Win10下使用dbn.tensorflow导入失败及依赖安装报错求助

一、初始导入错误：Import "dbn.tensorflow" could not be resolved #

你在代码中使用：

from dbn.tensorflow import SupervisedDBNClassification

遇到导入失败问题，可按以下步骤解决：

• 安装对应的deep-belief-network库：

  pip install deep-belief-network
  

• 若你是从GitHub克隆的源码项目，需先进入项目根目录，执行本地安装：

  pip install .
  

• 确认当前Python环境与安装库的环境一致，避免虚拟环境导致的路径不匹配问题。

二、安装requirements.txt时的报错问题 #

安装依赖时出现如下报错（核心为Cython缺失）：

ERROR: Command errored out with exit status 1:
 command: 'c:\users\pc\desktop\ali\rbfnetworks\deep-belief-network-master\env\scripts\python.exe' -c 'import sys, setuptools, tokenize; sys.argv[0] = '"'"'C:\Users\pc\AppData\Local\Temp\pip-install-794c6ozn\scipy\setup.py'"'"'; __file__='"'"'C:\Users\pc\AppData\Local\Temp\pip-install-794c6ozn\scipy\setup.py'"'"';f=getattr(tokenize, '"'"'open'"'"', open)(__file__);code=f.read().replace('"'"'
'"'"', '"'"'
'"'"');f.close();exec(compile(code, __file__, '"'"'exec'"'"'))' egg_info --egg-base pip-egg-info
     cwd: C:\Users\pc\AppData\Local\Temp\pip-install-794c6ozn\scipy\
Complete output (93 lines):
Running from numpy source directory.
C:\Users\pc\AppData\Local\Temp\easy_install-e0ydh06f\numpy-1.23.1\setup.py:86: DeprecationWarning:

  `numpy.distutils` is deprecated since NumPy 1.23.0, as a result
  of the deprecation of `distutils` itself. It will be removed for
  Python >= 3.12. For older Python versions it will remain present.
  It is recommended to use `setuptools < 60.0` for those Python versions.
  For more details, see:
    https://numpy.org/devdocs/reference/distutils_status_migration.html


  import numpy.distutils.command.sdist
Traceback (most recent call last):
  File "C:\Users\pc\AppData\Local\Temp\easy_install-e0ydh06f\numpy-1.23.1\setup.py", line 251, in generate_cython
    - `pip install .`       (from a git repo or downloaded source
ModuleNotFoundError: No module named 'Cython'
...

解决步骤：

1. 先手动安装Cython：

   pip install cython
   

2. 根据报错提示，安装指定版本的setuptools以兼容numpy.distutils：

   pip install setuptools<60.0
   

3. 重新执行requirements安装：

   pip install -r requirements.txt
   

4. 若仍存在scipy编译问题，可尝试用预编译包安装（比如使用conda环境的话）：

   conda install scipy
   

内容的提问来源于stack exchange，提问作者lena