Hyper tunning Prophet model for time series forecasting
Nobody has claimed this yet.
Assessment
- Difficulty
- 4/5
- Estimated time
- 3-5 days
- Newbie friendliness
- 25/100
- Issue type
- Documentation
- Clarity
- Needs clarification
- Activity status
- Stale
- Tech stack
- jupyter-notebook, python
- Domain
- data, machine-learning
Research direction
The issue does not name a notebook, file, test, or entry point. First clarify which Prophet example and hyperparameter-tuning workflow is expected, then define the example's inputs, evaluation method, and completion criteria before implementation.
Written by the indexing model from the issue text.
Description
Hello,
How can we use hyper tunning to optimize Prophet model for time series forecasting ?
An example would be great!
Thanks
- Dominant language
- Jupyter Notebook
- Stars
- 4.4k
- Forks
- 2.6k
- PR merge metrics
- No merged PRs in 30d
Contributor guide
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