Integrate scripts #7
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PR Type: Enhancement
PR Summary: This pull request introduces scripts for finding concepts in a model using Layer-wise Relevance Propagation (LRP) and a dataset of boards. It adds two main files: find_concepts.py and helpers.py under the src/lczerolens/xai directory. The find_concepts.py script is designed to identify and analyze concepts within a given model using a specific dataset, leveraging the LRP technique for interpretability. The helpers.py file provides support functionalities such as a dynamic sampler for data loading and a modified feature visualization class to aid in the analysis and visualization of the identified concepts.
Decision: Comment
📝 Type: 'Enhancement' - not supported yet.
- Sourcery currently only approves 'Typo fix' PRs.
✅ Issue addressed: this change correctly addresses the issue or implements the desired feature.
No details provided.
📝 Complexity: the changes are too large or complex for Sourcery to approve.
- Unsupported files: the diff contains files that Sourcery does not currently support during reviews.
General suggestions:
- Ensure that all new classes and methods have comprehensive docstrings to improve code readability and maintainability.
- Consider implementing error handling and validation checks where assumptions about the input or the state of the system are made, to enhance the robustness of the scripts.
- It might be beneficial to include unit tests for the new functionalities introduced in this pull request to ensure their correctness and prevent future regressions.
- Review the use of type hints throughout the new code to ensure consistency and clarity, particularly in method signatures.
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| class DynamicSampler(Sampler[int]): |
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suggestion (llm): The DynamicSampler class is a good addition for flexibility in sampling indices. However, consider adding type hints for the set_indices method to maintain consistency and clarity in the codebase.
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