Generating synthetic data
- Dominant language
- Python
- Stars
- 1.2k
- Forks
- 170
- PR merge metrics
- No merged PRs in 30d
Description
Apart from generating iid sequences one can do a lot of different things. Just need to pay attention to using too many external dependencies.
### Statistical models
- [ ] AR
- [ ] ARMA
- [ ] GARCH
- [ ] VAR
### Signal processing
- https://arxiv.org/abs/1909.09571
- [x] Sinusoidal waves
- [ ] Sawtooth
- [ ] Chirpwaves
- [ ] Sweep poly
- [ ] Square wave
### State space models (both discrete and continuous latent space)
- [ ] HMM
Contributor guide
No contributing guide indexed for this repository
Research direction
No files, tests, or entry points are named. Start by locating the existing iid-sequence generation and determine which statistical model, waveform, or state-space item is in scope; done would require an agreed implementation and tests for that item.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- python
- Domain
- data
- Issue type
- Feature
- Difficulty
- 5/5
- Estimated time
- Over a week
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 20/100