Push results as soon as they are computed in evaluations
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- Python
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Description
For a future PR: we should push the results as soon as we obtain them (within the evaluate function), in case the evaluation fails at some point. Ohterwise we can lose all computations
Originally posted by @PierreGtch in https://github.com/NeuroTechX/moabb/pull/769#discussion_r2079127749
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 evaluate function and tracing how evaluation results are collected and pushed. The change is complete when each result is pushed as soon as it is obtained and results already computed are retained if a later evaluation fails; identify the relevant existing evaluation tests before making changes.
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
- Needs clarification
- Newbie friendliness
- 35/100