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microsoft / Templates-For-Dynamics-365-Supply-Chain-Management-Demand-Forecasting-With-Azure-Machine-Learning

Samples, templates and setup guides in order to run demand forecasting in Azure Machine Learning Service and integrate with Dynamics 365 SCM
MIT License
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Getting AttributeError: '_OfflineRun' object has no attribute 'experiment' Error when running Run.py in AML Studio notebook #9

Open ruba9 opened 1 year ago

ruba9 commented 1 year ago

Hello Team,

I was trying to follow this repo, inside my AML WS and when I added the files and tried to run them, I got multiple errors:

When I run the run.py file I get: AttributeError: '_OfflineRun' object has no attribute 'experiment'

When I run the api_trigger.py file I get:

azureuser@ruaburub3:~/cloudfiles/code/Users/ruaburub$ python api_trigger.py Pipeline does not exists, creating new: TriggerDemandForecastGeneration Traceback (most recent call last): File "api_trigger.py", line 48, in pipelineEndpoint = PipelineEndpoint.publish(workspace = workspace, name = pipelineName, pipeline=pipeline, description="Initiate demand forecast generation.") File "/anaconda/envs/azureml_py38/lib/python3.8/site-packages/azureml/pipeline/core/pipeline_endpoint.py", line 323, in publish pipeline = pipeline.publish(name=pipeline_name, description="Description for " + pipeline_name) File "/anaconda/envs/azureml_py38/lib/python3.8/site-packages/azureml/pipeline/core/pipeline.py", line 309, in publish return self.graph._save(name=name, description=description, version=version, File "/anaconda/envs/azureml_py38/lib/python3.8/site-packages/azureml/pipeline/core/graph.py", line 3844, in _save self._validate_and_finalize(pipeline_parameters=None, regenerate_outputs=regenerate_outputs) File "/anaconda/envs/azureml_py38/lib/python3.8/site-packages/azureml/pipeline/core/graph.py", line 3863, in _validate_and_finalize self.finalize(dry_run=False, regenerate_outputs=regenerate_outputs) File "/anaconda/envs/azureml_py38/lib/python3.8/site-packages/azureml/pipeline/core/graph.py", line 3609, in finalize Graph._check_threadpool_exceptions(done, not_done) File "/anaconda/envs/azureml_py38/lib/python3.8/site-packages/azureml/pipeline/core/graph.py", line 3734, in _check_threadpool_exceptions raise ex File "/anaconda/envs/azureml_py38/lib/python3.8/concurrent/futures/thread.py", line 57, in run result = self.fn(*self.args, **self.kwargs) File "/anaconda/envs/azureml_py38/lib/python3.8/site-packages/azureml/pipeline/core/graph.py", line 3596, in get_or_create_module_for_fingerprint raise ex File "/anaconda/envs/azureml_py38/lib/python3.8/site-packages/azureml/pipeline/core/graph.py", line 3594, in get_or_create_module_for_fingerprint module_id = node._module_builder.build() File "/anaconda/envs/azureml_py38/lib/python3.8/site-packages/azureml/pipeline/core/_module_builder.py", line 62, in build module_id = self._module_provider.create_module( File "/anaconda/envs/azureml_py38/lib/python3.8/site-packages/azureml/pipeline/core/_aeva_provider.py", line 327, in create_module module_entity = _AevaModuleProvider.module_creation(module_def, content_path, File "/anaconda/envs/azureml_py38/lib/python3.8/site-packages/azureml/pipeline/core/_aeva_provider.py", line 293, in module_creation storage_id = module_uploader.upload(directory=content_path) File "/anaconda/envs/azureml_py38/lib/python3.8/site-packages/azureml/pipeline/core/_aeva_provider.py", line 81, in upload storage_id = snapshots_client.create_snapshot(directory) File "/anaconda/envs/azureml_py38/lib/python3.8/site-packages/azureml/_restclient/snapshots_client.py", line 110, in create_snapshot self._validate_snapshot_file_count(file_or_folder_path, len(entries_to_send), raise_on_validation_failure) File "/anaconda/envs/azureml_py38/lib/python3.8/site-packages/azureml/_restclient/snapshots_client.py", line 79, in _validate_snapshot_file_count raise SnapshotException(error_message) azureml.exceptions._azureml_exception.SnapshotException: SnapshotException: Message: ====================================================================

While attempting to take snapshot of /mnt/batch/tasks/shared/LS_root/mounts/clusters/ruaburub3/code/Users/ruaburub Your project exceeds the file limit of 2000.

====================================================================

    InnerException None
    ErrorResponse

{ "error": { "message": "====================================================================\n\nWhile attempting to take snapshot of /mnt/batch/tasks/shared/LS_root/mounts/clusters/ruaburub3/code/Users/ruaburub\nYour project exceeds the file limit of 2000.\n\n====================================================================\n\n" } }

And When I run the forecast.r I get: azureuser@ruaburub3:~/cloudfiles/code/Users/ruaburub/REntryScript$ Rscript forecast.r /bin/bash: /anaconda/envs/azureml_py38/lib/libtinfo.so.6: no version information available (required by /bin/bash) Error in library(forecast) : there is no package called ‘forecast’ Execution halted

This is how my files look like: image