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import os
from os.path import join
import warnings
from sklearn._build_utils import maybe_cythonize_extensions
def configuration(parent_package='', top_path=None):
from numpy.distutils.misc_util import Configuration
from numpy.distutils.system_info import get_info, BlasNotFoundError
import numpy
libraries = []
if os.name == 'posix':
libraries.append('m')
config = Configuration('sklearn', parent_package, top_path)
# submodules with build utilities
config.add_subpackage('__check_build')
config.add_subpackage('_build_utils')
# submodules which do not have their own setup.py
# we must manually add sub-submodules & tests
config.add_subpackage('compose')
config.add_subpackage('compose/tests')
config.add_subpackage('covariance')
config.add_subpackage('covariance/tests')
config.add_subpackage('cross_decomposition')
config.add_subpackage('cross_decomposition/tests')
config.add_subpackage('feature_selection')
config.add_subpackage('feature_selection/tests')
config.add_subpackage('gaussian_process')
config.add_subpackage('gaussian_process/tests')
config.add_subpackage('mixture')
config.add_subpackage('mixture/tests')
config.add_subpackage('model_selection')
config.add_subpackage('model_selection/tests')
config.add_subpackage('neural_network')
config.add_subpackage('neural_network/tests')
config.add_subpackage('preprocessing')
config.add_subpackage('preprocessing/tests')
config.add_subpackage('semi_supervised')
config.add_subpackage('semi_supervised/tests')
# submodules which have their own setup.py
# leave out "linear_model" and "utils" for now; add them after cblas below
config.add_subpackage('cluster')
config.add_subpackage('datasets')
config.add_subpackage('decomposition')
config.add_subpackage('ensemble')
config.add_subpackage('externals')
config.add_subpackage('feature_extraction')
config.add_subpackage('manifold')
config.add_subpackage('metrics')
config.add_subpackage('neighbors')
config.add_subpackage('tree')
config.add_subpackage('svm')
# add cython extension module for isotonic regression
config.add_extension('_isotonic',
sources=['_isotonic.pyx'],
include_dirs=[numpy.get_include()],
libraries=libraries,
)
# some libs needs cblas, fortran-compiled BLAS will not be sufficient
blas_info = get_info('blas_opt', 0)
if (not blas_info) or (
('NO_ATLAS_INFO', 1) in blas_info.get('define_macros', [])):
config.add_library('cblas',
sources=[join('src', 'cblas', '*.c')])
warnings.warn(BlasNotFoundError.__doc__)
# the following packages depend on cblas, so they have to be build
# after the above.
config.add_subpackage('linear_model')
config.add_subpackage('utils')
# add the test directory
config.add_subpackage('tests')
maybe_cythonize_extensions(top_path, config)
return config
if __name__ == '__main__':
from numpy.distutils.core import setup
setup(**configuration(top_path='').todict())