UMAP validation trustworthiness_vector got 0xC00000FD on window and Segmentation fault on WSL.
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Description
I have this problem when I using UMAP to reduce, my raw data with shape (250000x256) to (250000x8). I also tried to reduce to 2 dimention, but I still got the problem when I tried to calculate trustworthiness = validation.trustworthiness_vector(source=df_raw_data.to_numpy(), embedding=df_embedding.to_numpy(), max_k=30). I am wonderring that, is there any limitation in the size of dataset when applying umap validation?
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Research direction
Start at validation.trustworthiness_vector and reproduce the reported call with 250000x256 input on Windows and WSL, comparing the resulting stack overflow and segmentation fault. Determine whether the failure is an input-size limitation or an implementation bug; done means the supported behavior and a reproducible fix or clear limitation are established.
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Assessment
- Tech stack
- python
- Domain
- machine-learning
- Issue type
- Bug
- Difficulty
- 4/5
- Estimated time
- 3-5 days
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 35/100