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Every time the master will get the following error, while the workers don't
Anyone knows how to fix it?
Thanks
exception: Traceback (most recent call last):
File "/users/JIACHEN/.local/lib/python3.6/site-packages/hpbandster/core/worker.py", line 206, in start_computation
result = {'result': self.compute(*args, config_id=id, **kwargs),
File "/usr/local/lib/python3.6/dist-packages/autoPyTorch-0.0.1-py3.6.egg/autoPyTorch/core/worker.py", line 92, in compute
result = self.optimize_pipeline(config, config_id, budget, start_time)
File "/usr/local/lib/python3.6/dist-packages/autoPyTorch-0.0.1-py3.6.egg/autoPyTorch/core/worker.py", line 131, in optimize_pipeline
raise e
File "/usr/local/lib/python3.6/dist-packages/autoPyTorch-0.0.1-py3.6.egg/autoPyTorch/core/worker.py", line 125, in optimize_pipeline
refit=False, rescore=False, hyperparameter_config_id=config_id, dataset_info=self.dataset_info)
File "/usr/local/lib/python3.6/dist-packages/autoPyTorch-0.0.1-py3.6.egg/autoPyTorch/pipeline/base/pipeline.py", line 60, in fit_pipeline
return self.root.fit_traverse(**kwargs)
File "/usr/local/lib/python3.6/dist-packages/autoPyTorch-0.0.1-py3.6.egg/autoPyTorch/pipeline/base/node.py", line 110, in fit_traverse
node.fit_output = node.fit(**required_kwargs)
File "/usr/local/lib/python3.6/dist-packages/autoPyTorch-0.0.1-py3.6.egg/autoPyTorch/pipeline/nodes/cross_validation.py", line 124, in fit
X=X, Y=Y, logger=logger)
File "/usr/local/lib/python3.6/dist-packages/autoPyTorch-0.0.1-py3.6.egg/autoPyTorch/pipeline/nodes/cross_validation.py", line 288, in process_additional_results
combinators[name] = additional_results[split][name]["combinator"]
TypeError: 'int' object is not subscriptable
The text was updated successfully, but these errors were encountered:
Every time the master will get the following error, while the workers don't
Anyone knows how to fix it?
Thanks
exception: Traceback (most recent call last):
File "/users/JIACHEN/.local/lib/python3.6/site-packages/hpbandster/core/worker.py", line 206, in start_computation
result = {'result': self.compute(*args, config_id=id, **kwargs),
File "/usr/local/lib/python3.6/dist-packages/autoPyTorch-0.0.1-py3.6.egg/autoPyTorch/core/worker.py", line 92, in compute
result = self.optimize_pipeline(config, config_id, budget, start_time)
File "/usr/local/lib/python3.6/dist-packages/autoPyTorch-0.0.1-py3.6.egg/autoPyTorch/core/worker.py", line 131, in optimize_pipeline
raise e
File "/usr/local/lib/python3.6/dist-packages/autoPyTorch-0.0.1-py3.6.egg/autoPyTorch/core/worker.py", line 125, in optimize_pipeline
refit=False, rescore=False, hyperparameter_config_id=config_id, dataset_info=self.dataset_info)
File "/usr/local/lib/python3.6/dist-packages/autoPyTorch-0.0.1-py3.6.egg/autoPyTorch/pipeline/base/pipeline.py", line 60, in fit_pipeline
return self.root.fit_traverse(**kwargs)
File "/usr/local/lib/python3.6/dist-packages/autoPyTorch-0.0.1-py3.6.egg/autoPyTorch/pipeline/base/node.py", line 110, in fit_traverse
node.fit_output = node.fit(**required_kwargs)
File "/usr/local/lib/python3.6/dist-packages/autoPyTorch-0.0.1-py3.6.egg/autoPyTorch/pipeline/nodes/cross_validation.py", line 124, in fit
X=X, Y=Y, logger=logger)
File "/usr/local/lib/python3.6/dist-packages/autoPyTorch-0.0.1-py3.6.egg/autoPyTorch/pipeline/nodes/cross_validation.py", line 288, in process_additional_results
combinators[name] = additional_results[split][name]["combinator"]
TypeError: 'int' object is not subscriptable
The text was updated successfully, but these errors were encountered: