You signed in with another tab or window. Reload to refresh your session.You signed out in another tab or window. Reload to refresh your session.You switched accounts on another tab or window. Reload to refresh your session.Dismiss alert
when i run .\examples\benchmarks\LightGBM\workflow_config_lightgbm_multi_freq.yaml , i got error:
[9944:MainThread](2024-01-24 20:50:10,472) INFO - qlib.workflow - [recorder.py:374] - Fail to log the uncommitted code of $CWD(D:\Project\playground\quant\qlib\workflow_config_lightgbm_multi_freq) when run git diff --cached.
[9944:MainThread](2024-01-24 20:50:55,250) INFO - qlib.timer - [log.py:128] - Time cost: 41.668s | Loading data Done
[9944:MainThread](2024-01-24 20:50:55,253) INFO - qlib.timer - [log.py:128] - Time cost: 0.002s | DropnaLabel Done
D:\Anaconda\envs\py39\lib\site-packages\pyqlib-0.9.1.99-py3.9-win-amd64.egg\qlib\data\dataset\processor.py:324: SettingWithCopyWarning:
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead
See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
df[cols] = df[cols].groupby("datetime", group_keys=False).apply(self.zscore_func)
[9944:MainThread](2024-01-24 20:50:55,265) INFO - qlib.timer - [log.py:128] - Time cost: 0.012s | CSZScoreNorm Done
[9944:MainThread](2024-01-24 20:50:55,266) INFO - qlib.timer - [log.py:128] - Time cost: 0.016s | fit & process data Done
[9944:MainThread](2024-01-24 20:50:55,267) INFO - qlib.timer - [log.py:128] - Time cost: 41.685s | Init data Done
Training until validation scores don't improve for 50 rounds
[20] train's l2: 0.996655 valid's l2: 0.996655
[40] train's l2: 0.996655 valid's l2: 0.996655
Early stopping, best iteration is:
[1] train's l2: 0.996655 valid's l2: 0.996655
[9944:MainThread](2024-01-24 20:50:55,519) INFO - qlib.timer - [log.py:128] - Time cost: 0.186s | waiting async_log Done
[9944:MainThread](2024-01-24 20:50:55,522) ERROR - qlib.workflow - [utils.py:41] - An exception has been raised[KeyError: 'PRED'].
File "D:\Anaconda\envs\py39\Scripts\qrun-script.py", line 33, in
sys.exit(load_entry_point('pyqlib==0.9.1.99', 'console_scripts', 'qrun')())
File "D:\Anaconda\envs\py39\lib\site-packages\pyqlib-0.9.1.99-py3.9-win-amd64.egg\qlib\workflow\cli.py", line 72, in run
fire.Fire(workflow)
File "d:\anaconda\envs\py39\lib\site-packages\fire\core.py", line 141, in Fire
component_trace = _Fire(component, args, parsed_flag_args, context, name)
File "d:\anaconda\envs\py39\lib\site-packages\fire\core.py", line 475, in _Fire
component, remaining_args = _CallAndUpdateTrace(
File "d:\anaconda\envs\py39\lib\site-packages\fire\core.py", line 691, in _CallAndUpdateTrace
component = fn(*varargs, **kwargs)
File "D:\Anaconda\envs\py39\lib\site-packages\pyqlib-0.9.1.99-py3.9-win-amd64.egg\qlib\workflow\cli.py", line 66, in workflow
recorder = task_train(config.get("task"), experiment_name=experiment_name)
File "D:\Anaconda\envs\py39\lib\site-packages\pyqlib-0.9.1.99-py3.9-win-amd64.egg\qlib\model\trainer.py", line 127, in task_train exe_task(task_config)
File "D:\Anaconda\envs\py39\lib\site-packages\pyqlib-0.9.1.99-py3.9-win-amd64.egg\qlib\model\trainer.py", line 56, in exe_task
task_config = fill_placeholder(task_config, placehorder_value)
File "D:\Anaconda\envs\py39\lib\site-packages\pyqlib-0.9.1.99-py3.9-win-amd64.egg\qlib\utils_init.py", line 929, in fill_placeholder
now_item[key] = get_item_from_obj(config, m.groupdict()["name_path"])
File "D:\Anaconda\envs\py39\lib\site-packages\pyqlib-0.9.1.99-py3.9-win-amd64.egg\qlib\utils_init.py", line 874, in get_item_from_obj
cur_cfg = cur_cfg[k] KeyError: 'PRED'
To Reproduce
Steps to reproduce the behavior:
use command:
qrun workflow_config_lightgbm_multi_freq.yaml
I used daily data and 1min freq data downloaded with qlib GetData().
Environment
Qlib version: 0.9.1.99
Python version: py39
OS : windows 10
The text was updated successfully, but these errors were encountered:
Bug Description
when i run .\examples\benchmarks\LightGBM\workflow_config_lightgbm_multi_freq.yaml , i got error:
[9944:MainThread](2024-01-24 20:50:10,472) INFO - qlib.workflow - [recorder.py:374] - Fail to log the uncommitted code of $CWD(D:\Project\playground\quant\qlib\workflow_config_lightgbm_multi_freq) when run git diff --cached.
[9944:MainThread](2024-01-24 20:50:55,250) INFO - qlib.timer - [log.py:128] - Time cost: 41.668s | Loading data Done
[9944:MainThread](2024-01-24 20:50:55,253) INFO - qlib.timer - [log.py:128] - Time cost: 0.002s | DropnaLabel Done
D:\Anaconda\envs\py39\lib\site-packages\pyqlib-0.9.1.99-py3.9-win-amd64.egg\qlib\data\dataset\processor.py:324: SettingWithCopyWarning:
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead
See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
df[cols] = df[cols].groupby("datetime", group_keys=False).apply(self.zscore_func)
[9944:MainThread](2024-01-24 20:50:55,265) INFO - qlib.timer - [log.py:128] - Time cost: 0.012s | CSZScoreNorm Done
[9944:MainThread](2024-01-24 20:50:55,266) INFO - qlib.timer - [log.py:128] - Time cost: 0.016s | fit & process data Done
[9944:MainThread](2024-01-24 20:50:55,267) INFO - qlib.timer - [log.py:128] - Time cost: 41.685s | Init data Done
Training until validation scores don't improve for 50 rounds
[20] train's l2: 0.996655 valid's l2: 0.996655
[40] train's l2: 0.996655 valid's l2: 0.996655
Early stopping, best iteration is:
[1] train's l2: 0.996655 valid's l2: 0.996655
[9944:MainThread](2024-01-24 20:50:55,519) INFO - qlib.timer - [log.py:128] - Time cost: 0.186s | waiting
async_log
Done[9944:MainThread](2024-01-24 20:50:55,522) ERROR - qlib.workflow - [utils.py:41] - An exception has been raised[KeyError: 'PRED'].
File "D:\Anaconda\envs\py39\Scripts\qrun-script.py", line 33, in
sys.exit(load_entry_point('pyqlib==0.9.1.99', 'console_scripts', 'qrun')())
File "D:\Anaconda\envs\py39\lib\site-packages\pyqlib-0.9.1.99-py3.9-win-amd64.egg\qlib\workflow\cli.py", line 72, in run
fire.Fire(workflow)
File "d:\anaconda\envs\py39\lib\site-packages\fire\core.py", line 141, in Fire
component_trace = _Fire(component, args, parsed_flag_args, context, name)
File "d:\anaconda\envs\py39\lib\site-packages\fire\core.py", line 475, in _Fire
component, remaining_args = _CallAndUpdateTrace(
File "d:\anaconda\envs\py39\lib\site-packages\fire\core.py", line 691, in _CallAndUpdateTrace
component = fn(*varargs, **kwargs)
File "D:\Anaconda\envs\py39\lib\site-packages\pyqlib-0.9.1.99-py3.9-win-amd64.egg\qlib\workflow\cli.py", line 66, in workflow
recorder = task_train(config.get("task"), experiment_name=experiment_name)
File "D:\Anaconda\envs\py39\lib\site-packages\pyqlib-0.9.1.99-py3.9-win-amd64.egg\qlib\model\trainer.py", line 127, in task_train
exe_task(task_config)
File "D:\Anaconda\envs\py39\lib\site-packages\pyqlib-0.9.1.99-py3.9-win-amd64.egg\qlib\model\trainer.py", line 56, in exe_task
task_config = fill_placeholder(task_config, placehorder_value)
File "D:\Anaconda\envs\py39\lib\site-packages\pyqlib-0.9.1.99-py3.9-win-amd64.egg\qlib\utils_init.py", line 929, in fill_placeholder
now_item[key] = get_item_from_obj(config, m.groupdict()["name_path"])
File "D:\Anaconda\envs\py39\lib\site-packages\pyqlib-0.9.1.99-py3.9-win-amd64.egg\qlib\utils_init.py", line 874, in get_item_from_obj
cur_cfg = cur_cfg[k]
KeyError: 'PRED'
To Reproduce
Steps to reproduce the behavior:
use command:
qrun workflow_config_lightgbm_multi_freq.yaml
I used daily data and 1min freq data downloaded with qlib GetData().
Environment
The text was updated successfully, but these errors were encountered: