In the last tutorial, we trained a model, to predict diabetes patient hospital readmission, that we will be using to analyze and identify issues from the Azure Machine Learning’s Responsible AI dashb...
Updated Mar 13, 2023
Version 1.0
Blog Post
I need help, can you help me with resolving this error. Not sure what i am missing.
I am not able to submit the pipeline, rest all it worked as expected.
# submit pipeline
insights_job = submit_and_wait(ml_client, insights_pipeline_job)
Execution failed. User process 'python' exited with status code 1. Please check log file 'user_logs/std_log.txt' for error details. Error: Traceback (most recent call last): File "create_rai_insights.py", line 240, in <module> main(args) File "/azureml-envs/responsibleai/lib/python3.8/site-packages/azureml/rai/utils/telemetry/loggerfactory.py", line 153, in wrapper return func(*args, **kwargs) File "create_rai_insights.py", line 199, in main _ = RAIInsights( File "/azureml-envs/responsibleai/lib/python3.8/site-packages/responsibleai/rai_insights/rai_insights.py", line 220, in __init__ self._validate_rai_insights_input_parameters( File "/azureml-envs/responsibleai/lib/python3.8/site-packages/responsibleai/rai_insights/rai_insights.py", line 626, in _validate_rai_insights_input_parameters self._ensure_model_outputs(input_data=actual_train_data) File "/azureml-envs/responsibleai/lib/python3.8/site-packages/responsibleai/rai_insights/rai_insights.py", line 1205, in _ensure_model_outputs raise UserConfigValidationException( raiutils.exceptions.UserConfigValidationException: The passed model cannot be used for getting predictions via predict