mmschlk/iXAI
Fast and incremental explanations for online machine learning models. Works best with the river framework.
When your machine learning model is continuously learning and making predictions on new data, this tool helps you understand why it makes certain decisions. It takes real-time data streams and your model's predictions as input, and outputs explanations showing which features are most important for each decision. This is for machine learning engineers, data scientists, or MLOps professionals who need to monitor and explain evolving models.
No commits in the last 6 months. Available on PyPI.
Use this if you need to understand the reasoning behind predictions from a machine learning model that is constantly updating and learning from new data in real-time.
Not ideal if your machine learning models are static or only updated in batches, as this tool specializes in continuous, incremental explanations.
Stars
55
Forks
4
Language
Python
License
MIT
Last pushed
Dec 26, 2024
Commits (30d)
0
Dependencies
5
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