aai-institute / aai-institute/pyDVL

Add influence function approximation comparison

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benchmarking documentation
Dominant language
Python
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146
Forks
10
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Description

In order to get a better overview about the implemented influence function approximation methods and when to choose which, we should add a comparison page to the documentation.

The page should contain information about:

- Computational complexity
- Memory constraints
- Scalability

Contributor guide

Open the contributing guide

Research direction

Look at the existing documentation structure in the repository to understand where comparison pages are placed. Review the implemented influence function approximation methods in the codebase, likely under modules like `influence` or `approximation`. Gather details on computational complexity, memory constraints, and scalability from method docstrings or related papers. Create a new documentation page that summarizes these aspects for each method, ensuring it integrates with the existing docs.

Written by the indexing model from the issue text.

Assessment

Tech stack
python
Domain
documentation
Issue type
Documentation
Difficulty
3/5
Estimated time
1-2 days
Activity status
Stale
Clarity
Clearly specified
Newbie friendliness
55/100

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