New plugin: Implement ideas from Fitness Landscape Footprint paper
Open
feature request
- Dominant language
- Python
- Stars
- 104
- Forks
- 15
- PR merge metrics
- No merged PRs in 30d
Description
We could implement some of the ideas presented in
[Fitness Landscape Footprint: A Framework to Compare Neural Architecture Search Problems](https://arxiv.org/abs/2111.01584)
Contributor guide
No contributing guide indexed for this repository
Research direction
Start by reading the linked Fitness Landscape Footprint paper and then locate DeepCAVE's plugin architecture. The issue does not name files, entry points, specific ideas to implement, or tests, so the expected behavior and completion criteria need to be defined before work can begin.
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