DIME (Dual Interpretable Model-agnostic Explanations) is mainly aimed at Explaining DIET Classifiers in RASA 2.8.X. Models.
Features 🦄
- Explains RASA DIET Classifiers using feature importance
- Generates dual feature importance scores (Global FI + Local FI)
- Efficient
- Total confidence drop as the feature importance score
- Able to explain both local and REST Rasa models
- Easy to use DIME CLI
- GUI with a dedicated server on-demand
- Generate, Store, Download, Upload, Peak DIME explanations. Read more on docs
- Supports Sinhalese unicode / fully Sinhala-English code-switchable
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/1.2.1/
🪵 Full Changelog: https://github.com/DIME-XAI/dime-xai/blob/main/CHANGELOG.md
Release files for dime-xai 1.2.1
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| dime_xai-1.2.1.tar.gz | 20.3 MB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| dime_xai-1.2.1-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 40.7 MB
Release files / dime_xai-1.2.1.tar.gz
| Download URL | dime_xai-1.2.1.tar.gz |
|---|---|
| Size | 20.3 MB |
| Tags | Source |
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No |
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twine/4.0.1 CPython/3.8.13
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Release files / dime_xai-1.2.1-py3-none-any.whl
| Download URL | dime_xai-1.2.1-py3-none-any.whl |
|---|---|
| Size | 20.3 MB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/4.0.1 CPython/3.8.13
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