AIF360
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Trusted-AI
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.
Example jupyter notebook for sklearn (https://github.com/Trusted-AI/AIF360/blob/main/examples/sklearn/demo_new_features.ipynb) throws an error during compilation because of an outdated usage of the OneHotEncoder usage. The fix needed is for parameter to be updated from...
The average-odds metric defined [here](https://aif360.readthedocs.io/en/stable/modules/generated/aif360.metrics.ClassificationMetric.html#aif360.metrics.ClassificationMetric.average_odds_difference) is listed as "A value of 0 indicates equality of odds." This doesn't seem to be true, as any pair of points on the following...
### Bias Mitigation Automation Workflow to IBM AIF 360 **Description:** This pull request adds a new feature to IBM AIF 360 by incorporating automation capabilities in notebook execution.I've created a...
`disparate_impact_remover.py` only implements one method, `fit_transform`. But [the documentation](https://aif360.readthedocs.io/en/latest/modules/generated/aif360.algorithms.preprocessing.DisparateImpactRemover.html) indicates that `fit`, `fit_predict`, `predict`, and `transform` should also be methods for this class. The class inherits these methods from the...
@hoffmansc Wrote fixes for the bugs documented in issues #531 and #532. For the issue of the hard-coded features in the `recIsValid` function (issue #531, code [here](https://github.com/Trusted-AI/AIF360/blob/7c4f172f4a81b1d14d19400e95c468aaf3134952/aif360/sklearn/detectors/facts/predicate.py#L198)), the fix currently...
Inside the `fit` method of the `FACTS` detector, the function `calc_costs` is called to calculate the costs of the recourses. But the `params` argument (which includes the `feature_weights`) is not...
In the internal `valid_ifthens` function, there are 2 points where there exist hard-coded feature names in the code, and these parts of the code fail without them. Specifically: 1. [here](https://github.com/Trusted-AI/AIF360/blob/7c4f172f4a81b1d14d19400e95c468aaf3134952/aif360/sklearn/detectors/facts/misc.py#L285),...
Bumps [jinja2](https://github.com/pallets/jinja) from 3.1.3 to 3.1.4. Release notes Sourced from jinja2's releases. 3.1.4 This is the Jinja 3.1.4 security release, which fixes security issues and bugs but does not otherwise...
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Hello, I'm from the MAMMOth project that works on multi-attribute multi-modal bias mitigation. In the course of that project we are developing _FairBench_: a library that presents building blocks that...
Hello team, Thanks for your amazing work. I am using [demo_optim_data_preproc.ipynb](https://github.com/Trusted-AI/AIF360/blob/main/examples/demo_optim_data_preproc.ipynb). I need to use my datasets. I am using pandas df to read data. Pandas df is not working...
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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.