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

Alibi Explain Screenshot 1

Project Activity

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Categories

Machine Learning, Reinforcement Learning Frameworks, Reinforcement Learning Libraries, Reinforcement Learning Algorithms

License

MIT License

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Additional Project Details

Operating Systems

Linux, Mac, Windows

Programming Language

Python

Related Categories

Python Machine Learning Software, Python Reinforcement Learning Frameworks, Python Reinforcement Learning Libraries, Python Reinforcement Learning Algorithms

Registered

2024-08-08
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