poloclub/telegam
TeleGam: Combining Visualization and Verbalization for Interpretable Machine Learning
This system helps machine learning practitioners understand how their models make decisions by presenting visual charts and plain-language explanations. It takes your generalized additive models (GAMs) and generates interactive displays that show you what went into a prediction. This is for data scientists, machine learning engineers, and researchers who need to explain complex model behavior.
No commits in the last 6 months.
Use this if you need to interpret why a machine learning model made a specific prediction or understand its overall behavior.
Not ideal if you are looking for a tool to train or deploy machine learning models, or if you primarily work with models other than GAMs.
Stars
8
Forks
2
Language
JavaScript
License
MIT
Last pushed
Aug 11, 2019
Commits (30d)
0
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