Related Issues (20)
- add post-processing for individual fairness
- improve `fit` interface for logistic regression metric
- add open in colab button to jupyter notebooks
- add individually fair ranking algo to the package
- switch from google colab to binder for demo notebooks
- travis builds terminating HOT 1
- add ranking auditor capability to use loss ratio
- expose API to sample from a trained ranking neural net, both maximum likelihood and plackett-luce sampling.
- lr_factor in the ranking algorithm should work stably, should explore their values before using the current heuristic.
- check if we can use the code from a PR in pytorch HOT 2
- explore pytorch optimal transport package HOT 1
- Post-processing coordinate-descent method objectives incorrect
- Allow specifying model parameters to LogisticRegSubspaceSensitive metric
- Expose models and parameters for distance metrics
- expose parameters for all classes
- allow saving and loading inFairness models to disk
- add logistic regression models to metric state
- issue in HOT 1
- support continuous and discrete protected attributes for Logistic Regression metric
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from infairness.