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Description
While testing some new things, I get this error and it's got no information useful for understanding what went wrong.
/home/skantify/code/neps/neps_examples/efficiency/multi_fidelity.py:81: in <module>
neps.run(
/home/skantify/code/neps/neps/api.py:273: in run
metahyper_run(
/home/skantify/code/neps/neps/metahyper/api.py:586: in metahyper_run
post_evaluation_hook(
/home/skantify/code/neps/neps/api.py:39: in _post_evaluation_hook
loss = get_loss(result, loss_value_on_error, ignore_errors)
def get_loss(
result: str | dict | float,
loss_value_on_error: float | None = None,
ignore_errors: bool = False,
) -> float | Any:
if result == "error":
if ignore_errors:
return "error"
elif loss_value_on_error is None:
> raise ValueError(
"An error happened during the execution of your run_pipeline function."
" You have three options: 1. If the error is expected and corresponds to"
" a loss value in your application (e.g., 0% accuracy), you can set"
" loss_value_on_error to some float. 2. If sometimes your pipeline"
" crashes randomly, you can set ignore_errors=True. 3. Fix your error."
)
E ValueError: An error happened during the execution of your run_pipeline function. You have three options: 1. If the error is expected and corresponds to a loss value in your application (e.g., 0% accuracy), you can set loss_value_on_error to some float. 2. If sometimes your pipeline crashes randomly, you can set ignore_errors=True. 3. Fix your error.It did show something in the logs which is nice but I feel like these errors should get bubbled all the way up.
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