sklearn.neighbors.LocalOutlierFactor
Nobody has claimed this yet.
- Dominant language
- Jupyter Notebook
- Stars
- 19
- Forks
- 6
- PR merge metrics
- No merged PRs in 30d
Description
Per chat with @jcsg, I briefly tried the `LocalOutlierFactor` model. Posting early, will spend some more time for a detailed analysis of both the model and the results.
Per https://stackoverflow.com/a/36869611/3453958
> The NearestNeighbors class is unsupervised and can not be used for classification but only for nearest neighbor searches.
### Neighbors for an inlier (good highway)
### Neighbors for an outlier (harmful highway)
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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 reviewing the LocalOutlierFactor model and the linked Stack Overflow explanation, then inspect the attached inlier and outlier examples. Produce the promised detailed analysis of the model and results; the issue does not identify a target file, test, or concrete implementation change.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- jupyter-notebook, scikit-learn
- Domain
- machine-learning
- Issue type
- Feature
- Difficulty
- 5/5
- Estimated time
- Over a week
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 20/100