AIF360
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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.
Hello everyone I currently am struggling to install the package in R on Win10 The tests to check whether the enviroments are set up seem good to me but installing...
Hello, I'm having a problem with downloading the lawschool GPA dataset using the `fetch_lawschool_gpa` function due to an error thrown in `tempeh`'s `seaphe_datasets.py` file. ``` File "/home/robertsj/miniconda3/envs/hpobench_fairmohpo/lib/python3.9/site-packages/tempeh/datasets/seaphe_datasets.py", line 39, in...
Running the following code gives me: ```python from aif360.algorithms.preprocessing.optim_preproc_helpers.data_preproc_functions import load_preproc_data_adult # Get the dataset and split into train and test dataset_orig = load_preproc_data_adult() ``` ``` Traceback (most recent call...
Also posted as a reply under a similar issue, but as this concerns the sklearn implementation (of AdversarialDebiasing) and cloudpickle combo specifically, I thought to also open a separate issue....
- [ ] Datasets - [ ] Detectors - [ ] In-processing - [ ] Metrics - [ ] Post-processing - [ ] Pre-processing
I am trying to implement the LFR pre-processing bias mitigation in a multi-class classification dataset. The original dataset has 4 distinct classes as the target variable. Used the below code...
I see that for Generalized entropy index (GOI),there is a metric that calculates GOI between combinations of all groups for protected attributes. As seen in: between_all_groups_generalized_entropy_index() I'm working on a...
How to use the Post processing bias mitigation methods such as ```Reject Option Classification``` ,```Calibrated Equalized Odds post processing```,```Equalized Odds post processing``` with multi-class classification dataset? In the documentation, it...
How to use PrejudiceRemover and MetaFairClassifier in-process bias mitigation algorithm with a multiclass classification dataset? Is it possible or does it only accepts BinaryLabelDataset?
I'm using the provided code to compute SPD (Statistical Parity Difference) on adult datasets. However, upon calling the function **get_spd_and_accuracy** within a loop, I've noticed that memory consumption gradually increases...
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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.