tslearn-team / tslearn-team/tslearn
[Question] Up-sampling minority class for binary classification
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Description
Hello experts,
I have a rebalanced time series record and I wanted to sample up my minority class to do a binary classification.
Is there a way to do up sampling with tslearn?
Because in dr documentation I have not found anything.
many thanks in advance
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 tslearn documentation referenced in the question and identify whether minority-class up-sampling for binary time-series classification is supported. Done should be a clear documented answer describing the available approach or the limitation; the issue names no specific files or tests.
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Assessment
- Tech stack
- python
- Domain
- machine-learning
- Issue type
- Documentation
- Difficulty
- 4/5
- Estimated time
- 3-5 days
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 35/100