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TFMA's load_eval_result('gs://bucket/path/to/evaluator/output') on TFX 0.13 (Kubeflow 0.4.1 on GCP with KFP 0.1.19 and Python 3.5) gives the following error:
Seems like it could be related to the Stackoverflow question you linked to (thanks for the pointer!): could you try the workaround suggested there and see if it fixes things?
Do something like:
dill._dill._reverse_typemap['TupleType'] = type
before calling load_eval_result and see if that makes the error go away.
If I then add ObjectType in the same way with the reverse type map I get TypeError: type.__new__(SingleSliceSpec): SingleSliceSpec is not a subtype of type.
TFMA's
load_eval_result('gs://bucket/path/to/evaluator/output')
on TFX 0.13 (Kubeflow 0.4.1 on GCP with KFP 0.1.19 and Python 3.5) gives the following error:CMLE's Python version is also 3.5 (as it was provided as a training input).
For TFX 0.12 on the same Kubeflow cluster it works as expected. I updated TFMA's version according to the instructions.
TFDV works without any issues (in the same notebook). And it also works fine when using Airflow for local development.
Could it be related to this?
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