A library that incorporates state-of-the-art explainers for text-based machine learning models and visualizes the result with a built-in dashboard.
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Updated
Feb 5, 2024 - Python
A library that incorporates state-of-the-art explainers for text-based machine learning models and visualizes the result with a built-in dashboard.
SLISEMAP: Combining supervised dimensionality reduction with local explanations
Local Universal Rule-based Explanations
Robust regression algorithm that can be used for explaining black box models (Python implementation)
Code for paper "XPROAX - Local explanations for text classification with progressive neighborhood approximation", DSAA 2021 (https://ieeexplore.ieee.org/abstract/document/9564153). Repository maintained by Yi Cai.
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