Implement a staircase generator class
Nobody has claimed this yet.
Assessment
- Difficulty
- 4/5
- Estimated time
- 3-5 days
- Newbie friendliness
- 42/100
- Issue type
- Feature
- Clarity
- Mostly clear
- Activity status
- Stale
- Domain
- machine-learning
Research direction
The issue names no file or test; start by locating existing AEPsych generator classes and the .ini configuration path. Compare the implementation with the stated 1-up-N-down rules and verify that N, step-up, and step-down are configurable.
Written by the indexing model from the issue text.
Description
AEPsych uses GPs and active learning for adaptive experimentation, but there are older adaptive psychophysics methods, including the 1-up-N-down staircase (https://en.wikipedia.org/wiki/Psychophysics#Staircase_procedures). This method is still useful for finding thresholds along single dimensions. The algorithm has 3 parameters: N, step-up size, and step-down size. After the participant makes the correct response N times, the stimulus parameter is increased by step-up size. If they make an incorrect response, the parameter is reduced by step-down size. This algorithm can be implemented using an AEPsyh generator class. All parameters should be configurable via .ini files.
- Dominant language
- HTML
- Stars
- 75
- Forks
- 57
- PR merge metrics
- No merged PRs in 30d
Getting set up
- No Dockerfile or Docker Compose file
- No pull request template
- Read the contributing 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.
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