How can we get probabilities for all clusters in transform function?
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- Dominant language
- Python
- Stars
- 230
- Forks
- 17
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Description
Currently we only get the predicted class through `concept_model.transform()`
Can we get the predicted probabilities for each cluster or the top n clusters?
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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 reading the implementation and usage of concept_model.transform(). Determine how it currently returns the predicted class and how cluster assignments are represented. The issue is complete when transform provides a defined way to retrieve probabilities for every cluster or the top n clusters, with behavior documented and covered by relevant tests if they exist.
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Assessment
- Tech stack
- python
- Domain
- machine-learning
- Issue type
- Feature
- Difficulty
- 4/5
- Estimated time
- 3-5 days
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 35/100