tslearn-team / tslearn-team/tslearn
LearningShapelets implementation for imbalanced dataset in the params providing class_weights and loss will be helpful
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new feature
shapelet
- Dominant language
- Python
- Stars
- 3.2k
- Forks
- 384
- Avg merge
- 3d 12h
- Merged PRs (30d)
- 11
Description
Is your feature request related to a problem? Please describe.
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Describe the solution you'd like
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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 locating the LearningShapelets implementation and its parameter handling. Review how imbalanced datasets, class_weights, and loss are currently represented, then determine the expected behavior and tests needed before considering the feature complete.
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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
- 25/100