SciML / SciML/DataDrivenDiffEq.jl
Using DataDrivenDataset for DMD and SR
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- Dominant language
- Julia
- Stars
- 430
- Forks
- 58
- Avg merge
- 6h 29m
- Merged PRs (30d)
- 28
Description
How can we use Dataset problems (ContinuousDataset or DiscreteDataset) for DMD and SR? Dataset problems work well with SINDY, but I need help with DMD and SR.
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 comparing how ContinuousDataset and DiscreteDataset are used with SINDY, then investigate the corresponding DMD and SR entry points. The issue mentions no files or tests, so identify the relevant dataset and algorithm documentation before deciding what usage guidance is missing. Done means a clear, working explanation of using these dataset problems with DMD and SR.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- julia
- Domain
- data, machine-learning
- Issue type
- Documentation
- Difficulty
- 4/5
- Estimated time
- 3-5 days
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 20/100