Add LHD option to simulate_data function
Open
Nobody has claimed this yet.
- Dominant language
- Python
- Stars
- 6
- Forks
- 2
- Avg merge
- 20m
- Merged PRs (30d)
- 2
Description
The `simulate_data` function in the repo currently samples inputs from a uniform distribution over the input space. We should add an option to sample inputs using a latin hypercube design (LHD).
Contributor guide
No contributing guide indexed for this repository
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
Locate the `simulate_data` function and read how it currently samples from the uniform input space. Add an option for Latin hypercube design sampling while preserving the existing behavior as the default. Done means callers can select LHD sampling and existing uniform sampling still works; no test file is named in the issue.
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
- Mostly clear
- Newbie friendliness
- 45/100