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Alibi is a Python library aimed at machine learning model inspection and interpretation. The focus of the library is to provide high-quality implementations of black-box, white-box, local and global explanation methods for classification and regression models.
Features
- Counterfactuals with Reinforcement Learning
- Integrated Gradients
- Documentation available
- Examples available
- Partial Dependence Variance
- Similarity explanations
Project Samples
Categories
Machine Learning, Reinforcement Learning Frameworks, Reinforcement Learning Libraries, Reinforcement Learning AlgorithmsLicense
MIT LicenseFollow Alibi Explain
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