Trusted-AI / Trusted-AI/AIX360
Faithfulness metric on imags explanations
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Nobody has claimed this yet.
- Dominant language
- Python
- Stars
- 1.8k
- Forks
- 327
- Avg merge
- 1h 13m
- Merged PRs (30d)
- 1
Description
Can the faithfulness metric can be used as a metric for explanations obtained using LIME or SHAP.
Contributor guide
First steps
- Read the whole issue, then the project's contributing guide.
- Comment on the issue to say you are picking it up — it saves two people doing the same work.
- Fork the repository and make your change on a branch.
- Open a pull request that references the issue number.
Research direction
Start by reviewing the existing faithfulness metric and how LIME and SHAP explanations are represented in the project. Define whether the metric applies to both explanation methods, identify the expected behavior, and add coverage demonstrating the supported cases.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- python
- Domain
- machine-learning
- Issue type
- Feature
- Difficulty
- 5/5
- Estimated time
- Over a week
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 25/100