Comments (1)
Without any further details, it's hard to be helpful. If you did not specify the timeout argument for the worker, they should not shut themselves down. Could it be that the workers crash because your compute method somehow kills the python process. HpBandSter tries to catch any exception thrown in your code, but could there be a core dump or something similar? Could you maybe check the return status of the worker process. If your run is fairly long and computations are expensive, consider running it with debug output. That will generate more information that could help me figure out what the problem might be.
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Related Issues (20)
- A bunch of errors when using categoricals
- Interferance between two BOHB instances when they have the same networking parameters? HOT 2
- Why get_incumbent_id selects the incumbent only from runs with max_budget? HOT 1
- How to stop a worker
- How to plot pictures like your work
- Support scipy 1.3+ HOT 1
- Download code button for keras example is not working
- Missing Optimizer
- Minor documentation fixes
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- Fit reinforcement learning model with hyperparameter optimization method
- Hyperband bracket generation is inconsistent with the original Hyperband paper HOT 1
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- Issue in case of warmstarting case
- Saving optimization process HOT 1
- conda package? HOT 2
- License file for conda package
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