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Although spike trains are filled, I get the following warnings:
WARNING - Feature: mean_cv only yields results for 0/10 parameter combinations.
WARNING - Uncertainty quantification is not performed for feature: mean_cv due too not all parameter combinations giving a result. Set allow_incomplete=True to calculate the uncertainties anyway.
WARNING - Feature: corrcoef only yields results for 0/10 parameter combinations.
WARNING - Uncertainty quantification is not performed for feature: corrcoef due too not all parameter combinations giving a result. Set allow_incomplete=True to calculate the uncertainties anyway.
WARNING - Feature: cv only yields results for 0/10 parameter combinations.
so, some features are not computed at all
The text was updated successfully, but these errors were encountered:
I am not able to reproduce this exact problem, but v0.9.3 contain proper handling of model.ignore, so the problem might have been disappeared. Please just reopen if you still experience this problem.
Although spike trains are filled, I get the following warnings:
WARNING - Feature: mean_cv only yields results for 0/10 parameter combinations.
WARNING - Uncertainty quantification is not performed for feature: mean_cv due too not all parameter combinations giving a result. Set allow_incomplete=True to calculate the uncertainties anyway.
WARNING - Feature: corrcoef only yields results for 0/10 parameter combinations.
WARNING - Uncertainty quantification is not performed for feature: corrcoef due too not all parameter combinations giving a result. Set allow_incomplete=True to calculate the uncertainties anyway.
WARNING - Feature: cv only yields results for 0/10 parameter combinations.
so, some features are not computed at all
The text was updated successfully, but these errors were encountered: