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Debiaser for Multiple Variables(DEMV) is a pre-processing algorithm for binary and multi-class datasets that mitigates bias by perfectly balancing the sensitive groups identified by each possible sensitive variables' value and each label's value
pip install demv
PyPI declares 4 unique dependency rules for this release. Environment markers are shown when supplied by the project.
demv publishes 1 wheel and 1 source archive for version 1.0.2. Wheel platform tags: any.
No version-specific Python classifiers are declared.
PyPI lists 3 releases with files. The first dated release is ; 3 releases fall within the 365 days preceding the latest dated release. The current release files were uploaded on . The preceding dated release was .