scikit-learn / scikit-learn/scikit-learn
Proposal: Indices for Clustering.
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- Dominant language
- Python
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Description
I have implemented cluster validation indices both internal and external Indices as part of my package.
I have 40 such indices which are tested and packaged as such into a Package called CRAVED. I would like to merge these indices as a part of SKlearns metrics for Clustering. Please let me how i can get started with this.
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
Review the CRAVED package linked in the issue and the existing clustering metrics area of scikit-learn. First determine which of the proposed internal and external indices fit the project's scope and API conventions. Done would require an agreed subset and contribution plan before implementation; the issue names no files or tests.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- python
- Domain
- machine-learning
- Issue type
- Feature
- Difficulty
- 5/5
- Estimated time
- Over a week
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 20/100