TypeError in run_all_models.py
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Description
🐛 Bug Description
File "run_all_model.py", line 385, in
fire.Fire(ModelRunner) # run all the model
File "/home/wlh/anaconda3/envs/qlib/lib/python3.7/site-packages/fire/core.py", line 141, in Fire
component_trace = _Fire(component, args, parsed_flag_args, context, name)
File "/home/wlh/anaconda3/envs/qlib/lib/python3.7/site-packages/fire/core.py", line 471, in _Fire
target=component.name)
File "/home/wlh/anaconda3/envs/qlib/lib/python3.7/site-packages/fire/core.py", line 681, in _CallAndUpdateTrace
component = fn(*varargs, **kwargs)
File "run_all_model.py", line 40, in _return_wrapped
return function_to_decorate(*args, **kwargs)
File "run_all_model.py", line 320, in run
yaml_path = gen_yaml_file_without_seed_kwargs(yaml_path, temp_dir)
File "run_all_model.py", line 190, in gen_yaml_file_without_seed_kwargs
config = yaml.load(fp)
TypeError: load() missing 1 required positional argument: 'Loader'
To Reproduce
Steps to reproduce the behavior:
1.python run_all_model.py run 3
Expected Behavior
Screenshot

Environment
Note: User could run cd scripts && python collect_info.py all under project directory to get system information
and paste them here directly.
- Qlib version:newest
- Python version:3.7
- OS (
Windows,Linux,MacOS):linux - Commit number (optional, please provide it if you are using the dev version):
Additional Notes
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- Open a pull request that references the issue number.
Research direction
Start with run_all_model.py at gen_yaml_file_without_seed_kwargs around line 190, where the reported yaml.load error occurs. Run python run_all_model.py run 3 in the stated Python 3.7 Linux environment; done means the command no longer raises the missing Loader TypeError.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- python
- Domain
- cli, machine-learning
- Issue type
- Bug
- Difficulty
- 1/5
- Estimated time
- Under an hour
- Activity status
- Stale
- Clarity
- Clearly specified
- Newbie friendliness
- 42/100