EthicML
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Package for evaluating the performance of methods which aim to increase fairness, accountability and/or transparency
Bumps [pandas](https://github.com/pandas-dev/pandas) from 2.1.4 to 2.2.2. Release notes Sourced from pandas's releases. Pandas 2.2.2 We are pleased to announce the release of pandas 2.2.2. This release includes some new features,...
Oliver: > I feel as though implementing zhang’s mitigating unwanted bias by Adversarial learning algorithm is possible to implement in a way that doesn’t suck. In his original paper he...
We already have a dataset with non-binary target (NonBinaryToy) and several with non-binary groups (for example adult with race), but AFAIK no dataset with both.
current output ``` [Parallel(n_jobs=1)]: Using backend SequentialBackend with 1 concurrent workers. [Parallel(n_jobs=1)]: Done 1 out of 1 | elapsed: 4.0s remaining: 0.0s [Parallel(n_jobs=1)]: Done 2 out of 2 | elapsed:...
This is a prerequisite for using the tmpdir fixture in the tests
the label binarizer class takes a dataset with 2 labels that are not binary, and maps the min value to 0, and the max value to 1. It stores these...
## Remove the lowercase aliases for the dataset classes - [x] `adult()` -> *deleted* - [x] `compas()` -> *deleted* ## Algorithm renames - [x] `Kamiran` -> `Reweighting` – done in...
`EthicML` is a strange naming strategy. `ethicml` would be more consistent with other packages
This library REALLY needs a calibration score.