Explains DIETClassifier model predictions in Rasa chatbot framework.
Project description
DIME XAI 0.0.4a13 Pre-release 👽
Pre-release of DIME (Dual Interpretable Model-agnostic Explanations) mainly aimed at Explaining DIET Classifiers in RASA 2.8.X. Models.
Features 🦄
- Explain RASA DIET Classifiers using feature importance
- Generate dual feature importance scores
- No Surrogate models, thus efficient
- Total confidence drop as the feature importance score
- Explain both local and REST models
- Easy to use DIME CLI
- GUI with a dedicated server on-demand
- Generate, Store, Download, Upload, Peak DIME explanations. Read more on docs
- Full Unicode support
What's Cooking? 🍪
- DIME for Jupyter Notebooks
- Stopwords List Generation
- DIME Example Notebooks
- DIME for non-DIET text classification models
Limitations and Known Issues 🤏🏽
- Global Importance is disabled for REST models due to performance bottlenecks
- Explaining RASA models locally on Notebooks such as CoLab is not supported yet due to dependency issues
- Benchmark tests are in progress
📒 Docs: https://dime-xai.github.io
📦 PyPi: https://pypi.org/project/dime-xai/0.0.4a13/
🪵 Full Changelog: Refer the relevant GitHub branch
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