Skip to content
New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

feat: support more models for kaggle scenario #223

Merged
merged 13 commits into from
Aug 23, 2024
Merged

feat: support more models for kaggle scenario #223

merged 13 commits into from
Aug 23, 2024

Conversation

TPLin22
Copy link
Collaborator

@TPLin22 TPLin22 commented Aug 23, 2024

Description

support XGBoost and Random Forest for kaggle scenario, edit prompts & modify evaluator to adapt to kaggle scenario.

Motivation and Context

How Has This Been Tested?

  • Pass the test by running: pytest qlib/tests/test_all_pipeline.py under upper directory of qlib.
  • If you are adding a new feature, test on your own test scripts.

Screenshots of Test Results (if appropriate):

  1. Pipeline test:
  2. Your own tests:

Types of changes

  • Fix bugs
  • Add new feature
  • Update documentation

📚 Documentation preview 📚: https://RDAgent--223.org.readthedocs.build/en/223/

@TPLin22 TPLin22 merged commit e3a9659 into main Aug 23, 2024
6 of 7 checks passed
@TPLin22 TPLin22 deleted the multi_model branch August 23, 2024 07:13
Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment
Labels
None yet
Projects
None yet
Development

Successfully merging this pull request may close these issues.

3 participants