如何在 Azure 机器学习工作室的 jupyter notebook 中安装 TensorFlow答案

【问题标题】：How to install TensorFlow in jupyter notebook on Azure Machine Learning Studio如何在 Azure 机器学习工作室的 jupyter notebook 中安装 TensorFlow
【发布时间】：2017-04-23 06:15:59
【问题描述】：

我正在尝试测试 Azure 机器学习工作室。

我想使用 TensorFlow，但 Jupyter notebook 上没有安装它。

如何在 notebook 上使用一些机器学习库，如 TensorFlow、Theano、Keras...？

我试过这个：

!pip install tensorflow

但是，我得到了如下错误：

Collecting tensorflow
  Downloading tensorflow-0.12.0rc0-cp34-cp34m-manylinux1_x86_64.whl (43.1MB)
    100% |################################| 43.1MB 27kB/s 
Collecting protobuf==3.1.0 (from tensorflow)
  Downloading protobuf-3.1.0-py2.py3-none-any.whl (339kB)
    100% |################################| 348kB 3.7MB/s 
Collecting six>=1.10.0 (from tensorflow)
  Downloading six-1.10.0-py2.py3-none-any.whl
Requirement already satisfied: numpy>=1.11.0 in /home/nbcommon/anaconda3_23/lib/python3.4/site-packages (from tensorflow)
Requirement already satisfied: wheel>=0.26 in /home/nbcommon/anaconda3_23/lib/python3.4/site-packages (from tensorflow)
Requirement already satisfied: setuptools in /home/nbcommon/anaconda3_23/lib/python3.4/site-packages/setuptools-27.2.0-py3.4.egg (from protobuf==3.1.0->tensorflow)
Installing collected packages: six, protobuf, tensorflow
  Found existing installation: six 1.9.0
    DEPRECATION: Uninstalling a distutils installed project (six) has been deprecated and will be removed in a future version. This is due to the fact that uninstalling a distutils project will only partially uninstall the project.
    Uninstalling six-1.9.0:
      Successfully uninstalled six-1.9.0
  Rolling back uninstall of six
Exception:
Traceback (most recent call last):
  File "/home/nbcommon/anaconda3_23/lib/python3.4/site-packages/pip/basecommand.py", line 215, in main
    status = self.run(options, args)
  File "/home/nbcommon/anaconda3_23/lib/python3.4/site-packages/pip/commands/install.py", line 342, in run
    prefix=options.prefix_path,
  File "/home/nbcommon/anaconda3_23/lib/python3.4/site-packages/pip/req/req_set.py", line 784, in install
    **kwargs
  File "/home/nbcommon/anaconda3_23/lib/python3.4/site-packages/pip/req/req_install.py", line 851, in install
    self.move_wheel_files(self.source_dir, root=root, prefix=prefix)
  File "/home/nbcommon/anaconda3_23/lib/python3.4/site-packages/pip/req/req_install.py", line 1064, in move_wheel_files
    isolated=self.isolated,
  File "/home/nbcommon/anaconda3_23/lib/python3.4/site-packages/pip/wheel.py", line 345, in move_wheel_files
    clobber(source, lib_dir, True)
  File "/home/nbcommon/anaconda3_23/lib/python3.4/site-packages/pip/wheel.py", line 329, in clobber
    os.utime(destfile, (st.st_atime, st.st_mtime))
PermissionError: [Errno 1] Operation not permitted

【问题讨论】：

标签： tensorflow theano jupyter-notebook keras azure-machine-learning-studio

【解决方案1】：

如您所见，活动用户无权写入 Azure 机器学习工作室笔记本中的 site-packages 目录。您可以尝试将包安装到您确实具有写入权限的另一个目录（如默认工作目录）并从那里导入，但我建议使用以下低麻烦选项。

Azure Notebooks 是一个独立的 Jupyter Notebook 服务，可让您安装 tensorflow、theano 和 keras。与 AML Studio 中的笔记本一样，这些笔记本将保留在您的帐户中。主要的缺点是，如果您想通过例如访问您的工作区。 Python azureml 包，你需要provide your workspace id/authorization token 来建立连接。（在 Azure ML Studio 中，这些值是从当前工作区自动加载的。）否则，我相信 Azure Notebooks 可以完成您过去在 AML Studio 中执行的所有操作。

【讨论】：