lmcinnes / lmcinnes/umap

RuntimeWarning: overflow

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Dominant language
Python
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Description

I get this warning on a dataset:

umap_.py:154: RuntimeWarning: overflow encountered in int_scalars
self.init

Is it something that you can check without the dataset or do you need it?

Contributor guide

Open the contributing guide

Research direction

Start at umap_.py:154 and investigate the RuntimeWarning: overflow encountered in int_scalars reported during dataset processing. First determine whether the warning can be reproduced without the original dataset; done means identifying the triggering input or confirming the required dataset is unavailable and documenting the outcome.

Written by the indexing model from the issue text.

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
25/100

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