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I'm getting below error for one of the experiments while running the aimlflow sync command with mlfow tracking uri for remote Mlflow. The sync fails and the remaning runs and experiments are not synced.
It would be helpful to skip over that run/experiment whose one of the runs/experiments has some value which is not handled, and still carry on with syncing the rest of the runs/experiments.
This is the error:
File "/usr/local/lib/python3.9/site-packages/aim/storage/treeutils_non_native.py", line 29, in convert_to_native_object
raise TypeError(f'Unhandled non-native value {obj} of type {type(obj)}.')
TypeError: Unhandled non-native value {'sex', 'self_reported_ethnicity', 'geneformer', 'scvi', 'tissue', 'assay', 'development_stage', 'disease', 'cell_type', 'scgpt'} of type <class 'set'>.
The text was updated successfully, but these errors were encountered:
I'm getting below error for one of the experiments while running the aimlflow sync command with mlfow tracking uri for remote Mlflow. The sync fails and the remaning runs and experiments are not synced.
It would be helpful to skip over that run/experiment whose one of the runs/experiments has some value which is not handled, and still carry on with syncing the rest of the runs/experiments.
This is the error:
File "/usr/local/lib/python3.9/site-packages/aim/storage/treeutils_non_native.py", line 29, in convert_to_native_object
raise TypeError(f'Unhandled non-native value
{obj}
of type{type(obj)}
.')TypeError: Unhandled non-native value
{'sex', 'self_reported_ethnicity', 'geneformer', 'scvi', 'tissue', 'assay', 'development_stage', 'disease', 'cell_type', 'scgpt'}
of type<class 'set'>
.The text was updated successfully, but these errors were encountered: