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Accepted
Karthik S
Asked: 2024-06-25 13:37:30 +0800 CST

'azureml.pipeline' 和 azureml.widgets 均出现 ModuleNotFoundError

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尝试导入PythonScriptStep和RunDetails使用时：

from azureml.pipeline.steps import PythonScriptStep
from azureml.widgets import RunDetails

获取ModuleNotFoundError: No module named 'azureml.pipeline' ModuleNotFoundError：没有名为“azureml.widgets”的模块错误

我尝试使用以下方法手动安装 azureml 管道：

!pip install azureml-pipeline

出现各种不兼容错误：

ERROR: ray 2.0.0 has requirement click<=8.0.4,>=7.0, but you'll have click 8.1.3 which is incompatible.
ERROR: ray 2.0.0 has requirement grpcio<=1.43.0,>=1.28.1; python_version < "3.10", but you'll have grpcio 1.54.2 which is incompatible.
ERROR: pyopenssl 23.0.0 has requirement cryptography<40,>=38.0.0, but you'll have cryptography 42.0.8 which is incompatible.
ERROR: jupyterlab-server 2.23.0 has requirement jinja2>=3.0.3, but you'll have jinja2 2.11.2 which is incompatible.
ERROR: datasets 2.3.2 has requirement dill<0.3.6, but you'll have dill 0.3.6 which is incompatible.
ERROR: dask-sql 2023.6.0 has requirement pandas>=1.4.0, but you'll have pandas 1.1.5 which is incompatible.
ERROR: azureml-widgets 1.56.0 has requirement azureml-core~=1.56.0, but you'll have azureml-core 1.51.0.post1 which is incompatible.
ERROR: azureml-widgets 1.56.0 has requirement azureml-telemetry~=1.56.0, but you'll have azureml-telemetry 1.51.0 which is incompatible.
ERROR: azureml-inference-server-http 0.8.4 has requirement flask<2.3.0, but you'll have flask 2.3.2 which is incompatible.
ERROR: azure-cli 2.49.0 has requirement azure-keyvault-keys==4.8.0b2, but you'll have azure-keyvault-keys 4.8.0 which is incompatible.
ERROR: azure-cli 2.49.0 has requirement azure-mgmt-keyvault==10.2.0, but you'll have azure-mgmt-keyvault 10.2.1 which is incompatible.
ERROR: azure-cli 2.49.0 has requirement azure-mgmt-resource==22.0.0, but you'll have azure-mgmt-resource 21.1.0b1 which is incompatible.
ERROR: azure-cli-core 2.49.0 has requirement msal[broker]==1.20.0, but you'll have msal 1.22.0 which is incompatible.
ERROR: autokeras 1.0.16 has requirement tensorflow<=2.5.0,>=2.3.0, but you'll have tensorflow 2.11.0 which is…
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有人可以帮我解决这些错误吗？

1 个回答

  1. Best Answer

    如果您在 ml 工作区中工作，则可以将内核更改为azureml_py38 sdk v1，如下图所示。

    在此处输入图片描述

    如果您想在本地创建单独的环境，那么请使用终端中的以下命令为该环境创建一个 yml 文件。

    conda env export > environment.yml

    在此处输入图片描述

    接下来， 使用以下命令使用该 yml文件创建单独的 conda 环境。

    conda env create -f environment.yml
    • 1

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