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Running DDG-DA almost instantly results in an error:
Run with UUID fc707f91f6c44ce6b73c383dd1fa2db4 is already active. To start a new run, first end the current run with mlflow.end_run(). To start a nested run, call start_run with nested=True
To Reproduce
Steps to reproduce the behavior:
Run the script examples/DDG-DA/workflow.py
Screenshot
(base) hetankevin@MacBook-Pro-2 ddg-da % python workflow.py
2022-03-20 16:10:28.265 | WARNING | qlib.tests.data:qlib_data:150 - Data already exists: ~/.qlib/qlib_data/cn_data, the data download will be skipped
If downloading is required: exists_skip=False or change target_dir
[26784:MainThread](2022-03-20 16:10:28,266) INFO - qlib.Initialization - [config.py:402] - default_conf: client.
[26784:MainThread](2022-03-20 16:10:28,267) INFO - qlib.Initialization - [init.py:73] - qlib successfully initialized based on client settings.
[26784:MainThread](2022-03-20 16:10:28,267) INFO - qlib.Initialization - [init.py:75] - data_path={'__DEFAULT_FREQ': PosixPath('/Users/hetankevin/.qlib/qlib_data/cn_data')}
(base) hetankevin@MacBook-Pro-2 ddg-da % python workflow.py run_all
2022-03-20 16:11:06.772 | WARNING | qlib.tests.data:qlib_data:150 - Data already exists: ~/.qlib/qlib_data/cn_data, the data download will be skipped
If downloading is required: exists_skip=False or change target_dir
[26791:MainThread](2022-03-20 16:11:06,772) INFO - qlib.Initialization - [config.py:402] - default_conf: client.
[26791:MainThread](2022-03-20 16:11:06,773) INFO - qlib.Initialization - [init.py:73] - qlib successfully initialized based on client settings.
[26791:MainThread](2022-03-20 16:11:06,773) INFO - qlib.Initialization - [init.py:75] - data_path={'__DEFAULT_FREQ': PosixPath('/Users/hetankevin/.qlib/qlib_data/cn_data')}
[26791:MainThread](2022-03-20 16:11:25,954) INFO - qlib.timer - [log.py:113] - Time cost: 19.174s | Loading data Done
[26791:MainThread](2022-03-20 16:11:26,283) INFO - qlib.timer - [log.py:113] - Time cost: 0.145s | DropnaLabel Done
/Users/hetankevin/miniforge3/lib/python3.9/site-packages/pandas/core/frame.py:3641: 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
self[k1] = value[k2]
[26791:MainThread](2022-03-20 16:11:28,057) INFO - qlib.timer - [log.py:113] - Time cost: 1.774s | CSZScoreNorm Done
[26791:MainThread](2022-03-20 16:11:28,065) INFO - qlib.timer - [log.py:113] - Time cost: 2.110s | fit & process data Done
[26791:MainThread](2022-03-20 16:11:28,065) INFO - qlib.timer - [log.py:113] - Time cost: 21.285s | Init data Done
Please install necessary libs for CatBoostModel.
Training until validation scores don't improve for 50 rounds
[20] train's l2: 0.959017 valid's l2: 0.992225
[40] train's l2: 0.940128 valid's l2: 0.995036
[60] train's l2: 0.923942 valid's l2: 0.998785
Early stopping, best iteration is:
[12] train's l2: 0.968307 valid's l2: 0.991277
[26791:MainThread](2022-03-20 16:11:46,886) WARNING - qlib.workflow - [expm.py:198] - No valid experiment found. Create a new experiment with name Experiment.
[26791:MainThread](2022-03-20 16:11:46,888) INFO - qlib.workflow - [exp.py:257] - Experiment 1 starts running ...
[26791:MainThread](2022-03-20 16:11:46,947) INFO - qlib.workflow - [recorder.py:293] - Recorder a1751be3870141c4a3d12750ec7d9b6d starts running under Experiment 1 ...
[26791:MainThread](2022-03-20 16:12:06,009) INFO - qlib.timer - [log.py:113] - Time cost: 18.886s | Loading data Done
/Users/hetankevin/miniforge3/lib/python3.9/site-packages/numpy/lib/nanfunctions.py:1096: RuntimeWarning: All-NaN slice encountered
result = np.apply_along_axis(_nanmedian1d, axis, a, overwrite_input)
[26791:MainThread](2022-03-20 16:12:10,618) INFO - qlib.timer - [log.py:113] - Time cost: 4.432s | RobustZScoreNorm Done
[26791:MainThread](2022-03-20 16:12:10,764) INFO - qlib.timer - [log.py:113] - Time cost: 0.146s | Fillna Done
[26791:MainThread](2022-03-20 16:12:10,945) INFO - qlib.timer - [log.py:113] - Time cost: 0.130s | DropnaLabel Done
/Users/hetankevin/miniforge3/lib/python3.9/site-packages/pandas/core/frame.py:3641: 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
self[k1] = value[k2]
[26791:MainThread](2022-03-20 16:12:11,229) INFO - qlib.timer - [log.py:113] - Time cost: 0.283s | CSRankNorm Done
[26791:MainThread](2022-03-20 16:12:11,236) INFO - qlib.timer - [log.py:113] - Time cost: 5.226s | fit & process data Done
[26791:MainThread](2022-03-20 16:12:11,236) INFO - qlib.timer - [log.py:113] - Time cost: 24.114s | Init data Done
[26791:MainThread](2022-03-20 16:12:14,180) INFO - qlib.timer - [log.py:113] - Time cost: 0.024s | Loading data Done
[26791:MainThread](2022-03-20 16:12:14,181) INFO - qlib.timer - [log.py:113] - Time cost: 0.000s | fit & process data Done
[26791:MainThread](2022-03-20 16:12:14,181) INFO - qlib.timer - [log.py:113] - Time cost: 0.024s | Init data Done
[26791:MainThread](2022-03-20 16:12:14,531) WARNING - qlib.workflow - [expm.py:198] - No valid experiment found. Create a new experiment with name data_sim_s20.
train tasks: 0%| | 0/154 [00:00<?, ?it/s][26791:MainThread](2022-03-20 16:12:14,533) INFO - qlib.workflow - [expm.py:318] - <mlflow.tracking.client.MlflowClient object at 0x2872760d0>
[26791:MainThread](2022-03-20 16:12:14,534) INFO - qlib.workflow - [exp.py:257] - Experiment 2 starts running ...
train tasks: 0%| | 0/154 [00:00<?, ?it/s]
[26791:MainThread](2022-03-20 16:12:14,534) ERROR - qlib.workflow - [utils.py:41] - An exception has been raised[Exception: Run with UUID a1751be3870141c4a3d12750ec7d9b6d is already active. To start a new run, first end the current run with mlflow.end_run(). To start a nested run, call start_run with nested=True].
File "/Users/hetankevin/Library/CloudStorage/OneDrive-Personal/Documents/UMich/Trading/genPerms/macrohard/qlib/examples/benchmarks_dynamic/DDG-DA/workflow.py", line 261, in
fire.Fire(DDGDA)
File "/Users/hetankevin/miniforge3/lib/python3.9/site-packages/fire/core.py", line 141, in Fire
component_trace = _Fire(component, args, parsed_flag_args, context, name)
File "/Users/hetankevin/miniforge3/lib/python3.9/site-packages/fire/core.py", line 466, in _Fire
component, remaining_args = _CallAndUpdateTrace(
File "/Users/hetankevin/miniforge3/lib/python3.9/site-packages/fire/core.py", line 681, in _CallAndUpdateTrace
component = fn(*varargs, **kwargs)
File "/Users/hetankevin/Library/CloudStorage/OneDrive-Personal/Documents/UMich/Trading/genPerms/macrohard/qlib/examples/benchmarks_dynamic/DDG-DA/workflow.py", line 249, in run_all
self.dump_meta_ipt()
File "/Users/hetankevin/Library/CloudStorage/OneDrive-Personal/Documents/UMich/Trading/genPerms/macrohard/qlib/examples/benchmarks_dynamic/DDG-DA/workflow.py", line 122, in dump_meta_ipt
internal_data.setup(trainer=TrainerR)
File "/Users/hetankevin/miniforge3/lib/python3.9/site-packages/pyqlib-0.8.4.99-py3.9-macosx-11.0-arm64.egg/qlib/contrib/meta/data_selection/dataset.py", line 81, in setup
trainer.train(gen_task)
File "/Users/hetankevin/miniforge3/lib/python3.9/site-packages/pyqlib-0.8.4.99-py3.9-macosx-11.0-arm64.egg/qlib/model/trainer.py", line 248, in train
rec = train_func(task, experiment_name, **kwargs)
File "/Users/hetankevin/miniforge3/lib/python3.9/site-packages/pyqlib-0.8.4.99-py3.9-macosx-11.0-arm64.egg/qlib/model/trainer.py", line 116, in task_train
with R.start(experiment_name=experiment_name, recorder_name=recorder_name):
File "/Users/hetankevin/miniforge3/lib/python3.9/contextlib.py", line 119, in enter
return next(self.gen)
File "/Users/hetankevin/miniforge3/lib/python3.9/site-packages/pyqlib-0.8.4.99-py3.9-macosx-11.0-arm64.egg/qlib/workflow/init.py", line 69, in start
run = self.start_exp(
File "/Users/hetankevin/miniforge3/lib/python3.9/site-packages/pyqlib-0.8.4.99-py3.9-macosx-11.0-arm64.egg/qlib/workflow/init.py", line 125, in start_exp
return self.exp_manager.start_exp(
File "/Users/hetankevin/miniforge3/lib/python3.9/site-packages/pyqlib-0.8.4.99-py3.9-macosx-11.0-arm64.egg/qlib/workflow/expm.py", line 346, in start_exp
self.active_experiment.start(recorder_id=recorder_id, recorder_name=recorder_name, resume=resume)
File "/Users/hetankevin/miniforge3/lib/python3.9/site-packages/pyqlib-0.8.4.99-py3.9-macosx-11.0-arm64.egg/qlib/workflow/exp.py", line 270, in start
self.active_recorder.start_run()
File "/Users/hetankevin/miniforge3/lib/python3.9/site-packages/pyqlib-0.8.4.99-py3.9-macosx-11.0-arm64.egg/qlib/workflow/recorder.py", line 287, in start_run
run = mlflow.start_run(self.id, self.experiment_id, self.name)
File "/Users/hetankevin/miniforge3/lib/python3.9/site-packages/mlflow/tracking/fluent.py", line 226, in start_run
raise Exception(
Exception: Run with UUID a1751be3870141c4a3d12750ec7d9b6d is already active. To start a new run, first end the current run with mlflow.end_run(). To start a nested run, call start_run with nested=True
The text was updated successfully, but these errors were encountered:
🐛 Bug Description
Running DDG-DA almost instantly results in an error:
Run with UUID fc707f91f6c44ce6b73c383dd1fa2db4 is already active. To start a new run, first end the current run with mlflow.end_run(). To start a nested run, call start_run with nested=True
To Reproduce
Steps to reproduce the behavior:
Screenshot
(base) hetankevin@MacBook-Pro-2 ddg-da % python workflow.py
2022-03-20 16:10:28.265 | WARNING | qlib.tests.data:qlib_data:150 - Data already exists: ~/.qlib/qlib_data/cn_data, the data download will be skipped
If downloading is required:
exists_skip=False
orchange target_dir
[26784:MainThread](2022-03-20 16:10:28,266) INFO - qlib.Initialization - [config.py:402] - default_conf: client.
[26784:MainThread](2022-03-20 16:10:28,267) INFO - qlib.Initialization - [init.py:73] - qlib successfully initialized based on client settings.
[26784:MainThread](2022-03-20 16:10:28,267) INFO - qlib.Initialization - [init.py:75] - data_path={'__DEFAULT_FREQ': PosixPath('/Users/hetankevin/.qlib/qlib_data/cn_data')}
(base) hetankevin@MacBook-Pro-2 ddg-da % python workflow.py run_all
2022-03-20 16:11:06.772 | WARNING | qlib.tests.data:qlib_data:150 - Data already exists: ~/.qlib/qlib_data/cn_data, the data download will be skipped
If downloading is required:
exists_skip=False
orchange target_dir
[26791:MainThread](2022-03-20 16:11:06,772) INFO - qlib.Initialization - [config.py:402] - default_conf: client.
[26791:MainThread](2022-03-20 16:11:06,773) INFO - qlib.Initialization - [init.py:73] - qlib successfully initialized based on client settings.
[26791:MainThread](2022-03-20 16:11:06,773) INFO - qlib.Initialization - [init.py:75] - data_path={'__DEFAULT_FREQ': PosixPath('/Users/hetankevin/.qlib/qlib_data/cn_data')}
[26791:MainThread](2022-03-20 16:11:25,954) INFO - qlib.timer - [log.py:113] - Time cost: 19.174s | Loading data Done
[26791:MainThread](2022-03-20 16:11:26,283) INFO - qlib.timer - [log.py:113] - Time cost: 0.145s | DropnaLabel Done
/Users/hetankevin/miniforge3/lib/python3.9/site-packages/pandas/core/frame.py:3641: 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
self[k1] = value[k2]
[26791:MainThread](2022-03-20 16:11:28,057) INFO - qlib.timer - [log.py:113] - Time cost: 1.774s | CSZScoreNorm Done
[26791:MainThread](2022-03-20 16:11:28,065) INFO - qlib.timer - [log.py:113] - Time cost: 2.110s | fit & process data Done
[26791:MainThread](2022-03-20 16:11:28,065) INFO - qlib.timer - [log.py:113] - Time cost: 21.285s | Init data Done
Please install necessary libs for CatBoostModel.
Training until validation scores don't improve for 50 rounds
[20] train's l2: 0.959017 valid's l2: 0.992225
[40] train's l2: 0.940128 valid's l2: 0.995036
[60] train's l2: 0.923942 valid's l2: 0.998785
Early stopping, best iteration is:
[12] train's l2: 0.968307 valid's l2: 0.991277
[26791:MainThread](2022-03-20 16:11:46,886) WARNING - qlib.workflow - [expm.py:198] - No valid experiment found. Create a new experiment with name Experiment.
[26791:MainThread](2022-03-20 16:11:46,888) INFO - qlib.workflow - [exp.py:257] - Experiment 1 starts running ...
[26791:MainThread](2022-03-20 16:11:46,947) INFO - qlib.workflow - [recorder.py:293] - Recorder a1751be3870141c4a3d12750ec7d9b6d starts running under Experiment 1 ...
[26791:MainThread](2022-03-20 16:12:06,009) INFO - qlib.timer - [log.py:113] - Time cost: 18.886s | Loading data Done
/Users/hetankevin/miniforge3/lib/python3.9/site-packages/numpy/lib/nanfunctions.py:1096: RuntimeWarning: All-NaN slice encountered
result = np.apply_along_axis(_nanmedian1d, axis, a, overwrite_input)
[26791:MainThread](2022-03-20 16:12:10,618) INFO - qlib.timer - [log.py:113] - Time cost: 4.432s | RobustZScoreNorm Done
[26791:MainThread](2022-03-20 16:12:10,764) INFO - qlib.timer - [log.py:113] - Time cost: 0.146s | Fillna Done
[26791:MainThread](2022-03-20 16:12:10,945) INFO - qlib.timer - [log.py:113] - Time cost: 0.130s | DropnaLabel Done
/Users/hetankevin/miniforge3/lib/python3.9/site-packages/pandas/core/frame.py:3641: 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
self[k1] = value[k2]
[26791:MainThread](2022-03-20 16:12:11,229) INFO - qlib.timer - [log.py:113] - Time cost: 0.283s | CSRankNorm Done
[26791:MainThread](2022-03-20 16:12:11,236) INFO - qlib.timer - [log.py:113] - Time cost: 5.226s | fit & process data Done
[26791:MainThread](2022-03-20 16:12:11,236) INFO - qlib.timer - [log.py:113] - Time cost: 24.114s | Init data Done
[26791:MainThread](2022-03-20 16:12:14,180) INFO - qlib.timer - [log.py:113] - Time cost: 0.024s | Loading data Done
[26791:MainThread](2022-03-20 16:12:14,181) INFO - qlib.timer - [log.py:113] - Time cost: 0.000s | fit & process data Done
[26791:MainThread](2022-03-20 16:12:14,181) INFO - qlib.timer - [log.py:113] - Time cost: 0.024s | Init data Done
[26791:MainThread](2022-03-20 16:12:14,531) WARNING - qlib.workflow - [expm.py:198] - No valid experiment found. Create a new experiment with name data_sim_s20.
train tasks: 0%| | 0/154 [00:00<?, ?it/s][26791:MainThread](2022-03-20 16:12:14,533) INFO - qlib.workflow - [expm.py:318] - <mlflow.tracking.client.MlflowClient object at 0x2872760d0>
[26791:MainThread](2022-03-20 16:12:14,534) INFO - qlib.workflow - [exp.py:257] - Experiment 2 starts running ...
train tasks: 0%| | 0/154 [00:00<?, ?it/s]
[26791:MainThread](2022-03-20 16:12:14,534) ERROR - qlib.workflow - [utils.py:41] - An exception has been raised[Exception: Run with UUID a1751be3870141c4a3d12750ec7d9b6d is already active. To start a new run, first end the current run with mlflow.end_run(). To start a nested run, call start_run with nested=True].
File "/Users/hetankevin/Library/CloudStorage/OneDrive-Personal/Documents/UMich/Trading/genPerms/macrohard/qlib/examples/benchmarks_dynamic/DDG-DA/workflow.py", line 261, in
fire.Fire(DDGDA)
File "/Users/hetankevin/miniforge3/lib/python3.9/site-packages/fire/core.py", line 141, in Fire
component_trace = _Fire(component, args, parsed_flag_args, context, name)
File "/Users/hetankevin/miniforge3/lib/python3.9/site-packages/fire/core.py", line 466, in _Fire
component, remaining_args = _CallAndUpdateTrace(
File "/Users/hetankevin/miniforge3/lib/python3.9/site-packages/fire/core.py", line 681, in _CallAndUpdateTrace
component = fn(*varargs, **kwargs)
File "/Users/hetankevin/Library/CloudStorage/OneDrive-Personal/Documents/UMich/Trading/genPerms/macrohard/qlib/examples/benchmarks_dynamic/DDG-DA/workflow.py", line 249, in run_all
self.dump_meta_ipt()
File "/Users/hetankevin/Library/CloudStorage/OneDrive-Personal/Documents/UMich/Trading/genPerms/macrohard/qlib/examples/benchmarks_dynamic/DDG-DA/workflow.py", line 122, in dump_meta_ipt
internal_data.setup(trainer=TrainerR)
File "/Users/hetankevin/miniforge3/lib/python3.9/site-packages/pyqlib-0.8.4.99-py3.9-macosx-11.0-arm64.egg/qlib/contrib/meta/data_selection/dataset.py", line 81, in setup
trainer.train(gen_task)
File "/Users/hetankevin/miniforge3/lib/python3.9/site-packages/pyqlib-0.8.4.99-py3.9-macosx-11.0-arm64.egg/qlib/model/trainer.py", line 248, in train
rec = train_func(task, experiment_name, **kwargs)
File "/Users/hetankevin/miniforge3/lib/python3.9/site-packages/pyqlib-0.8.4.99-py3.9-macosx-11.0-arm64.egg/qlib/model/trainer.py", line 116, in task_train
with R.start(experiment_name=experiment_name, recorder_name=recorder_name):
File "/Users/hetankevin/miniforge3/lib/python3.9/contextlib.py", line 119, in enter
return next(self.gen)
File "/Users/hetankevin/miniforge3/lib/python3.9/site-packages/pyqlib-0.8.4.99-py3.9-macosx-11.0-arm64.egg/qlib/workflow/init.py", line 69, in start
run = self.start_exp(
File "/Users/hetankevin/miniforge3/lib/python3.9/site-packages/pyqlib-0.8.4.99-py3.9-macosx-11.0-arm64.egg/qlib/workflow/init.py", line 125, in start_exp
return self.exp_manager.start_exp(
File "/Users/hetankevin/miniforge3/lib/python3.9/site-packages/pyqlib-0.8.4.99-py3.9-macosx-11.0-arm64.egg/qlib/workflow/expm.py", line 346, in start_exp
self.active_experiment.start(recorder_id=recorder_id, recorder_name=recorder_name, resume=resume)
File "/Users/hetankevin/miniforge3/lib/python3.9/site-packages/pyqlib-0.8.4.99-py3.9-macosx-11.0-arm64.egg/qlib/workflow/exp.py", line 270, in start
self.active_recorder.start_run()
File "/Users/hetankevin/miniforge3/lib/python3.9/site-packages/pyqlib-0.8.4.99-py3.9-macosx-11.0-arm64.egg/qlib/workflow/recorder.py", line 287, in start_run
run = mlflow.start_run(self.id, self.experiment_id, self.name)
File "/Users/hetankevin/miniforge3/lib/python3.9/site-packages/mlflow/tracking/fluent.py", line 226, in start_run
raise Exception(
Exception: Run with UUID a1751be3870141c4a3d12750ec7d9b6d is already active. To start a new run, first end the current run with mlflow.end_run(). To start a nested run, call start_run with nested=True
The text was updated successfully, but these errors were encountered: