why does installing imblearn with pip is failing? - imblearn

Question

I am trying to install the python package "imblearn" to balanace datasets,
with the command pip install imblearn.
but it keeps failing.
trying from cmdand from PowerShell with admin privileges,
with regular pip command, and with git clone to the repo and then pip install.
everything is failing.
the error is:
C:\Users\ronke>pip install imblearn
Collecting imblearn
Using cached imblearn-0.0-py2.py3-none-any.whl (1.9 kB)
Collecting imbalanced-learn
Using cached imbalanced_learn-0.10.1-py3-none-any.whl (226 kB)
Requirement already satisfied: scipy>=1.3.2 in c:\networks\python3.8\lib\site-packages (from imbalanced-learn->imblearn) (1.6.3)
Collecting scikit-learn>=1.0.2
Using cached scikit-learn-1.2.0.tar.gz (7.2 MB)
Installing build dependencies ... error
error: subprocess-exited-with-error
× pip subprocess to install build dependencies did not run successfully.
│ exit code: 1
╰─> [73 lines of output]
Ignoring numpy: markers 'python_version == "3.10" and platform_system == "Windows" and platform_python_implementation != "PyPy"' don't match your environment
Collecting setuptools<60.0
Using cached setuptools-59.8.0-py3-none-any.whl (952 kB)
Collecting wheel
Using cached wheel-0.38.4-py3-none-any.whl (36 kB)
Collecting Cython>=0.29.24
Using cached Cython-0.29.32-py2.py3-none-any.whl (986 kB)
Collecting oldest-supported-numpy
Using cached oldest_supported_numpy-2022.11.19-py3-none-any.whl (4.9 kB)
Collecting scipy>=1.3.2
Using cached scipy-1.9.3.tar.gz (42.1 MB)
Installing build dependencies: started
Installing build dependencies: finished with status 'done'
Getting requirements to build wheel: started
Getting requirements to build wheel: finished with status 'done'
Installing backend dependencies: started
Installing backend dependencies: finished with status 'done'
Preparing metadata (pyproject.toml): started
Preparing metadata (pyproject.toml): finished with status 'error'
error: subprocess-exited-with-error
Preparing metadata (pyproject.toml) did not run successfully.
exit code: 1
[37 lines of output]
+ meson setup --prefix=c:\networks\python3.8 C:\Users\ronke\AppData\Local\Temp\pip-install-n9p_hxtm\scipy_cef72cd617894d719469ea6e03d892cb C:\Users\ronke\AppData\Local\Temp\pip-install-n9p_hxtm\scipy_cef72cd617894d719469ea6e03d892cb\.mesonpy-jv80z8m8\build --native-file=C:\Users\ronke\AppData\Local\Temp\pip-install-n9p_hxtm\scipy_cef72cd617894d719469ea6e03d892cb\.mesonpy-native-file.ini -Ddebug=false -Doptimization=2
The Meson build system
Version: 1.0.0
Source dir: C:\Users\ronke\AppData\Local\Temp\pip-install-n9p_hxtm\scipy_cef72cd617894d719469ea6e03d892cb
Build dir: C:\Users\ronke\AppData\Local\Temp\pip-install-n9p_hxtm\scipy_cef72cd617894d719469ea6e03d892cb\.mesonpy-jv80z8m8\build
Build type: native build
Project name: SciPy
Project version: 1.9.3
Activating VS 17.1.3
C compiler for the host machine: cl (msvc 19.31.31105 "Microsoft (R) C/C++ Optimizing Compiler Version 19.31.31105 for x64")
C linker for the host machine: link link 14.31.31105.0
C++ compiler for the host machine: cl (msvc 19.31.31105 "Microsoft (R) C/C++ Optimizing Compiler Version 19.31.31105 for x64")
C++ linker for the host machine: link link 14.31.31105.0
Host machine cpu family: x86_64
Host machine cpu: x86_64
Compiler for C supports arguments -Wno-unused-but-set-variable: NO
Compiler for C supports arguments -Wno-unused-but-set-variable: NO (cached)
Compiler for C supports arguments -Wno-unused-function: NO
Compiler for C supports arguments -Wno-conversion: NO
Compiler for C supports arguments -Wno-misleading-indentation: NO
Compiler for C supports arguments -Wno-incompatible-pointer-types: NO
Library m found: NO
..\..\meson.build:57:0: ERROR: Unknown compiler(s): [['ifort'], ['gfortran'], ['flang'], ['pgfortran'], ['g95']]
The following exception(s) were encountered:
Running `ifort --version` gave "[WinError 2] The system cannot find the file specified"
Running `ifort -V` gave "[WinError 2] The system cannot find the file specified"
Running `gfortran --version` gave "[WinError 2] The system cannot find the file specified"
Running `gfortran -V` gave "[WinError 2] The system cannot find the file specified"
Running `flang --version` gave "[WinError 2] The system cannot find the file specified"
Running `flang -V` gave "[WinError 2] The system cannot find the file specified"
Running `pgfortran --version` gave "[WinError 2] The system cannot find the file specified"
Running `pgfortran -V` gave "[WinError 2] The system cannot find the file specified"
Running `g95 --version` gave "[WinError 2] The system cannot find the file specified"
Running `g95 -V` gave "[WinError 2] The system cannot find the file specified"
A full log can be found at C:\Users\ronke\AppData\Local\Temp\pip-install-n9p_hxtm\scipy_cef72cd617894d719469ea6e03d892cb\.mesonpy-jv80z8m8\build\meson-logs\meson-log.txt
[end of output]
note: This error originates from a subprocess, and is likely not a problem with pip.
error: metadata-generation-failed
Encountered error while generating package metadata.
See above for output.
note: This is an issue with the package mentioned above, not pip.
hint: See above for details.
[end of output]
note: This error originates from a subprocess, and is likely not a problem with pip.
error: subprocess-exited-with-error
× pip subprocess to install build dependencies did not run successfully.
│ exit code: 1
╰─> See above for output.
note: This error originates from a subprocess, and is likely not a problem with pip.
Does someone know how to fix it?
thanks
Ron

Answer 1

I've condensed this to show the key part of the error:
Collecting scipy>=1.3.2
Using cached scipy-1.9.3.tar.gz (42.1 MB)
...
..\..\meson.build:57:0: ERROR: Unknown compiler(s): [['ifort'], ['gfortran'], ['flang'], ['pgfortran'], ['g95']]
Which is saying that scipy==1.9.3 failed to compile because a Fortran compiler was not availalbe.
This is probably caused by a 32-bit version of Python / Windows, since pre-compiled scipy and scikit-learn wheels are being phased out for 32-bit systems, and we're no longer testing 32-bit Windows in imblearn (see PR#936).
One possible fix is to install a copy of Python with Anaconda or Miniconda, then:
conda install -c conda-forge imbalanced-learn