Hi @robbe , 
I am facing following errors when creating serving endpoint for my spark pipeline 

5548dsptvc] raise self._exception
[5548dsptvc] File "/opt/conda/envs/mlflow-env/lib/python3.10/site-packages/mlflowserving/scoring_server/__init__.py", line 194, in get_model_option_or_exit
[5548dsptvc] self.model = self.model_future.result()
[5548dsptvc] File "/opt/conda/envs/mlflow-env/lib/python3.10/concurrent/futures/_base.py", line 451, in result
[5548dsptvc] return self.__get_result()
[5548dsptvc] File "/opt/conda/envs/mlflow-env/lib/python3.10/concurrent/futures/_base.py", line 403, in __get_result
[5548dsptvc] raise self._exception
[5548dsptvc] File "/opt/conda/envs/mlflow-env/lib/python3.10/site-packages/mlflowserving/scoring_server/__init__.py", line 194, in get_model_option_or_exit
[5548dsptvc] self.model = self.model_future.result()
[5548dsptvc] File "/opt/conda/envs/mlflow-env/lib/python3.10/concurrent/futures/_base.py", line 451, in result
[5548dsptvc] return self.__get_result()
[5548dsptvc] File "/opt/conda/envs/mlflow-env/lib/python3.10/concurrent/futures/_base.py", line 403, in __get_result
[5548dsptvc] raise self._exception
[5548dsptvc] File "/opt/conda/envs/mlflow-env/lib/python3.10/site-packages/mlflowserving/scoring_server/__init__.py", line 194, in get_model_option_or_exit
[5548dsptvc] self.model = self.model_future.result()
[5548dsptvc] File "/opt/conda/envs/mlflow-env/lib/python3.10/concurrent/futures/_base.py", line 451, in result
[5548dsptvc] return self.__get_result()

I have tested creating a sklearn model in my environment which is working fine, but for the spark pipeline I am unable to do so , following is my requirement file which is being logged with my model.

mlflow==2.14.1
numpy==1.21.5
pyspark==3.5.1
scipy==1.9.1
databricks-feature-lookup==0.*

databricks-feature-lookup 1.2.14 is being installed in my environment as the earlier versions has been deprecated.

Thanks,