Way to calculate required memory
Open
Nobody has claimed this yet.
- Dominant language
- Python
- Stars
- 8.3k
- Forks
- 871
- Avg merge
- 1d 13h
- Merged PRs (30d)
- 5
Description
I tried to use umap for a data frame of 3 million rows and a dimension of 300. Since I was running into a memory error with 32 GB of memory I wanted to find out if there is a way to calculate how much memory I need to run umap. I used low_memory=True as well as pynndescent.
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
The issue names UMAP, a 3-million-row, 300-dimensional data frame, low_memory=True, and pynndescent, but no files or tests. Start by investigating how these settings affect memory use and define whether the desired result is a documented estimate or a project capability; done should provide a validated way to estimate the required memory.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- python
- Domain
- machine-learning, performance
- Issue type
- Feature
- Difficulty
- 5/5
- Estimated time
- Over a week
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 25/100