Trusted-AI / AIF360

A comprehensive set of fairness metrics for datasets and machine learning models, explanations for these metrics, and algorithms to mitigate bias in datasets and models.
https://aif360.res.ibm.com/
Apache License 2.0
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Make notebooks in examples run out of the box using Google colab (1/5) #385

Open anupamamurthi opened 2 years ago

anupamamurthi commented 2 years ago
anupamamurthi commented 1 year ago

get inspiration from: https://github.com/Trusted-AI/AIF360/pull/396

SurekhaSuresh commented 1 year ago

Hi, I would like to work on this issue.

meghana009 commented 1 year ago

I have completed the issue on the demo_calibrated_eqodds_postprocessing.ipynb notebook.

mnagired commented 1 year ago

@meghana009, please make a PR and link this issue. thanks

vanshika2809 commented 1 year ago

Hi, I would like to work on this issue.

Pamelachristina commented 1 year ago

Hello, I would also like to work on an issue here.

mnagired commented 1 year ago

@Pamelachristina @vanshika2809 @SurekhaSuresh please note that there are only ~3~ 2 notebooks remaining in this issue.

please coordinate among yourselves and either work on them collaboratively or feel free to each tackle a different notebook

SurekhaSuresh commented 1 year ago

I'm currently working on - demo_disparate_impact_remover.ipynb

meghana009 commented 1 year ago

@meghana009, please make a PR and link this issue. thanks

Hi Manish, I've created a PR but I'm unable to link it. Can you please help me out?

https://github.com/Trusted-AI/AIF360/pull/467

mnagired commented 1 year ago

@meghana009 I can't see the PR. Could you please check if it has been raised?

meghana009 commented 1 year ago

Hi @mnagired, I did raise the PR. It is #467 but it has failed one of the CI in Python but has run successfully on all R modules.

image
SurekhaSuresh commented 1 year ago

https://github.com/Trusted-AI/AIF360/pull/479

meghana009 commented 1 year ago

467