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View Code? Open in Web Editor NEWTemplate for getting started with automated ML Ops on Azure Machine Learning
License: MIT License
Template for getting started with automated ML Ops on Azure Machine Learning
License: MIT License
Actions Tab image is not available anymore. We should fix this.
ReadMe.md, Getting Started, 4. Define your workspace parameters
Below sentence is ambiguous:
"Change the name parameter to the name of your workspace, if you have already created one or choose any name, if you want the Action to create a new workpace."
Change like below can be more clear:
"If you already have an Azure ML Workspace under that resource group, change the name parameter to the name of your workspace, if you want the Action to create a new workspace in that resource group, pick a name for your new workspace, and assign it to the name parameter."
Hi - we are experiencing an unexpected error which we haven't been able to solve for a while now. All the steps before aml-deploy run just fine, but aml-deploy is suddenly not being able to pull the registered model. The name and version of the model coming from aml-registermodel have been cross-checked and are being correctly passed to aml-deploy. Based on the logs looks like there are also no issues with workspace authorization.
Hoping you've seen anything similar happen with the template and can help us.
Attaching the action log, deploy.json parameters and aml_arm_config json. We have kept the workflow largely the same except for adding some debugging actions.
deploy.json
{
"name": "test",
"deployment_compute_target": "akscompute"
}
aml_arm_config from aml-workspace (found in $GITHUB_WORKSPACE/.azureml/)
{"Id": null, "Scope": "/subscriptions/{subscriptionid}/resourceGroups/{resourcegroup}/providers/Microsoft.MachineLearningServices/workspaces/{workspacename}"}
after Run ID was successful
ERROR: cannot import name 'Iterator' from 'collections' (/opt/az/lib/python3.10/collections/init.py)
##[error]Script failed with exit code: 1
/usr/bin/az account clear
####Error Details:
get_workspace error using subscription_id=xxx, resource_group_name=mlops-ga-rg , workspace_name=mlops-ga-ws
Message: ***
"error_details": ***
"error": ***
"code": "AuthorizationFailed",
"message": "The client 'xxx' with object id 'xxx' does not have authorization to perform action 'Microsoft.MachineLearningServices/workspaces/read' over scope '/subscriptions/***/resourceGroups/mlops-ga-rg /providers/Microsoft.MachineLearningServices/workspaces/mlops-ga-ws' or the scope is invalid. If access was recently granted, please refresh your credentials."
***
***,
"status_code": 403,
"url": "https://management.azure.com/subscriptions/***/resourceGroups/mlops-ga-rg%20/providers/Microsoft.MachineLearningServices/workspaces/mlops-ga-ws?api-version=2020-01-01"
InnerException None
ErrorResponse
####The object id that is getting shown here does not match the sp I created
####Double checked the permission of the sp and the value of the secret in github repo
Any ideas?
I am finding this error while following the steps in the instruction guide.
The error is :
FileNotFoundError(2, "No such file or directory: '/azureml-envs/azureml_/bin/python3.6'")
I believe there was another issue raised with the same error. Any leads will be appreciated.
master
code
) and comment the code. Describe in the documentation how the user can change the behavior of the workflow.Add more details in the README:
This is probably related to Azure/aml-registermodel#27. Is there a way to add multiple files to registermodel.json config (or any other way) without having to pickle them into a single file? Would it accept a list of files?
ERROR conda.core.link:_execute(502): An error occurred while installing package 'conda-forge::cycler-0.11.0-pyhd8ed1ab_0'.
FileNotFoundError(2, "No such file or directory: '/azureml-envs/azureml_1767a447844ba221bf5dc7377e1011f3/bin/python3.6'")
Attempting to roll back.
done
FileNotFoundError(2, "No such file or directory: '/azureml-envs/azureml_1767a447844ba221bf5dc7377e1011f3/bin/python3.6'")
Hi,
We have a situation where submitting a Python pipeline run through gitactions, gitaction is detecting a non-zero exit code even when the underlying python script exited with a finished-zero code. Even a simple print statement step would finish but the action would report it as failed.
pipeline_steps = StepSequence(steps=[step_1_choose_data])
pipeline = Pipeline(workspace=workspace, steps=pipeline_steps)
pipeline.validate()
return pipeline
===
dotnet-runtime-*
and replace *
with 2.1
.Happy to discuss details.
I used the steps mentioned in youtube video.
But my workflow failed with following error.
After talking to Ashish , I got to know , I need to run following CLI commands.
az provider register --namespace Microsoft.MachineLearningServices
az provider register --namespace Microsoft.MachineLearning
az provider register --namespace Microsoft.Compute
This should be covered in youtube video and documentation a well.
Message: At least one resource deployment operation failed. Please list deployment operations for details. Please see https://aka.ms/DeployOperations for usage details.
Exception Details:
Error Code: Conflict
Message: 'error': 'code': 'MissingSubscriptionRegistration', 'message': "The subscription is not registered to use namespace 'Microsoft.MachineLearningServices'. See https://aka.ms/rps-not-found for how to register subscriptions.", 'details': ['code': 'MissingSubscriptionRegistration', 'target': 'Microsoft.MachineLearningServices', 'message': "The subscription is not registered to use namespace 'Microsoft.MachineLearningServices'. See https://aka.ms/rps-not-found for how to register subscriptions."]***
ErrorResponse
"error": ***
"message": "Unable to create the workspace. At least one resource deployment operation failed. Please list deployment operations for details. Please see https://aka.ms/DeployOperations for usage details."
***
Thanks,
Manish
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