increase scoring_timeout_ms

Hi,

the "scoring_time_out" has currently a max_limit of 300000 [ms]. Is it possible to increase that further? I created a WebService which trains models based on our Lab Data etc.. And for some products/materials the modelling will take more that 300s. Or is there a way to "bypass" the scoring_timeout_ms?

service = Webservice(name="ModellingWebService", workspace=ws)
service.update( inference_config=inference_config,
autoscale_enabled = True,
autoscale_target_utilization=50,
autoscale_min_replicas=1,
autoscale_max_replicas=10,
cpu_cores = 1,
cpu_cores_limit=6,
memory_gb = 3,
memory_gb_limit=20,
scoring_timeout_ms = 300000, #max 300s or update fails
max_request_wait_time = 15000)

Grüße
Marvin
---
#### Document Details

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* ID: 2b1a7ca9-d49f-d32c-8b43-3e8fc9576815
* Version Independent ID: bc09c6bb-e989-14e6-5ab4-06a1fcd2f3a1
* Content: [azureml.core.webservice.aks.AksWebservice class - Azure Machine Learning Python](https://docs.microsoft.com/en-us/python/api/azureml-core/azureml.core.webservice.aks.akswebservice?view=azure-ml-py)
* Content Source: [AzureML-Docset/stable/docs-ref-autogen/azureml-core/azureml.core.webservice.aks.AksWebservice.yml](https://github.com/MicrosoftDocs/MachineLearning-Python-pr/blob/live/AzureML-Docset/stable/docs-ref-autogen/azureml-core/azureml.core.webservice.aks.AksWebservice.yml)
* Service: **machine-learning**
* Sub-service: **core**
* GitHub Login: @DebFro
* Microsoft Alias: **debfro**

從 AksWebservice 類別文件及其連結的來源 AzureML-Docset/stable/docs-ref-autogen/azureml-core/azureml.core.webservice.aks.akswebservice.yml 開始。檢查 scoring_timeout_ms 的文件說明，以及 300000 ms 的限制在哪裡強制執行；要完成此項工作，需要由 maintainer 確認的受支援變更或有文件記錄的替代方案。

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