Describe the bug
When using function getSteps() of the class azureml.pipeline.core.PipelineRun, the returned object is a list of Step objects, not StepRun objects as described in the documentation.
To Reproduce
Steps to reproduce the behavior:
pipe_run = PipelineRun(experiment=exper, run_id=pipeline_runs[0].get_details()['runId']) step_run = pipe_run.find_step_run('cold_start_handling_knn_step')[0] step_run.get_output_data('recommendations_all')
Expected behavior
I expect to get a list of StepRun objects from the function find_step_run, but get a list of Run objects. Therefore, I cannot get the output using the get_outputs or get_output_data functions as those are only available for the StepRun objects.
One workaround I found is creating a StepRun instance using the id from the retrieved Step object, confirming that there were StepRuns available. It would be better if a StepRun object is directly returned.
Describe the bug When using function getSteps() of the class azureml.pipeline.core.PipelineRun, the returned object is a list of Step objects, not StepRun objects as described in the documentation.
To Reproduce Steps to reproduce the behavior:
pipe_run = PipelineRun(experiment=exper, run_id=pipeline_runs[0].get_details()['runId']) step_run = pipe_run.find_step_run('cold_start_handling_knn_step')[0] step_run.get_output_data('recommendations_all')
Expected behavior I expect to get a list of StepRun objects from the function find_step_run, but get a list of Run objects. Therefore, I cannot get the output using the get_outputs or get_output_data functions as those are only available for the StepRun objects.
Screenshots![image](https://github.com/Azure/MachineLearningNotebooks/assets/123360066/e9d5322d-ac77-435c-a853-5e8d19023b40)