Crisp-Unimib/MERLIN
MERLIN is a global, model-agnostic, contrastive explainer for any tabular or text classifier. It provides contrastive explanations of how the behaviour of two machine learning models differs.
When you have two machine learning models for tabular or text data and need to understand exactly how their decision-making differs, this tool helps. You provide the raw data and each model's predictions, and it outputs clear, natural language explanations of what criteria one model uses that the other doesn't, and vice-versa. This is for data scientists, machine learning engineers, or domain experts who need to compare and explain model behavior.
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Use this if you need to compare two machine learning classifiers and get specific, human-readable explanations about why they make different decisions on the same kind of data.
Not ideal if you only have one model and just need a general explanation of its behavior, or if you are comparing models on image or audio data.
Stars
19
Forks
5
Language
Python
License
MIT
Category
Last pushed
Sep 15, 2023
Commits (30d)
0
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