我使用 Windows 8.0 64 位和 Docker 工具箱来创建和运行 docker 映像。所有其他库都很容易安装，但 scikit-learn 无法安装。我不知道我做错了什么。 我对 docker 非常陌生。
以下是我用来构建 Docker 映像的代码。
# Use an official Python runtime as the base image
FROM python:3.9-alpine
# Copy your application code into the container
COPY . /app
# Set the working directory
WORKDIR /app
# Install dependencies
RUN pip install numpy
RUN pip install pandas
RUN pip install scikit-learn
# Define the command to run your application
CMD [ "python", "classModel.py" ]
Numpy 和 pandas 下载并安装成功，但 scikit-learn 不成功。我收到以下错误。
36.8/36.8 MB 866.2 kB/s eta 0:00:00
Collecting numpy==1.19.3
Downloading numpy-1.19.3.zip (7.3 MB)
7.3/7.3 MB 2.9 MB/s eta 0:00:00
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'
Preparing metadata (pyproject.toml): started
Preparing metadata (pyproject.toml): still running...
Preparing metadata (pyproject.toml): finished with status 'error'
error: subprocess-exited-with-error
Preparing metadata (pyproject.toml) did not run successfully.
exit code: 1
> [228 lines of output]
Running from numpy source directory.
setup.py:480: UserWarning: Unrecognized setuptools command, proceeding with generating C
ython sources and expanding templates
run_build = parse_setuppy_commands()
Processing numpy/random/_bounded_integers.pxd.in
Processing numpy/random/mtrand.pyx
Processing numpy/random/_mt19937.pyx
Processing numpy/random/_bounded_integers.pyx.in
Processing numpy/random/_pcg64.pyx
Processing numpy/random/_generator.pyx
Processing numpy/random/bit_generator.pyx
Processing numpy/random/_sfc64.pyx
Processing numpy/random/_philox.pyx
Processing numpy/random/_common.pyx
Cythonizing sources
blas_opt_info:
blas_mkl_info:
customize UnixCCompiler
libraries mkl_rt not found in ['/usr/local/lib', '/usr/lib']
NOT AVAILABLE
blis_info:
libraries blis not found in ['/usr/local/lib', '/usr/lib']
NOT AVAILABLE
openblas_info:
libraries openblas not found in ['/usr/local/lib', '/usr/lib']
NOT AVAILABLE
atlas_3_10_blas_threads_info:
Setting PTATLAS=ATLAS
libraries tatlas not found in ['/usr/local/lib', '/usr/lib']
NOT AVAILABLE
atlas_3_10_blas_info:
libraries satlas not found in ['/usr/local/lib', '/usr/lib']
NOT AVAILABLE
atlas_blas_threads_info:
Setting PTATLAS=ATLAS
libraries ptf77blas,ptcblas,atlas not found in ['/usr/local/lib', '/usr/lib']
NOT AVAILABLE
atlas_blas_info:
libraries f77blas,cblas,atlas not found in ['/usr/local/lib', '/usr/lib']
NOT AVAILABLE
accelerate_info:
NOT AVAILABLE
/tmp/pip-install-e7n3td1r/numpy_ee8c2d6e1c364e55bedf17dbda5c5674/numpy/distutils/system_
info.py:1914: UserWarning:
Optimized (vendor) Blas libraries are not found.
Falls back to netlib Blas library which has worse performance.
A better performance should be easily gained by switching
Blas library.
if self._calc_info(blas):
blas_info:
libraries blas not found in ['/usr/local/lib', '/usr/lib']
NOT AVAILABLE
/tmp/pip-install-e7n3td1r/numpy_ee8c2d6e1c364e55bedf17dbda5c5674/numpy/distutils/system_
info.py:1914: UserWarning:
Blas (http://www.netlib.org/blas/) libraries not found.
Directories to search for the libraries can be specified in the
numpy/distutils/site.cfg file (section [blas]) or by setting
the BLAS environment variable.
if self._calc_info(blas):
blas_src_info:
NOT AVAILABLE
/tmp/pip-install-e7n3td1r/numpy_ee8c2d6e1c364e55bedf17dbda5c5674/numpy/distutils/system_
info.py:1914: UserWarning:
Blas (http://www.netlib.org/blas/) sources not found.
Directories to search for the sources can be specified in the
numpy/distutils/site.cfg file (section [blas_src]) or by setting
the BLAS_SRC environment variable.
if self._calc_info(blas):
NOT AVAILABLE
non-existing path in 'numpy/distutils': 'site.cfg'
lapack_opt_info:
lapack_mkl_info:
libraries mkl_rt not found in ['/usr/local/lib', '/usr/lib']
NOT AVAILABLE
openblas_lapack_info:
libraries openblas not found in ['/usr/local/lib', '/usr/lib']
NOT AVAILABLE
openblas_clapack_info:
libraries openblas,lapack not found in ['/usr/local/lib', '/usr/lib']
NOT AVAILABLE
flame_info:
libraries flame not found in ['/usr/local/lib', '/usr/lib']
NOT AVAILABLE
atlas_3_10_threads_info:
Setting PTATLAS=ATLAS
libraries lapack_atlas not found in /usr/local/lib
libraries tatlas,tatlas not found in /usr/local/lib
libraries lapack_atlas not found in /usr/lib
libraries tatlas,tatlas not found in /usr/lib
<class 'numpy.distutils.system_info.atlas_3_10_threads_info'>
NOT AVAILABLE
atlas_3_10_info:
libraries lapack_atlas not found in /usr/local/lib
libraries satlas,satlas not found in /usr/local/lib
libraries lapack_atlas not found in /usr/lib
libraries satlas,satlas not found in /usr/lib
<class 'numpy.distutils.system_info.atlas_3_10_info'>
NOT AVAILABLE
atlas_threads_info:
Setting PTATLAS=ATLAS
libraries lapack_atlas not found in /usr/local/lib
libraries ptf77blas,ptcblas,atlas not found in /usr/local/lib
libraries lapack_atlas not found in /usr/lib
libraries ptf77blas,ptcblas,atlas not found in /usr/lib
<class 'numpy.distutils.system_info.atlas_threads_info'>
NOT AVAILABLE
atlas_info:
libraries lapack_atlas not found in /usr/local/lib
libraries f77blas,cblas,atlas not found in /usr/local/lib
libraries lapack_atlas not found in /usr/lib
libraries f77blas,cblas,atlas not found in /usr/lib
<class 'numpy.distutils.system_info.atlas_info'>
NOT AVAILABLE
lapack_info:
libraries lapack not found in ['/usr/local/lib', '/usr/lib']
NOT AVAILABLE
/tmp/pip-install-e7n3td1r/numpy_ee8c2d6e1c364e55bedf17dbda5c5674/numpy/distutils/system_
info.py:1748: UserWarning:
Lapack (http://www.netlib.org/lapack/) libraries not found.
Directories to search for the libraries can be specified in the
numpy/distutils/site.cfg file (section [lapack]) or by setting
the LAPACK environment variable.
return getattr(self, '_calc_info_{}'.format(name))()
lapack_src_info:
NOT AVAILABLE
/tmp/pip-install-e7n3td1r/numpy_ee8c2d6e1c364e55bedf17dbda5c5674/numpy/distutils/system_
info.py:1748: UserWarning:
Lapack (http://www.netlib.org/lapack/) sources not found.
Directories to search for the sources can be specified in the
numpy/distutils/site.cfg file (section [lapack_src]) or by setting
the LAPACK_SRC environment variable.
return getattr(self, '_calc_info_{}'.format(name))()
NOT AVAILABLE
numpy_linalg_lapack_lite:
FOUND:
language = c
define_macros = [('HAVE_BLAS_ILP64', None), ('BLAS_SYMBOL_SUFFIX', '64_')]
/usr/local/lib/python3.9/distutils/dist.py:274: UserWarning: Unknown distribution option
: 'define_macros'
warnings.warn(msg)
running dist_info
running build_src
build_src
building py_modules sources
creating build
creating build/src.linux-x86_64-3.9
creating build/src.linux-x86_64-3.9/numpy
creating build/src.linux-x86_64-3.9/numpy/distutils
building library "npymath" sources
Could not locate executable gfortran
Could not locate executable f95
Could not locate executable ifort
Could not locate executable ifc
Could not locate executable lf95
Could not locate executable pgfortran
Could not locate executable nvfortran
Could not locate executable f90
Could not locate executable f77
Could not locate executable fort
Could not locate executable efort
Could not locate executable efc
Could not locate executable g77
Could not locate executable g95
Could not locate executable pathf95
Could not locate executable nagfor
don't know how to compile Fortran code on platform 'posix'
Traceback (most recent call last):
File "/usr/local/lib/python3.9/site-packages/pip/_vendor/pyproject_hooks/_in_process/_
in_process.py", line 353, in <module>
main()
File "/usr/local/lib/python3.9/site-packages/pip/_vendor/pyproject_hooks/_in_process/_
in_process.py", line 335, in main
json_out['return_val'] = hook(**hook_input['kwargs'])
File "/usr/local/lib/python3.9/site-packages/pip/_vendor/pyproject_hooks/_in_process/_
in_process.py", line 149, in prepare_metadata_for_build_wheel
return hook(metadata_directory, config_settings)
File "/tmp/pip-build-env-5m8dy8mn/overlay/lib/python3.9/site-packages/setuptools/build
_meta.py", line 157, in prepare_metadata_for_build_wheel
self.run_setup()
File "/tmp/pip-build-env-5m8dy8mn/overlay/lib/python3.9/site-packages/setuptools/build
_meta.py", line 248, in run_setup
super(_BuildMetaLegacyBackend,
File "/tmp/pip-build-env-5m8dy8mn/overlay/lib/python3.9/site-packages/setuptools/build
_meta.py", line 142, in run_setup
exec(compile(code, __file__, 'exec'), locals())
File "setup.py", line 508, in <module>
setup_package()
File "setup.py", line 500, in setup_package
setup(**metadata)
File "/tmp/pip-install-e7n3td1r/numpy_ee8c2d6e1c364e55bedf17dbda5c5674/numpy/distutils
/core.py", line 169, in setup
return old_setup(**new_attr)
File "/tmp/pip-build-env-5m8dy8mn/overlay/lib/python3.9/site-packages/setuptools/__ini
t__.py", line 165, in setup
return distutils.core.setup(**attrs)
File "/usr/local/lib/python3.9/distutils/core.py", line 148, in setup
dist.run_commands()
File "/usr/local/lib/python3.9/distutils/dist.py", line 966, in run_commands
self.run_command(cmd)
File "/usr/local/lib/python3.9/distutils/dist.py", line 985, in run_command
cmd_obj.run()
File "/tmp/pip-build-env-5m8dy8mn/overlay/lib/python3.9/site-packages/setuptools/comma
nd/dist_info.py", line 31, in run
egg_info.run()
File "/tmp/pip-install-e7n3td1r/numpy_ee8c2d6e1c364e55bedf17dbda5c5674/numpy/distutils
/command/egg_info.py", line 24, in run
self.run_command("build_src")
File "/usr/local/lib/python3.9/distutils/cmd.py", line 313, in run_command
self.distribution.run_command(command)
File "/usr/local/lib/python3.9/distutils/dist.py", line 985, in run_command
cmd_obj.run()
File "/tmp/pip-install-e7n3td1r/numpy_ee8c2d6e1c364e55bedf17dbda5c5674/numpy/distutils
/command/build_src.py", line 144, in run
self.build_sources()
File "/tmp/pip-install-e7n3td1r/numpy_ee8c2d6e1c364e55bedf17dbda5c5674/numpy/distutils
/command/build_src.py", line 155, in build_sources
self.build_library_sources(*libname_info)
File "/tmp/pip-install-e7n3td1r/numpy_ee8c2d6e1c364e55bedf17dbda5c5674/numpy/distutils
/command/build_src.py", line 288, in build_library_sources
sources = self.generate_sources(sources, (lib_name, build_info))
File "/tmp/pip-install-e7n3td1r/numpy_ee8c2d6e1c364e55bedf17dbda5c5674/numpy/distutils
/command/build_src.py", line 378, in generate_sources
source = func(extension, build_dir)
File "numpy/core/setup.py", line 663, in get_mathlib_info
raise RuntimeError("Broken toolchain: cannot link a simple C program")
RuntimeError: Broken toolchain: cannot link a simple C program
[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.
[notice] A new release of pip is available: 23.0.1 -> 23.2.1
[notice] To update, run: pip install --upgrade pip
[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.
[notice] A new release of pip is available: 23.0.1 -> 23.2.1
[notice] To update, run: pip install --upgrade pip
The command '/bin/sh -c pip install scikit-learn' returned a non-zero code: 1
我也面临同样的问题，我使用
python:latest