statsmodels / statsmodels/statsmodels
KDEUnivariate reuse binned array for repeated fit
Open
Nobody has claimed this yet.
comp-nonparametric
Performance
- Dominant language
- Python
- Stars
- 11.6k
- Forks
- 3.6k
- Avg merge
- 7h 37m
- Merged PRs (30d)
- 96
Description
Currently KDEUnivariate performs the binning on each call to fit.
If we want to repeatedly fit, for example for cross-validation, then we can reuse the already binned array.
We don't have a cross-validation code yet for KDEUnivariate.
(see #887 for the case of too much caching.)
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
Start by locating KDEUnivariate.fit and the binning path it invokes, then read issue #887 for the caching tradeoff. Repeated fits should reuse an already binned array while avoiding incorrect or excessive caching; verify the behavior with the existing KDEUnivariate tests, if present.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- python
- Domain
- data
- Issue type
- Feature
- Difficulty
- 3/5
- Estimated time
- 1-2 days
- Activity status
- Stale
- Clarity
- Mostly clear
- Newbie friendliness
- 42/100