Adding SGT and S2GT models
Nobody has claimed this yet.
Assessment
- Difficulty
- 5/5
- Estimated time
- Over a week
- Newbie friendliness
- 25/100
- Issue type
- Feature
- Clarity
- Needs clarification
- Activity status
- Stale
- Tech stack
- python
- Domain
- machine-learning
Research direction
The issue requests SGT and S2GT models based on their availability in Rlgt, but names no files, tests, or entry points. Start by locating the existing LGT and DLT model implementations and understanding how models are exposed; done means Orbit supports both requested models for seasonal-pattern forecasting.
Written by the indexing model from the issue text.
Description
LGT and DLT working good and i saw SGT and S2GT model from Rlgt especially for seasonal pattern finding when i implemented in R they also working good please add these 2 models :)
- Dominant language
- Python
- Stars
- 2.1k
- Forks
- 147
- PR merge metrics
- No merged PRs in 30d
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.
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