Add parallel process for CrossSubjectEvaluation
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enhancement
help wanted
moabb
- Dominant language
- Python
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Description
The work started in #364 introduced a n_jobs_evaluation in evaluation for WithinSession and CrossSession. We should do the same for CrossSubject to maintain consistency in all evaluation.
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 implementation from #364 and locate CrossSubjectEvaluation alongside the existing WithinSession and CrossSession evaluation paths. Compare how n_jobs_evaluation is handled there, then verify that CrossSubject supports equivalent parallel evaluation behavior and that the relevant tests pass.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- python
- Domain
- machine-learning
- Issue type
- Feature
- Difficulty
- 3/5
- Estimated time
- 1-2 days
- Activity status
- Stale
- Clarity
- Mostly clear
- Newbie friendliness
- 45/100