tslearn-team / tslearn-team/tslearn
Implement local feature extractors and Bag-of-Word models
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new feature
- Dominant language
- Python
- Stars
- 3.2k
- Forks
- 384
- Avg merge
- 3d 12h
- Merged PRs (30d)
- 11
Description
It would be nice to have a method such as BOSS (cf here) implemented in tslearn.
Local feature extraction step should be implemented as a TransformerMixin.
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
The issue names no repository files, tests, or entry points to begin with. Start by reviewing the linked BOSS description and the project's TransformerMixin conventions; completion would require an agreed design and implementation for local feature extraction and Bag-of-Words models.
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
- 25/100