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bug report
Issue Description
When Issue Happens
When running test_train_pipeline_with_runtime (check test run here), I get ZeroDivisionError: float division by zero at this line.
Steps To Reproduce
Run test_train_pipeline_with_runtime on reg_cocktail, I think we see the issue there because the default configuration is different and larger than that in development.
Expected Behavior
In case the epoch is not finished and hence N==0, we should raise a warning to the user but exit the function without the error otherwise its wasted func_eval_time even if the configuration performed well.
Current Behavior
When N==0 there is an error which leads to wasted func_eval_time as well as marking a configuration as crashed when it could have been good.
Possible Solution
Check if N==0 and raise a warning rather than the error.
Error message
ZeroDivisionError: float division by zero
Your Local environment
Operating System: Ubuntu, version: 20.04
Python, version: 3.8
Outputs of pip freeze or conda list
Make sure to add all the information needed to understand the bug so that someone can help.
If the info is missing, we'll add the 'Needs more information' label and close the issue until there is enough information.
The text was updated successfully, but these errors were encountered:
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Your issue may already be reported!
Also, please search on the issue tracker before creating one.
Issue Description
When Issue Happens
When running
test_train_pipeline_with_runtime
(check test run here), I getZeroDivisionError: float division by zero
at this line.Steps To Reproduce
test_train_pipeline_with_runtime
onreg_cocktail
, I think we see the issue there because the default configuration is different and larger than that indevelopment
.Expected Behavior
In case the epoch is not finished and hence
N==0
, we should raise a warning to the user but exit the function without the error otherwise its wastedfunc_eval_time
even if the configuration performed well.Current Behavior
When
N==0
there is an error which leads to wastedfunc_eval_time
as well as marking a configuration as crashed when it could have been good.Possible Solution
Check if N==0 and raise a warning rather than the error.
Error message
Your Local environment
pip freeze
orconda list
Make sure to add all the information needed to understand the bug so that someone can help.
If the info is missing, we'll add the 'Needs more information' label and close the issue until there is enough information.
The text was updated successfully, but these errors were encountered: