When we train a machine learning model, we want the model to learn or uncover patterns. We focus on how accurately a model can make predictions and try to reduce the error rate of the model. However,...
Updated Mar 14, 2023
Version 2.0
Blog Post
10 MIN READ
How to train a machine learning model to be analyzed for issues with Responsible AI (Part 2)
Hi Team, I am getting below error..
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 predictWarnings (2)
Warning