* refactor: unify qlib experiment configs, runners, and templates
* fix: use PropSetting instances instead of class attributes in qlib runners
* docs: add configurable train/valid/test time segments for fintech scenarios
* implement runtime_env func for quant
* add runtime_info code
* add runtime env information to the prompt
* format with black
* optimize get_runtime_env code
* delete unnecessary files
* some refinement
* fix fin_quant bugs
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Co-authored-by: Xu Yang <peteryang@vip.qq.com>
* fix model input shape bug and costeer_model bug
* fix a bug
* fix a bug in docker result extraction
* a system-level optimization
* add a filter of stdout
* update
* add stdout to model
* model training_hyperparameters update
* quant scenario
* update some quant settings
* llm choose action
* Thompson Sampling Bandit for action choosing
* refine both scens
* add trace messages for quant scen
* fix some bugs
* fix some bugs
* update
* update
* update
* fix
* fix
* fix
* update for merge
* fix ci
* fix some bugs
* fix ci
* fix ci
* fix ci
* fix ci
* refactor
* default qlib4rdagent local env downloading
* fix ci
* fix ci
* fix a bug
* fix ci
* fix: align all prompts on template (#908)
* use template to render all prompts
* fix CI
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Co-authored-by: Xu Yang <xuyang1@microsoft.com>
* add fin_quant in cli
* fix a bug
* fix ci
* fix some bugs
* refactor
* remove the columns in hypothesis if no value generated in this column
* fix a bug
* fix ci
* fix conda env
* add qlib gitignore
* remove existed qlib folder & install torch in qlib conda
* fix workspace ui in feedback
* align model config in coder and runner in docker or conda
* fix CI
* fix CI
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Co-authored-by: Xu Yang <peteryang@vip.qq.com>
Co-authored-by: Xu Yang <xuyang1@microsoft.com>
Linlang