Azure-docs: AksCompute.attach is no longer supported.

[strategywise]

The documenation here appears to be out of date. I've been trying to attach ML service to a running AKS cluster for the better part of 10 hrs and have run int multiple issues.

-Only AKS version 1.11.3 is supported.
AKS will only update to 1.11.4 now..

-attach Method calls are depreciated and now are now attach_config

Please update this documentation to reflect the current status of the product. We have wasted hrs of compute and labor trying to figure out figure out this documentation moving target.

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Document Details

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• ID: cc87eb58-5bdf-15d3-1a52-ca9d0706726f
• Version Independent ID: 460fb6ba-ca28-2505-b4d9-1dec3972d968
• Content: Deploy models to Kubernetes from Azure Machine Learning service
• Content Source: articles/machine-learning/service/how-to-deploy-to-aks.md
• Service: machine-learning
• GitHub Login: @raymondlaghaeian
• Microsoft Alias: raymondl

[AshokPeddakotla-MSFT]

@strategywise Thanks for the feedback! I have assigned the issue to the content author to investigate further and update the document as appropriate.

[Blackmist]

@strategywise I appologize for the misinformation here. I've checked with the developers and the supported version for AKS should be 1.11.*.

We're in the process of updating the documentation. The changes should go live later today. Here's the update for attaching:

# Set the resource group that contains the AKS cluster and the cluster name
resource_group = 'myresourcegroup'
cluster_name = 'mycluster'

# Attatch the cluster to your workgroup
attach_config = AksCompute.attach_configuration(resource_group = resource_group,
                                         cluster_name = cluster_name)
compute = ComputeTarget.attach(ws, 'mycompute', attach_config)

[YutongTie-MSFT]

@strategywise
We will now proceed to close this thread. If there are further questions regarding this matter, please respond here and @YutongTie-MSFT and we will gladly continue the discussion.