FireDynamics / FireDynamics/propti
Tutorial for multiple sets of target data
Open
low-priority
- Dominant language
- Python
- Stars
- 17
- Forks
- 127
- PR merge metrics
- No merged PRs in 30d
Description
In GitLab by @hehnen1 on Nov 20, 2017, 15:57
Write a tutorial on how to deal with multiple experimental data sets that are supposed to be used as target for the optimisation algorithm.
Contributor guide
No contributing guide indexed for this repository
Research direction
The issue names no files, tests, or entry points. Start by locating the existing tutorial documentation and the handling of multiple experimental target data sets, then produce a runnable tutorial showing how to configure them for the optimisation algorithm and how to verify the result.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- python
- Domain
- documentation
- Issue type
- Documentation
- Difficulty
- 4/5
- Estimated time
- 3-5 days
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 35/100