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feat: support more models for kaggle scenario#223

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TPLin22 merged 13 commits intomainfrom
multi_model
Aug 23, 2024
Merged

feat: support more models for kaggle scenario#223
TPLin22 merged 13 commits intomainfrom
multi_model

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@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
@TPLin22 TPLin22 deleted the multi_model branch August 23, 2024 07:13
Jensen246 pushed a commit to Jensen246/RD-Agent that referenced this pull request Jun 6, 2025
* init commit for XGBoost

* fix some bugs

* CI issues

* CI issues

* CI issue

* edit prompts for kaggle scenario & fix some bugs

* Revised Prompts To Improve Performance on Model Type & Support of Random Forest

* edit prompts & modify evaluator.py to adapt to Kaggle scenario

* edit prompts

* fix some bugs

* CI issues

---------

Co-authored-by: Taozhi Wang <taozhi.mark.wang@gmail.com>
Co-authored-by: Xisen-Wang <xisen_application@163.com>
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3 participants