Comments (3)
yes, it's all of the logic in this npm package:
do you mean specifically using the typescript code or just seeing only the tree? You can use the ErrorAnalysisDashboard just on its own. See docs:
https://github.com/microsoft/responsible-ai-toolbox/blob/main/docs/erroranalysis-dashboard-README.md
and notebooks here:
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Thanks! I mean specifically using the tree visualization component, not the whole dashboard. The logic in the npm package should help.
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If you want to refactor out the component/UI code any contributions are welcome. If you would like to even move some parts to its own npm package that would be great as well. It sounds like you want to go deep into the UX code and even re-use some of the typescript code in this repo for your visualizations.
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Related Issues (20)
- ResponsibleAIDashboard CORS origin issue
- Support for bias/unfairness mitigation for multiclass classification problems HOT 1
- fairness-interpretability-dashboard-income-prediction.ipynb / from raiwidgets import ExplanationDashboard command --> TypeError: init() got an unexpected keyword argument 'unbound_message' HOT 2
- Not able to build Numba and LLVM wheel for raiwidgets HOT 5
- Make responsible ai dashboard work with Databricks HOT 1
- Installation Error. HOT 4
- Widget is not displaying in localhost HOT 1
- Tree Map not working in error analysis HOT 5
- ImportError: numpy.core.multiarray failed to import HOT 1
- Flask Issue HOT 5
- RAIVisionInsights to accept torch Datasets HOT 1
- Examples links broken HOT 1
- erroranalysis conda feedstock - requirements-object-detection.txt not found
- nlp-feature-extractors pypi source does not include requirements.txt and LICENSE - needed for conda feedstock
- responsibleai-text pypi source does not include requirements.txt and LICENSE - needed for conda feedstock
- Bug report HOT 1
- not able to install raiwidgets
- Feature enhancements and bug fixes for generative text task
- Tree Visualisation not working HOT 3
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