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TensorFlow Model Remediation Library for addressing concerns in machine learning models.
The library contains a collection of techniques for addressing a wide range of concerns.
Current TensorFlow Model Remediation techniques:
- MinDiff: Reduces performance gaps between example subgroups.
- Counterfactual: Reduces the difference between two similar pairs.
Other Documentation:
Modules
counterfactual module: API for Counterfactual integration.
min_diff module: API for MinDiff integration.
Other Members | |
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| version |
'0.1.7.1'
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View source on GitHub