超參數探索
Open
Nobody has claimed this yet.
enhancement
- Dominant language
- Python
- Stars
- 48.7k
- Forks
- 7.7k
- PR merge metrics
- No merged PRs in 30d
Description
🌟 Feature Description
可以使用 optuna，探索模型的超參數
Motivation
- Application scenario
- Related works (Papers, Github repos etc.):
Optuna: A Next-generation Hyperparameter Optimization Framework
- Any other relevant and important information:
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
Start by reading the Optuna documentation and the linked Optuna paper to understand the proposed hyperparameter exploration capability. The issue names no Qlib files, entry points, tests, or acceptance criteria, so first identify where model configuration and training are handled. Done should include an agreed integration scope and a validated way to explore model hyperparameters.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- machine-learning, python
- Domain
- machine-learning
- Issue type
- Feature
- Difficulty
- 5/5
- Estimated time
- Over a week
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 25/100