store PCA results
Open
Nobody has claimed this yet.
enhancement
- Dominant language
- Python
- Stars
- 3
- Forks
- 0
- PR merge metrics
- No merged PRs in 30d
Description
- Store the samples forming the basis for a principal component analysis
- Store the first 10 coefficients for a pulldown result for a basis
- Plot pulldown results on demand
Contributor guide
No contributing guide indexed for this repository
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
No files, tests, or entry points are named. Start by locating the existing principal-component-analysis and pulldown-result handling, then determine how samples and coefficients are represented; done means those results can be stored and pulldown results can be plotted on demand.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- python
- Domain
- data, machine-learning
- Issue type
- Feature
- Difficulty
- 5/5
- Estimated time
- Over a week
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 25/100