Azure / Azure/MachineLearningNotebooks
Clarify Use of `azureml.core.runconfig.DockerConfiguration`
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- Jupyter Notebook
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描述
@keijik @cody-dkdc
[In this example notebook](https://github.com/Azure/MachineLearningNotebooks/blob/master/how-to-use-azureml/ml-frameworks/fastai/fastai-with-custom-docker/fastai-with-custom-docker.ipynb), you are using deprecated code
```py
from azureml.core import Environment
fastai_env = Environment("fastai")
fastai_env.docker.enabled = True
```
I get the warning
```
'enabled' is deprecated. Please use the azureml.core.runconfig.DockerConfiguration object with the 'use_docker' param instead.
```
However, from [the docs](https://docs.microsoft.com/en-us/python/api/azureml-core/azureml.core.runconfig.dockerconfiguration?view=azure-ml-py) its a bit ambiguous on how to use it. It appears that the below code is incorrect. What is the correct way to use this instead? Can the documentation be improved? Also can you provide a better warning stating the version number at which this will be deprecated, or say that it will be deprecated in the future since it isn't deprecated as of right now?
```py
from azureml.core.runconfig import DockerConfiguration
dc = DockerConfiguration(use_docker=True)
fastai_env.docker = dc
```
The [documentation for this](https://docs.microsoft.com/en-us/python/api/azureml-core/azureml.core.runconfig.dockerconfiguration?view=azure-ml-py) doesn't really provide many hints on where to use this configuration correctly. Can an example be made for this?
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研究方向
先檢查 fastai-with-custom-docker.ipynb 範例和連結的 DockerConfiguration 文件,然後比較它們的使用方式和棄用措辭。完成的標準是範例和文件清楚地展示受支援的設定方式,且警告準確說明舊 API 何時被棄用。
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評估
- 技術堆疊
- azure, jupyter-notebook, python
- 領域
- cloud, documentation, machine-learning
- Issue 類型
- 文件
- 難度
- 3/5
- 預估耗時
- 1-2 天
- 活躍度
- 停滯
- 描述清晰度
- 基本清楚
- 新手友好度
- 35/100