Azure-docs: Documentation failure: Environment name can not start with the prefix AzureML

[marciomocellin]

I executed the codes on this page (step-by-step), but the register_model (PythonScriptStep) fails.

Response status code does not indicate success: 400 (Environment name can not start with the prefix AzureML. To alter a curated environment first create).

{
  "error": {
    "code": "UserError",
    "severity": null,
    "message": "Environment name can not start with the prefix AzureML. To alter a curated environment first create a copy of it.",
    "messageFormat": null,
    "messageParameters": null,
    "referenceCode": null,
    "detailsUri": null,
    "target": null,
    "details": [],
    "innerError": null,
    "debugInfo": null
  },
  "correlation": {
    "operation": "91f334b424b7274bb7bf43a765072323",
    "request": "92e8b6fa9907974d"
  },
  "environment": "eastus2",
  "location": "eastus2",
  "time": "2020-11-09T20:04:19.4350909+00:00",
  "componentName": "execution"
}

executionlogs.txt

[2020-11-09 18:35:45Z] Experiment: titanic_automl
[2020-11-09 18:35:45Z] Run Id:     602cc2d3-ffab-423a-a931-d17dc1468065
[2020-11-09 18:35:45Z] Run target: cpu-cluster
[2020-11-09 18:35:47Z] Starting run in Execution Service
[2020-11-09 18:35:48Z] Failed to start the job because of exception_type: ServiceInvocationException, error: Failure in StartSnapshotRun while calling service Execution; HttpMethod: POST; Response StatusCode: BadRequest; Exception type: Microsoft.RelInfra.Extensions.HttpRequestDetailException, stack trace:    at Microsoft.Aether.EsCloud.Common.Client.ExecutionServiceClient.StartSnapshotRunAsync(String jobId, RunDefinition runDefinition, String runId, WorkspaceIdentity workspaceIdentity, String experimentName, CreatedBy createdBy) in d:\dbs\sh\Ae\1028_125951\cmd\i\src\aether\platform\backendV2\Clouds\ESCloud\ESCloudCommon\Client\ExecutionServiceClient.cs:line 94
   at Microsoft.Aether.EsCloud.Common.JobProcessor.StartRunAsync(EsCloudJobMetadata job) in d:\dbs\sh\Ae\1028_125951\cmd\i\src\aether\platform\backendV2\Clouds\ESCloud\ESCloudCommon\JobProcessor.cs:line 302

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Document Details

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• ID: 081ba4f6-5b23-324d-2b89-38e4abd8ad32
• Version Independent ID: e36e091a-2901-8afd-0a22-7dcefa2ef77e
• Content: Use automated ML in ML pipelines - Azure Machine Learning
• Content Source: articles/machine-learning/how-to-use-automlstep-in-pipelines.md
• Service: machine-learning
• Sub-service: core
• GitHub Login: @lobrien
• Microsoft Alias: laobri

[BharathNimmala-MSFT]

@marciomocellin Thank you for reaching out , our team will review this and get back to you at the earliest.

[RohitMungi-MSFT]

@marciomocellin Could you try to update the name of your environment after getting the curated environment?

aml_run_config.environment.name = 'MyEnvironment'
aml_run_config.environment.version = '1.0'

[marciomocellin]

thanks @RohitMungi-MSFT. I already solved this

curated_environment = Environment.get(workspace=ws, name="Tutorial")