* Initial template
* Updated a bit on the framework
* Revised to enable feat training
* Fixed Accuracy
* fixed mcc
* change some files for feature
* update some logics in feat eng
* update some codes
* update some codes
* Revised further to successfully completed a cycle
* Revised further
* Delete two CSVs
* fix some ci errors
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Co-authored-by: Young <afe.young@gmail.com>
Co-authored-by: Xisen-Wang <xisen_application@163.com>
* Update model_experiment.py to support basic eda
It looks into the data first before the proposal.
* Update model_experiment.py
Revised linting
* Update model_experiment.py by fixing sorting order
* Update model_experiment.py for black linting
* Update model_experiment.py
* Update model_experiment.py
* Update model_experiment.py
* Update model_experiment.py
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Co-authored-by: WinstonLiyt <104308117+WinstonLiyt@users.noreply.github.com>
* 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
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Co-authored-by: Taozhi Wang <taozhi.mark.wang@gmail.com>
Co-authored-by: Xisen-Wang <xisen_application@163.com>
* fuse all code into one commit
* remove container auto
* change remove method
* add kaggle env start
* change kaggle api
* change structure
* add crawler
* add requirements
* refeact the code
* delete mistaken codes
* merge docker settings and crawler
* add chrome install README for crawler usage
* Connect scen with Kaggle to download data
* Reformat some files to pass CI.
* fix some ci errors
* fix a ci error
* fix a ci error
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Co-authored-by: Bowen Xian <xianbowen@outlook.com>
Haoran Pan