Often, you just have long descriptive links or links with no description. |
@-matheusgmaia on 2019-10-28 23:52 says: Thanks for the feedback. |
@-maehr on 2019-10-29 16:03 says: Hi @-matheusgmaia Thanks a lot for this list. I recommend you use awesome-lint. It points to these shortcomings of your draft.
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@-zmedelis on 2019-11-11 06:21 says: This is not explicitly in contribution guidelines but under Python section you have links to zip files
Items should link to a project/product pages with some descriptions and docs. If you need to have the above links maybe its better to point to the home page (first link 'Bayesian Case Model' case) https://users.cs.duke.edu/~cynthia/code.html at least it as a reference to an academic paper. |
@-sindresorhus on 2019-12-16 13:58 says: @-matheusgmaia Bump |
@-GustavBertram on 2020-01-06 21:30 says: @-matheusgmaia You should make a PR to fix the issues, as requested by @-jphall663 here: jphall663/awesome-machine-learning-interpretability#23 |
Pull request from @matheusgmaia.
[ boilerplate snipped ]