Summary:
In the lakehouse360 churn demo: DLT errors out when populating the
churn_prediction table with the error:
python_model = cloudpickle.load(f)
^^^^^^^^^^^^^^^^^^^
TypeError: code() argument 13 must be str, not int
Setting the TLD pipeline to current channel like resolved the issue.
Trying to run the lakehouse360 churn demo and getting this error in the churn_prediction table of the DLT pipeline:
File "/local_disk0/.ephemeral_nfs/envs/pythonEnv-59230cd2-3b21-4d60-ac2f-b7f5d3590a5b/lib/python3.11/site-packages/mlflow/pyfunc/model.py", line 533, in _load_context_model_and_signature
python_model = cloudpickle.load(f)
^^^^^^^^^^^^^^^^^^^
TypeError: code() argument 13 must be str, not int
Summary: In the lakehouse360 churn demo: DLT errors out when populating the churn_prediction table with the error: python_model = cloudpickle.load(f) ^^^^^^^^^^^^^^^^^^^ TypeError: code() argument 13 must be str, not int
Setting the TLD pipeline to current channel like resolved the issue.
here is a slack discussion regarding this: https://databricks.slack.com/archives/C02GZJSLAR0/p1726523349629669
Trying to run the lakehouse360 churn demo and getting this error in the churn_prediction table of the DLT pipeline: File "/local_disk0/.ephemeral_nfs/envs/pythonEnv-59230cd2-3b21-4d60-ac2f-b7f5d3590a5b/lib/python3.11/site-packages/mlflow/pyfunc/model.py", line 533, in _load_context_model_and_signature python_model = cloudpickle.load(f) ^^^^^^^^^^^^^^^^^^^ TypeError: code() argument 13 must be str, not int