linkedin/LiFT
The LinkedIn Fairness Toolkit (LiFT) is a Scala/Spark library that enables the measurement of fairness in large scale machine learning workflows.
This tool helps data scientists and ML engineers identify and mitigate biases in their machine learning models and training data. It takes in large-scale datasets and model scores, then evaluates fairness metrics and flags statistically significant performance differences across different user groups. The output helps ensure models are fair and perform equitably for everyone.
173 stars.
Use this if you need to measure and address fairness issues in large-scale machine learning workflows, such as those used for recommendations, search, or hiring decisions.
Not ideal if you are working with small datasets or prefer a solution that doesn't involve Spark or Scala.
Stars
173
Forks
21
Language
Scala
License
BSD-2-Clause
Category
Last pushed
Dec 19, 2025
Commits (30d)
0
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