inFairness
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IBM
PyTorch package to train and audit ML models for Individual Fairness
fixes #58 Adds a property to get trained Logistic regression models for a fitted Logistic Regression Sensitive Subspace metric. ``` metric = inFairness.distances.LogisticRegSensitiveSubspace() models = metric.logistic_regression_models ``` The `models` variable...
include default values but expose all parameters to the end users for all classes and methods.
- Logistic regression metric: model - SVD: expose subspace
- Currently, the [logistic regression sensitive subspace metric](https://github.com/IBM/inFairness/blob/main/inFairness/distances/logistic_sensitive_subspace.py#L120) initializes the logistic regression model in a fixed way. - Proposed change is to allow the user to specify custom arguments to...